Package com.google.cloud.talent.v4beta1
Class SearchJobsRequest.Builder
- java.lang.Object
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- com.google.protobuf.AbstractMessageLite.Builder
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- com.google.protobuf.AbstractMessage.Builder<BuilderT>
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- com.google.protobuf.GeneratedMessageV3.Builder<SearchJobsRequest.Builder>
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- com.google.cloud.talent.v4beta1.SearchJobsRequest.Builder
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- 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 typegoogle.cloud.talent.v4beta1.SearchJobsRequest
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Deprecated Methods Modifier and Type Method Description SearchJobsRequest.Builder
addAllHistogramQueries(Iterable<? extends HistogramQuery> values)
An expression specifies a histogram request against matching jobs.SearchJobsRequest.Builder
addHistogramQueries(int index, HistogramQuery value)
An expression specifies a histogram request against matching jobs.SearchJobsRequest.Builder
addHistogramQueries(int index, HistogramQuery.Builder builderForValue)
An expression specifies a histogram request against matching jobs.SearchJobsRequest.Builder
addHistogramQueries(HistogramQuery value)
An expression specifies a histogram request against matching jobs.SearchJobsRequest.Builder
addHistogramQueries(HistogramQuery.Builder builderForValue)
An expression specifies a histogram request against matching jobs.HistogramQuery.Builder
addHistogramQueriesBuilder()
An expression specifies a histogram request against matching jobs.HistogramQuery.Builder
addHistogramQueriesBuilder(int index)
An expression specifies a histogram request against matching jobs.SearchJobsRequest.Builder
addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
SearchJobsRequest
build()
SearchJobsRequest
buildPartial()
SearchJobsRequest.Builder
clear()
SearchJobsRequest.Builder
clearCustomRankingInfo()
Controls over how job documents get ranked on top of existing relevance score (determined by API algorithm).SearchJobsRequest.Builder
clearDisableKeywordMatch()
This field is deprecated.SearchJobsRequest.Builder
clearDiversificationLevel()
Controls whether highly similar jobs are returned next to each other in the search results.SearchJobsRequest.Builder
clearEnableBroadening()
Controls whether to broaden the search when it produces sparse results.SearchJobsRequest.Builder
clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
SearchJobsRequest.Builder
clearHistogramQueries()
An expression specifies a histogram request against matching jobs.SearchJobsRequest.Builder
clearJobQuery()
Query used to search against jobs, such as keyword, location filters, etc.SearchJobsRequest.Builder
clearJobView()
The desired job attributes returned for jobs in the search response.SearchJobsRequest.Builder
clearKeywordMatchMode()
Controls what keyword match options to use.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.SearchJobsRequest.Builder
clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
SearchJobsRequest.Builder
clearOrderBy()
The criteria determining how search results are sorted.SearchJobsRequest.Builder
clearPageSize()
A limit on the number of jobs returned in the search results.SearchJobsRequest.Builder
clearPageToken()
The token specifying the current offset within search results.SearchJobsRequest.Builder
clearParent()
Required.SearchJobsRequest.Builder
clearRequestMetadata()
Required.SearchJobsRequest.Builder
clearRequirePreciseResultSize()
Deprecated.google.cloud.talent.v4beta1.SearchJobsRequest.require_precise_result_size is deprecated.SearchJobsRequest.Builder
clearSearchMode()
Mode of a search.SearchJobsRequest.Builder
clone()
SearchJobsRequest.CustomRankingInfo
getCustomRankingInfo()
Controls over how job documents get ranked on top of existing relevance score (determined by API algorithm).SearchJobsRequest.CustomRankingInfo.Builder
getCustomRankingInfoBuilder()
Controls over how job documents get ranked on top of existing relevance score (determined by API algorithm).SearchJobsRequest.CustomRankingInfoOrBuilder
getCustomRankingInfoOrBuilder()
Controls over how job documents get ranked on top of existing relevance score (determined by API algorithm).SearchJobsRequest
getDefaultInstanceForType()
static com.google.protobuf.Descriptors.Descriptor
getDescriptor()
com.google.protobuf.Descriptors.Descriptor
getDescriptorForType()
boolean
getDisableKeywordMatch()
This field is deprecated.SearchJobsRequest.DiversificationLevel
getDiversificationLevel()
