public static final class SearchJobsRequest.Builder extends com.google.protobuf.GeneratedMessageV3.Builder<SearchJobsRequest.Builder> implements SearchJobsRequestOrBuilder
Input only. The Request body of the `SearchJobs` call.Protobuf type
google.cloud.talent.v4beta1.SearchJobsRequestgetAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof, internalGetMapField, internalGetMutableMapField, isClean, markClean, newBuilderForField, onBuilt, onChanged, setUnknownFieldsProto3findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeDelimitedFrom, mergeDelimitedFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toStringaddAll, addAll, mergeFrom, newUninitializedMessageExceptionequals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, waitpublic static final com.google.protobuf.Descriptors.Descriptor getDescriptor()
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3.Builder<SearchJobsRequest.Builder>public SearchJobsRequest.Builder clear()
clear in interface com.google.protobuf.Message.Builderclear in interface com.google.protobuf.MessageLite.Builderclear in class com.google.protobuf.GeneratedMessageV3.Builder<SearchJobsRequest.Builder>public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
getDescriptorForType in interface com.google.protobuf.Message.BuildergetDescriptorForType in interface com.google.protobuf.MessageOrBuildergetDescriptorForType in class com.google.protobuf.GeneratedMessageV3.Builder<SearchJobsRequest.Builder>public SearchJobsRequest getDefaultInstanceForType()
getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuildergetDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilderpublic SearchJobsRequest build()
build in interface com.google.protobuf.Message.Builderbuild in interface com.google.protobuf.MessageLite.Builderpublic SearchJobsRequest buildPartial()
buildPartial in interface com.google.protobuf.Message.BuilderbuildPartial in interface com.google.protobuf.MessageLite.Builderpublic SearchJobsRequest.Builder clone()
clone in interface com.google.protobuf.Message.Builderclone in interface com.google.protobuf.MessageLite.Builderclone in class com.google.protobuf.GeneratedMessageV3.Builder<SearchJobsRequest.Builder>public SearchJobsRequest.Builder setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
setField in interface com.google.protobuf.Message.BuildersetField in class com.google.protobuf.GeneratedMessageV3.Builder<SearchJobsRequest.Builder>public SearchJobsRequest.Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
clearField in interface com.google.protobuf.Message.BuilderclearField in class com.google.protobuf.GeneratedMessageV3.Builder<SearchJobsRequest.Builder>public SearchJobsRequest.Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
clearOneof in interface com.google.protobuf.Message.BuilderclearOneof in class com.google.protobuf.GeneratedMessageV3.Builder<SearchJobsRequest.Builder>public SearchJobsRequest.Builder setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
setRepeatedField in interface com.google.protobuf.Message.BuildersetRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<SearchJobsRequest.Builder>public SearchJobsRequest.Builder addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
addRepeatedField in interface com.google.protobuf.Message.BuilderaddRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<SearchJobsRequest.Builder>public SearchJobsRequest.Builder mergeFrom(com.google.protobuf.Message other)
mergeFrom in interface com.google.protobuf.Message.BuildermergeFrom in class com.google.protobuf.AbstractMessage.Builder<SearchJobsRequest.Builder>public SearchJobsRequest.Builder mergeFrom(SearchJobsRequest other)
public final boolean isInitialized()
isInitialized in interface com.google.protobuf.MessageLiteOrBuilderisInitialized in class com.google.protobuf.GeneratedMessageV3.Builder<SearchJobsRequest.Builder>public SearchJobsRequest.Builder mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
mergeFrom in interface com.google.protobuf.Message.BuildermergeFrom in interface com.google.protobuf.MessageLite.BuildermergeFrom in class com.google.protobuf.AbstractMessage.Builder<SearchJobsRequest.Builder>IOExceptionpublic String getParent()
Required.
The resource name of the tenant to search within.
The format is "projects/{project_id}/tenants/{tenant_id}", for example,
"projects/api-test-project/tenant/foo".
Tenant id is optional and the default tenant is used if unspecified, for
example, "projects/api-test-project".
string parent = 1;getParent in interface SearchJobsRequestOrBuilderpublic 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/api-test-project/tenant/foo".
