Class SearchJobsRequest.Builder

  • All Implemented Interfaces:
    SearchJobsRequestOrBuilder, com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Cloneable
    Enclosing class:
    SearchJobsRequest

    public static final class SearchJobsRequest.Builder
    extends com.google.protobuf.GeneratedMessageV3.Builder<SearchJobsRequest.Builder>
    implements SearchJobsRequestOrBuilder
     The Request body of the `SearchJobs` call.
     
    Protobuf type google.cloud.talent.v4beta1.SearchJobsRequest
    • Method Detail

      • getDescriptor

        public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()
      • internalGetFieldAccessorTable

        protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
        Specified by:
        internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3.Builder<SearchJobsRequest.Builder>
      • clear

        public SearchJobsRequest.Builder clear()
        Specified by:
        clear in interface com.google.protobuf.Message.Builder
        Specified by:
        clear in interface com.google.protobuf.MessageLite.Builder
        Overrides:
        clear in class com.google.protobuf.GeneratedMessageV3.Builder<SearchJobsRequest.Builder>
      • getDescriptorForType

        public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
        Specified by:
        getDescriptorForType in interface com.google.protobuf.Message.Builder
        Specified by:
        getDescriptorForType in interface com.google.protobuf.MessageOrBuilder
        Overrides:
        getDescriptorForType in class com.google.protobuf.GeneratedMessageV3.Builder<SearchJobsRequest.Builder>
      • getDefaultInstanceForType

        public SearchJobsRequest getDefaultInstanceForType()
        Specified by:
        getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder
        Specified by:
        getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder
      • build

        public SearchJobsRequest build()
        Specified by:
        build in interface com.google.protobuf.Message.Builder
        Specified by:
        build in interface com.google.protobuf.MessageLite.Builder
      • buildPartial

        public SearchJobsRequest buildPartial()
        Specified by:
        buildPartial in interface com.google.protobuf.Message.Builder
        Specified by:
        buildPartial in interface com.google.protobuf.MessageLite.Builder
      • clone

        public SearchJobsRequest.Builder clone()
        Specified by:
        clone in interface com.google.protobuf.Message.Builder
        Specified by:
        clone in interface com.google.protobuf.MessageLite.Builder
        Overrides:
        clone in class com.google.protobuf.GeneratedMessageV3.Builder<SearchJobsRequest.Builder>
      • setField

        public SearchJobsRequest.Builder setField​(com.google.protobuf.Descriptors.FieldDescriptor field,
                                                  Object value)
        Specified by:
        setField in interface com.google.protobuf.Message.Builder
        Overrides:
        setField in class com.google.protobuf.GeneratedMessageV3.Builder<SearchJobsRequest.Builder>
      • clearField

        public SearchJobsRequest.Builder clearField​(com.google.protobuf.Descriptors.FieldDescriptor field)
        Specified by:
        clearField in interface com.google.protobuf.Message.Builder
        Overrides:
        clearField in class com.google.protobuf.GeneratedMessageV3.Builder<SearchJobsRequest.Builder>
      • clearOneof

        public SearchJobsRequest.Builder clearOneof​(com.google.protobuf.Descriptors.OneofDescriptor oneof)
        Specified by:
        clearOneof in interface com.google.protobuf.Message.Builder
        Overrides:
        clearOneof in class com.google.protobuf.GeneratedMessageV3.Builder<SearchJobsRequest.Builder>
      • setRepeatedField

        public SearchJobsRequest.Builder setRepeatedField​(com.google.protobuf.Descriptors.FieldDescriptor field,
                                                          int index,
                                                          Object value)
        Specified by:
        setRepeatedField in interface com.google.protobuf.Message.Builder
        Overrides:
        setRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<SearchJobsRequest.Builder>
      • addRepeatedField

        public SearchJobsRequest.Builder addRepeatedField​(com.google.protobuf.Descriptors.FieldDescriptor field,
                                                          Object value)
        Specified by:
        addRepeatedField in interface com.google.protobuf.Message.Builder
        Overrides:
        addRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<SearchJobsRequest.Builder>
      • mergeFrom

        public SearchJobsRequest.Builder mergeFrom​(com.google.protobuf.Message other)
        Specified by:
        mergeFrom in interface com.google.protobuf.Message.Builder
        Overrides:
        mergeFrom in class com.google.protobuf.AbstractMessage.Builder<SearchJobsRequest.Builder>
      • isInitialized

        public final boolean isInitialized()
        Specified by:
        isInitialized in interface com.google.protobuf.MessageLiteOrBuilder
        Overrides:
        isInitialized in class com.google.protobuf.GeneratedMessageV3.Builder<SearchJobsRequest.Builder>
      • mergeFrom

        public SearchJobsRequest.Builder mergeFrom​(com.google.protobuf.CodedInputStream input,
                                                   com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                            throws IOException
        Specified by:
        mergeFrom in interface com.google.protobuf.Message.Builder
        Specified by:
        mergeFrom in interface com.google.protobuf.MessageLite.Builder
        Overrides:
        mergeFrom in class com.google.protobuf.AbstractMessage.Builder<SearchJobsRequest.Builder>
        Throws:
        IOException
      • getParent

        public String getParent()
         Required. The resource name of the tenant to search within.
        
         The format is "projects/{project_id}/tenants/{tenant_id}". For example,
         "projects/foo/tenant/bar". If tenant id is unspecified, a default tenant
         is created. For example, "projects/foo".
         
        string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
        Specified by:
        getParent in interface SearchJobsRequestOrBuilder
        Returns:
        The parent.
      • getParentBytes

        public com.google.protobuf.ByteString getParentBytes()
         Required. The resource name of the tenant to search within.
        
         The format is "projects/{project_id}/tenants/{tenant_id}". For example,
         "projects/foo/tenant/bar". If tenant id is unspecified, a default tenant
         is created. For example, "projects/foo".
         
        string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
        Specified by:
        getParentBytes in interface SearchJobsRequestOrBuilder
        Returns:
        The bytes for parent.
      • setParent

        public SearchJobsRequest.Builder setParent​(String value)
         Required. The resource name of the tenant to search within.
        
         The format is "projects/{project_id}/tenants/{tenant_id}". For example,
         "projects/foo/tenant/bar". If tenant id is unspecified, a default tenant
         is created. For example, "projects/foo".
         
        string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
        Parameters:
        value - The parent to set.
        Returns:
        This builder for chaining.
      • clearParent

        public SearchJobsRequest.Builder clearParent()
         Required. The resource name of the tenant to search within.
        
         The format is "projects/{project_id}/tenants/{tenant_id}". For example,
         "projects/foo/tenant/bar". If tenant id is unspecified, a default tenant
         is created. For example, "projects/foo".
         
        string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
        Returns:
        This builder for chaining.
      • setParentBytes

        public SearchJobsRequest.Builder setParentBytes​(com.google.protobuf.ByteString value)
         Required. The resource name of the tenant to search within.
        
         The format is "projects/{project_id}/tenants/{tenant_id}". For example,
         "projects/foo/tenant/bar". If tenant id is unspecified, a default tenant
         is created. For example, "projects/foo".
         
        string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
        Parameters:
        value - The bytes for parent to set.
        Returns:
        This builder for chaining.
      • getSearchModeValue

        public int getSearchModeValue()
         Mode of a search.
        
         Defaults to
         [SearchMode.JOB_SEARCH][google.cloud.talent.v4beta1.SearchJobsRequest.SearchMode.JOB_SEARCH].
         
        .google.cloud.talent.v4beta1.SearchJobsRequest.SearchMode search_mode = 2;
        Specified by:
        getSearchModeValue in interface SearchJobsRequestOrBuilder
        Returns:
        The enum numeric value on the wire for searchMode.
      • setSearchModeValue

        public SearchJobsRequest.Builder setSearchModeValue​(int value)
         Mode of a search.
        
         Defaults to
         [SearchMode.JOB_SEARCH][google.cloud.talent.v4beta1.SearchJobsRequest.SearchMode.JOB_SEARCH].
         
        .google.cloud.talent.v4beta1.SearchJobsRequest.SearchMode search_mode = 2;
        Parameters:
        value - The enum numeric value on the wire for searchMode to set.
        Returns:
        This builder for chaining.
      • getSearchMode

        public SearchJobsRequest.SearchMode getSearchMode()
         Mode of a search.
        
         Defaults to
         [SearchMode.JOB_SEARCH][google.cloud.talent.v4beta1.SearchJobsRequest.SearchMode.JOB_SEARCH].
         
        .google.cloud.talent.v4beta1.SearchJobsRequest.SearchMode search_mode = 2;
        Specified by:
        getSearchMode in interface SearchJobsRequestOrBuilder
        Returns:
        The searchMode.
      • setSearchMode

        public SearchJobsRequest.Builder setSearchMode​(SearchJobsRequest.SearchMode value)
         Mode of a search.
        
         Defaults to
         [SearchMode.JOB_SEARCH][google.cloud.talent.v4beta1.SearchJobsRequest.SearchMode.JOB_SEARCH].
         
        .google.cloud.talent.v4beta1.SearchJobsRequest.SearchMode search_mode = 2;
        Parameters:
        value - The searchMode to set.
        Returns:
        This builder for chaining.
      • clearSearchMode

        public SearchJobsRequest.Builder clearSearchMode()
         Mode of a search.
        
         Defaults to
         [SearchMode.JOB_SEARCH][google.cloud.talent.v4beta1.SearchJobsRequest.SearchMode.JOB_SEARCH].
         
        .google.cloud.talent.v4beta1.SearchJobsRequest.SearchMode search_mode = 2;
        Returns:
        This builder for chaining.
      • hasRequestMetadata

        public boolean hasRequestMetadata()
         Required. The meta information collected about the job searcher, used to
         improve the search quality of the service. The identifiers (such as
         `user_id`) are provided by users, and must be unique and consistent.
         
        .google.cloud.talent.v4beta1.RequestMetadata request_metadata = 3 [(.google.api.field_behavior) = REQUIRED];
        Specified by:
        hasRequestMetadata in interface SearchJobsRequestOrBuilder
        Returns:
        Whether the requestMetadata field is set.
      • getRequestMetadata

        public RequestMetadata getRequestMetadata()
         Required. The meta information collected about the job searcher, used to
         improve the search quality of the service. The identifiers (such as
         `user_id`) are provided by users, and must be unique and consistent.
         
        .google.cloud.talent.v4beta1.RequestMetadata request_metadata = 3 [(.google.api.field_behavior) = REQUIRED];
        Specified by:
        getRequestMetadata in interface SearchJobsRequestOrBuilder
        Returns:
        The requestMetadata.
      • setRequestMetadata

        public SearchJobsRequest.Builder setRequestMetadata​(RequestMetadata value)
         Required. The meta information collected about the job searcher, used to
         improve the search quality of the service. The identifiers (such as
         `user_id`) are provided by users, and must be unique and consistent.
         
        .google.cloud.talent.v4beta1.RequestMetadata request_metadata = 3 [(.google.api.field_behavior) = REQUIRED];
      • setRequestMetadata

        public SearchJobsRequest.Builder setRequestMetadata​(RequestMetadata.Builder builderForValue)
         Required. The meta information collected about the job searcher, used to
         improve the search quality of the service. The identifiers (such as
         `user_id`) are provided by users, and must be unique and consistent.
         
        .google.cloud.talent.v4beta1.RequestMetadata request_metadata = 3 [(.google.api.field_behavior) = REQUIRED];
      • mergeRequestMetadata

        public SearchJobsRequest.Builder mergeRequestMetadata​(RequestMetadata value)
         Required. The meta information collected about the job searcher, used to
         improve the search quality of the service. The identifiers (such as
         `user_id`) are provided by users, and must be unique and consistent.
         
        .google.cloud.talent.v4beta1.RequestMetadata request_metadata = 3 [(.google.api.field_behavior) = REQUIRED];
      • clearRequestMetadata

        public SearchJobsRequest.Builder clearRequestMetadata()
         Required. The meta information collected about the job searcher, used to
         improve the search quality of the service. The identifiers (such as
         `user_id`) are provided by users, and must be unique and consistent.
         
        .google.cloud.talent.v4beta1.RequestMetadata request_metadata = 3 [(.google.api.field_behavior) = REQUIRED];
      • getRequestMetadataBuilder

        public RequestMetadata.Builder getRequestMetadataBuilder()
         Required. The meta information collected about the job searcher, used to
         improve the search quality of the service. The identifiers (such as
         `user_id`) are provided by users, and must be unique and consistent.
         
        .google.cloud.talent.v4beta1.RequestMetadata request_metadata = 3 [(.google.api.field_behavior) = REQUIRED];
      • getRequestMetadataOrBuilder

        public RequestMetadataOrBuilder getRequestMetadataOrBuilder()
         Required. The meta information collected about the job searcher, used to
         improve the search quality of the service. The identifiers (such as
         `user_id`) are provided by users, and must be unique and consistent.
         
        .google.cloud.talent.v4beta1.RequestMetadata request_metadata = 3 [(.google.api.field_behavior) = REQUIRED];
        Specified by:
        getRequestMetadataOrBuilder in interface SearchJobsRequestOrBuilder
      • hasJobQuery

        public boolean hasJobQuery()
         Query used to search against jobs, such as keyword, location filters, etc.
         
        .google.cloud.talent.v4beta1.JobQuery job_query = 4;
        Specified by:
        hasJobQuery in interface SearchJobsRequestOrBuilder
        Returns:
        Whether the jobQuery field is set.
      • getJobQuery

        public JobQuery getJobQuery()
         Query used to search against jobs, such as keyword, location filters, etc.
         
        .google.cloud.talent.v4beta1.JobQuery job_query = 4;
        Specified by:
        getJobQuery in interface SearchJobsRequestOrBuilder
        Returns:
        The jobQuery.
      • setJobQuery

        public SearchJobsRequest.Builder setJobQuery​(JobQuery value)
         Query used to search against jobs, such as keyword, location filters, etc.
         
        .google.cloud.talent.v4beta1.JobQuery job_query = 4;
      • setJobQuery

        public SearchJobsRequest.Builder setJobQuery​(JobQuery.Builder builderForValue)
         Query used to search against jobs, such as keyword, location filters, etc.
         
        .google.cloud.talent.v4beta1.JobQuery job_query = 4;
      • mergeJobQuery

        public SearchJobsRequest.Builder mergeJobQuery​(JobQuery value)
         Query used to search against jobs, such as keyword, location filters, etc.
         
        .google.cloud.talent.v4beta1.JobQuery job_query = 4;
      • clearJobQuery

        public SearchJobsRequest.Builder clearJobQuery()
         Query used to search against jobs, such as keyword, location filters, etc.
         
        .google.cloud.talent.v4beta1.JobQuery job_query = 4;
      • getJobQueryBuilder

        public JobQuery.Builder getJobQueryBuilder()
         Query used to search against jobs, such as keyword, location filters, etc.
         
        .google.cloud.talent.v4beta1.JobQuery job_query = 4;
      • getEnableBroadening

        public boolean getEnableBroadening()
         Controls whether to broaden the search when it produces sparse results.
         Broadened queries append results to the end of the matching results
         list.
        
         Defaults to false.
         
        bool enable_broadening = 5;
        Specified by:
        getEnableBroadening in interface SearchJobsRequestOrBuilder
        Returns:
        The enableBroadening.
      • setEnableBroadening

        public SearchJobsRequest.Builder setEnableBroadening​(boolean value)
         Controls whether to broaden the search when it produces sparse results.
         Broadened queries append results to the end of the matching results
         list.
        
         Defaults to false.
         
        bool enable_broadening = 5;
        Parameters:
        value - The enableBroadening to set.
        Returns:
        This builder for chaining.
      • clearEnableBroadening

        public SearchJobsRequest.Builder clearEnableBroadening()
         Controls whether to broaden the search when it produces sparse results.
         Broadened queries append results to the end of the matching results
         list.
        
         Defaults to false.
         
        bool enable_broadening = 5;
        Returns:
        This builder for chaining.
      • getRequirePreciseResultSize

        @Deprecated
        public boolean getRequirePreciseResultSize()
        Deprecated.
        google.cloud.talent.v4beta1.SearchJobsRequest.require_precise_result_size is deprecated. See google/cloud/talent/v4beta1/job_service.proto;l=594
         This field is deprecated.
         
        bool require_precise_result_size = 6 [deprecated = true];
        Specified by:
        getRequirePreciseResultSize in interface SearchJobsRequestOrBuilder
        Returns:
        The requirePreciseResultSize.
      • setRequirePreciseResultSize

        @Deprecated
        public SearchJobsRequest.Builder setRequirePreciseResultSize​(boolean value)
        Deprecated.
        google.cloud.talent.v4beta1.SearchJobsRequest.require_precise_result_size is deprecated. See google/cloud/talent/v4beta1/job_service.proto;l=594
         This field is deprecated.
         
        bool require_precise_result_size = 6 [deprecated = true];
        Parameters:
        value - The requirePreciseResultSize to set.
        Returns:
        This builder for chaining.
      • clearRequirePreciseResultSize

        @Deprecated
        public SearchJobsRequest.Builder clearRequirePreciseResultSize()
        Deprecated.
        google.cloud.talent.v4beta1.SearchJobsRequest.require_precise_result_size is deprecated. See google/cloud/talent/v4beta1/job_service.proto;l=594
         This field is deprecated.
         
        bool require_precise_result_size = 6 [deprecated = true];
        Returns:
        This builder for chaining.
      • getHistogramQueriesList

        public List<HistogramQuery> getHistogramQueriesList()
         An expression specifies a histogram request against matching jobs.
        
         Expression syntax is an aggregation function call with histogram facets and
         other options.
        
         Available aggregation function calls are:
         * `count(string_histogram_facet)`: Count the number of matching entities,
         for each distinct attribute value.
         * `count(numeric_histogram_facet, list of buckets)`: Count the number of
         matching entities within each bucket.
        
         A maximum of 200 histogram buckets are supported.
        
         Data types:
        
         * Histogram facet: facet names with format `[a-zA-Z][a-zA-Z0-9_]+`.
         * String: string like "any string with backslash escape for quote(\")."
         * Number: whole number and floating point number like 10, -1 and -0.01.
         * List: list of elements with comma(,) separator surrounded by square
         brackets, for example, [1, 2, 3] and ["one", "two", "three"].
        
         Built-in constants:
        
         * MIN (minimum number similar to java Double.MIN_VALUE)
         * MAX (maximum number similar to java Double.MAX_VALUE)
        
         Built-in functions:
        
         * bucket(start, end[, label]): bucket built-in function creates a bucket
         with range of [start, end). Note that the end is exclusive, for example,
         bucket(1, MAX, "positive number") or bucket(1, 10).
        
