Class SearchJobsRequest (2.49.0) 

public final class SearchJobsRequest extends GeneratedMessageV3 implements SearchJobsRequestOrBuilder

The Request body of the SearchJobs call.

Protobuf type google.cloud.talent.v4.SearchJobsRequest

Inheritance

Object > AbstractMessageLite<MessageType,BuilderType> > AbstractMessage > GeneratedMessageV3 > SearchJobsRequest

Static Fields

CUSTOM_RANKING_INFO_FIELD_NUMBER

public static final int CUSTOM_RANKING_INFO_FIELD_NUMBER
Field Value
Type Description
int

DISABLE_KEYWORD_MATCH_FIELD_NUMBER

public static final int DISABLE_KEYWORD_MATCH_FIELD_NUMBER
Field Value
Type Description
int

DIVERSIFICATION_LEVEL_FIELD_NUMBER

public static final int DIVERSIFICATION_LEVEL_FIELD_NUMBER
Field Value
Type Description
int

ENABLE_BROADENING_FIELD_NUMBER

public static final int ENABLE_BROADENING_FIELD_NUMBER
Field Value
Type Description
int

HISTOGRAM_QUERIES_FIELD_NUMBER

public static final int HISTOGRAM_QUERIES_FIELD_NUMBER
Field Value
Type Description
int

JOB_QUERY_FIELD_NUMBER

public static final int JOB_QUERY_FIELD_NUMBER
Field Value
Type Description
int

JOB_VIEW_FIELD_NUMBER

public static final int JOB_VIEW_FIELD_NUMBER
Field Value
Type Description
int

KEYWORD_MATCH_MODE_FIELD_NUMBER

public static final int KEYWORD_MATCH_MODE_FIELD_NUMBER
Field Value
Type Description
int

MAX_PAGE_SIZE_FIELD_NUMBER

public static final int MAX_PAGE_SIZE_FIELD_NUMBER
Field Value
Type Description
int

OFFSET_FIELD_NUMBER

public static final int OFFSET_FIELD_NUMBER
Field Value
Type Description
int

ORDER_BY_FIELD_NUMBER

public static final int ORDER_BY_FIELD_NUMBER
Field Value
Type Description
int

PAGE_TOKEN_FIELD_NUMBER

public static final int PAGE_TOKEN_FIELD_NUMBER
Field Value
Type Description
int

PARENT_FIELD_NUMBER

public static final int PARENT_FIELD_NUMBER
Field Value
Type Description
int

REQUEST_METADATA_FIELD_NUMBER

public static final int REQUEST_METADATA_FIELD_NUMBER
Field Value
Type Description
int

SEARCH_MODE_FIELD_NUMBER

public static final int SEARCH_MODE_FIELD_NUMBER
Field Value
Type Description
int

Static Methods

getDefaultInstance()

public static SearchJobsRequest getDefaultInstance()
Returns
Type Description
SearchJobsRequest

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
Type Description
Descriptor

newBuilder()

public static SearchJobsRequest.Builder newBuilder()
Returns
Type Description
SearchJobsRequest.Builder

newBuilder(SearchJobsRequest prototype)

public static SearchJobsRequest.Builder newBuilder(SearchJobsRequest prototype)
Parameter
Name Description
prototype SearchJobsRequest
Returns
Type Description
SearchJobsRequest.Builder

parseDelimitedFrom(InputStream input)

public static SearchJobsRequest parseDelimitedFrom(InputStream input)
Parameter
Name Description
input InputStream
Returns
Type Description
SearchJobsRequest
Exceptions
Type Description
IOException

parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static SearchJobsRequest parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input InputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
SearchJobsRequest
Exceptions
Type Description
IOException

parseFrom(byte[] data)

public static SearchJobsRequest parseFrom(byte[] data)
Parameter
Name Description
data byte[]
Returns
Type Description
SearchJobsRequest
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

public static SearchJobsRequest parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
data byte[]
extensionRegistry ExtensionRegistryLite
Returns
Type Description
SearchJobsRequest
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(ByteString data)

public static SearchJobsRequest parseFrom(ByteString data)
Parameter
Name Description
data ByteString
Returns
Type Description
SearchJobsRequest
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

public static SearchJobsRequest parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
data ByteString
extensionRegistry ExtensionRegistryLite
Returns
Type Description
SearchJobsRequest
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(CodedInputStream input)

public static SearchJobsRequest parseFrom(CodedInputStream input)
Parameter
Name Description
input CodedInputStream
Returns
Type Description
SearchJobsRequest
Exceptions
Type Description
IOException

parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public static SearchJobsRequest parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input CodedInputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
SearchJobsRequest
Exceptions
Type Description
IOException

parseFrom(InputStream input)

public static SearchJobsRequest parseFrom(InputStream input)
Parameter
Name Description
input InputStream
Returns
Type Description
SearchJobsRequest
Exceptions
Type Description
IOException

parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static SearchJobsRequest parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input InputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
SearchJobsRequest
Exceptions
Type Description
IOException

parseFrom(ByteBuffer data)

public static SearchJobsRequest parseFrom(ByteBuffer data)
Parameter
Name Description
data ByteBuffer
Returns
Type Description
SearchJobsRequest
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

public static SearchJobsRequest parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
data ByteBuffer
extensionRegistry ExtensionRegistryLite
Returns
Type Description
SearchJobsRequest
Exceptions
Type Description
InvalidProtocolBufferException

parser()

public static Parser<SearchJobsRequest> parser()
Returns
Type Description
Parser<SearchJobsRequest>

Methods

equals(Object obj)

public boolean equals(Object obj)
Parameter
Name Description
obj Object
Returns
Type Description
boolean
Overrides

getCustomRankingInfo()

public SearchJobsRequest.CustomRankingInfo getCustomRankingInfo()

Controls over how job documents get ranked on top of existing relevance score (determined by API algorithm).