Tenant id is optional and the default tenant is used if unspecified, for
example, "projects/api-test-project".
string parent = 1;getParentBytes in interface SearchJobsRequestOrBuilderpublic 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/api-test-project/tenant/foo".
Tenant id is optional and the default tenant is used if unspecified, for
example, "projects/api-test-project".
string parent = 1;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/api-test-project/tenant/foo".
Tenant id is optional and the default tenant is used if unspecified, for
example, "projects/api-test-project".
string parent = 1;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/api-test-project/tenant/foo".
Tenant id is optional and the default tenant is used if unspecified, for
example, "projects/api-test-project".
string parent = 1;public int getSearchModeValue()
Optional. 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;getSearchModeValue in interface SearchJobsRequestOrBuilderpublic SearchJobsRequest.Builder setSearchModeValue(int value)
Optional. 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;public SearchJobsRequest.SearchMode getSearchMode()
Optional. 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;getSearchMode in interface SearchJobsRequestOrBuilderpublic SearchJobsRequest.Builder setSearchMode(SearchJobsRequest.SearchMode value)
Optional. 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;public SearchJobsRequest.Builder clearSearchMode()
Optional. 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;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;hasRequestMetadata in interface SearchJobsRequestOrBuilderpublic 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;getRequestMetadata in interface SearchJobsRequestOrBuilderpublic 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;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;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;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;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;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;getRequestMetadataOrBuilder in interface SearchJobsRequestOrBuilderpublic boolean hasJobQuery()
Optional. Query used to search against jobs, such as keyword, location filters, etc.
.google.cloud.talent.v4beta1.JobQuery job_query = 4;hasJobQuery in interface SearchJobsRequestOrBuilderpublic JobQuery getJobQuery()
Optional. Query used to search against jobs, such as keyword, location filters, etc.
.google.cloud.talent.v4beta1.JobQuery job_query = 4;getJobQuery in interface SearchJobsRequestOrBuilderpublic SearchJobsRequest.Builder setJobQuery(JobQuery value)
Optional. Query used to search against jobs, such as keyword, location filters, etc.
.google.cloud.talent.v4beta1.JobQuery job_query = 4;public SearchJobsRequest.Builder setJobQuery(JobQuery.Builder builderForValue)
Optional. Query used to search against jobs, such as keyword, location filters, etc.
.google.cloud.talent.v4beta1.JobQuery job_query = 4;public SearchJobsRequest.Builder mergeJobQuery(JobQuery value)
Optional. Query used to search against jobs, such as keyword, location filters, etc.
.google.cloud.talent.v4beta1.JobQuery job_query = 4;public SearchJobsRequest.Builder clearJobQuery()
Optional. Query used to search against jobs, such as keyword, location filters, etc.
.google.cloud.talent.v4beta1.JobQuery job_query = 4;public JobQuery.Builder getJobQueryBuilder()
Optional. Query used to search against jobs, such as keyword, location filters, etc.
.google.cloud.talent.v4beta1.JobQuery job_query = 4;public JobQueryOrBuilder getJobQueryOrBuilder()
Optional. Query used to search against jobs, such as keyword, location filters, etc.
.google.cloud.talent.v4beta1.JobQuery job_query = 4;getJobQueryOrBuilder in interface SearchJobsRequestOrBuilderpublic boolean getEnableBroadening()
Optional. 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;getEnableBroadening in interface SearchJobsRequestOrBuilderpublic SearchJobsRequest.Builder setEnableBroadening(boolean value)
Optional. 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;public SearchJobsRequest.Builder clearEnableBroadening()
Optional. 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;public boolean getRequirePreciseResultSize()
Optional. Controls if the search job request requires the return of a precise count of the first 300 results. Setting this to `true` ensures consistency in the number of results per page. Best practice is to set this value to true if a client allows users to jump directly to a non-sequential search results page. Enabling this flag may adversely impact performance. Defaults to false.
bool require_precise_result_size = 6;getRequirePreciseResultSize in interface SearchJobsRequestOrBuilderpublic SearchJobsRequest.Builder setRequirePreciseResultSize(boolean value)
Optional. Controls if the search job request requires the return of a precise count of the first 300 results. Setting this to `true` ensures consistency in the number of results per page. Best practice is to set this value to true if a client allows users to jump directly to a non-sequential search results page. Enabling this flag may adversely impact performance. Defaults to false.