         Job histogram facets:
        
         * company_display_name: histogram by
         [Job.company_display_name][google.cloud.talent.v4beta1.Job.company_display_name].
         * employment_type: histogram by
         [Job.employment_types][google.cloud.talent.v4beta1.Job.employment_types],
         for example,
           "FULL_TIME", "PART_TIME".
         * company_size (DEPRECATED): histogram by
         [CompanySize][google.cloud.talent.v4beta1.CompanySize], for example,
         "SMALL", "MEDIUM", "BIG".
         * publish_time_in_day: histogram by the
         [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
           in days.
           Must specify list of numeric buckets in spec.
         * publish_time_in_month: histogram by the
         [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
           in months.
           Must specify list of numeric buckets in spec.
         * publish_time_in_year: histogram by the
         [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
           in years.
           Must specify list of numeric buckets in spec.
         * degree_types: histogram by the
         [Job.degree_types][google.cloud.talent.v4beta1.Job.degree_types], for
         example,
           "Bachelors", "Masters".
         * job_level: histogram by the
         [Job.job_level][google.cloud.talent.v4beta1.Job.job_level], for example,
         "Entry
           Level".
         * country: histogram by the country code of jobs, for example, "US", "FR".
         * admin1: histogram by the admin1 code of jobs, which is a global
           placeholder referring to the state, province, or the particular term a
           country uses to define the geographic structure below the country level,
           for example, "CA", "IL".
         * city: histogram by a combination of the "city name, admin1 code". For
           example,  "Mountain View, CA", "New York, NY".
         * admin1_country: histogram by a combination of the "admin1 code, country",
           for example, "CA, US", "IL, US".
         * city_coordinate: histogram by the city center's GPS coordinates (latitude
           and longitude), for example, 37.4038522,-122.0987765. Since the
           coordinates of a city center can change, customers may need to refresh
           them periodically.
         * locale: histogram by the
         [Job.language_code][google.cloud.talent.v4beta1.Job.language_code], for
         example, "en-US",
           "fr-FR".
         * language: histogram by the language subtag of the
         [Job.language_code][google.cloud.talent.v4beta1.Job.language_code],
           for example, "en", "fr".
         * category: histogram by the
         [JobCategory][google.cloud.talent.v4beta1.JobCategory], for example,
           "COMPUTER_AND_IT", "HEALTHCARE".
         * base_compensation_unit: histogram by the
           [CompensationInfo.CompensationUnit][google.cloud.talent.v4beta1.CompensationInfo.CompensationUnit]
           of base salary, for example, "WEEKLY", "MONTHLY".
         * base_compensation: histogram by the base salary. Must specify list of
           numeric buckets to group results by.
         * annualized_base_compensation: histogram by the base annualized salary.
           Must specify list of numeric buckets to group results by.
         * annualized_total_compensation: histogram by the total annualized salary.
           Must specify list of numeric buckets to group results by.
         * string_custom_attribute: histogram by string
         [Job.custom_attributes][google.cloud.talent.v4beta1.Job.custom_attributes].
           Values can be accessed via square bracket notations like
           string_custom_attribute["key1"].
         * numeric_custom_attribute: histogram by numeric
         [Job.custom_attributes][google.cloud.talent.v4beta1.Job.custom_attributes].
           Values can be accessed via square bracket notations like
           numeric_custom_attribute["key1"]. Must specify list of numeric buckets to
           group results by.
        
         Example expressions:
        
         * `count(admin1)`
         * `count(base_compensation, [bucket(1000, 10000), bucket(10000, 100000),
         bucket(100000, MAX)])`
         * `count(string_custom_attribute["some-string-custom-attribute"])`
         * `count(numeric_custom_attribute["some-numeric-custom-attribute"],
           [bucket(MIN, 0, "negative"), bucket(0, MAX, "non-negative")])`
         
        repeated .google.cloud.talent.v4beta1.HistogramQuery histogram_queries = 7;
        Specified by:
        getHistogramQueriesList in interface SearchJobsRequestOrBuilder
      • getHistogramQueriesCount

        public int getHistogramQueriesCount()
         An expression specifies a histogram request against matching jobs.
        
         Expression syntax is an aggregation function call with histogram facets and
         other options.
        
         Available aggregation function calls are:
         * `count(string_histogram_facet)`: Count the number of matching entities,
         for each distinct attribute value.
         * `count(numeric_histogram_facet, list of buckets)`: Count the number of
         matching entities within each bucket.
        
         A maximum of 200 histogram buckets are supported.
        
         Data types:
        
         * Histogram facet: facet names with format `[a-zA-Z][a-zA-Z0-9_]+`.
         * String: string like "any string with backslash escape for quote(\")."
         * Number: whole number and floating point number like 10, -1 and -0.01.
         * List: list of elements with comma(,) separator surrounded by square
         brackets, for example, [1, 2, 3] and ["one", "two", "three"].
        
         Built-in constants:
        
         * MIN (minimum number similar to java Double.MIN_VALUE)
         * MAX (maximum number similar to java Double.MAX_VALUE)
        
         Built-in functions:
        
         * bucket(start, end[, label]): bucket built-in function creates a bucket
         with range of [start, end). Note that the end is exclusive, for example,
         bucket(1, MAX, "positive number") or bucket(1, 10).
        
         Job histogram facets:
        
         * company_display_name: histogram by
         [Job.company_display_name][google.cloud.talent.v4beta1.Job.company_display_name].
         * employment_type: histogram by
         [Job.employment_types][google.cloud.talent.v4beta1.Job.employment_types],
         for example,
           "FULL_TIME", "PART_TIME".
         * company_size (DEPRECATED): histogram by
         [CompanySize][google.cloud.talent.v4beta1.CompanySize], for example,
         "SMALL", "MEDIUM", "BIG".
         * publish_time_in_day: histogram by the
         [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
           in days.
           Must specify list of numeric buckets in spec.
         * publish_time_in_month: histogram by the
         [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
           in months.
           Must specify list of numeric buckets in spec.
         * publish_time_in_year: histogram by the
         [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
           in years.
           Must specify list of numeric buckets in spec.
         * degree_types: histogram by the
         [Job.degree_types][google.cloud.talent.v4beta1.Job.degree_types], for
         example,
           "Bachelors", "Masters".
         * job_level: histogram by the
         [Job.job_level][google.cloud.talent.v4beta1.Job.job_level], for example,
         "Entry
           Level".
         * country: histogram by the country code of jobs, for example, "US", "FR".
         * admin1: histogram by the admin1 code of jobs, which is a global
           placeholder referring to the state, province, or the particular term a
           country uses to define the geographic structure below the country level,
           for example, "CA", "IL".
         * city: histogram by a combination of the "city name, admin1 code". For
           example,  "Mountain View, CA", "New York, NY".
         * admin1_country: histogram by a combination of the "admin1 code, country",
           for example, "CA, US", "IL, US".
         * city_coordinate: histogram by the city center's GPS coordinates (latitude
           and longitude), for example, 37.4038522,-122.0987765. Since the
           coordinates of a city center can change, customers may need to refresh
           them periodically.
         * locale: histogram by the
         [Job.language_code][google.cloud.talent.v4beta1.Job.language_code], for
         example, "en-US",
           "fr-FR".
         * language: histogram by the language subtag of the
         [Job.language_code][google.cloud.talent.v4beta1.Job.language_code],
           for example, "en", "fr".
         * category: histogram by the
         [JobCategory][google.cloud.talent.v4beta1.JobCategory], for example,
           "COMPUTER_AND_IT", "HEALTHCARE".
         * base_compensation_unit: histogram by the
           [CompensationInfo.CompensationUnit][google.cloud.talent.v4beta1.CompensationInfo.CompensationUnit]
           of base salary, for example, "WEEKLY", "MONTHLY".
         * base_compensation: histogram by the base salary. Must specify list of
           numeric buckets to group results by.
         * annualized_base_compensation: histogram by the base annualized salary.
           Must specify list of numeric buckets to group results by.
         * annualized_total_compensation: histogram by the total annualized salary.
           Must specify list of numeric buckets to group results by.
         * string_custom_attribute: histogram by string
         [Job.custom_attributes][google.cloud.talent.v4beta1.Job.custom_attributes].
           Values can be accessed via square bracket notations like
           string_custom_attribute["key1"].
         * numeric_custom_attribute: histogram by numeric
         [Job.custom_attributes][google.cloud.talent.v4beta1.Job.custom_attributes].
           Values can be accessed via square bracket notations like
           numeric_custom_attribute["key1"]. Must specify list of numeric buckets to
           group results by.
        
         Example expressions:
        
         * `count(admin1)`
         * `count(base_compensation, [bucket(1000, 10000), bucket(10000, 100000),
         bucket(100000, MAX)])`
         * `count(string_custom_attribute["some-string-custom-attribute"])`
         * `count(numeric_custom_attribute["some-numeric-custom-attribute"],
           [bucket(MIN, 0, "negative"), bucket(0, MAX, "non-negative")])`
         
        repeated .google.cloud.talent.v4beta1.HistogramQuery histogram_queries = 7;
        Specified by:
        getHistogramQueriesCount in interface SearchJobsRequestOrBuilder
      • getHistogramQueries

        public HistogramQuery getHistogramQueries​(int index)
         An expression specifies a histogram request against matching jobs.
        
         Expression syntax is an aggregation function call with histogram facets and
         other options.
        
         Available aggregation function calls are:
         * `count(string_histogram_facet)`: Count the number of matching entities,
         for each distinct attribute value.
         * `count(numeric_histogram_facet, list of buckets)`: Count the number of
         matching entities within each bucket.
        
         A maximum of 200 histogram buckets are supported.
        
         Data types:
        
         * Histogram facet: facet names with format `[a-zA-Z][a-zA-Z0-9_]+`.
         * String: string like "any string with backslash escape for quote(\")."
         * Number: whole number and floating point number like 10, -1 and -0.01.
         * List: list of elements with comma(,) separator surrounded by square
         brackets, for example, [1, 2, 3] and ["one", "two", "three"].
        
         Built-in constants:
        
         * MIN (minimum number similar to java Double.MIN_VALUE)
         * MAX (maximum number similar to java Double.MAX_VALUE)
        
         Built-in functions:
        
         * bucket(start, end[, label]): bucket built-in function creates a bucket
         with range of [start, end). Note that the end is exclusive, for example,
         bucket(1, MAX, "positive number") or bucket(1, 10).
        
         Job histogram facets:
        
         * company_display_name: histogram by
         [Job.company_display_name][google.cloud.talent.v4beta1.Job.company_display_name].
         * employment_type: histogram by
         [Job.employment_types][google.cloud.talent.v4beta1.Job.employment_types],
         for example,
           "FULL_TIME", "PART_TIME".
         * company_size (DEPRECATED): histogram by
         [CompanySize][google.cloud.talent.v4beta1.CompanySize], for example,
         "SMALL", "MEDIUM", "BIG".
         * publish_time_in_day: histogram by the
         [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
           in days.
           Must specify list of numeric buckets in spec.
         * publish_time_in_month: histogram by the
         [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
           in months.
           Must specify list of numeric buckets in spec.
         * publish_time_in_year: histogram by the
         [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
           in years.
           Must specify list of numeric buckets in spec.
         * degree_types: histogram by the
         [Job.degree_types][google.cloud.talent.v4beta1.Job.degree_types], for
         example,
           "Bachelors", "Masters".
         * job_level: histogram by the
         [Job.job_level][google.cloud.talent.v4beta1.Job.job_level], for example,
         "Entry
           Level".
         * country: histogram by the country code of jobs, for example, "US", "FR".
         * admin1: histogram by the admin1 code of jobs, which is a global
           placeholder referring to the state, province, or the particular term a
           country uses to define the geographic structure below the country level,
           for example, "CA", "IL".
         * city: histogram by a combination of the "city name, admin1 code". For
           example,  "Mountain View, CA", "New York, NY".
         * admin1_country: histogram by a combination of the "admin1 code, country",
           for example, "CA, US", "IL, US".
         * city_coordinate: histogram by the city center's GPS coordinates (latitude
           and longitude), for example, 37.4038522,-122.0987765. Since the
           coordinates of a city center can change, customers may need to refresh
           them periodically.
         * locale: histogram by the
         [Job.language_code][google.cloud.talent.v4beta1.Job.language_code], for
         example, "en-US",
           "fr-FR".
         * language: histogram by the language subtag of the
         [Job.language_code][google.cloud.talent.v4beta1.Job.language_code],
           for example, "en", "fr".
         * category: histogram by the
         [JobCategory][google.cloud.talent.v4beta1.JobCategory], for example,
           "COMPUTER_AND_IT", "HEALTHCARE".
         * base_compensation_unit: histogram by the
           [CompensationInfo.CompensationUnit][google.cloud.talent.v4beta1.CompensationInfo.CompensationUnit]
           of base salary, for example, "WEEKLY", "MONTHLY".
         * base_compensation: histogram by the base salary. Must specify list of
           numeric buckets to group results by.
         * annualized_base_compensation: histogram by the base annualized salary.
           Must specify list of numeric buckets to group results by.
         * annualized_total_compensation: histogram by the total annualized salary.
           Must specify list of numeric buckets to group results by.
         * string_custom_attribute: histogram by string
         [Job.custom_attributes][google.cloud.talent.v4beta1.Job.custom_attributes].
           Values can be accessed via square bracket notations like
           string_custom_attribute["key1"].
         * numeric_custom_attribute: histogram by numeric
         [Job.custom_attributes][google.cloud.talent.v4beta1.Job.custom_attributes].
           Values can be accessed via square bracket notations like
           numeric_custom_attribute["key1"]. Must specify list of numeric buckets to
           group results by.
        
         Example expressions:
        
         * `count(admin1)`
         * `count(base_compensation, [bucket(1000, 10000), bucket(10000, 100000),
         bucket(100000, MAX)])`
         * `count(string_custom_attribute["some-string-custom-attribute"])`
         * `count(numeric_custom_attribute["some-numeric-custom-attribute"],
           [bucket(MIN, 0, "negative"), bucket(0, MAX, "non-negative")])`
         
        repeated .google.cloud.talent.v4beta1.HistogramQuery histogram_queries = 7;
        Specified by:
        getHistogramQueries in interface SearchJobsRequestOrBuilder
      • setHistogramQueries

        public SearchJobsRequest.Builder setHistogramQueries​(int index,
                                                             HistogramQuery value)
         An expression specifies a histogram request against matching jobs.
        
         Expression syntax is an aggregation function call with histogram facets and
         other options.
        
         Available aggregation function calls are:
         * `count(string_histogram_facet)`: Count the number of matching entities,
         for each distinct attribute value.
         * `count(numeric_histogram_facet, list of buckets)`: Count the number of
         matching entities within each bucket.
        
         A maximum of 200 histogram buckets are supported.
        
         Data types:
        
         * Histogram facet: facet names with format `[a-zA-Z][a-zA-Z0-9_]+`.
         * String: string like "any string with backslash escape for quote(\")."
         * Number: whole number and floating point number like 10, -1 and -0.01.
         * List: list of elements with comma(,) separator surrounded by square
         brackets, for example, [1, 2, 3] and ["one", "two", "three"].
        
         Built-in constants:
        
         * MIN (minimum number similar to java Double.MIN_VALUE)
         * MAX (maximum number similar to java Double.MAX_VALUE)
        
         Built-in functions:
        
         * bucket(start, end[, label]): bucket built-in function creates a bucket
         with range of [start, end). Note that the end is exclusive, for example,
         bucket(1, MAX, "positive number") or bucket(1, 10).
        
         Job histogram facets:
        
         * company_display_name: histogram by
         [Job.company_display_name][google.cloud.talent.v4beta1.Job.company_display_name].
         * employment_type: histogram by
         [Job.employment_types][google.cloud.talent.v4beta1.Job.employment_types],
         for example,
           "FULL_TIME", "PART_TIME".
         * company_size (DEPRECATED): histogram by
         [CompanySize][google.cloud.talent.v4beta1.CompanySize], for example,
         "SMALL", "MEDIUM", "BIG".
         * publish_time_in_day: histogram by the
         [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
           in days.
           Must specify list of numeric buckets in spec.
         * publish_time_in_month: histogram by the
         [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
           in months.
           Must specify list of numeric buckets in spec.
         * publish_time_in_year: histogram by the
         [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
           in years.
           Must specify list of numeric buckets in spec.
         * degree_types: histogram by the
         [Job.degree_types][google.cloud.talent.v4beta1.Job.degree_types], for
         example,
           "Bachelors", "Masters".
         * job_level: histogram by the
         [Job.job_level][google.cloud.talent.v4beta1.Job.job_level], for example,
         "Entry
           Level".
         * country: histogram by the country code of jobs, for example, "US", "FR".
         * admin1: histogram by the admin1 code of jobs, which is a global
           placeholder referring to the state, province, or the particular term a
           country uses to define the geographic structure below the country level,
           for example, "CA", "IL".
         * city: histogram by a combination of the "city name, admin1 code". For
           example,  "Mountain View, CA", "New York, NY".
         * admin1_country: histogram by a combination of the "admin1 code, country",
           for example, "CA, US", "IL, US".
         * city_coordinate: histogram by the city center's GPS coordinates (latitude
           and longitude), for example, 37.4038522,-122.0987765. Since the
           coordinates of a city center can change, customers may need to refresh
           them periodically.
         * locale: histogram by the
         [Job.language_code][google.cloud.talent.v4beta1.Job.language_code], for
         example, "en-US",
           "fr-FR".
         * language: histogram by the language subtag of the
         [Job.language_code][google.cloud.talent.v4beta1.Job.language_code],
           for example, "en", "fr".
         * category: histogram by the
         [JobCategory][google.cloud.talent.v4beta1.JobCategory], for example,
           "COMPUTER_AND_IT", "HEALTHCARE".
         * base_compensation_unit: histogram by the
           [CompensationInfo.CompensationUnit][google.cloud.talent.v4beta1.CompensationInfo.CompensationUnit]
           of base salary, for example, "WEEKLY", "MONTHLY".
         * base_compensation: histogram by the base salary. Must specify list of
           numeric buckets to group results by.
         * annualized_base_compensation: histogram by the base annualized salary.
           Must specify list of numeric buckets to group results by.
         * annualized_total_compensation: histogram by the total annualized salary.
           Must specify list of numeric buckets to group results by.
         * string_custom_attribute: histogram by string
         [Job.custom_attributes][google.cloud.talent.v4beta1.Job.custom_attributes].
           Values can be accessed via square bracket notations like
           string_custom_attribute["key1"].
         * numeric_custom_attribute: histogram by numeric
         [Job.custom_attributes][google.cloud.talent.v4beta1.Job.custom_attributes].
           Values can be accessed via square bracket notations like
           numeric_custom_attribute["key1"]. Must specify list of numeric buckets to
           group results by.
        