Controls whether highly similar jobs are returned next to each other in the search results.int
getDiversificationLevelValue()
Controls whether highly similar jobs are returned next to each other in the search results.boolean
getEnableBroadening()
Controls whether to broaden the search when it produces sparse results.HistogramQuery
getHistogramQueries(int index)
An expression specifies a histogram request against matching jobs.HistogramQuery.Builder
getHistogramQueriesBuilder(int index)
An expression specifies a histogram request against matching jobs.List<HistogramQuery.Builder>
getHistogramQueriesBuilderList()
An expression specifies a histogram request against matching jobs.int
getHistogramQueriesCount()
An expression specifies a histogram request against matching jobs.List<HistogramQuery>
getHistogramQueriesList()
An expression specifies a histogram request against matching jobs.HistogramQueryOrBuilder
getHistogramQueriesOrBuilder(int index)
An expression specifies a histogram request against matching jobs.List<? extends HistogramQueryOrBuilder>
getHistogramQueriesOrBuilderList()
An expression specifies a histogram request against matching jobs.JobQuery
getJobQuery()
Query used to search against jobs, such as keyword, location filters, etc.JobQuery.Builder
getJobQueryBuilder()
Query used to search against jobs, such as keyword, location filters, etc.JobQueryOrBuilder
getJobQueryOrBuilder()
Query used to search against jobs, such as keyword, location filters, etc.JobView
getJobView()
The desired job attributes returned for jobs in the search response.int
getJobViewValue()
The desired job attributes returned for jobs in the search response.SearchJobsRequest.KeywordMatchMode
getKeywordMatchMode()
Controls what keyword match options to use.int
getKeywordMatchModeValue()
Controls what keyword match options to use.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.String
getOrderBy()
The criteria determining how search results are sorted.com.google.protobuf.ByteString
getOrderByBytes()
The criteria determining how search results are sorted.int
getPageSize()
A limit on the number of jobs returned in the search results.String
getPageToken()
The token specifying the current offset within search results.com.google.protobuf.ByteString
getPageTokenBytes()
The token specifying the current offset within search results.String
getParent()
Required.com.google.protobuf.ByteString
getParentBytes()
Required.RequestMetadata
getRequestMetadata()
Required.RequestMetadata.Builder
getRequestMetadataBuilder()
Required.RequestMetadataOrBuilder
getRequestMetadataOrBuilder()
Required.boolean
getRequirePreciseResultSize()
Deprecated.google.cloud.talent.v4beta1.SearchJobsRequest.require_precise_result_size is deprecated.SearchJobsRequest.SearchMode
getSearchMode()
Mode of a search.int
getSearchModeValue()
Mode of a search.boolean
hasCustomRankingInfo()
Controls over how job documents get ranked on top of existing relevance score (determined by API algorithm).boolean
hasJobQuery()
Query used to search against jobs, such as keyword, location filters, etc.boolean
hasRequestMetadata()
Required.protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable()
boolean
isInitialized()
SearchJobsRequest.Builder
mergeCustomRankingInfo(SearchJobsRequest.CustomRankingInfo value)
Controls over how job documents get ranked on top of existing relevance score (determined by API algorithm).SearchJobsRequest.Builder
mergeFrom(SearchJobsRequest other)
SearchJobsRequest.Builder
mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
SearchJobsRequest.Builder
mergeFrom(com.google.protobuf.Message other)
SearchJobsRequest.Builder
mergeJobQuery(JobQuery value)
Query used to search against jobs, such as keyword, location filters, etc.SearchJobsRequest.Builder
mergeRequestMetadata(RequestMetadata value)
Required.SearchJobsRequest.Builder
mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
SearchJobsRequest.Builder
removeHistogramQueries(int index)
An expression specifies a histogram request against matching jobs.SearchJobsRequest.Builder
setCustomRankingInfo(SearchJobsRequest.CustomRankingInfo value)
Controls over how job documents get ranked on top of existing relevance score (determined by API algorithm).SearchJobsRequest.Builder
setCustomRankingInfo(SearchJobsRequest.CustomRankingInfo.Builder builderForValue)
Controls over how job documents get ranked on top of existing relevance score (determined by API algorithm).SearchJobsRequest.Builder
setDisableKeywordMatch(boolean value)
This field is deprecated.SearchJobsRequest.Builder
setDiversificationLevel(SearchJobsRequest.DiversificationLevel value)
Controls whether highly similar jobs are returned next to each other in the search results.SearchJobsRequest.Builder