bool require_precise_result_size = 6;public SearchJobsRequest.Builder clearRequirePreciseResultSize()
Optional. Controls if the search job request requires the return of a precise count of the first 300 results. Setting this to `true` ensures consistency in the number of results per page. Best practice is to set this value to true if a client allows users to jump directly to a non-sequential search results page. Enabling this flag may adversely impact performance. Defaults to false.
bool require_precise_result_size = 6;public List<HistogramQuery> getHistogramQueriesList()
Optional. 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. 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: histogram by [CompanySize][google.cloud.talent.v4beta1.CompanySize], for example, "SMALL", "MEDIUM", "BIG". * 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;getHistogramQueriesList in interface SearchJobsRequestOrBuilderpublic int getHistogramQueriesCount()
Optional. 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. 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: histogram by [CompanySize][google.cloud.talent.v4beta1.CompanySize], for example, "SMALL", "MEDIUM", "BIG". * 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;getHistogramQueriesCount in interface SearchJobsRequestOrBuilderpublic HistogramQuery getHistogramQueries(int index)
Optional. 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. 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: histogram by [CompanySize][google.cloud.talent.v4beta1.CompanySize], for example, "SMALL", "MEDIUM", "BIG". * 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;getHistogramQueries in interface SearchJobsRequestOrBuilderpublic SearchJobsRequest.Builder setHistogramQueries(int index, HistogramQuery value)
Optional. 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. 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: histogram by [CompanySize][google.cloud.talent.v4beta1.CompanySize], for example, "SMALL", "MEDIUM", "BIG". * 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;public SearchJobsRequest.Builder setHistogramQueries(int index, HistogramQuery.Builder builderForValue)
Optional. 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. 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: histogram by [CompanySize][google.cloud.talent.v4beta1.CompanySize], for example, "SMALL", "MEDIUM", "BIG". * 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;public SearchJobsRequest.Builder addHistogramQueries(HistogramQuery value)
Optional. 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. 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: histogram by [CompanySize][google.cloud.talent.v4beta1.CompanySize], for example, "SMALL", "MEDIUM", "BIG". * 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;public SearchJobsRequest.Builder addHistogramQueries(int index, HistogramQuery value)
Optional. 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. 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: histogram by [CompanySize][google.cloud.talent.v4beta1.CompanySize], for example, "SMALL", "MEDIUM", "BIG". * 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;public SearchJobsRequest.Builder addHistogramQueries(HistogramQuery.Builder builderForValue)
Optional. 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. 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: histogram by [CompanySize][google.cloud.talent.v4beta1.CompanySize], for example, "SMALL", "MEDIUM", "BIG". * 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;public SearchJobsRequest.Builder addHistogramQueries(int index, HistogramQuery.Builder builderForValue)
Optional. 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. 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: histogram by [CompanySize][google.cloud.talent.v4beta1.CompanySize], for example, "SMALL", "MEDIUM", "BIG". * 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;public SearchJobsRequest.Builder addAllHistogramQueries(Iterable<? extends HistogramQuery> values)
Optional. 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. 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: histogram by [CompanySize][google.cloud.talent.v4beta1.CompanySize], for example, "SMALL", "MEDIUM", "BIG". * 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;public SearchJobsRequest.Builder clearHistogramQueries()
Optional. 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. 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: histogram by [CompanySize][google.cloud.talent.v4beta1.CompanySize], for example, "SMALL", "MEDIUM", "BIG". * 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;public SearchJobsRequest.Builder removeHistogramQueries(int index)
Optional. 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. 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: histogram by [CompanySize][google.cloud.talent.v4beta1.CompanySize], for example, "SMALL", "MEDIUM", "BIG". * 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;public HistogramQuery.Builder getHistogramQueriesBuilder(int index)