         Example expressions:
        
         * `count(admin1)`
         * `count(base_compensation, [bucket(1000, 10000), bucket(10000, 100000),
         bucket(100000, MAX)])`
         * `count(string_custom_attribute["some-string-custom-attribute"])`
         * `count(numeric_custom_attribute["some-numeric-custom-attribute"],
           [bucket(MIN, 0, "negative"), bucket(0, MAX, "non-negative")])`
         
        repeated .google.cloud.talent.v4beta1.HistogramQuery histogram_queries = 7;
      • setHistogramQueries

        public SearchJobsRequest.Builder setHistogramQueries​(int index,
                                                             HistogramQuery.Builder builderForValue)
         An expression specifies a histogram request against matching jobs.
        
         Expression syntax is an aggregation function call with histogram facets and
         other options.
        
         Available aggregation function calls are:
         * `count(string_histogram_facet)`: Count the number of matching entities,
         for each distinct attribute value.
         * `count(numeric_histogram_facet, list of buckets)`: Count the number of
         matching entities within each bucket.
        
         A maximum of 200 histogram buckets are supported.
        
         Data types:
        
         * Histogram facet: facet names with format `[a-zA-Z][a-zA-Z0-9_]+`.
         * String: string like "any string with backslash escape for quote(\")."
         * Number: whole number and floating point number like 10, -1 and -0.01.
         * List: list of elements with comma(,) separator surrounded by square
         brackets, for example, [1, 2, 3] and ["one", "two", "three"].
        
         Built-in constants:
        
         * MIN (minimum number similar to java Double.MIN_VALUE)
         * MAX (maximum number similar to java Double.MAX_VALUE)
        
         Built-in functions:
        
         * bucket(start, end[, label]): bucket built-in function creates a bucket
         with range of [start, end). Note that the end is exclusive, for example,
         bucket(1, MAX, "positive number") or bucket(1, 10).
        
         Job histogram facets:
        
         * company_display_name: histogram by
         [Job.company_display_name][google.cloud.talent.v4beta1.Job.company_display_name].
         * employment_type: histogram by
         [Job.employment_types][google.cloud.talent.v4beta1.Job.employment_types],
         for example,
           "FULL_TIME", "PART_TIME".
         * company_size (DEPRECATED): histogram by
         [CompanySize][google.cloud.talent.v4beta1.CompanySize], for example,
         "SMALL", "MEDIUM", "BIG".
         * publish_time_in_day: histogram by the
         [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
           in days.
           Must specify list of numeric buckets in spec.
         * publish_time_in_month: histogram by the
         [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
           in months.
           Must specify list of numeric buckets in spec.
         * publish_time_in_year: histogram by the
         [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
           in years.
           Must specify list of numeric buckets in spec.
         * degree_types: histogram by the
         [Job.degree_types][google.cloud.talent.v4beta1.Job.degree_types], for
         example,
           "Bachelors", "Masters".
         * job_level: histogram by the
         [Job.job_level][google.cloud.talent.v4beta1.Job.job_level], for example,
         "Entry
           Level".
         * country: histogram by the country code of jobs, for example, "US", "FR".
         * admin1: histogram by the admin1 code of jobs, which is a global
           placeholder referring to the state, province, or the particular term a
           country uses to define the geographic structure below the country level,
           for example, "CA", "IL".
         * city: histogram by a combination of the "city name, admin1 code". For
           example,  "Mountain View, CA", "New York, NY".
         * admin1_country: histogram by a combination of the "admin1 code, country",
           for example, "CA, US", "IL, US".
         * city_coordinate: histogram by the city center's GPS coordinates (latitude
           and longitude), for example, 37.4038522,-122.0987765. Since the
           coordinates of a city center can change, customers may need to refresh
           them periodically.
         * locale: histogram by the
         [Job.language_code][google.cloud.talent.v4beta1.Job.language_code], for
         example, "en-US",
           "fr-FR".
         * language: histogram by the language subtag of the
         [Job.language_code][google.cloud.talent.v4beta1.Job.language_code],
           for example, "en", "fr".
         * category: histogram by the
         [JobCategory][google.cloud.talent.v4beta1.JobCategory], for example,
           "COMPUTER_AND_IT", "HEALTHCARE".
         * base_compensation_unit: histogram by the
           [CompensationInfo.CompensationUnit][google.cloud.talent.v4beta1.CompensationInfo.CompensationUnit]
           of base salary, for example, "WEEKLY", "MONTHLY".
         * base_compensation: histogram by the base salary. Must specify list of
           numeric buckets to group results by.
         * annualized_base_compensation: histogram by the base annualized salary.
           Must specify list of numeric buckets to group results by.
         * annualized_total_compensation: histogram by the total annualized salary.
           Must specify list of numeric buckets to group results by.
         * string_custom_attribute: histogram by string
         [Job.custom_attributes][google.cloud.talent.v4beta1.Job.custom_attributes].
           Values can be accessed via square bracket notations like
           string_custom_attribute["key1"].
         * numeric_custom_attribute: histogram by numeric
         [Job.custom_attributes][google.cloud.talent.v4beta1.Job.custom_attributes].
           Values can be accessed via square bracket notations like
           numeric_custom_attribute["key1"]. Must specify list of numeric buckets to
           group results by.
        
         Example expressions:
        
         * `count(admin1)`
         * `count(base_compensation, [bucket(1000, 10000), bucket(10000, 100000),
         bucket(100000, MAX)])`
         * `count(string_custom_attribute["some-string-custom-attribute"])`
         * `count(numeric_custom_attribute["some-numeric-custom-attribute"],
           [bucket(MIN, 0, "negative"), bucket(0, MAX, "non-negative")])`
         
        repeated .google.cloud.talent.v4beta1.HistogramQuery histogram_queries = 7;
      • addHistogramQueries

        public SearchJobsRequest.Builder addHistogramQueries​(HistogramQuery value)
         An expression specifies a histogram request against matching jobs.
        
         Expression syntax is an aggregation function call with histogram facets and
         other options.
        
         Available aggregation function calls are:
         * `count(string_histogram_facet)`: Count the number of matching entities,
         for each distinct attribute value.
         * `count(numeric_histogram_facet, list of buckets)`: Count the number of
         matching entities within each bucket.
        
         A maximum of 200 histogram buckets are supported.
        
         Data types:
        
         * Histogram facet: facet names with format `[a-zA-Z][a-zA-Z0-9_]+`.
         * String: string like "any string with backslash escape for quote(\")."
         * Number: whole number and floating point number like 10, -1 and -0.01.
         * List: list of elements with comma(,) separator surrounded by square
         brackets, for example, [1, 2, 3] and ["one", "two", "three"].
        
         Built-in constants:
        
         * MIN (minimum number similar to java Double.MIN_VALUE)
         * MAX (maximum number similar to java Double.MAX_VALUE)
        
         Built-in functions:
        
         * bucket(start, end[, label]): bucket built-in function creates a bucket
         with range of [start, end). Note that the end is exclusive, for example,
         bucket(1, MAX, "positive number") or bucket(1, 10).
        
         Job histogram facets:
        
         * company_display_name: histogram by
         [Job.company_display_name][google.cloud.talent.v4beta1.Job.company_display_name].
         * employment_type: histogram by
         [Job.employment_types][google.cloud.talent.v4beta1.Job.employment_types],
         for example,
           "FULL_TIME", "PART_TIME".
         * company_size (DEPRECATED): histogram by
         [CompanySize][google.cloud.talent.v4beta1.CompanySize], for example,
         "SMALL", "MEDIUM", "BIG".
         * publish_time_in_day: histogram by the
         [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
           in days.
           Must specify list of numeric buckets in spec.
         * publish_time_in_month: histogram by the
         [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
           in months.
           Must specify list of numeric buckets in spec.
         * publish_time_in_year: histogram by the
         [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
           in years.
           Must specify list of numeric buckets in spec.
         * degree_types: histogram by the
         [Job.degree_types][google.cloud.talent.v4beta1.Job.degree_types], for
         example,
           "Bachelors", "Masters".
         * job_level: histogram by the
         [Job.job_level][google.cloud.talent.v4beta1.Job.job_level], for example,
         "Entry
           Level".
         * country: histogram by the country code of jobs, for example, "US", "FR".
         * admin1: histogram by the admin1 code of jobs, which is a global
           placeholder referring to the state, province, or the particular term a
           country uses to define the geographic structure below the country level,
           for example, "CA", "IL".
         * city: histogram by a combination of the "city name, admin1 code". For
           example,  "Mountain View, CA", "New York, NY".
         * admin1_country: histogram by a combination of the "admin1 code, country",
           for example, "CA, US", "IL, US".
         * city_coordinate: histogram by the city center's GPS coordinates (latitude
           and longitude), for example, 37.4038522,-122.0987765. Since the
           coordinates of a city center can change, customers may need to refresh
           them periodically.
         * locale: histogram by the
         [Job.language_code][google.cloud.talent.v4beta1.Job.language_code], for
         example, "en-US",
           "fr-FR".
         * language: histogram by the language subtag of the
         [Job.language_code][google.cloud.talent.v4beta1.Job.language_code],
           for example, "en", "fr".
         * category: histogram by the
         [JobCategory][google.cloud.talent.v4beta1.JobCategory], for example,
           "COMPUTER_AND_IT", "HEALTHCARE".
         * base_compensation_unit: histogram by the
           [CompensationInfo.CompensationUnit][google.cloud.talent.v4beta1.CompensationInfo.CompensationUnit]
           of base salary, for example, "WEEKLY", "MONTHLY".
         * base_compensation: histogram by the base salary. Must specify list of
           numeric buckets to group results by.
         * annualized_base_compensation: histogram by the base annualized salary.
           Must specify list of numeric buckets to group results by.
         * annualized_total_compensation: histogram by the total annualized salary.
           Must specify list of numeric buckets to group results by.
         * string_custom_attribute: histogram by string
         [Job.custom_attributes][google.cloud.talent.v4beta1.Job.custom_attributes].
           Values can be accessed via square bracket notations like
           string_custom_attribute["key1"].
         * numeric_custom_attribute: histogram by numeric
         [Job.custom_attributes][google.cloud.talent.v4beta1.Job.custom_attributes].
           Values can be accessed via square bracket notations like
           numeric_custom_attribute["key1"]. Must specify list of numeric buckets to
           group results by.
        
         Example expressions:
        
         * `count(admin1)`
         * `count(base_compensation, [bucket(1000, 10000), bucket(10000, 100000),
         bucket(100000, MAX)])`
         * `count(string_custom_attribute["some-string-custom-attribute"])`
         * `count(numeric_custom_attribute["some-numeric-custom-attribute"],
           [bucket(MIN, 0, "negative"), bucket(0, MAX, "non-negative")])`
         
        repeated .google.cloud.talent.v4beta1.HistogramQuery histogram_queries = 7;
      • addHistogramQueries

        public SearchJobsRequest.Builder addHistogramQueries​(int index,
                                                             HistogramQuery value)
         An expression specifies a histogram request against matching jobs.
        
         Expression syntax is an aggregation function call with histogram facets and
         other options.
        
         Available aggregation function calls are:
         * `count(string_histogram_facet)`: Count the number of matching entities,
         for each distinct attribute value.
         * `count(numeric_histogram_facet, list of buckets)`: Count the number of
         matching entities within each bucket.
        
         A maximum of 200 histogram buckets are supported.
        
         Data types:
        
         * Histogram facet: facet names with format `[a-zA-Z][a-zA-Z0-9_]+`.
         * String: string like "any string with backslash escape for quote(\")."
         * Number: whole number and floating point number like 10, -1 and -0.01.
         * List: list of elements with comma(,) separator surrounded by square
         brackets, for example, [1, 2, 3] and ["one", "two", "three"].
        
         Built-in constants:
        
         * MIN (minimum number similar to java Double.MIN_VALUE)
         * MAX (maximum number similar to java Double.MAX_VALUE)
        
         Built-in functions:
        
         * bucket(start, end[, label]): bucket built-in function creates a bucket
         with range of [start, end). Note that the end is exclusive, for example,
         bucket(1, MAX, "positive number") or bucket(1, 10).
        
         Job histogram facets:
        
         * company_display_name: histogram by
         [Job.company_display_name][google.cloud.talent.v4beta1.Job.company_display_name].
         * employment_type: histogram by
         [Job.employment_types][google.cloud.talent.v4beta1.Job.employment_types],
         for example,
           "FULL_TIME", "PART_TIME".
         * company_size (DEPRECATED): histogram by
         [CompanySize][google.cloud.talent.v4beta1.CompanySize], for example,
         "SMALL", "MEDIUM", "BIG".
         * publish_time_in_day: histogram by the
         [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
           in days.
           Must specify list of numeric buckets in spec.
         * publish_time_in_month: histogram by the
         [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
           in months.
           Must specify list of numeric buckets in spec.
         * publish_time_in_year: histogram by the
         [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
           in years.
           Must specify list of numeric buckets in spec.
         * degree_types: histogram by the
         [Job.degree_types][google.cloud.talent.v4beta1.Job.degree_types], for
         example,
           "Bachelors", "Masters".
         * job_level: histogram by the
         [Job.job_level][google.cloud.talent.v4beta1.Job.job_level], for example,
         "Entry
           Level".
         * country: histogram by the country code of jobs, for example, "US", "FR".
         * admin1: histogram by the admin1 code of jobs, which is a global
           placeholder referring to the state, province, or the particular term a
           country uses to define the geographic structure below the country level,
           for example, "CA", "IL".
         * city: histogram by a combination of the "city name, admin1 code". For
           example,  "Mountain View, CA", "New York, NY".
         * admin1_country: histogram by a combination of the "admin1 code, country",
           for example, "CA, US", "IL, US".
         * city_coordinate: histogram by the city center's GPS coordinates (latitude
           and longitude), for example, 37.4038522,-122.0987765. Since the
           coordinates of a city center can change, customers may need to refresh
           them periodically.
         * locale: histogram by the
         [Job.language_code][google.cloud.talent.v4beta1.Job.language_code], for
         example, "en-US",
           "fr-FR".
         * language: histogram by the language subtag of the
         [Job.language_code][google.cloud.talent.v4beta1.Job.language_code],
           for example, "en", "fr".
         * category: histogram by the
         [JobCategory][google.cloud.talent.v4beta1.JobCategory], for example,
           "COMPUTER_AND_IT", "HEALTHCARE".
         * base_compensation_unit: histogram by the
           [CompensationInfo.CompensationUnit][google.cloud.talent.v4beta1.CompensationInfo.CompensationUnit]
           of base salary, for example, "WEEKLY", "MONTHLY".
         * base_compensation: histogram by the base salary. Must specify list of
           numeric buckets to group results by.
         * annualized_base_compensation: histogram by the base annualized salary.
           Must specify list of numeric buckets to group results by.
         * annualized_total_compensation: histogram by the total annualized salary.
           Must specify list of numeric buckets to group results by.
         * string_custom_attribute: histogram by string
         [Job.custom_attributes][google.cloud.talent.v4beta1.Job.custom_attributes].
           Values can be accessed via square bracket notations like
           string_custom_attribute["key1"].
         * numeric_custom_attribute: histogram by numeric
         [Job.custom_attributes][google.cloud.talent.v4beta1.Job.custom_attributes].
           Values can be accessed via square bracket notations like
           numeric_custom_attribute["key1"]. Must specify list of numeric buckets to
           group results by.
        
         Example expressions:
        
         * `count(admin1)`
         * `count(base_compensation, [bucket(1000, 10000), bucket(10000, 100000),
         bucket(100000, MAX)])`
         * `count(string_custom_attribute["some-string-custom-attribute"])`
         * `count(numeric_custom_attribute["some-numeric-custom-attribute"],
           [bucket(MIN, 0, "negative"), bucket(0, MAX, "non-negative")])`
         
        repeated .google.cloud.talent.v4beta1.HistogramQuery histogram_queries = 7;
      • addHistogramQueries

        public SearchJobsRequest.Builder addHistogramQueries​(HistogramQuery.Builder builderForValue)
         An expression specifies a histogram request against matching jobs.
        
         Expression syntax is an aggregation function call with histogram facets and
         other options.
        
         Available aggregation function calls are:
         * `count(string_histogram_facet)`: Count the number of matching entities,
         for each distinct attribute value.
         * `count(numeric_histogram_facet, list of buckets)`: Count the number of
         matching entities within each bucket.
        
         A maximum of 200 histogram buckets are supported.
        
         Data types:
        
         * Histogram facet: facet names with format `[a-zA-Z][a-zA-Z0-9_]+`.
         * String: string like "any string with backslash escape for quote(\")."
         * Number: whole number and floating point number like 10, -1 and -0.01.
         * List: list of elements with comma(,) separator surrounded by square
         brackets, for example, [1, 2, 3] and ["one", "two", "three"].
        
         Built-in constants:
        
         * MIN (minimum number similar to java Double.MIN_VALUE)
         * MAX (maximum number similar to java Double.MAX_VALUE)
        
         Built-in functions:
        
         * bucket(start, end[, label]): bucket built-in function creates a bucket
         with range of [start, end). Note that the end is exclusive, for example,
         bucket(1, MAX, "positive number") or bucket(1, 10).
        
         Job histogram facets:
        
         * company_display_name: histogram by
         [Job.company_display_name][google.cloud.talent.v4beta1.Job.company_display_name].
         * employment_type: histogram by
         [Job.employment_types][google.cloud.talent.v4beta1.Job.employment_types],
         for example,
           "FULL_TIME", "PART_TIME".
         * company_size (DEPRECATED): histogram by
         [CompanySize][google.cloud.talent.v4beta1.CompanySize], for example,
         "SMALL", "MEDIUM", "BIG".
         * publish_time_in_day: histogram by the
         [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
           in days.
           Must specify list of numeric buckets in spec.
         * publish_time_in_month: histogram by the
         [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
           in months.
           Must specify list of numeric buckets in spec.
         * publish_time_in_year: histogram by the
         [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
           in years.
           Must specify list of numeric buckets in spec.
         * degree_types: histogram by the
         [Job.degree_types][google.cloud.talent.v4beta1.Job.degree_types], for
         example,
           "Bachelors", "Masters".
         * job_level: histogram by the
         [Job.job_level][google.cloud.talent.v4beta1.Job.job_level], for example,
         "Entry
           Level".
         * country: histogram by the country code of jobs, for example, "US", "FR".
         * admin1: histogram by the admin1 code of jobs, which is a global
           placeholder referring to the state, province, or the particular term a
           country uses to define the geographic structure below the country level,
           for example, "CA", "IL".
         * city: histogram by a combination of the "city name, admin1 code". For
           example,  "Mountain View, CA", "New York, NY".
         * admin1_country: histogram by a combination of the "admin1 code, country",
           for example, "CA, US", "IL, US".
         * city_coordinate: histogram by the city center's GPS coordinates (latitude
           and longitude), for example, 37.4038522,-122.0987765. Since the
           coordinates of a city center can change, customers may need to refresh
           them periodically.
         * locale: histogram by the
         [Job.language_code][google.cloud.talent.v4beta1.Job.language_code], for
         example, "en-US",
           "fr-FR".
         * language: histogram by the language subtag of the
         [Job.language_code][google.cloud.talent.v4beta1.Job.language_code],
           for example, "en", "fr".
         * category: histogram by the
         [JobCategory][google.cloud.talent.v4beta1.JobCategory], for example,
           "COMPUTER_AND_IT", "HEALTHCARE".
         * base_compensation_unit: histogram by the
           [CompensationInfo.CompensationUnit][google.cloud.talent.v4beta1.CompensationInfo.CompensationUnit]
           of base salary, for example, "WEEKLY", "MONTHLY".
         * base_compensation: histogram by the base salary. Must specify list of
           numeric buckets to group results by.
         * annualized_base_compensation: histogram by the base annualized salary.
           Must specify list of numeric buckets to group results by.
         * annualized_total_compensation: histogram by the total annualized salary.
           Must specify list of numeric buckets to group results by.
         * string_custom_attribute: histogram by string
         [Job.custom_attributes][google.cloud.talent.v4beta1.Job.custom_attributes].
           Values can be accessed via square bracket notations like
           string_custom_attribute["key1"].
         * numeric_custom_attribute: histogram by numeric
         [Job.custom_attributes][google.cloud.talent.v4beta1.Job.custom_attributes].
           Values can be accessed via square bracket notations like
           numeric_custom_attribute["key1"]. Must specify list of numeric buckets to
           group results by.
        