setDiversificationLevelValue(int value)
Controls whether highly similar jobs are returned next to each other in the search results.SearchJobsRequest.Builder
setEnableBroadening(boolean value)
Controls whether to broaden the search when it produces sparse results.SearchJobsRequest.Builder
setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
SearchJobsRequest.Builder
setHistogramQueries(int index, HistogramQuery value)
An expression specifies a histogram request against matching jobs.SearchJobsRequest.Builder
setHistogramQueries(int index, HistogramQuery.Builder builderForValue)
An expression specifies a histogram request against matching jobs.SearchJobsRequest.Builder
setJobQuery(JobQuery value)
Query used to search against jobs, such as keyword, location filters, etc.SearchJobsRequest.Builder
setJobQuery(JobQuery.Builder builderForValue)
Query used to search against jobs, such as keyword, location filters, etc.SearchJobsRequest.Builder
setJobView(JobView value)
The desired job attributes returned for jobs in the search response.SearchJobsRequest.Builder
setJobViewValue(int value)
The desired job attributes returned for jobs in the search response.SearchJobsRequest.Builder
setKeywordMatchMode(SearchJobsRequest.KeywordMatchMode value)
Controls what keyword match options to use.SearchJobsRequest.Builder
setKeywordMatchModeValue(int value)
Controls what keyword match options to use.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.SearchJobsRequest.Builder
setOrderBy(String value)
The criteria determining how search results are sorted.SearchJobsRequest.Builder
setOrderByBytes(com.google.protobuf.ByteString value)
The criteria determining how search results are sorted.SearchJobsRequest.Builder
setPageSize(int value)
A limit on the number of jobs returned in the search results.SearchJobsRequest.Builder
setPageToken(String value)
The token specifying the current offset within search results.SearchJobsRequest.Builder
setPageTokenBytes(com.google.protobuf.ByteString value)
The token specifying the current offset within search results.SearchJobsRequest.Builder
setParent(String value)
Required.SearchJobsRequest.Builder
setParentBytes(com.google.protobuf.ByteString value)
Required.SearchJobsRequest.Builder
setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
SearchJobsRequest.Builder
setRequestMetadata(RequestMetadata value)
Required.SearchJobsRequest.Builder
setRequestMetadata(RequestMetadata.Builder builderForValue)
Required.SearchJobsRequest.Builder
setRequirePreciseResultSize(boolean value)
Deprecated.google.cloud.talent.v4beta1.SearchJobsRequest.require_precise_result_size is deprecated.SearchJobsRequest.Builder
setSearchMode(SearchJobsRequest.SearchMode value)
Mode of a search.SearchJobsRequest.Builder
setSearchModeValue(int value)
Mode of a search.SearchJobsRequest.Builder
setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
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Methods inherited from class com.google.protobuf.GeneratedMessageV3.Builder
getAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, getUnknownFieldSetBuilder, hasField, hasOneof, internalGetMapField, internalGetMutableMapField, isClean, markClean, mergeUnknownLengthDelimitedField, mergeUnknownVarintField, newBuilderForField, onBuilt, onChanged, parseUnknownField, setUnknownFieldSetBuilder, setUnknownFieldsProto3
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Methods inherited from class com.google.protobuf.AbstractMessage.Builder
findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toString
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Methods inherited from class com.google.protobuf.AbstractMessageLite.Builder
addAll, addAll, mergeDelimitedFrom, mergeDelimitedFrom, mergeFrom, newUninitializedMessageException
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Methods inherited from class java.lang.Object
equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
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Method Detail
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getDescriptor
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()
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internalGetFieldAccessorTable
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
- Specified by:
internalGetFieldAccessorTable
in classcom.google.protobuf.GeneratedMessageV3.Builder<SearchJobsRequest.Builder>
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clear
public SearchJobsRequest.Builder clear()
- Specified by:
clear
in interfacecom.google.protobuf.Message.Builder
- Specified by:
clear
in interfacecom.google.protobuf.MessageLite.Builder