Optional. 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. 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: histogram by [CompanySize][google.cloud.talent.v4beta1.CompanySize], for example, "SMALL", "MEDIUM", "BIG". * 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;public HistogramQueryOrBuilder getHistogramQueriesOrBuilder(int index)
Optional. 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. 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: histogram by [CompanySize][google.cloud.talent.v4beta1.CompanySize], for example, "SMALL", "MEDIUM", "BIG". * publish_time_in_month: histogram by the [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time] in months. Must specify list of numeric buckets in spec. * publish_time_in_year: histogram by the [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time] in years. Must specify list of numeric buckets in spec. * degree_types: histogram by the [Job.degree_types][google.cloud.talent.v4beta1.Job.degree_types], for example, "Bachelors", "Masters". * job_level: histogram by the [Job.job_level][google.cloud.talent.v4beta1.Job.job_level], for example, "Entry Level". * country: histogram by the country code of jobs, for example, "US", "FR". * admin1: histogram by the admin1 code of jobs, which is a global placeholder referring to the state, province, or the particular term a country uses to define the geographic structure below the country level, for example, "CA", "IL". * city: histogram by a combination of the "city name, admin1 code". For example, "Mountain View, CA", "New York, NY". * admin1_country: histogram by a combination of the "admin1 code, country", for example, "CA, US", "IL, US". * city_coordinate: histogram by the city center's GPS coordinates (latitude and longitude), for example, 37.4038522,-122.0987765. Since the coordinates of a city center can change, customers may need to refresh them periodically. * locale: histogram by the [Job.language_code][google.cloud.talent.v4beta1.Job.language_code], for example, "en-US", "fr-FR". * language: histogram by the language subtag of the [Job.language_code][google.cloud.talent.v4beta1.Job.language_code], for example, "en", "fr". * category: histogram by the [JobCategory][google.cloud.talent.v4beta1.JobCategory], for example, "COMPUTER_AND_IT", "HEALTHCARE". * base_compensation_unit: histogram by the [CompensationInfo.CompensationUnit][google.cloud.talent.v4beta1.CompensationInfo.CompensationUnit] of base salary, for example, "WEEKLY", "MONTHLY". * base_compensation: histogram by the base salary. Must specify list of numeric buckets to group results by. * annualized_base_compensation: histogram by the base annualized salary. Must specify list of numeric buckets to group results by. * annualized_total_compensation: histogram by the total annualized salary. Must specify list of numeric buckets to group results by. * string_custom_attribute: histogram by string [Job.custom_attributes][google.cloud.talent.v4beta1.Job.custom_attributes]. Values can be accessed via square bracket notations like string_custom_attribute["key1"]. * numeric_custom_attribute: histogram by numeric [Job.custom_attributes][google.cloud.talent.v4beta1.Job.custom_attributes]. Values can be accessed via square bracket notations like numeric_custom_attribute["key1"]. Must specify list of numeric buckets to group results by. Example expressions: * `count(admin1)` * `count(base_compensation, [bucket(1000, 10000), bucket(10000, 100000), bucket(100000, MAX)])` * `count(string_custom_attribute["some-string-custom-attribute"])` * `count(numeric_custom_attribute["some-numeric-custom-attribute"], [bucket(MIN, 0, "negative"), bucket(0, MAX, "non-negative"])`
repeated .google.cloud.talent.v4beta1.HistogramQuery histogram_queries = 7;getHistogramQueriesOrBuilder in interface SearchJobsRequestOrBuilderpublic List<? extends HistogramQueryOrBuilder> getHistogramQueriesOrBuilderList()
Optional. 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. 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: histogram by [CompanySize][google.cloud.talent.v4beta1.CompanySize], for example, "SMALL", "MEDIUM", "BIG". * 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;getHistogramQueriesOrBuilderList in interface SearchJobsRequestOrBuilderpublic HistogramQuery.Builder addHistogramQueriesBuilder()
Optional. 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. 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: histogram by [CompanySize][google.cloud.talent.v4beta1.CompanySize], for example, "SMALL", "MEDIUM", "BIG". * 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;public HistogramQuery.Builder addHistogramQueriesBuilder(int index)
Optional. 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. 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: histogram by [CompanySize][google.cloud.talent.v4beta1.CompanySize], for example, "SMALL", "MEDIUM", "BIG". * 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;public List<HistogramQuery.Builder> getHistogramQueriesBuilderList()
Optional. 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. 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: histogram by [CompanySize][google.cloud.talent.v4beta1.CompanySize], for example, "SMALL", "MEDIUM", "BIG". * 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;public int getJobViewValue()