         Example expressions:
        
         * `count(admin1)`
         * `count(base_compensation, [bucket(1000, 10000), bucket(10000, 100000),
         bucket(100000, MAX)])`
         * `count(string_custom_attribute["some-string-custom-attribute"])`
         * `count(numeric_custom_attribute["some-numeric-custom-attribute"],
           [bucket(MIN, 0, "negative"), bucket(0, MAX, "non-negative")])`
         
        repeated .google.cloud.talent.v4beta1.HistogramQuery histogram_queries = 7;
      • addHistogramQueries

        public SearchJobsRequest.Builder addHistogramQueries​(int index,
                                                             HistogramQuery.Builder builderForValue)
         An expression specifies a histogram request against matching jobs.
        
         Expression syntax is an aggregation function call with histogram facets and
         other options.
        
         Available aggregation function calls are:
         * `count(string_histogram_facet)`: Count the number of matching entities,
         for each distinct attribute value.
         * `count(numeric_histogram_facet, list of buckets)`: Count the number of
         matching entities within each bucket.
        
         A maximum of 200 histogram buckets are supported.
        
         Data types:
        
         * Histogram facet: facet names with format `[a-zA-Z][a-zA-Z0-9_]+`.
         * String: string like "any string with backslash escape for quote(\")."
         * Number: whole number and floating point number like 10, -1 and -0.01.
         * List: list of elements with comma(,) separator surrounded by square
         brackets, for example, [1, 2, 3] and ["one", "two", "three"].
        
         Built-in constants:
        
         * MIN (minimum number similar to java Double.MIN_VALUE)
         * MAX (maximum number similar to java Double.MAX_VALUE)
        
         Built-in functions:
        
         * bucket(start, end[, label]): bucket built-in function creates a bucket
         with range of [start, end). Note that the end is exclusive, for example,
         bucket(1, MAX, "positive number") or bucket(1, 10).
        
         Job histogram facets:
        
         * company_display_name: histogram by
         [Job.company_display_name][google.cloud.talent.v4beta1.Job.company_display_name].
         * employment_type: histogram by
         [Job.employment_types][google.cloud.talent.v4beta1.Job.employment_types],
         for example,
           "FULL_TIME", "PART_TIME".
         * company_size (DEPRECATED): histogram by
         [CompanySize][google.cloud.talent.v4beta1.CompanySize], for example,
         "SMALL", "MEDIUM", "BIG".
         * publish_time_in_day: histogram by the
         [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
           in days.
           Must specify list of numeric buckets in spec.
         * publish_time_in_month: histogram by the
         [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
           in months.
           Must specify list of numeric buckets in spec.
         * publish_time_in_year: histogram by the
         [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
           in years.
           Must specify list of numeric buckets in spec.
         * degree_types: histogram by the
         [Job.degree_types][google.cloud.talent.v4beta1.Job.degree_types], for
         example,
           "Bachelors", "Masters".
         * job_level: histogram by the
         [Job.job_level][google.cloud.talent.v4beta1.Job.job_level], for example,
         "Entry
           Level".
         * country: histogram by the country code of jobs, for example, "US", "FR".
         * admin1: histogram by the admin1 code of jobs, which is a global
           placeholder referring to the state, province, or the particular term a
           country uses to define the geographic structure below the country level,
           for example, "CA", "IL".
         * city: histogram by a combination of the "city name, admin1 code". For
           example,  "Mountain View, CA", "New York, NY".
         * admin1_country: histogram by a combination of the "admin1 code, country",
           for example, "CA, US", "IL, US".
         * city_coordinate: histogram by the city center's GPS coordinates (latitude
           and longitude), for example, 37.4038522,-122.0987765. Since the
           coordinates of a city center can change, customers may need to refresh
           them periodically.
         * locale: histogram by the
         [Job.language_code][google.cloud.talent.v4beta1.Job.language_code], for
         example, "en-US",
           "fr-FR".
         * language: histogram by the language subtag of the
         [Job.language_code][google.cloud.talent.v4beta1.Job.language_code],
           for example, "en", "fr".
         * category: histogram by the
         [JobCategory][google.cloud.talent.v4beta1.JobCategory], for example,
           "COMPUTER_AND_IT", "HEALTHCARE".
         * base_compensation_unit: histogram by the
           [CompensationInfo.CompensationUnit][google.cloud.talent.v4beta1.CompensationInfo.CompensationUnit]
           of base salary, for example, "WEEKLY", "MONTHLY".
         * base_compensation: histogram by the base salary. Must specify list of
           numeric buckets to group results by.
         * annualized_base_compensation: histogram by the base annualized salary.
           Must specify list of numeric buckets to group results by.
         * annualized_total_compensation: histogram by the total annualized salary.
           Must specify list of numeric buckets to group results by.
         * string_custom_attribute: histogram by string
         [Job.custom_attributes][google.cloud.talent.v4beta1.Job.custom_attributes].
           Values can be accessed via square bracket notations like
           string_custom_attribute["key1"].
         * numeric_custom_attribute: histogram by numeric
         [Job.custom_attributes][google.cloud.talent.v4beta1.Job.custom_attributes].
           Values can be accessed via square bracket notations like
           numeric_custom_attribute["key1"]. Must specify list of numeric buckets to
           group results by.
        
         Example expressions:
        
         * `count(admin1)`
         * `count(base_compensation, [bucket(1000, 10000), bucket(10000, 100000),
         bucket(100000, MAX)])`
         * `count(string_custom_attribute["some-string-custom-attribute"])`
         * `count(numeric_custom_attribute["some-numeric-custom-attribute"],
           [bucket(MIN, 0, "negative"), bucket(0, MAX, "non-negative")])`
         
        repeated .google.cloud.talent.v4beta1.HistogramQuery histogram_queries = 7;
      • addAllHistogramQueries

        public SearchJobsRequest.Builder addAllHistogramQueries​(Iterable<? extends HistogramQuery> values)
         An expression specifies a histogram request against matching jobs.
        
         Expression syntax is an aggregation function call with histogram facets and
         other options.
        
         Available aggregation function calls are:
         * `count(string_histogram_facet)`: Count the number of matching entities,
         for each distinct attribute value.
         * `count(numeric_histogram_facet, list of buckets)`: Count the number of
         matching entities within each bucket.
        
         A maximum of 200 histogram buckets are supported.
        
         Data types:
        
         * Histogram facet: facet names with format `[a-zA-Z][a-zA-Z0-9_]+`.
         * String: string like "any string with backslash escape for quote(\")."
         * Number: whole number and floating point number like 10, -1 and -0.01.
         * List: list of elements with comma(,) separator surrounded by square
         brackets, for example, [1, 2, 3] and ["one", "two", "three"].
        
         Built-in constants:
        
         * MIN (minimum number similar to java Double.MIN_VALUE)
         * MAX (maximum number similar to java Double.MAX_VALUE)
        
         Built-in functions:
        
         * bucket(start, end[, label]): bucket built-in function creates a bucket
         with range of [start, end). Note that the end is exclusive, for example,
         bucket(1, MAX, "positive number") or bucket(1, 10).
        
         Job histogram facets:
        
         * company_display_name: histogram by
         [Job.company_display_name][google.cloud.talent.v4beta1.Job.company_display_name].
         * employment_type: histogram by
         [Job.employment_types][google.cloud.talent.v4beta1.Job.employment_types],
         for example,
           "FULL_TIME", "PART_TIME".
         * company_size (DEPRECATED): histogram by
         [CompanySize][google.cloud.talent.v4beta1.CompanySize], for example,
         "SMALL", "MEDIUM", "BIG".
         * publish_time_in_day: histogram by the
         [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
           in days.
           Must specify list of numeric buckets in spec.
         * publish_time_in_month: histogram by the
         [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
           in months.
           Must specify list of numeric buckets in spec.
         * publish_time_in_year: histogram by the
         [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
           in years.
           Must specify list of numeric buckets in spec.
         * degree_types: histogram by the
         [Job.degree_types][google.cloud.talent.v4beta1.Job.degree_types], for
         example,
           "Bachelors", "Masters".
         * job_level: histogram by the
         [Job.job_level][google.cloud.talent.v4beta1.Job.job_level], for example,
         "Entry
           Level".
         * country: histogram by the country code of jobs, for example, "US", "FR".
         * admin1: histogram by the admin1 code of jobs, which is a global
           placeholder referring to the state, province, or the particular term a
           country uses to define the geographic structure below the country level,
           for example, "CA", "IL".
         * city: histogram by a combination of the "city name, admin1 code". For
           example,  "Mountain View, CA", "New York, NY".
         * admin1_country: histogram by a combination of the "admin1 code, country",
           for example, "CA, US", "IL, US".
         * city_coordinate: histogram by the city center's GPS coordinates (latitude
           and longitude), for example, 37.4038522,-122.0987765. Since the
           coordinates of a city center can change, customers may need to refresh
           them periodically.
         * locale: histogram by the
         [Job.language_code][google.cloud.talent.v4beta1.Job.language_code], for
         example, "en-US",
           "fr-FR".
         * language: histogram by the language subtag of the
         [Job.language_code][google.cloud.talent.v4beta1.Job.language_code],
           for example, "en", "fr".
         * category: histogram by the
         [JobCategory][google.cloud.talent.v4beta1.JobCategory], for example,
           "COMPUTER_AND_IT", "HEALTHCARE".
         * base_compensation_unit: histogram by the
           [CompensationInfo.CompensationUnit][google.cloud.talent.v4beta1.CompensationInfo.CompensationUnit]
           of base salary, for example, "WEEKLY", "MONTHLY".
         * base_compensation: histogram by the base salary. Must specify list of
           numeric buckets to group results by.
         * annualized_base_compensation: histogram by the base annualized salary.
           Must specify list of numeric buckets to group results by.
         * annualized_total_compensation: histogram by the total annualized salary.
           Must specify list of numeric buckets to group results by.
         * string_custom_attribute: histogram by string
         [Job.custom_attributes][google.cloud.talent.v4beta1.Job.custom_attributes].
           Values can be accessed via square bracket notations like
           string_custom_attribute["key1"].
         * numeric_custom_attribute: histogram by numeric
         [Job.custom_attributes][google.cloud.talent.v4beta1.Job.custom_attributes].
           Values can be accessed via square bracket notations like
           numeric_custom_attribute["key1"]. Must specify list of numeric buckets to
           group results by.
        
         Example expressions:
        
         * `count(admin1)`
         * `count(base_compensation, [bucket(1000, 10000), bucket(10000, 100000),
         bucket(100000, MAX)])`
         * `count(string_custom_attribute["some-string-custom-attribute"])`
         * `count(numeric_custom_attribute["some-numeric-custom-attribute"],
           [bucket(MIN, 0, "negative"), bucket(0, MAX, "non-negative")])`
         
        repeated .google.cloud.talent.v4beta1.HistogramQuery histogram_queries = 7;
      • clearHistogramQueries

        public SearchJobsRequest.Builder clearHistogramQueries()
         An expression specifies a histogram request against matching jobs.
        
         Expression syntax is an aggregation function call with histogram facets and
         other options.
        
         Available aggregation function calls are:
         * `count(string_histogram_facet)`: Count the number of matching entities,
         for each distinct attribute value.
         * `count(numeric_histogram_facet, list of buckets)`: Count the number of
         matching entities within each bucket.
        
         A maximum of 200 histogram buckets are supported.
        
         Data types:
        
         * Histogram facet: facet names with format `[a-zA-Z][a-zA-Z0-9_]+`.
         * String: string like "any string with backslash escape for quote(\")."
         * Number: whole number and floating point number like 10, -1 and -0.01.
         * List: list of elements with comma(,) separator surrounded by square
         brackets, for example, [1, 2, 3] and ["one", "two", "three"].
        
         Built-in constants:
        
         * MIN (minimum number similar to java Double.MIN_VALUE)
         * MAX (maximum number similar to java Double.MAX_VALUE)
        
         Built-in functions:
        
         * bucket(start, end[, label]): bucket built-in function creates a bucket
         with range of [start, end). Note that the end is exclusive, for example,
         bucket(1, MAX, "positive number") or bucket(1, 10).
        
         Job histogram facets:
        
         * company_display_name: histogram by
         [Job.company_display_name][google.cloud.talent.v4beta1.Job.company_display_name].
         * employment_type: histogram by
         [Job.employment_types][google.cloud.talent.v4beta1.Job.employment_types],
         for example,
           "FULL_TIME", "PART_TIME".
         * company_size (DEPRECATED): histogram by
         [CompanySize][google.cloud.talent.v4beta1.CompanySize], for example,
         "SMALL", "MEDIUM", "BIG".
         * publish_time_in_day: histogram by the
         [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
           in days.
           Must specify list of numeric buckets in spec.
         * publish_time_in_month: histogram by the
         [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
           in months.
           Must specify list of numeric buckets in spec.
         * publish_time_in_year: histogram by the
         [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
           in years.
           Must specify list of numeric buckets in spec.
         * degree_types: histogram by the
         [Job.degree_types][google.cloud.talent.v4beta1.Job.degree_types], for
         example,
           "Bachelors", "Masters".
         * job_level: histogram by the
         [Job.job_level][google.cloud.talent.v4beta1.Job.job_level], for example,
         "Entry
           Level".
         * country: histogram by the country code of jobs, for example, "US", "FR".
         * admin1: histogram by the admin1 code of jobs, which is a global
           placeholder referring to the state, province, or the particular term a
           country uses to define the geographic structure below the country level,
           for example, "CA", "IL".
         * city: histogram by a combination of the "city name, admin1 code". For
           example,  "Mountain View, CA", "New York, NY".
         * admin1_country: histogram by a combination of the "admin1 code, country",
           for example, "CA, US", "IL, US".
         * city_coordinate: histogram by the city center's GPS coordinates (latitude
           and longitude), for example, 37.4038522,-122.0987765. Since the
           coordinates of a city center can change, customers may need to refresh
           them periodically.
         * locale: histogram by the
         [Job.language_code][google.cloud.talent.v4beta1.Job.language_code], for
         example, "en-US",
           "fr-FR".
         * language: histogram by the language subtag of the
         [Job.language_code][google.cloud.talent.v4beta1.Job.language_code],
           for example, "en", "fr".
         * category: histogram by the
         [JobCategory][google.cloud.talent.v4beta1.JobCategory], for example,
           "COMPUTER_AND_IT", "HEALTHCARE".
         * base_compensation_unit: histogram by the
           [CompensationInfo.CompensationUnit][google.cloud.talent.v4beta1.CompensationInfo.CompensationUnit]
           of base salary, for example, "WEEKLY", "MONTHLY".
         * base_compensation: histogram by the base salary. Must specify list of
           numeric buckets to group results by.
         * annualized_base_compensation: histogram by the base annualized salary.
           Must specify list of numeric buckets to group results by.
         * annualized_total_compensation: histogram by the total annualized salary.
           Must specify list of numeric buckets to group results by.
         * string_custom_attribute: histogram by string
         [Job.custom_attributes][google.cloud.talent.v4beta1.Job.custom_attributes].
           Values can be accessed via square bracket notations like
           string_custom_attribute["key1"].
         * numeric_custom_attribute: histogram by numeric
         [Job.custom_attributes][google.cloud.talent.v4beta1.Job.custom_attributes].
           Values can be accessed via square bracket notations like
           numeric_custom_attribute["key1"]. Must specify list of numeric buckets to
           group results by.
        
         Example expressions:
        
         * `count(admin1)`
         * `count(base_compensation, [bucket(1000, 10000), bucket(10000, 100000),
         bucket(100000, MAX)])`
         * `count(string_custom_attribute["some-string-custom-attribute"])`
         * `count(numeric_custom_attribute["some-numeric-custom-attribute"],
           [bucket(MIN, 0, "negative"), bucket(0, MAX, "non-negative")])`
         
        repeated .google.cloud.talent.v4beta1.HistogramQuery histogram_queries = 7;
      • removeHistogramQueries

        public SearchJobsRequest.Builder removeHistogramQueries​(int index)
         An expression specifies a histogram request against matching jobs.
        
         Expression syntax is an aggregation function call with histogram facets and
         other options.
        
         Available aggregation function calls are:
         * `count(string_histogram_facet)`: Count the number of matching entities,
         for each distinct attribute value.
         * `count(numeric_histogram_facet, list of buckets)`: Count the number of
         matching entities within each bucket.
        
         A maximum of 200 histogram buckets are supported.
        
         Data types:
        
         * Histogram facet: facet names with format `[a-zA-Z][a-zA-Z0-9_]+`.
         * String: string like "any string with backslash escape for quote(\")."
         * Number: whole number and floating point number like 10, -1 and -0.01.
         * List: list of elements with comma(,) separator surrounded by square
         brackets, for example, [1, 2, 3] and ["one", "two", "three"].
        
         Built-in constants:
        
         * MIN (minimum number similar to java Double.MIN_VALUE)
         * MAX (maximum number similar to java Double.MAX_VALUE)
        
         Built-in functions:
        
         * bucket(start, end[, label]): bucket built-in function creates a bucket
         with range of [start, end). Note that the end is exclusive, for example,
         bucket(1, MAX, "positive number") or bucket(1, 10).
        