- Overrides:
clear
in classcom.google.protobuf.GeneratedMessageV3.Builder<SearchJobsRequest.Builder>
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getDescriptorForType
public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
- Specified by:
getDescriptorForType
in interfacecom.google.protobuf.Message.Builder
- Specified by:
getDescriptorForType
in interfacecom.google.protobuf.MessageOrBuilder
- Overrides:
getDescriptorForType
in classcom.google.protobuf.GeneratedMessageV3.Builder<SearchJobsRequest.Builder>
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getDefaultInstanceForType
public SearchJobsRequest getDefaultInstanceForType()
- Specified by:
getDefaultInstanceForType
in interfacecom.google.protobuf.MessageLiteOrBuilder
- Specified by:
getDefaultInstanceForType
in interfacecom.google.protobuf.MessageOrBuilder
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build
public SearchJobsRequest build()
- Specified by:
build
in interfacecom.google.protobuf.Message.Builder
- Specified by:
build
in interfacecom.google.protobuf.MessageLite.Builder
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buildPartial
public SearchJobsRequest buildPartial()
- Specified by:
buildPartial
in interfacecom.google.protobuf.Message.Builder
- Specified by:
buildPartial
in interfacecom.google.protobuf.MessageLite.Builder
-
clone
public SearchJobsRequest.Builder clone()
- Specified by:
clone
in interfacecom.google.protobuf.Message.Builder
- Specified by:
clone
in interfacecom.google.protobuf.MessageLite.Builder
- Overrides:
clone
in classcom.google.protobuf.GeneratedMessageV3.Builder<SearchJobsRequest.Builder>
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setField
public SearchJobsRequest.Builder setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
- Specified by:
setField
in interfacecom.google.protobuf.Message.Builder
- Overrides:
setField
in classcom.google.protobuf.GeneratedMessageV3.Builder<SearchJobsRequest.Builder>
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clearField
public SearchJobsRequest.Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
- Specified by:
clearField
in interfacecom.google.protobuf.Message.Builder
- Overrides:
clearField
in classcom.google.protobuf.GeneratedMessageV3.Builder<SearchJobsRequest.Builder>
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clearOneof
public SearchJobsRequest.Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
- Specified by:
clearOneof
in interfacecom.google.protobuf.Message.Builder
- Overrides:
clearOneof
in classcom.google.protobuf.GeneratedMessageV3.Builder<SearchJobsRequest.Builder>
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setRepeatedField
public SearchJobsRequest.Builder setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
- Specified by:
setRepeatedField
in interfacecom.google.protobuf.Message.Builder
- Overrides:
setRepeatedField
in classcom.google.protobuf.GeneratedMessageV3.Builder<SearchJobsRequest.Builder>
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addRepeatedField
public SearchJobsRequest.Builder addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
- Specified by:
addRepeatedField
in interfacecom.google.protobuf.Message.Builder
- Overrides:
addRepeatedField
in classcom.google.protobuf.GeneratedMessageV3.Builder<SearchJobsRequest.Builder>
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mergeFrom
public SearchJobsRequest.Builder mergeFrom(com.google.protobuf.Message other)
- Specified by:
mergeFrom
in interfacecom.google.protobuf.Message.Builder
- Overrides:
mergeFrom
in classcom.google.protobuf.AbstractMessage.Builder<SearchJobsRequest.Builder>
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mergeFrom
public SearchJobsRequest.Builder mergeFrom(SearchJobsRequest other)
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isInitialized
public final boolean isInitialized()
- Specified by:
isInitialized
in interfacecom.google.protobuf.MessageLiteOrBuilder
- Overrides:
isInitialized
in classcom.google.protobuf.GeneratedMessageV3.Builder<SearchJobsRequest.Builder>
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mergeFrom
public SearchJobsRequest.Builder mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
- Specified by:
mergeFrom
in interfacecom.google.protobuf.Message.Builder
- Specified by:
mergeFrom
in interfacecom.google.protobuf.MessageLite.Builder
- Overrides:
mergeFrom
in classcom.google.protobuf.AbstractMessage.Builder<SearchJobsRequest.Builder>
- Throws:
IOException
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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 interfaceSearchJobsRequestOrBuilder
- Returns:
- The parent.