Optional. 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;getJobViewValue in interface SearchJobsRequestOrBuilderpublic SearchJobsRequest.Builder setJobViewValue(int value)
Optional. 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;public JobView getJobView()
Optional. 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;getJobView in interface SearchJobsRequestOrBuilderpublic SearchJobsRequest.Builder setJobView(JobView value)
Optional. 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;public SearchJobsRequest.Builder clearJobView()
Optional. 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;public int getOffset()
Optional. 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. 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;getOffset in interface SearchJobsRequestOrBuilderpublic SearchJobsRequest.Builder setOffset(int value)
Optional. 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. 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;public SearchJobsRequest.Builder clearOffset()
Optional. 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. 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;public int getPageSize()
Optional. 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;getPageSize in interface SearchJobsRequestOrBuilderpublic SearchJobsRequest.Builder setPageSize(int value)
Optional. 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;public SearchJobsRequest.Builder clearPageSize()
Optional. 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;public String getPageToken()
Optional. 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;getPageToken in interface SearchJobsRequestOrBuilderpublic com.google.protobuf.ByteString getPageTokenBytes()
Optional. 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;getPageTokenBytes in interface SearchJobsRequestOrBuilderpublic SearchJobsRequest.Builder setPageToken(String value)
Optional. 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;public SearchJobsRequest.Builder clearPageToken()
Optional. 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;public SearchJobsRequest.Builder setPageTokenBytes(com.google.protobuf.ByteString value)
Optional. 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;public String getOrderBy()
Optional. 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`_`distance": By the distance between the location on jobs and locations specified in the [JobQuery.location_filters][google.cloud.talent.v4beta1.JobQuery.location_filters]. When this order is selected, the [JobQuery.location_filters][google.cloud.talent.v4beta1.JobQuery.location_filters] must not be empty. When a job has multiple locations, the location closest to one of the locations specified in the location filter will be used to calculate location distance. Distance is calculated by the distance between two lat/long coordinates, with a precision of 10e-4 degrees (11.3 meters). Jobs that don't have locations specified will be ranked below jobs having locations. Diversification strategy is still applied unless explicitly disabled in [SearchJobsRequest.diversification_level][google.cloud.talent.v4beta1.SearchJobsRequest.diversification_level].
string order_by = 12;getOrderBy in interface SearchJobsRequestOrBuilderpublic com.google.protobuf.ByteString getOrderByBytes()
Optional. 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`_`distance": By the distance between the location on jobs and locations specified in the [JobQuery.location_filters][google.cloud.talent.v4beta1.JobQuery.location_filters]. When this order is selected, the [JobQuery.location_filters][google.cloud.talent.v4beta1.JobQuery.location_filters] must not be empty. When a job has multiple locations, the location closest to one of the locations specified in the location filter will be used to calculate location distance. Distance is calculated by the distance between two lat/long coordinates, with a precision of 10e-4 degrees (11.3 meters). Jobs that don't have locations specified will be ranked below jobs having locations. Diversification strategy is still applied unless explicitly disabled in [SearchJobsRequest.diversification_level][google.cloud.talent.v4beta1.SearchJobsRequest.diversification_level].
string order_by = 12;getOrderByBytes in interface SearchJobsRequestOrBuilderpublic SearchJobsRequest.Builder setOrderBy(String value)
Optional. 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`_`distance": By the distance between the location on jobs and locations specified in the [JobQuery.location_filters][google.cloud.talent.v4beta1.JobQuery.location_filters]. When this order is selected, the [JobQuery.location_filters][google.cloud.talent.v4beta1.JobQuery.location_filters] must not be empty. When a job has multiple locations, the location closest to one of the locations specified in the location filter will be used to calculate location distance. Distance is calculated by the distance between two lat/long coordinates, with a precision of 10e-4 degrees (11.3 meters). Jobs that don't have locations specified will be ranked below jobs having locations. Diversification strategy is still applied unless explicitly disabled in [SearchJobsRequest.diversification_level][google.cloud.talent.v4beta1.SearchJobsRequest.diversification_level].