         Job histogram facets:
        
         * company_display_name: histogram by
         [Job.company_display_name][google.cloud.talent.v4beta1.Job.company_display_name].
         * employment_type: histogram by
         [Job.employment_types][google.cloud.talent.v4beta1.Job.employment_types],
         for example,
           "FULL_TIME", "PART_TIME".
         * company_size (DEPRECATED): histogram by
         [CompanySize][google.cloud.talent.v4beta1.CompanySize], for example,
         "SMALL", "MEDIUM", "BIG".
         * publish_time_in_day: histogram by the
         [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
           in days.
           Must specify list of numeric buckets in spec.
         * publish_time_in_month: histogram by the
         [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
           in months.
           Must specify list of numeric buckets in spec.
         * publish_time_in_year: histogram by the
         [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
           in years.
           Must specify list of numeric buckets in spec.
         * degree_types: histogram by the
         [Job.degree_types][google.cloud.talent.v4beta1.Job.degree_types], for
         example,
           "Bachelors", "Masters".
         * job_level: histogram by the
         [Job.job_level][google.cloud.talent.v4beta1.Job.job_level], for example,
         "Entry
           Level".
         * country: histogram by the country code of jobs, for example, "US", "FR".
         * admin1: histogram by the admin1 code of jobs, which is a global
           placeholder referring to the state, province, or the particular term a
           country uses to define the geographic structure below the country level,
           for example, "CA", "IL".
         * city: histogram by a combination of the "city name, admin1 code". For
           example,  "Mountain View, CA", "New York, NY".
         * admin1_country: histogram by a combination of the "admin1 code, country",
           for example, "CA, US", "IL, US".
         * city_coordinate: histogram by the city center's GPS coordinates (latitude
           and longitude), for example, 37.4038522,-122.0987765. Since the
           coordinates of a city center can change, customers may need to refresh
           them periodically.
         * locale: histogram by the
         [Job.language_code][google.cloud.talent.v4beta1.Job.language_code], for
         example, "en-US",
           "fr-FR".
         * language: histogram by the language subtag of the
         [Job.language_code][google.cloud.talent.v4beta1.Job.language_code],
           for example, "en", "fr".
         * category: histogram by the
         [JobCategory][google.cloud.talent.v4beta1.JobCategory], for example,
           "COMPUTER_AND_IT", "HEALTHCARE".
         * base_compensation_unit: histogram by the
           [CompensationInfo.CompensationUnit][google.cloud.talent.v4beta1.CompensationInfo.CompensationUnit]
           of base salary, for example, "WEEKLY", "MONTHLY".
         * base_compensation: histogram by the base salary. Must specify list of
           numeric buckets to group results by.
         * annualized_base_compensation: histogram by the base annualized salary.
           Must specify list of numeric buckets to group results by.
         * annualized_total_compensation: histogram by the total annualized salary.
           Must specify list of numeric buckets to group results by.
         * string_custom_attribute: histogram by string
         [Job.custom_attributes][google.cloud.talent.v4beta1.Job.custom_attributes].
           Values can be accessed via square bracket notations like
           string_custom_attribute["key1"].
         * numeric_custom_attribute: histogram by numeric
         [Job.custom_attributes][google.cloud.talent.v4beta1.Job.custom_attributes].
           Values can be accessed via square bracket notations like
           numeric_custom_attribute["key1"]. Must specify list of numeric buckets to
           group results by.
        
         Example expressions:
        
         * `count(admin1)`
         * `count(base_compensation, [bucket(1000, 10000), bucket(10000, 100000),
         bucket(100000, MAX)])`
         * `count(string_custom_attribute["some-string-custom-attribute"])`
         * `count(numeric_custom_attribute["some-numeric-custom-attribute"],
           [bucket(MIN, 0, "negative"), bucket(0, MAX, "non-negative")])`
         
        repeated .google.cloud.talent.v4beta1.HistogramQuery histogram_queries = 7;
      • getHistogramQueriesBuilder

        public HistogramQuery.Builder getHistogramQueriesBuilder​(int index)
         An expression specifies a histogram request against matching jobs.
        
         Expression syntax is an aggregation function call with histogram facets and
         other options.
        
         Available aggregation function calls are:
         * `count(string_histogram_facet)`: Count the number of matching entities,
         for each distinct attribute value.
         * `count(numeric_histogram_facet, list of buckets)`: Count the number of
         matching entities within each bucket.
        
         A maximum of 200 histogram buckets are supported.
        
         Data types:
        
         * Histogram facet: facet names with format `[a-zA-Z][a-zA-Z0-9_]+`.
         * String: string like "any string with backslash escape for quote(\")."
         * Number: whole number and floating point number like 10, -1 and -0.01.
         * List: list of elements with comma(,) separator surrounded by square
         brackets, for example, [1, 2, 3] and ["one", "two", "three"].
        
         Built-in constants:
        
         * MIN (minimum number similar to java Double.MIN_VALUE)
         * MAX (maximum number similar to java Double.MAX_VALUE)
        
         Built-in functions:
        
         * bucket(start, end[, label]): bucket built-in function creates a bucket
         with range of [start, end). Note that the end is exclusive, for example,
         bucket(1, MAX, "positive number") or bucket(1, 10).
        
         Job histogram facets:
        
         * company_display_name: histogram by
         [Job.company_display_name][google.cloud.talent.v4beta1.Job.company_display_name].
         * employment_type: histogram by
         [Job.employment_types][google.cloud.talent.v4beta1.Job.employment_types],
         for example,
           "FULL_TIME", "PART_TIME".
         * company_size (DEPRECATED): histogram by
         [CompanySize][google.cloud.talent.v4beta1.CompanySize], for example,
         "SMALL", "MEDIUM", "BIG".
         * publish_time_in_day: histogram by the
         [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
           in days.
           Must specify list of numeric buckets in spec.
         * publish_time_in_month: histogram by the
         [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
           in months.
           Must specify list of numeric buckets in spec.
         * publish_time_in_year: histogram by the
         [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
           in years.
           Must specify list of numeric buckets in spec.
         * degree_types: histogram by the
         [Job.degree_types][google.cloud.talent.v4beta1.Job.degree_types], for
         example,
           "Bachelors", "Masters".
         * job_level: histogram by the
         [Job.job_level][google.cloud.talent.v4beta1.Job.job_level], for example,
         "Entry
           Level".
         * country: histogram by the country code of jobs, for example, "US", "FR".
         * admin1: histogram by the admin1 code of jobs, which is a global
           placeholder referring to the state, province, or the particular term a
           country uses to define the geographic structure below the country level,
           for example, "CA", "IL".
         * city: histogram by a combination of the "city name, admin1 code". For
           example,  "Mountain View, CA", "New York, NY".
         * admin1_country: histogram by a combination of the "admin1 code, country",
           for example, "CA, US", "IL, US".
         * city_coordinate: histogram by the city center's GPS coordinates (latitude
           and longitude), for example, 37.4038522,-122.0987765. Since the
           coordinates of a city center can change, customers may need to refresh
           them periodically.
         * locale: histogram by the
         [Job.language_code][google.cloud.talent.v4beta1.Job.language_code], for
         example, "en-US",
           "fr-FR".
         * language: histogram by the language subtag of the
         [Job.language_code][google.cloud.talent.v4beta1.Job.language_code],
           for example, "en", "fr".
         * category: histogram by the
         [JobCategory][google.cloud.talent.v4beta1.JobCategory], for example,
           "COMPUTER_AND_IT", "HEALTHCARE".
         * base_compensation_unit: histogram by the
           [CompensationInfo.CompensationUnit][google.cloud.talent.v4beta1.CompensationInfo.CompensationUnit]
           of base salary, for example, "WEEKLY", "MONTHLY".
         * base_compensation: histogram by the base salary. Must specify list of
           numeric buckets to group results by.
         * annualized_base_compensation: histogram by the base annualized salary.
           Must specify list of numeric buckets to group results by.
         * annualized_total_compensation: histogram by the total annualized salary.
           Must specify list of numeric buckets to group results by.
         * string_custom_attribute: histogram by string
         [Job.custom_attributes][google.cloud.talent.v4beta1.Job.custom_attributes].
           Values can be accessed via square bracket notations like
           string_custom_attribute["key1"].
         * numeric_custom_attribute: histogram by numeric
         [Job.custom_attributes][google.cloud.talent.v4beta1.Job.custom_attributes].
           Values can be accessed via square bracket notations like
           numeric_custom_attribute["key1"]. Must specify list of numeric buckets to
           group results by.
        
         Example expressions:
        
         * `count(admin1)`
         * `count(base_compensation, [bucket(1000, 10000), bucket(10000, 100000),
         bucket(100000, MAX)])`
         * `count(string_custom_attribute["some-string-custom-attribute"])`
         * `count(numeric_custom_attribute["some-numeric-custom-attribute"],
           [bucket(MIN, 0, "negative"), bucket(0, MAX, "non-negative")])`
         
        repeated .google.cloud.talent.v4beta1.HistogramQuery histogram_queries = 7;
      • getHistogramQueriesOrBuilder

        public HistogramQueryOrBuilder getHistogramQueriesOrBuilder​(int index)
         An expression specifies a histogram request against matching jobs.
        
         Expression syntax is an aggregation function call with histogram facets and
         other options.
        
         Available aggregation function calls are:
         * `count(string_histogram_facet)`: Count the number of matching entities,
         for each distinct attribute value.
         * `count(numeric_histogram_facet, list of buckets)`: Count the number of
         matching entities within each bucket.
        
         A maximum of 200 histogram buckets are supported.
        
         Data types:
        
         * Histogram facet: facet names with format `[a-zA-Z][a-zA-Z0-9_]+`.
         * String: string like "any string with backslash escape for quote(\")."
         * Number: whole number and floating point number like 10, -1 and -0.01.
         * List: list of elements with comma(,) separator surrounded by square
         brackets, for example, [1, 2, 3] and ["one", "two", "three"].
        
         Built-in constants:
        
         * MIN (minimum number similar to java Double.MIN_VALUE)
         * MAX (maximum number similar to java Double.MAX_VALUE)
        
         Built-in functions:
        
         * bucket(start, end[, label]): bucket built-in function creates a bucket
         with range of [start, end). Note that the end is exclusive, for example,
         bucket(1, MAX, "positive number") or bucket(1, 10).
        
         Job histogram facets:
        
         * company_display_name: histogram by
         [Job.company_display_name][google.cloud.talent.v4beta1.Job.company_display_name].
         * employment_type: histogram by
         [Job.employment_types][google.cloud.talent.v4beta1.Job.employment_types],
         for example,
           "FULL_TIME", "PART_TIME".
         * company_size (DEPRECATED): histogram by
         [CompanySize][google.cloud.talent.v4beta1.CompanySize], for example,
         "SMALL", "MEDIUM", "BIG".
         * publish_time_in_day: histogram by the
         [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
           in days.
           Must specify list of numeric buckets in spec.
         * publish_time_in_month: histogram by the
         [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
           in months.
           Must specify list of numeric buckets in spec.
         * publish_time_in_year: histogram by the
         [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
           in years.
           Must specify list of numeric buckets in spec.
         * degree_types: histogram by the
         [Job.degree_types][google.cloud.talent.v4beta1.Job.degree_types], for
         example,
           "Bachelors", "Masters".
         * job_level: histogram by the
         [Job.job_level][google.cloud.talent.v4beta1.Job.job_level], for example,
         "Entry
           Level".
         * country: histogram by the country code of jobs, for example, "US", "FR".
         * admin1: histogram by the admin1 code of jobs, which is a global
           placeholder referring to the state, province, or the particular term a
           country uses to define the geographic structure below the country level,
           for example, "CA", "IL".
         * city: histogram by a combination of the "city name, admin1 code". For
           example,  "Mountain View, CA", "New York, NY".
         * admin1_country: histogram by a combination of the "admin1 code, country",
           for example, "CA, US", "IL, US".
         * city_coordinate: histogram by the city center's GPS coordinates (latitude
           and longitude), for example, 37.4038522,-122.0987765. Since the
           coordinates of a city center can change, customers may need to refresh
           them periodically.
         * locale: histogram by the
         [Job.language_code][google.cloud.talent.v4beta1.Job.language_code], for
         example, "en-US",
           "fr-FR".
         * language: histogram by the language subtag of the
         [Job.language_code][google.cloud.talent.v4beta1.Job.language_code],
           for example, "en", "fr".
         * category: histogram by the
         [JobCategory][google.cloud.talent.v4beta1.JobCategory], for example,
           "COMPUTER_AND_IT", "HEALTHCARE".
         * base_compensation_unit: histogram by the
           [CompensationInfo.CompensationUnit][google.cloud.talent.v4beta1.CompensationInfo.CompensationUnit]
           of base salary, for example, "WEEKLY", "MONTHLY".
         * base_compensation: histogram by the base salary. Must specify list of
           numeric buckets to group results by.
         * annualized_base_compensation: histogram by the base annualized salary.
           Must specify list of numeric buckets to group results by.
         * annualized_total_compensation: histogram by the total annualized salary.
           Must specify list of numeric buckets to group results by.
         * string_custom_attribute: histogram by string
         [Job.custom_attributes][google.cloud.talent.v4beta1.Job.custom_attributes].
           Values can be accessed via square bracket notations like
           string_custom_attribute["key1"].
         * numeric_custom_attribute: histogram by numeric
         [Job.custom_attributes][google.cloud.talent.v4beta1.Job.custom_attributes].
           Values can be accessed via square bracket notations like
           numeric_custom_attribute["key1"]. Must specify list of numeric buckets to
           group results by.
        
         Example expressions:
        
         * `count(admin1)`
         * `count(base_compensation, [bucket(1000, 10000), bucket(10000, 100000),
         bucket(100000, MAX)])`
         * `count(string_custom_attribute["some-string-custom-attribute"])`
         * `count(numeric_custom_attribute["some-numeric-custom-attribute"],
           [bucket(MIN, 0, "negative"), bucket(0, MAX, "non-negative")])`
         
        repeated .google.cloud.talent.v4beta1.HistogramQuery histogram_queries = 7;
        Specified by:
        getHistogramQueriesOrBuilder in interface SearchJobsRequestOrBuilder
      • getHistogramQueriesOrBuilderList

        public List<? extends HistogramQueryOrBuilder> getHistogramQueriesOrBuilderList()
         An expression specifies a histogram request against matching jobs.
        
         Expression syntax is an aggregation function call with histogram facets and
         other options.
        
         Available aggregation function calls are:
         * `count(string_histogram_facet)`: Count the number of matching entities,
         for each distinct attribute value.
         * `count(numeric_histogram_facet, list of buckets)`: Count the number of
         matching entities within each bucket.
        
         A maximum of 200 histogram buckets are supported.
        
         Data types:
        
         * Histogram facet: facet names with format `[a-zA-Z][a-zA-Z0-9_]+`.
         * String: string like "any string with backslash escape for quote(\")."
         * Number: whole number and floating point number like 10, -1 and -0.01.
         * List: list of elements with comma(,) separator surrounded by square
         brackets, for example, [1, 2, 3] and ["one", "two", "three"].
        
         Built-in constants:
        
         * MIN (minimum number similar to java Double.MIN_VALUE)
         * MAX (maximum number similar to java Double.MAX_VALUE)
        
         Built-in functions:
        
         * bucket(start, end[, label]): bucket built-in function creates a bucket
         with range of [start, end). Note that the end is exclusive, for example,
         bucket(1, MAX, "positive number") or bucket(1, 10).
        
         Job histogram facets:
        
         * company_display_name: histogram by
         [Job.company_display_name][google.cloud.talent.v4beta1.Job.company_display_name].
         * employment_type: histogram by
         [Job.employment_types][google.cloud.talent.v4beta1.Job.employment_types],
         for example,
           "FULL_TIME", "PART_TIME".
         * company_size (DEPRECATED): histogram by
         [CompanySize][google.cloud.talent.v4beta1.CompanySize], for example,
         "SMALL", "MEDIUM", "BIG".
         * publish_time_in_day: histogram by the
         [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
           in days.
           Must specify list of numeric buckets in spec.
         * publish_time_in_month: histogram by the
         [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
           in months.
           Must specify list of numeric buckets in spec.
         * publish_time_in_year: histogram by the
         [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
           in years.
           Must specify list of numeric buckets in spec.
         * degree_types: histogram by the
         [Job.degree_types][google.cloud.talent.v4beta1.Job.degree_types], for
         example,
           "Bachelors", "Masters".
         * job_level: histogram by the
         [Job.job_level][google.cloud.talent.v4beta1.Job.job_level], for example,
         "Entry
           Level".
         * country: histogram by the country code of jobs, for example, "US", "FR".
         * admin1: histogram by the admin1 code of jobs, which is a global
           placeholder referring to the state, province, or the particular term a
           country uses to define the geographic structure below the country level,
           for example, "CA", "IL".
         * city: histogram by a combination of the "city name, admin1 code". For
           example,  "Mountain View, CA", "New York, NY".
         * admin1_country: histogram by a combination of the "admin1 code, country",
           for example, "CA, US", "IL, US".
         * city_coordinate: histogram by the city center's GPS coordinates (latitude
           and longitude), for example, 37.4038522,-122.0987765. Since the
           coordinates of a city center can change, customers may need to refresh
           them periodically.
         * locale: histogram by the
         [Job.language_code][google.cloud.talent.v4beta1.Job.language_code], for
         example, "en-US",
           "fr-FR".
         * language: histogram by the language subtag of the
         [Job.language_code][google.cloud.talent.v4beta1.Job.language_code],
           for example, "en", "fr".
         * category: histogram by the
         [JobCategory][google.cloud.talent.v4beta1.JobCategory], for example,
           "COMPUTER_AND_IT", "HEALTHCARE".
         * base_compensation_unit: histogram by the
           [CompensationInfo.CompensationUnit][google.cloud.talent.v4beta1.CompensationInfo.CompensationUnit]
           of base salary, for example, "WEEKLY", "MONTHLY".
         * base_compensation: histogram by the base salary. Must specify list of
           numeric buckets to group results by.
         * annualized_base_compensation: histogram by the base annualized salary.
           Must specify list of numeric buckets to group results by.
         * annualized_total_compensation: histogram by the total annualized salary.
           Must specify list of numeric buckets to group results by.
         * string_custom_attribute: histogram by string
         [Job.custom_attributes][google.cloud.talent.v4beta1.Job.custom_attributes].
           Values can be accessed via square bracket notations like
           string_custom_attribute["key1"].
         * numeric_custom_attribute: histogram by numeric
         [Job.custom_attributes][google.cloud.talent.v4beta1.Job.custom_attributes].
           Values can be accessed via square bracket notations like
           numeric_custom_attribute["key1"]. Must specify list of numeric buckets to
           group results by.
        
         Example expressions:
        
         * `count(admin1)`
         * `count(base_compensation, [bucket(1000, 10000), bucket(10000, 100000),
         bucket(100000, MAX)])`
         * `count(string_custom_attribute["some-string-custom-attribute"])`
         * `count(numeric_custom_attribute["some-numeric-custom-attribute"],
           [bucket(MIN, 0, "negative"), bucket(0, MAX, "non-negative")])`
         
        repeated .google.cloud.talent.v4beta1.HistogramQuery histogram_queries = 7;
        Specified by:
        getHistogramQueriesOrBuilderList in interface SearchJobsRequestOrBuilder
      • addHistogramQueriesBuilder

        public HistogramQuery.Builder addHistogramQueriesBuilder()
         An expression specifies a histogram request against matching jobs.
        