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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 interfaceSearchJobsRequestOrBuilder
- Returns:
- The bytes for parent.
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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.
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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.
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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.
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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 interfaceSearchJobsRequestOrBuilder
- Returns:
- The enum numeric value on the wire for searchMode.
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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.
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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 interfaceSearchJobsRequestOrBuilder
- Returns:
- The searchMode.
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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.
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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.
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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 interfaceSearchJobsRequestOrBuilder
- Returns:
- Whether the requestMetadata field is set.
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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 interfaceSearchJobsRequestOrBuilder
- Returns:
- The requestMetadata.
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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];
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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];
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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];
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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];
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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];
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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 interfaceSearchJobsRequestOrBuilder
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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 interfaceSearchJobsRequestOrBuilder
- Returns:
- Whether the jobQuery field is set.
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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 interfaceSearchJobsRequestOrBuilder
- Returns:
- The jobQuery.
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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;
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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;
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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;
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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;
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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;
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getJobQueryOrBuilder
public JobQueryOrBuilder getJobQueryOrBuilder()
Query used to search against jobs, such as keyword, location filters, etc.
.google.cloud.talent.v4beta1.JobQuery job_query = 4;
- Specified by:
getJobQueryOrBuilder
in interfaceSearchJobsRequestOrBuilder
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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 interfaceSearchJobsRequestOrBuilder
- Returns:
- The enableBroadening.
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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=594This field is deprecated.
bool require_precise_result_size = 6 [deprecated = true];
- Specified by:
getRequirePreciseResultSize
in interfaceSearchJobsRequestOrBuilder
- 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=594This 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=594This 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 interfaceSearchJobsRequestOrBuilder
-
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 interfaceSearchJobsRequestOrBuilder
-
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 interfaceSearchJobsRequestOrBuilder
-
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;
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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;
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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;
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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;
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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;
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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;
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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;
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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;
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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 interfaceSearchJobsRequestOrBuilder
-
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 interfaceSearchJobsRequestOrBuilder
-
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;
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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 interfaceSearchJobsRequestOrBuilder
- 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 interfaceSearchJobsRequestOrBuilder
- 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 interfaceSearchJobsRequestOrBuilder
- 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 interfaceSearchJobsRequestOrBuilder
- 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 interfaceSearchJobsRequestOrBuilder
- 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 interfaceSearchJobsRequestOrBuilder
- 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 interfaceSearchJobsRequestOrBuilder
- 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 interfaceSearchJobsRequestOrBuilder
- 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 interfaceSearchJobsRequestOrBuilder
- 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 interfaceSearchJobsRequestOrBuilder
- 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 interfaceSearchJobsRequestOrBuilder
- Returns:
- Whether the customRankingInfo field is set.
-
getCustomRankingInfo
public SearchJobsRequest.CustomRankingInfo getCustomRankingInfo()
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:
getCustomRankingInfo
in interfaceSearchJobsRequestOrBuilder
- Returns:
- The customRankingInfo.
-
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;
-
getCustomRankingInfoOrBuilder
public SearchJobsRequest.CustomRankingInfoOrBuilder getCustomRankingInfoOrBuilder()
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:
getCustomRankingInfoOrBuilder
in interfaceSearchJobsRequestOrBuilder
-
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 interfaceSearchJobsRequestOrBuilder
- 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 interfaceSearchJobsRequestOrBuilder
- 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 interfaceSearchJobsRequestOrBuilder
- 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 interfacecom.google.protobuf.Message.Builder
- Overrides:
setUnknownFields
in classcom.google.protobuf.GeneratedMessageV3.Builder<SearchJobsRequest.Builder>
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mergeUnknownFields
public final SearchJobsRequest.Builder mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
- Specified by:
mergeUnknownFields
in interfacecom.google.protobuf.Message.Builder
- Overrides:
mergeUnknownFields
in classcom.google.protobuf.GeneratedMessageV3.Builder<SearchJobsRequest.Builder>
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