string order_by = 12;public SearchJobsRequest.Builder clearOrderBy()
Optional. 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`_`distance": By the distance between the location on jobs and locations specified in the [JobQuery.location_filters][google.cloud.talent.v4beta1.JobQuery.location_filters]. When this order is selected, the [JobQuery.location_filters][google.cloud.talent.v4beta1.JobQuery.location_filters] must not be empty. When a job has multiple locations, the location closest to one of the locations specified in the location filter will be used to calculate location distance. Distance is calculated by the distance between two lat/long coordinates, with a precision of 10e-4 degrees (11.3 meters). Jobs that don't have locations specified will be ranked below jobs having locations. Diversification strategy is still applied unless explicitly disabled in [SearchJobsRequest.diversification_level][google.cloud.talent.v4beta1.SearchJobsRequest.diversification_level].
string order_by = 12;public SearchJobsRequest.Builder setOrderByBytes(com.google.protobuf.ByteString value)
Optional. 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`_`distance": By the distance between the location on jobs and locations specified in the [JobQuery.location_filters][google.cloud.talent.v4beta1.JobQuery.location_filters]. When this order is selected, the [JobQuery.location_filters][google.cloud.talent.v4beta1.JobQuery.location_filters] must not be empty. When a job has multiple locations, the location closest to one of the locations specified in the location filter will be used to calculate location distance. Distance is calculated by the distance between two lat/long coordinates, with a precision of 10e-4 degrees (11.3 meters). Jobs that don't have locations specified will be ranked below jobs having locations. Diversification strategy is still applied unless explicitly disabled in [SearchJobsRequest.diversification_level][google.cloud.talent.v4beta1.SearchJobsRequest.diversification_level].
string order_by = 12;public int getDiversificationLevelValue()
Optional. 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;
getDiversificationLevelValue in interface SearchJobsRequestOrBuilderpublic SearchJobsRequest.Builder setDiversificationLevelValue(int value)
Optional. 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;
public SearchJobsRequest.DiversificationLevel getDiversificationLevel()
Optional. 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;
getDiversificationLevel in interface SearchJobsRequestOrBuilderpublic SearchJobsRequest.Builder setDiversificationLevel(SearchJobsRequest.DiversificationLevel value)
Optional. 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;
public SearchJobsRequest.Builder clearDiversificationLevel()
Optional. 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;
public boolean hasCustomRankingInfo()
Optional. 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;
hasCustomRankingInfo in interface SearchJobsRequestOrBuilderpublic SearchJobsRequest.CustomRankingInfo getCustomRankingInfo()
Optional. 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;
getCustomRankingInfo in interface SearchJobsRequestOrBuilderpublic SearchJobsRequest.Builder setCustomRankingInfo(SearchJobsRequest.CustomRankingInfo value)
Optional. 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;
public SearchJobsRequest.Builder setCustomRankingInfo(SearchJobsRequest.CustomRankingInfo.Builder builderForValue)
Optional. 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;
public SearchJobsRequest.Builder mergeCustomRankingInfo(SearchJobsRequest.CustomRankingInfo value)
Optional. 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;
public SearchJobsRequest.Builder clearCustomRankingInfo()
Optional. 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;
public SearchJobsRequest.CustomRankingInfo.Builder getCustomRankingInfoBuilder()
Optional. 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;
public SearchJobsRequest.CustomRankingInfoOrBuilder getCustomRankingInfoOrBuilder()
Optional. 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 in interface SearchJobsRequestOrBuilderpublic boolean getDisableKeywordMatch()
Optional. 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;getDisableKeywordMatch in interface SearchJobsRequestOrBuilderpublic SearchJobsRequest.Builder setDisableKeywordMatch(boolean value)
Optional. 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;public SearchJobsRequest.Builder clearDisableKeywordMatch()
Optional. 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;public final SearchJobsRequest.Builder setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
setUnknownFields in interface com.google.protobuf.Message.BuildersetUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<SearchJobsRequest.Builder>public final SearchJobsRequest.Builder mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
mergeUnknownFields in interface com.google.protobuf.Message.BuildermergeUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<SearchJobsRequest.Builder>Copyright © 2019 Google LLC. All rights reserved.