         Expression syntax is an aggregation function call with histogram facets and
         other options.
        
         Available aggregation function calls are:
         * `count(string_histogram_facet)`: Count the number of matching entities,
         for each distinct attribute value.
         * `count(numeric_histogram_facet, list of buckets)`: Count the number of
         matching entities within each bucket.
        
         A maximum of 200 histogram buckets are supported.
        
         Data types:
        
         * Histogram facet: facet names with format `[a-zA-Z][a-zA-Z0-9_]+`.
         * String: string like "any string with backslash escape for quote(\")."
         * Number: whole number and floating point number like 10, -1 and -0.01.
         * List: list of elements with comma(,) separator surrounded by square
         brackets, for example, [1, 2, 3] and ["one", "two", "three"].
        
         Built-in constants:
        
         * MIN (minimum number similar to java Double.MIN_VALUE)
         * MAX (maximum number similar to java Double.MAX_VALUE)
        
         Built-in functions:
        
         * bucket(start, end[, label]): bucket built-in function creates a bucket
         with range of [start, end). Note that the end is exclusive, for example,
         bucket(1, MAX, "positive number") or bucket(1, 10).
        
         Job histogram facets:
        
         * company_display_name: histogram by
         [Job.company_display_name][google.cloud.talent.v4beta1.Job.company_display_name].
         * employment_type: histogram by
         [Job.employment_types][google.cloud.talent.v4beta1.Job.employment_types],
         for example,
           "FULL_TIME", "PART_TIME".
         * company_size (DEPRECATED): histogram by
         [CompanySize][google.cloud.talent.v4beta1.CompanySize], for example,
         "SMALL", "MEDIUM", "BIG".
         * publish_time_in_day: histogram by the
         [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
           in days.
           Must specify list of numeric buckets in spec.
         * publish_time_in_month: histogram by the
         [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
           in months.
           Must specify list of numeric buckets in spec.
         * publish_time_in_year: histogram by the
         [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
           in years.
           Must specify list of numeric buckets in spec.
         * degree_types: histogram by the
         [Job.degree_types][google.cloud.talent.v4beta1.Job.degree_types], for
         example,
           "Bachelors", "Masters".
         * job_level: histogram by the
         [Job.job_level][google.cloud.talent.v4beta1.Job.job_level], for example,
         "Entry
           Level".
         * country: histogram by the country code of jobs, for example, "US", "FR".
         * admin1: histogram by the admin1 code of jobs, which is a global
           placeholder referring to the state, province, or the particular term a
           country uses to define the geographic structure below the country level,
           for example, "CA", "IL".
         * city: histogram by a combination of the "city name, admin1 code". For
           example,  "Mountain View, CA", "New York, NY".
         * admin1_country: histogram by a combination of the "admin1 code, country",
           for example, "CA, US", "IL, US".
         * city_coordinate: histogram by the city center's GPS coordinates (latitude
           and longitude), for example, 37.4038522,-122.0987765. Since the
           coordinates of a city center can change, customers may need to refresh
           them periodically.
         * locale: histogram by the
         [Job.language_code][google.cloud.talent.v4beta1.Job.language_code], for
         example, "en-US",
           "fr-FR".
         * language: histogram by the language subtag of the
         [Job.language_code][google.cloud.talent.v4beta1.Job.language_code],
           for example, "en", "fr".
         * category: histogram by the
         [JobCategory][google.cloud.talent.v4beta1.JobCategory], for example,
           "COMPUTER_AND_IT", "HEALTHCARE".
         * base_compensation_unit: histogram by the
           [CompensationInfo.CompensationUnit][google.cloud.talent.v4beta1.CompensationInfo.CompensationUnit]
           of base salary, for example, "WEEKLY", "MONTHLY".
         * base_compensation: histogram by the base salary. Must specify list of
           numeric buckets to group results by.
         * annualized_base_compensation: histogram by the base annualized salary.
           Must specify list of numeric buckets to group results by.
         * annualized_total_compensation: histogram by the total annualized salary.
           Must specify list of numeric buckets to group results by.
         * string_custom_attribute: histogram by string
         [Job.custom_attributes][google.cloud.talent.v4beta1.Job.custom_attributes].
           Values can be accessed via square bracket notations like
           string_custom_attribute["key1"].
         * numeric_custom_attribute: histogram by numeric
         [Job.custom_attributes][google.cloud.talent.v4beta1.Job.custom_attributes].
           Values can be accessed via square bracket notations like
           numeric_custom_attribute["key1"]. Must specify list of numeric buckets to
           group results by.
        
         Example expressions:
        
         * `count(admin1)`
         * `count(base_compensation, [bucket(1000, 10000), bucket(10000, 100000),
         bucket(100000, MAX)])`
         * `count(string_custom_attribute["some-string-custom-attribute"])`
         * `count(numeric_custom_attribute["some-numeric-custom-attribute"],
           [bucket(MIN, 0, "negative"), bucket(0, MAX, "non-negative")])`
         
        repeated .google.cloud.talent.v4beta1.HistogramQuery histogram_queries = 7;
      • addHistogramQueriesBuilder

        public HistogramQuery.Builder addHistogramQueriesBuilder​(int index)
         An expression specifies a histogram request against matching jobs.
        
         Expression syntax is an aggregation function call with histogram facets and
         other options.
        
         Available aggregation function calls are:
         * `count(string_histogram_facet)`: Count the number of matching entities,
         for each distinct attribute value.
         * `count(numeric_histogram_facet, list of buckets)`: Count the number of
         matching entities within each bucket.
        
         A maximum of 200 histogram buckets are supported.
        
         Data types:
        
         * Histogram facet: facet names with format `[a-zA-Z][a-zA-Z0-9_]+`.
         * String: string like "any string with backslash escape for quote(\")."
         * Number: whole number and floating point number like 10, -1 and -0.01.
         * List: list of elements with comma(,) separator surrounded by square
         brackets, for example, [1, 2, 3] and ["one", "two", "three"].
        
         Built-in constants:
        
         * MIN (minimum number similar to java Double.MIN_VALUE)
         * MAX (maximum number similar to java Double.MAX_VALUE)
        
         Built-in functions:
        
         * bucket(start, end[, label]): bucket built-in function creates a bucket
         with range of [start, end). Note that the end is exclusive, for example,
         bucket(1, MAX, "positive number") or bucket(1, 10).
        
         Job histogram facets:
        
         * company_display_name: histogram by
         [Job.company_display_name][google.cloud.talent.v4beta1.Job.company_display_name].
         * employment_type: histogram by
         [Job.employment_types][google.cloud.talent.v4beta1.Job.employment_types],
         for example,
           "FULL_TIME", "PART_TIME".
         * company_size (DEPRECATED): histogram by
         [CompanySize][google.cloud.talent.v4beta1.CompanySize], for example,
         "SMALL", "MEDIUM", "BIG".
         * publish_time_in_day: histogram by the
         [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
           in days.
           Must specify list of numeric buckets in spec.
         * publish_time_in_month: histogram by the
         [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
           in months.
           Must specify list of numeric buckets in spec.
         * publish_time_in_year: histogram by the
         [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
           in years.
           Must specify list of numeric buckets in spec.
         * degree_types: histogram by the
         [Job.degree_types][google.cloud.talent.v4beta1.Job.degree_types], for
         example,
           "Bachelors", "Masters".
         * job_level: histogram by the
         [Job.job_level][google.cloud.talent.v4beta1.Job.job_level], for example,
         "Entry
           Level".
         * country: histogram by the country code of jobs, for example, "US", "FR".
         * admin1: histogram by the admin1 code of jobs, which is a global
           placeholder referring to the state, province, or the particular term a
           country uses to define the geographic structure below the country level,
           for example, "CA", "IL".
         * city: histogram by a combination of the "city name, admin1 code". For
           example,  "Mountain View, CA", "New York, NY".
         * admin1_country: histogram by a combination of the "admin1 code, country",
           for example, "CA, US", "IL, US".
         * city_coordinate: histogram by the city center's GPS coordinates (latitude
           and longitude), for example, 37.4038522,-122.0987765. Since the
           coordinates of a city center can change, customers may need to refresh
           them periodically.
         * locale: histogram by the
         [Job.language_code][google.cloud.talent.v4beta1.Job.language_code], for
         example, "en-US",
           "fr-FR".
         * language: histogram by the language subtag of the
         [Job.language_code][google.cloud.talent.v4beta1.Job.language_code],
           for example, "en", "fr".
         * category: histogram by the
         [JobCategory][google.cloud.talent.v4beta1.JobCategory], for example,
           "COMPUTER_AND_IT", "HEALTHCARE".
         * base_compensation_unit: histogram by the
           [CompensationInfo.CompensationUnit][google.cloud.talent.v4beta1.CompensationInfo.CompensationUnit]
           of base salary, for example, "WEEKLY", "MONTHLY".
         * base_compensation: histogram by the base salary. Must specify list of
           numeric buckets to group results by.
         * annualized_base_compensation: histogram by the base annualized salary.
           Must specify list of numeric buckets to group results by.
         * annualized_total_compensation: histogram by the total annualized salary.
           Must specify list of numeric buckets to group results by.
         * string_custom_attribute: histogram by string
         [Job.custom_attributes][google.cloud.talent.v4beta1.Job.custom_attributes].
           Values can be accessed via square bracket notations like
           string_custom_attribute["key1"].
         * numeric_custom_attribute: histogram by numeric
         [Job.custom_attributes][google.cloud.talent.v4beta1.Job.custom_attributes].
           Values can be accessed via square bracket notations like
           numeric_custom_attribute["key1"]. Must specify list of numeric buckets to
           group results by.
        
         Example expressions:
        
         * `count(admin1)`
         * `count(base_compensation, [bucket(1000, 10000), bucket(10000, 100000),
         bucket(100000, MAX)])`
         * `count(string_custom_attribute["some-string-custom-attribute"])`
         * `count(numeric_custom_attribute["some-numeric-custom-attribute"],
           [bucket(MIN, 0, "negative"), bucket(0, MAX, "non-negative")])`
         
        repeated .google.cloud.talent.v4beta1.HistogramQuery histogram_queries = 7;
      • getHistogramQueriesBuilderList

        public List<HistogramQuery.Builder> getHistogramQueriesBuilderList()
         An expression specifies a histogram request against matching jobs.
        
         Expression syntax is an aggregation function call with histogram facets and
         other options.
        
         Available aggregation function calls are:
         * `count(string_histogram_facet)`: Count the number of matching entities,
         for each distinct attribute value.
         * `count(numeric_histogram_facet, list of buckets)`: Count the number of
         matching entities within each bucket.
        
         A maximum of 200 histogram buckets are supported.
        
         Data types:
        
         * Histogram facet: facet names with format `[a-zA-Z][a-zA-Z0-9_]+`.
         * String: string like "any string with backslash escape for quote(\")."
         * Number: whole number and floating point number like 10, -1 and -0.01.
         * List: list of elements with comma(,) separator surrounded by square
         brackets, for example, [1, 2, 3] and ["one", "two", "three"].
        
         Built-in constants:
        
         * MIN (minimum number similar to java Double.MIN_VALUE)
         * MAX (maximum number similar to java Double.MAX_VALUE)
        
         Built-in functions:
        
         * bucket(start, end[, label]): bucket built-in function creates a bucket
         with range of [start, end). Note that the end is exclusive, for example,
         bucket(1, MAX, "positive number") or bucket(1, 10).
        
         Job histogram facets:
        
         * company_display_name: histogram by
         [Job.company_display_name][google.cloud.talent.v4beta1.Job.company_display_name].
         * employment_type: histogram by
         [Job.employment_types][google.cloud.talent.v4beta1.Job.employment_types],
         for example,
           "FULL_TIME", "PART_TIME".
         * company_size (DEPRECATED): histogram by
         [CompanySize][google.cloud.talent.v4beta1.CompanySize], for example,
         "SMALL", "MEDIUM", "BIG".
         * publish_time_in_day: histogram by the
         [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
           in days.
           Must specify list of numeric buckets in spec.
         * publish_time_in_month: histogram by the
         [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
           in months.
           Must specify list of numeric buckets in spec.
         * publish_time_in_year: histogram by the
         [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
           in years.
           Must specify list of numeric buckets in spec.
         * degree_types: histogram by the
         [Job.degree_types][google.cloud.talent.v4beta1.Job.degree_types], for
         example,
           "Bachelors", "Masters".
         * job_level: histogram by the
         [Job.job_level][google.cloud.talent.v4beta1.Job.job_level], for example,
         "Entry
           Level".
         * country: histogram by the country code of jobs, for example, "US", "FR".
         * admin1: histogram by the admin1 code of jobs, which is a global
           placeholder referring to the state, province, or the particular term a
           country uses to define the geographic structure below the country level,
           for example, "CA", "IL".
         * city: histogram by a combination of the "city name, admin1 code". For
           example,  "Mountain View, CA", "New York, NY".
         * admin1_country: histogram by a combination of the "admin1 code, country",
           for example, "CA, US", "IL, US".
         * city_coordinate: histogram by the city center's GPS coordinates (latitude
           and longitude), for example, 37.4038522,-122.0987765. Since the
           coordinates of a city center can change, customers may need to refresh
           them periodically.
         * locale: histogram by the
         [Job.language_code][google.cloud.talent.v4beta1.Job.language_code], for
         example, "en-US",
           "fr-FR".
         * language: histogram by the language subtag of the
         [Job.language_code][google.cloud.talent.v4beta1.Job.language_code],
           for example, "en", "fr".
         * category: histogram by the
         [JobCategory][google.cloud.talent.v4beta1.JobCategory], for example,
           "COMPUTER_AND_IT", "HEALTHCARE".
         * base_compensation_unit: histogram by the
           [CompensationInfo.CompensationUnit][google.cloud.talent.v4beta1.CompensationInfo.CompensationUnit]
           of base salary, for example, "WEEKLY", "MONTHLY".
         * base_compensation: histogram by the base salary. Must specify list of
           numeric buckets to group results by.
         * annualized_base_compensation: histogram by the base annualized salary.
           Must specify list of numeric buckets to group results by.
         * annualized_total_compensation: histogram by the total annualized salary.
           Must specify list of numeric buckets to group results by.
         * string_custom_attribute: histogram by string
         [Job.custom_attributes][google.cloud.talent.v4beta1.Job.custom_attributes].
           Values can be accessed via square bracket notations like
           string_custom_attribute["key1"].
         * numeric_custom_attribute: histogram by numeric
         [Job.custom_attributes][google.cloud.talent.v4beta1.Job.custom_attributes].
           Values can be accessed via square bracket notations like
           numeric_custom_attribute["key1"]. Must specify list of numeric buckets to
           group results by.
        
         Example expressions:
        
         * `count(admin1)`
         * `count(base_compensation, [bucket(1000, 10000), bucket(10000, 100000),
         bucket(100000, MAX)])`
         * `count(string_custom_attribute["some-string-custom-attribute"])`
         * `count(numeric_custom_attribute["some-numeric-custom-attribute"],
           [bucket(MIN, 0, "negative"), bucket(0, MAX, "non-negative")])`
         
        repeated .google.cloud.talent.v4beta1.HistogramQuery histogram_queries = 7;
      • getJobViewValue

        public int getJobViewValue()
         The desired job attributes returned for jobs in the search response.
         Defaults to
         [JobView.JOB_VIEW_SMALL][google.cloud.talent.v4beta1.JobView.JOB_VIEW_SMALL]
         if no value is specified.
         
        .google.cloud.talent.v4beta1.JobView job_view = 8;
        Specified by:
        getJobViewValue in interface SearchJobsRequestOrBuilder
        Returns:
        The enum numeric value on the wire for jobView.
      • setJobViewValue

        public SearchJobsRequest.Builder setJobViewValue​(int value)
         The desired job attributes returned for jobs in the search response.
         Defaults to
         [JobView.JOB_VIEW_SMALL][google.cloud.talent.v4beta1.JobView.JOB_VIEW_SMALL]
         if no value is specified.
         
        .google.cloud.talent.v4beta1.JobView job_view = 8;
        Parameters:
        value - The enum numeric value on the wire for jobView to set.
        Returns:
        This builder for chaining.
      • getJobView

        public JobView getJobView()
         The desired job attributes returned for jobs in the search response.
         Defaults to
         [JobView.JOB_VIEW_SMALL][google.cloud.talent.v4beta1.JobView.JOB_VIEW_SMALL]
         if no value is specified.
         
        .google.cloud.talent.v4beta1.JobView job_view = 8;
        Specified by:
        getJobView in interface SearchJobsRequestOrBuilder
        Returns:
        The jobView.
      • setJobView

        public SearchJobsRequest.Builder setJobView​(JobView value)
         The desired job attributes returned for jobs in the search response.
         Defaults to
         [JobView.JOB_VIEW_SMALL][google.cloud.talent.v4beta1.JobView.JOB_VIEW_SMALL]
         if no value is specified.
         
        .google.cloud.talent.v4beta1.JobView job_view = 8;
        Parameters:
        value - The jobView to set.
        Returns:
        This builder for chaining.
      • clearJobView

        public SearchJobsRequest.Builder clearJobView()
         The desired job attributes returned for jobs in the search response.
         Defaults to
         [JobView.JOB_VIEW_SMALL][google.cloud.talent.v4beta1.JobView.JOB_VIEW_SMALL]
         if no value is specified.
         
        .google.cloud.talent.v4beta1.JobView job_view = 8;
        Returns:
        This builder for chaining.
      • getOffset

        public int getOffset()
         An integer that specifies the current offset (that is, starting result
         location, amongst the jobs deemed by the API as relevant) in search
         results. This field is only considered if
         [page_token][google.cloud.talent.v4beta1.SearchJobsRequest.page_token] is
         unset.
        
         The maximum allowed value is 5000. Otherwise an error is thrown.
        
         For example, 0 means to  return results starting from the first matching
         job, and 10 means to return from the 11th job. This can be used for
         pagination, (for example, pageSize = 10 and offset = 10 means to return
         from the second page).
         
        int32 offset = 9;
        Specified by:
        getOffset in interface SearchJobsRequestOrBuilder
        Returns:
        The offset.
      • setOffset

        public SearchJobsRequest.Builder setOffset​(int value)
         An integer that specifies the current offset (that is, starting result
         location, amongst the jobs deemed by the API as relevant) in search
         results. This field is only considered if
         [page_token][google.cloud.talent.v4beta1.SearchJobsRequest.page_token] is
         unset.
        
         The maximum allowed value is 5000. Otherwise an error is thrown.
        
         For example, 0 means to  return results starting from the first matching
         job, and 10 means to return from the 11th job. This can be used for
         pagination, (for example, pageSize = 10 and offset = 10 means to return
         from the second page).
         
        int32 offset = 9;
        Parameters:
        value - The offset to set.
        Returns:
        This builder for chaining.
      • clearOffset

        public SearchJobsRequest.Builder clearOffset()
         An integer that specifies the current offset (that is, starting result
         location, amongst the jobs deemed by the API as relevant) in search
         results. This field is only considered if
         [page_token][google.cloud.talent.v4beta1.SearchJobsRequest.page_token] is
         unset.
        
         The maximum allowed value is 5000. Otherwise an error is thrown.
        
         For example, 0 means to  return results starting from the first matching
         job, and 10 means to return from the 11th job. This can be used for
         pagination, (for example, pageSize = 10 and offset = 10 means to return
         from the second page).
         
        int32 offset = 9;
        Returns:
        This builder for chaining.
      • getPageSize

        public int getPageSize()
         A limit on the number of jobs returned in the search results.
         Increasing this value above the default value of 10 can increase search
         response time. The value can be between 1 and 100.
         
        int32 page_size = 10;
        Specified by:
        getPageSize in interface SearchJobsRequestOrBuilder
        Returns:
        The pageSize.
      • setPageSize

        public SearchJobsRequest.Builder setPageSize​(int value)
         A limit on the number of jobs returned in the search results.
         Increasing this value above the default value of 10 can increase search
         response time. The value can be between 1 and 100.
         
        int32 page_size = 10;
        Parameters:
        value - The pageSize to set.
        Returns:
        This builder for chaining.
      • clearPageSize

        public SearchJobsRequest.Builder clearPageSize()
         A limit on the number of jobs returned in the search results.
         Increasing this value above the default value of 10 can increase search
         response time. The value can be between 1 and 100.
         
        int32 page_size = 10;
        Returns:
        This builder for chaining.
      • getPageToken

        public String getPageToken()
         The token specifying the current offset within
         search results. See
         [SearchJobsResponse.next_page_token][google.cloud.talent.v4beta1.SearchJobsResponse.next_page_token]
         for an explanation of how to obtain the next set of query results.
         
        string page_token = 11;
        Specified by:
        getPageToken in interface SearchJobsRequestOrBuilder
        Returns:
        The pageToken.
      • getPageTokenBytes

        public com.google.protobuf.ByteString getPageTokenBytes()
         The token specifying the current offset within
         search results. See
         [SearchJobsResponse.next_page_token][google.cloud.talent.v4beta1.SearchJobsResponse.next_page_token]
         for an explanation of how to obtain the next set of query results.
         
        string page_token = 11;
        Specified by:
        getPageTokenBytes in interface SearchJobsRequestOrBuilder
        Returns:
        The bytes for pageToken.
      • setPageToken

        public SearchJobsRequest.Builder setPageToken​(String value)
         The token specifying the current offset within
         search results. See
         [SearchJobsResponse.next_page_token][google.cloud.talent.v4beta1.SearchJobsResponse.next_page_token]
         for an explanation of how to obtain the next set of query results.
         
        string page_token = 11;
        Parameters:
        value - The pageToken to set.
        Returns:
        This builder for chaining.
      • clearPageToken

        public SearchJobsRequest.Builder clearPageToken()
         The token specifying the current offset within
         search results. See
         [SearchJobsResponse.next_page_token][google.cloud.talent.v4beta1.SearchJobsResponse.next_page_token]
         for an explanation of how to obtain the next set of query results.
         
        string page_token = 11;
        Returns:
        This builder for chaining.
      • setPageTokenBytes

        public SearchJobsRequest.Builder setPageTokenBytes​(com.google.protobuf.ByteString value)
         The token specifying the current offset within
         search results. See
         [SearchJobsResponse.next_page_token][google.cloud.talent.v4beta1.SearchJobsResponse.next_page_token]
         for an explanation of how to obtain the next set of query results.
         
        string page_token = 11;
        Parameters:
        value - The bytes for pageToken to set.
        Returns:
        This builder for chaining.
      • getOrderBy

        public String getOrderBy()
         The criteria determining how search results are sorted. Default is
         `"relevance desc"`.
        
         Supported options are:
        
         * `"relevance desc"`: By relevance descending, as determined by the API
           algorithms. Relevance thresholding of query results is only available
           with this ordering.
         * `"posting_publish_time desc"`: By
         [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
           descending.
         * `"posting_update_time desc"`: By
         [Job.posting_update_time][google.cloud.talent.v4beta1.Job.posting_update_time]
           descending.
         * `"title"`: By [Job.title][google.cloud.talent.v4beta1.Job.title]
         ascending.
         * `"title desc"`: By [Job.title][google.cloud.talent.v4beta1.Job.title]
         descending.
         * `"annualized_base_compensation"`: By job's
           [CompensationInfo.annualized_base_compensation_range][google.cloud.talent.v4beta1.CompensationInfo.annualized_base_compensation_range]
           ascending. Jobs whose annualized base compensation is unspecified are put
           at the end of search results.
         * `"annualized_base_compensation desc"`: By job's
           [CompensationInfo.annualized_base_compensation_range][google.cloud.talent.v4beta1.CompensationInfo.annualized_base_compensation_range]
           descending. Jobs whose annualized base compensation is unspecified are
           put at the end of search results.
         * `"annualized_total_compensation"`: By job's
           [CompensationInfo.annualized_total_compensation_range][google.cloud.talent.v4beta1.CompensationInfo.annualized_total_compensation_range]
           ascending. Jobs whose annualized base compensation is unspecified are put
           at the end of search results.
         * `"annualized_total_compensation desc"`: By job's
           [CompensationInfo.annualized_total_compensation_range][google.cloud.talent.v4beta1.CompensationInfo.annualized_total_compensation_range]
           descending. Jobs whose annualized base compensation is unspecified are
           put at the end of search results.
         * `"custom_ranking desc"`: By the relevance score adjusted to the
           [SearchJobsRequest.CustomRankingInfo.ranking_expression][google.cloud.talent.v4beta1.SearchJobsRequest.CustomRankingInfo.ranking_expression]
           with weight factor assigned by
           [SearchJobsRequest.CustomRankingInfo.importance_level][google.cloud.talent.v4beta1.SearchJobsRequest.CustomRankingInfo.importance_level]
           in descending order.
         * Location sorting: Use the special syntax to order jobs by distance:<br>
           `"distance_from('Hawaii')"`: Order by distance from Hawaii.<br>
           `"distance_from(19.89, 155.5)"`: Order by distance from a coordinate.<br>
           `"distance_from('Hawaii'), distance_from('Puerto Rico')"`: Order by
           multiple locations. See details below.<br>
           `"distance_from('Hawaii'), distance_from(19.89, 155.5)"`: Order by
           multiple locations. See details below.<br>
           The string can have a maximum of 256 characters. When multiple distance
           centers are provided, a job that is close to any of the distance centers
           would have a high rank. When a job has multiple locations, the job
           location closest to one of the distance centers will be used. Jobs that
           don't have locations will be ranked at the bottom. Distance is calculated
           with a precision of 11.3 meters (37.4 feet). Diversification strategy is
           still applied unless explicitly disabled in
           [diversification_level][google.cloud.talent.v4beta1.SearchJobsRequest.diversification_level].
         
        string order_by = 12;
        Specified by:
        getOrderBy in interface SearchJobsRequestOrBuilder
        Returns:
        The orderBy.
      • getOrderByBytes

        public com.google.protobuf.ByteString getOrderByBytes()
         The criteria determining how search results are sorted. Default is
         `"relevance desc"`.
        
         Supported options are:
        
         * `"relevance desc"`: By relevance descending, as determined by the API
           algorithms. Relevance thresholding of query results is only available
           with this ordering.
         * `"posting_publish_time desc"`: By
         [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
           descending.
         * `"posting_update_time desc"`: By
         [Job.posting_update_time][google.cloud.talent.v4beta1.Job.posting_update_time]
           descending.
         * `"title"`: By [Job.title][google.cloud.talent.v4beta1.Job.title]
         ascending.
         * `"title desc"`: By [Job.title][google.cloud.talent.v4beta1.Job.title]
         descending.
         * `"annualized_base_compensation"`: By job's
           [CompensationInfo.annualized_base_compensation_range][google.cloud.talent.v4beta1.CompensationInfo.annualized_base_compensation_range]
           ascending. Jobs whose annualized base compensation is unspecified are put
           at the end of search results.
         * `"annualized_base_compensation desc"`: By job's
           [CompensationInfo.annualized_base_compensation_range][google.cloud.talent.v4beta1.CompensationInfo.annualized_base_compensation_range]
           descending. Jobs whose annualized base compensation is unspecified are
           put at the end of search results.
         * `"annualized_total_compensation"`: By job's
           [CompensationInfo.annualized_total_compensation_range][google.cloud.talent.v4beta1.CompensationInfo.annualized_total_compensation_range]
           ascending. Jobs whose annualized base compensation is unspecified are put
           at the end of search results.
         * `"annualized_total_compensation desc"`: By job's
           [CompensationInfo.annualized_total_compensation_range][google.cloud.talent.v4beta1.CompensationInfo.annualized_total_compensation_range]
           descending. Jobs whose annualized base compensation is unspecified are
           put at the end of search results.
         * `"custom_ranking desc"`: By the relevance score adjusted to the
           [SearchJobsRequest.CustomRankingInfo.ranking_expression][google.cloud.talent.v4beta1.SearchJobsRequest.CustomRankingInfo.ranking_expression]
           with weight factor assigned by
           [SearchJobsRequest.CustomRankingInfo.importance_level][google.cloud.talent.v4beta1.SearchJobsRequest.CustomRankingInfo.importance_level]
           in descending order.
         * Location sorting: Use the special syntax to order jobs by distance:<br>
           `"distance_from('Hawaii')"`: Order by distance from Hawaii.<br>
           `"distance_from(19.89, 155.5)"`: Order by distance from a coordinate.<br>
           `"distance_from('Hawaii'), distance_from('Puerto Rico')"`: Order by
           multiple locations. See details below.<br>
           `"distance_from('Hawaii'), distance_from(19.89, 155.5)"`: Order by
           multiple locations. See details below.<br>
           The string can have a maximum of 256 characters. When multiple distance
           centers are provided, a job that is close to any of the distance centers
           would have a high rank. When a job has multiple locations, the job
           location closest to one of the distance centers will be used. Jobs that
           don't have locations will be ranked at the bottom. Distance is calculated
           with a precision of 11.3 meters (37.4 feet). Diversification strategy is
           still applied unless explicitly disabled in
           [diversification_level][google.cloud.talent.v4beta1.SearchJobsRequest.diversification_level].
         
        string order_by = 12;
        Specified by:
        getOrderByBytes in interface SearchJobsRequestOrBuilder
        Returns:
        The bytes for orderBy.
      • setOrderBy

        public SearchJobsRequest.Builder setOrderBy​(String value)
         The criteria determining how search results are sorted. Default is
         `"relevance desc"`.
        
         Supported options are:
        
         * `"relevance desc"`: By relevance descending, as determined by the API
           algorithms. Relevance thresholding of query results is only available
           with this ordering.
         * `"posting_publish_time desc"`: By
         [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
           descending.
         * `"posting_update_time desc"`: By
         [Job.posting_update_time][google.cloud.talent.v4beta1.Job.posting_update_time]
           descending.
         * `"title"`: By [Job.title][google.cloud.talent.v4beta1.Job.title]
         ascending.
         * `"title desc"`: By [Job.title][google.cloud.talent.v4beta1.Job.title]
         descending.
         * `"annualized_base_compensation"`: By job's
           [CompensationInfo.annualized_base_compensation_range][google.cloud.talent.v4beta1.CompensationInfo.annualized_base_compensation_range]
           ascending. Jobs whose annualized base compensation is unspecified are put
           at the end of search results.
         * `"annualized_base_compensation desc"`: By job's
           [CompensationInfo.annualized_base_compensation_range][google.cloud.talent.v4beta1.CompensationInfo.annualized_base_compensation_range]
           descending. Jobs whose annualized base compensation is unspecified are
           put at the end of search results.
         * `"annualized_total_compensation"`: By job's
           [CompensationInfo.annualized_total_compensation_range][google.cloud.talent.v4beta1.CompensationInfo.annualized_total_compensation_range]
           ascending. Jobs whose annualized base compensation is unspecified are put
           at the end of search results.
         * `"annualized_total_compensation desc"`: By job's
           [CompensationInfo.annualized_total_compensation_range][google.cloud.talent.v4beta1.CompensationInfo.annualized_total_compensation_range]
           descending. Jobs whose annualized base compensation is unspecified are
           put at the end of search results.
         * `"custom_ranking desc"`: By the relevance score adjusted to the
           [SearchJobsRequest.CustomRankingInfo.ranking_expression][google.cloud.talent.v4beta1.SearchJobsRequest.CustomRankingInfo.ranking_expression]
           with weight factor assigned by
           [SearchJobsRequest.CustomRankingInfo.importance_level][google.cloud.talent.v4beta1.SearchJobsRequest.CustomRankingInfo.importance_level]
           in descending order.
         * Location sorting: Use the special syntax to order jobs by distance:<br>
           `"distance_from('Hawaii')"`: Order by distance from Hawaii.<br>
           `"distance_from(19.89, 155.5)"`: Order by distance from a coordinate.<br>
           `"distance_from('Hawaii'), distance_from('Puerto Rico')"`: Order by
           multiple locations. See details below.<br>
           `"distance_from('Hawaii'), distance_from(19.89, 155.5)"`: Order by
           multiple locations. See details below.<br>
           The string can have a maximum of 256 characters. When multiple distance
           centers are provided, a job that is close to any of the distance centers
           would have a high rank. When a job has multiple locations, the job
           location closest to one of the distance centers will be used. Jobs that
           don't have locations will be ranked at the bottom. Distance is calculated
           with a precision of 11.3 meters (37.4 feet). Diversification strategy is
           still applied unless explicitly disabled in
           [diversification_level][google.cloud.talent.v4beta1.SearchJobsRequest.diversification_level].
         
        string order_by = 12;
        Parameters:
        value - The orderBy to set.
        Returns:
        This builder for chaining.
      • clearOrderBy

        public SearchJobsRequest.Builder clearOrderBy()
         The criteria determining how search results are sorted. Default is
         `"relevance desc"`.
        
         Supported options are:
        
         * `"relevance desc"`: By relevance descending, as determined by the API
           algorithms. Relevance thresholding of query results is only available
           with this ordering.
         * `"posting_publish_time desc"`: By
         [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
           descending.
         * `"posting_update_time desc"`: By
         [Job.posting_update_time][google.cloud.talent.v4beta1.Job.posting_update_time]
           descending.
         * `"title"`: By [Job.title][google.cloud.talent.v4beta1.Job.title]
         ascending.
         * `"title desc"`: By [Job.title][google.cloud.talent.v4beta1.Job.title]
         descending.
         * `"annualized_base_compensation"`: By job's
           [CompensationInfo.annualized_base_compensation_range][google.cloud.talent.v4beta1.CompensationInfo.annualized_base_compensation_range]
           ascending. Jobs whose annualized base compensation is unspecified are put
           at the end of search results.
         * `"annualized_base_compensation desc"`: By job's
           [CompensationInfo.annualized_base_compensation_range][google.cloud.talent.v4beta1.CompensationInfo.annualized_base_compensation_range]
           descending. Jobs whose annualized base compensation is unspecified are
           put at the end of search results.
         * `"annualized_total_compensation"`: By job's
           [CompensationInfo.annualized_total_compensation_range][google.cloud.talent.v4beta1.CompensationInfo.annualized_total_compensation_range]
           ascending. Jobs whose annualized base compensation is unspecified are put
           at the end of search results.
         * `"annualized_total_compensation desc"`: By job's
           [CompensationInfo.annualized_total_compensation_range][google.cloud.talent.v4beta1.CompensationInfo.annualized_total_compensation_range]
           descending. Jobs whose annualized base compensation is unspecified are
           put at the end of search results.
         * `"custom_ranking desc"`: By the relevance score adjusted to the
           [SearchJobsRequest.CustomRankingInfo.ranking_expression][google.cloud.talent.v4beta1.SearchJobsRequest.CustomRankingInfo.ranking_expression]
           with weight factor assigned by
           [SearchJobsRequest.CustomRankingInfo.importance_level][google.cloud.talent.v4beta1.SearchJobsRequest.CustomRankingInfo.importance_level]
           in descending order.
         * Location sorting: Use the special syntax to order jobs by distance:<br>
           `"distance_from('Hawaii')"`: Order by distance from Hawaii.<br>
           `"distance_from(19.89, 155.5)"`: Order by distance from a coordinate.<br>
           `"distance_from('Hawaii'), distance_from('Puerto Rico')"`: Order by
           multiple locations. See details below.<br>
           `"distance_from('Hawaii'), distance_from(19.89, 155.5)"`: Order by
           multiple locations. See details below.<br>
           The string can have a maximum of 256 characters. When multiple distance
           centers are provided, a job that is close to any of the distance centers
           would have a high rank. When a job has multiple locations, the job
           location closest to one of the distance centers will be used. Jobs that
           don't have locations will be ranked at the bottom. Distance is calculated
           with a precision of 11.3 meters (37.4 feet). Diversification strategy is
           still applied unless explicitly disabled in
           [diversification_level][google.cloud.talent.v4beta1.SearchJobsRequest.diversification_level].
         
        string order_by = 12;
        Returns:
        This builder for chaining.
      • setOrderByBytes

        public SearchJobsRequest.Builder setOrderByBytes​(com.google.protobuf.ByteString value)
         The criteria determining how search results are sorted. Default is
         `"relevance desc"`.
        
         Supported options are:
        
         * `"relevance desc"`: By relevance descending, as determined by the API
           algorithms. Relevance thresholding of query results is only available
           with this ordering.
         * `"posting_publish_time desc"`: By
         [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
           descending.
         * `"posting_update_time desc"`: By
         [Job.posting_update_time][google.cloud.talent.v4beta1.Job.posting_update_time]
           descending.
         * `"title"`: By [Job.title][google.cloud.talent.v4beta1.Job.title]
         ascending.
         * `"title desc"`: By [Job.title][google.cloud.talent.v4beta1.Job.title]
         descending.
         * `"annualized_base_compensation"`: By job's
           [CompensationInfo.annualized_base_compensation_range][google.cloud.talent.v4beta1.CompensationInfo.annualized_base_compensation_range]
           ascending. Jobs whose annualized base compensation is unspecified are put
           at the end of search results.
         * `"annualized_base_compensation desc"`: By job's
           [CompensationInfo.annualized_base_compensation_range][google.cloud.talent.v4beta1.CompensationInfo.annualized_base_compensation_range]
           descending. Jobs whose annualized base compensation is unspecified are
           put at the end of search results.
         * `"annualized_total_compensation"`: By job's
           [CompensationInfo.annualized_total_compensation_range][google.cloud.talent.v4beta1.CompensationInfo.annualized_total_compensation_range]
           ascending. Jobs whose annualized base compensation is unspecified are put
           at the end of search results.
         * `"annualized_total_compensation desc"`: By job's
           [CompensationInfo.annualized_total_compensation_range][google.cloud.talent.v4beta1.CompensationInfo.annualized_total_compensation_range]
           descending. Jobs whose annualized base compensation is unspecified are
           put at the end of search results.
         * `"custom_ranking desc"`: By the relevance score adjusted to the
           [SearchJobsRequest.CustomRankingInfo.ranking_expression][google.cloud.talent.v4beta1.SearchJobsRequest.CustomRankingInfo.ranking_expression]
           with weight factor assigned by
           [SearchJobsRequest.CustomRankingInfo.importance_level][google.cloud.talent.v4beta1.SearchJobsRequest.CustomRankingInfo.importance_level]
           in descending order.
         * Location sorting: Use the special syntax to order jobs by distance:<br>
           `"distance_from('Hawaii')"`: Order by distance from Hawaii.<br>
           `"distance_from(19.89, 155.5)"`: Order by distance from a coordinate.<br>
           `"distance_from('Hawaii'), distance_from('Puerto Rico')"`: Order by
           multiple locations. See details below.<br>
           `"distance_from('Hawaii'), distance_from(19.89, 155.5)"`: Order by
           multiple locations. See details below.<br>
           The string can have a maximum of 256 characters. When multiple distance
           centers are provided, a job that is close to any of the distance centers
           would have a high rank. When a job has multiple locations, the job
           location closest to one of the distance centers will be used. Jobs that
           don't have locations will be ranked at the bottom. Distance is calculated
           with a precision of 11.3 meters (37.4 feet). Diversification strategy is
           still applied unless explicitly disabled in
           [diversification_level][google.cloud.talent.v4beta1.SearchJobsRequest.diversification_level].
         
        string order_by = 12;
        Parameters:
        value - The bytes for orderBy to set.
        Returns:
        This builder for chaining.
      • getDiversificationLevelValue

        public int getDiversificationLevelValue()
         Controls whether highly similar jobs are returned next to each other in
         the search results. Jobs are identified as highly similar based on
         their titles, job categories, and locations. Highly similar results are
         clustered so that only one representative job of the cluster is
         displayed to the job seeker higher up in the results, with the other jobs
         being displayed lower down in the results.
        
         Defaults to
         [DiversificationLevel.SIMPLE][google.cloud.talent.v4beta1.SearchJobsRequest.DiversificationLevel.SIMPLE]
         if no value is specified.
         
        .google.cloud.talent.v4beta1.SearchJobsRequest.DiversificationLevel diversification_level = 13;
        Specified by:
        getDiversificationLevelValue in interface SearchJobsRequestOrBuilder
        Returns:
        The enum numeric value on the wire for diversificationLevel.
      • setDiversificationLevelValue

        public SearchJobsRequest.Builder setDiversificationLevelValue​(int value)
         Controls whether highly similar jobs are returned next to each other in
         the search results. Jobs are identified as highly similar based on
         their titles, job categories, and locations. Highly similar results are
         clustered so that only one representative job of the cluster is
         displayed to the job seeker higher up in the results, with the other jobs
         being displayed lower down in the results.
        
         Defaults to
         [DiversificationLevel.SIMPLE][google.cloud.talent.v4beta1.SearchJobsRequest.DiversificationLevel.SIMPLE]
         if no value is specified.
         
        .google.cloud.talent.v4beta1.SearchJobsRequest.DiversificationLevel diversification_level = 13;
        Parameters:
        value - The enum numeric value on the wire for diversificationLevel to set.
        Returns:
        This builder for chaining.
      • getDiversificationLevel

        public SearchJobsRequest.DiversificationLevel getDiversificationLevel()
         Controls whether highly similar jobs are returned next to each other in
         the search results. Jobs are identified as highly similar based on
         their titles, job categories, and locations. Highly similar results are
         clustered so that only one representative job of the cluster is
         displayed to the job seeker higher up in the results, with the other jobs
         being displayed lower down in the results.
        
         Defaults to
         [DiversificationLevel.SIMPLE][google.cloud.talent.v4beta1.SearchJobsRequest.DiversificationLevel.SIMPLE]
         if no value is specified.
         
        .google.cloud.talent.v4beta1.SearchJobsRequest.DiversificationLevel diversification_level = 13;
        Specified by:
        getDiversificationLevel in interface SearchJobsRequestOrBuilder
        Returns:
        The diversificationLevel.
      • setDiversificationLevel

        public SearchJobsRequest.Builder setDiversificationLevel​(SearchJobsRequest.DiversificationLevel value)
         Controls whether highly similar jobs are returned next to each other in
         the search results. Jobs are identified as highly similar based on
         their titles, job categories, and locations. Highly similar results are
         clustered so that only one representative job of the cluster is
         displayed to the job seeker higher up in the results, with the other jobs
         being displayed lower down in the results.
        
         Defaults to
         [DiversificationLevel.SIMPLE][google.cloud.talent.v4beta1.SearchJobsRequest.DiversificationLevel.SIMPLE]
         if no value is specified.
         
        .google.cloud.talent.v4beta1.SearchJobsRequest.DiversificationLevel diversification_level = 13;
        Parameters:
        value - The diversificationLevel to set.
        Returns:
        This builder for chaining.
      • clearDiversificationLevel

        public SearchJobsRequest.Builder clearDiversificationLevel()
         Controls whether highly similar jobs are returned next to each other in
         the search results. Jobs are identified as highly similar based on
         their titles, job categories, and locations. Highly similar results are
         clustered so that only one representative job of the cluster is
         displayed to the job seeker higher up in the results, with the other jobs
         being displayed lower down in the results.
        
         Defaults to
         [DiversificationLevel.SIMPLE][google.cloud.talent.v4beta1.SearchJobsRequest.DiversificationLevel.SIMPLE]
         if no value is specified.
         
        .google.cloud.talent.v4beta1.SearchJobsRequest.DiversificationLevel diversification_level = 13;
        Returns:
        This builder for chaining.
      • hasCustomRankingInfo

        public boolean hasCustomRankingInfo()
         Controls over how job documents get ranked on top of existing relevance
         score (determined by API algorithm).
         
        .google.cloud.talent.v4beta1.SearchJobsRequest.CustomRankingInfo custom_ranking_info = 14;
        Specified by:
        hasCustomRankingInfo in interface SearchJobsRequestOrBuilder
        Returns:
        Whether the customRankingInfo field is set.
      • setCustomRankingInfo

        public SearchJobsRequest.Builder setCustomRankingInfo​(SearchJobsRequest.CustomRankingInfo value)
         Controls over how job documents get ranked on top of existing relevance
         score (determined by API algorithm).
         
        .google.cloud.talent.v4beta1.SearchJobsRequest.CustomRankingInfo custom_ranking_info = 14;
      • setCustomRankingInfo

        public SearchJobsRequest.Builder setCustomRankingInfo​(SearchJobsRequest.CustomRankingInfo.Builder builderForValue)
         Controls over how job documents get ranked on top of existing relevance
         score (determined by API algorithm).
         
        .google.cloud.talent.v4beta1.SearchJobsRequest.CustomRankingInfo custom_ranking_info = 14;
      • mergeCustomRankingInfo

        public SearchJobsRequest.Builder mergeCustomRankingInfo​(SearchJobsRequest.CustomRankingInfo value)
         Controls over how job documents get ranked on top of existing relevance
         score (determined by API algorithm).
         
        .google.cloud.talent.v4beta1.SearchJobsRequest.CustomRankingInfo custom_ranking_info = 14;
      • clearCustomRankingInfo

        public SearchJobsRequest.Builder clearCustomRankingInfo()
         Controls over how job documents get ranked on top of existing relevance
         score (determined by API algorithm).
         
        .google.cloud.talent.v4beta1.SearchJobsRequest.CustomRankingInfo custom_ranking_info = 14;
      • getCustomRankingInfoBuilder

        public SearchJobsRequest.CustomRankingInfo.Builder getCustomRankingInfoBuilder()
         Controls over how job documents get ranked on top of existing relevance
         score (determined by API algorithm).
         
        .google.cloud.talent.v4beta1.SearchJobsRequest.CustomRankingInfo custom_ranking_info = 14;
      • getDisableKeywordMatch

        public boolean getDisableKeywordMatch()
         This field is deprecated. Please use
         [SearchJobsRequest.keyword_match_mode][google.cloud.talent.v4beta1.SearchJobsRequest.keyword_match_mode]
         going forward.
        
         To migrate, disable_keyword_match set to false maps to
         [KeywordMatchMode.KEYWORD_MATCH_ALL][google.cloud.talent.v4beta1.SearchJobsRequest.KeywordMatchMode.KEYWORD_MATCH_ALL],
         and disable_keyword_match set to true maps to
         [KeywordMatchMode.KEYWORD_MATCH_DISABLED][google.cloud.talent.v4beta1.SearchJobsRequest.KeywordMatchMode.KEYWORD_MATCH_DISABLED].
         If
         [SearchJobsRequest.keyword_match_mode][google.cloud.talent.v4beta1.SearchJobsRequest.keyword_match_mode]
         is set, this field is ignored.
        
         Controls whether to disable exact keyword match on
         [Job.title][google.cloud.talent.v4beta1.Job.title],
         [Job.description][google.cloud.talent.v4beta1.Job.description],
         [Job.company_display_name][google.cloud.talent.v4beta1.Job.company_display_name],
         [Job.addresses][google.cloud.talent.v4beta1.Job.addresses],
         [Job.qualifications][google.cloud.talent.v4beta1.Job.qualifications]. When
         disable keyword match is turned off, a keyword match returns jobs that do
         not match given category filters when there are matching keywords. For
         example, for the query "program manager," a result is returned even if the
         job posting has the title "software developer," which doesn't fall into
         "program manager" ontology, but does have "program manager" appearing in
         its description.
        
         For queries like "cloud" that don't contain title or
         location specific ontology, jobs with "cloud" keyword matches are returned
         regardless of this flag's value.
        
         Use
         [Company.keyword_searchable_job_custom_attributes][google.cloud.talent.v4beta1.Company.keyword_searchable_job_custom_attributes]
         if company-specific globally matched custom field/attribute string values
         are needed. Enabling keyword match improves recall of subsequent search
         requests.
        
         Defaults to false.
         
        bool disable_keyword_match = 16;
        Specified by:
        getDisableKeywordMatch in interface SearchJobsRequestOrBuilder
        Returns:
        The disableKeywordMatch.
      • setDisableKeywordMatch

        public SearchJobsRequest.Builder setDisableKeywordMatch​(boolean value)
         This field is deprecated. Please use
         [SearchJobsRequest.keyword_match_mode][google.cloud.talent.v4beta1.SearchJobsRequest.keyword_match_mode]
         going forward.
        
         To migrate, disable_keyword_match set to false maps to
         [KeywordMatchMode.KEYWORD_MATCH_ALL][google.cloud.talent.v4beta1.SearchJobsRequest.KeywordMatchMode.KEYWORD_MATCH_ALL],
         and disable_keyword_match set to true maps to
         [KeywordMatchMode.KEYWORD_MATCH_DISABLED][google.cloud.talent.v4beta1.SearchJobsRequest.KeywordMatchMode.KEYWORD_MATCH_DISABLED].
         If
         [SearchJobsRequest.keyword_match_mode][google.cloud.talent.v4beta1.SearchJobsRequest.keyword_match_mode]
         is set, this field is ignored.
        
         Controls whether to disable exact keyword match on
         [Job.title][google.cloud.talent.v4beta1.Job.title],
         [Job.description][google.cloud.talent.v4beta1.Job.description],
         [Job.company_display_name][google.cloud.talent.v4beta1.Job.company_display_name],
         [Job.addresses][google.cloud.talent.v4beta1.Job.addresses],
         [Job.qualifications][google.cloud.talent.v4beta1.Job.qualifications]. When
         disable keyword match is turned off, a keyword match returns jobs that do
         not match given category filters when there are matching keywords. For
         example, for the query "program manager," a result is returned even if the
         job posting has the title "software developer," which doesn't fall into
         "program manager" ontology, but does have "program manager" appearing in
         its description.
        
         For queries like "cloud" that don't contain title or
         location specific ontology, jobs with "cloud" keyword matches are returned
         regardless of this flag's value.
        
         Use
         [Company.keyword_searchable_job_custom_attributes][google.cloud.talent.v4beta1.Company.keyword_searchable_job_custom_attributes]
         if company-specific globally matched custom field/attribute string values
         are needed. Enabling keyword match improves recall of subsequent search
         requests.
        
         Defaults to false.
         
        bool disable_keyword_match = 16;
        Parameters:
        value - The disableKeywordMatch to set.
        Returns:
        This builder for chaining.
      • clearDisableKeywordMatch

        public SearchJobsRequest.Builder clearDisableKeywordMatch()
         This field is deprecated. Please use
         [SearchJobsRequest.keyword_match_mode][google.cloud.talent.v4beta1.SearchJobsRequest.keyword_match_mode]
         going forward.
        
         To migrate, disable_keyword_match set to false maps to
         [KeywordMatchMode.KEYWORD_MATCH_ALL][google.cloud.talent.v4beta1.SearchJobsRequest.KeywordMatchMode.KEYWORD_MATCH_ALL],
         and disable_keyword_match set to true maps to
         [KeywordMatchMode.KEYWORD_MATCH_DISABLED][google.cloud.talent.v4beta1.SearchJobsRequest.KeywordMatchMode.KEYWORD_MATCH_DISABLED].
         If
         [SearchJobsRequest.keyword_match_mode][google.cloud.talent.v4beta1.SearchJobsRequest.keyword_match_mode]
         is set, this field is ignored.
        
         Controls whether to disable exact keyword match on
         [Job.title][google.cloud.talent.v4beta1.Job.title],
         [Job.description][google.cloud.talent.v4beta1.Job.description],
         [Job.company_display_name][google.cloud.talent.v4beta1.Job.company_display_name],
         [Job.addresses][google.cloud.talent.v4beta1.Job.addresses],
         [Job.qualifications][google.cloud.talent.v4beta1.Job.qualifications]. When
         disable keyword match is turned off, a keyword match returns jobs that do
         not match given category filters when there are matching keywords. For
         example, for the query "program manager," a result is returned even if the
         job posting has the title "software developer," which doesn't fall into
         "program manager" ontology, but does have "program manager" appearing in
         its description.
        
         For queries like "cloud" that don't contain title or
         location specific ontology, jobs with "cloud" keyword matches are returned
         regardless of this flag's value.
        
         Use
         [Company.keyword_searchable_job_custom_attributes][google.cloud.talent.v4beta1.Company.keyword_searchable_job_custom_attributes]
         if company-specific globally matched custom field/attribute string values
         are needed. Enabling keyword match improves recall of subsequent search
         requests.
        
         Defaults to false.
         
        bool disable_keyword_match = 16;
        Returns:
        This builder for chaining.
      • getKeywordMatchModeValue

        public int getKeywordMatchModeValue()
         Controls what keyword match options to use.
        
         Defaults to
         [KeywordMatchMode.KEYWORD_MATCH_ALL][google.cloud.talent.v4beta1.SearchJobsRequest.KeywordMatchMode.KEYWORD_MATCH_ALL]
         if no value is specified.
         
        .google.cloud.talent.v4beta1.SearchJobsRequest.KeywordMatchMode keyword_match_mode = 18;
        Specified by:
        getKeywordMatchModeValue in interface SearchJobsRequestOrBuilder
        Returns:
        The enum numeric value on the wire for keywordMatchMode.
      • setKeywordMatchModeValue

        public SearchJobsRequest.Builder setKeywordMatchModeValue​(int value)
         Controls what keyword match options to use.
        
         Defaults to
         [KeywordMatchMode.KEYWORD_MATCH_ALL][google.cloud.talent.v4beta1.SearchJobsRequest.KeywordMatchMode.KEYWORD_MATCH_ALL]
         if no value is specified.
         
        .google.cloud.talent.v4beta1.SearchJobsRequest.KeywordMatchMode keyword_match_mode = 18;
        Parameters:
        value - The enum numeric value on the wire for keywordMatchMode to set.
        Returns:
        This builder for chaining.
      • getKeywordMatchMode

        public SearchJobsRequest.KeywordMatchMode getKeywordMatchMode()
         Controls what keyword match options to use.
        
         Defaults to
         [KeywordMatchMode.KEYWORD_MATCH_ALL][google.cloud.talent.v4beta1.SearchJobsRequest.KeywordMatchMode.KEYWORD_MATCH_ALL]
         if no value is specified.
         
        .google.cloud.talent.v4beta1.SearchJobsRequest.KeywordMatchMode keyword_match_mode = 18;
        Specified by:
        getKeywordMatchMode in interface SearchJobsRequestOrBuilder
        Returns:
        The keywordMatchMode.
      • setKeywordMatchMode

        public SearchJobsRequest.Builder setKeywordMatchMode​(SearchJobsRequest.KeywordMatchMode value)
         Controls what keyword match options to use.
        
         Defaults to
         [KeywordMatchMode.KEYWORD_MATCH_ALL][google.cloud.talent.v4beta1.SearchJobsRequest.KeywordMatchMode.KEYWORD_MATCH_ALL]
         if no value is specified.
         
        .google.cloud.talent.v4beta1.SearchJobsRequest.KeywordMatchMode keyword_match_mode = 18;
        Parameters:
        value - The keywordMatchMode to set.
        Returns:
        This builder for chaining.
      • clearKeywordMatchMode

        public SearchJobsRequest.Builder clearKeywordMatchMode()
         Controls what keyword match options to use.
        
         Defaults to
         [KeywordMatchMode.KEYWORD_MATCH_ALL][google.cloud.talent.v4beta1.SearchJobsRequest.KeywordMatchMode.KEYWORD_MATCH_ALL]
         if no value is specified.
         
        .google.cloud.talent.v4beta1.SearchJobsRequest.KeywordMatchMode keyword_match_mode = 18;
        Returns:
        This builder for chaining.
      • setUnknownFields

        public final SearchJobsRequest.Builder setUnknownFields​(com.google.protobuf.UnknownFieldSet unknownFields)
        Specified by:
        setUnknownFields in interface com.google.protobuf.Message.Builder
        Overrides:
        setUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<SearchJobsRequest.Builder>
      • mergeUnknownFields

        public final SearchJobsRequest.Builder mergeUnknownFields​(com.google.protobuf.UnknownFieldSet unknownFields)
        Specified by:
        mergeUnknownFields in interface com.google.protobuf.Message.Builder
        Overrides:
        mergeUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<SearchJobsRequest.Builder>