.google.cloud.talent.v4.SearchJobsRequest.CustomRankingInfo custom_ranking_info = 14;

Returns
Type Description
SearchJobsRequest.CustomRankingInfo

The customRankingInfo.

getCustomRankingInfoOrBuilder()

public SearchJobsRequest.CustomRankingInfoOrBuilder getCustomRankingInfoOrBuilder()

Controls over how job documents get ranked on top of existing relevance score (determined by API algorithm).

.google.cloud.talent.v4.SearchJobsRequest.CustomRankingInfo custom_ranking_info = 14;

Returns
Type Description
SearchJobsRequest.CustomRankingInfoOrBuilder

getDefaultInstanceForType()

public SearchJobsRequest getDefaultInstanceForType()
Returns
Type Description
SearchJobsRequest

getDisableKeywordMatch() (deprecated)

public boolean getDisableKeywordMatch()

Deprecated. google.cloud.talent.v4.SearchJobsRequest.disable_keyword_match is deprecated. See google/cloud/talent/v4/job_service.proto;l=804

This field is deprecated. Please use SearchJobsRequest.keyword_match_mode going forward.

To migrate, disable_keyword_match set to false maps to KeywordMatchMode.KEYWORD_MATCH_ALL, and disable_keyword_match set to true maps to KeywordMatchMode.KEYWORD_MATCH_DISABLED. If SearchJobsRequest.keyword_match_mode is set, this field is ignored.

Controls whether to disable exact keyword match on Job.title, Job.description, Job.company_display_name, Job.addresses, 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 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 [deprecated = true];

Returns
Type Description
boolean

The disableKeywordMatch.

getDiversificationLevel()

public SearchJobsRequest.DiversificationLevel getDiversificationLevel()

Controls whether highly similar jobs are returned next to each other in the search results. Jobs are identified as highly similar based on their titles, job categories, and locations. Highly similar results are clustered so that only one representative job of the cluster is displayed to the job seeker higher up in the results, with the other jobs being displayed lower down in the results.

Defaults to DiversificationLevel.SIMPLE if no value is specified.

.google.cloud.talent.v4.SearchJobsRequest.DiversificationLevel diversification_level = 13;

Returns
Type Description
SearchJobsRequest.DiversificationLevel

The diversificationLevel.

getDiversificationLevelValue()

public int getDiversificationLevelValue()

Controls whether highly similar jobs are returned next to each other in the search results. Jobs are identified as highly similar based on their titles, job categories, and locations. Highly similar results are clustered so that only one representative job of the cluster is displayed to the job seeker higher up in the results, with the other jobs being displayed lower down in the results.

Defaults to DiversificationLevel.SIMPLE if no value is specified.

.google.cloud.talent.v4.SearchJobsRequest.DiversificationLevel diversification_level = 13;

Returns
Type Description
int

The enum numeric value on the wire for diversificationLevel.

getEnableBroadening()

public boolean getEnableBroadening()

Controls whether to broaden the search when it produces sparse results. Broadened queries append results to the end of the matching results list.

Defaults to false.

bool enable_broadening = 5;

Returns
Type Description
boolean

The enableBroadening.

getHistogramQueries(int index)

public HistogramQuery getHistogramQueries(int index)

An expression specifies a histogram request against matching jobs.

Expression syntax is an aggregation function call with histogram facets and other options.

Available aggregation function calls are:

  • count(string_histogram_facet): Count the number of matching entities, for each distinct attribute value.

  • count(numeric_histogram_facet, list of buckets): Count the number of matching entities within each bucket.

    A maximum of 200 histogram buckets are supported.

    Data types:

  • Histogram facet: facet names with format a-zA-Z+.

  • 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.

  • employment_type: histogram by Job.employment_types, for example, "FULL_TIME", "PART_TIME".
  • company_size (DEPRECATED): histogram by CompanySize, for example, "SMALL", "MEDIUM", "BIG".
  • publish_time_in_day: histogram by the Job.posting_publish_time in days. Must specify list of numeric buckets in spec.
  • publish_time_in_month: histogram by the Job.posting_publish_time in months. Must specify list of numeric buckets in spec.
  • publish_time_in_year: histogram by the Job.posting_publish_time in years. Must specify list of numeric buckets in spec.
  • degree_types: histogram by the Job.degree_types, for example, "Bachelors", "Masters".
  • job_level: histogram by the 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, for example, "en-US", "fr-FR".
  • language: histogram by the language subtag of the Job.language_code, for example, "en", "fr".
  • category: histogram by the JobCategory, for example, "COMPUTER_AND_IT", "HEALTHCARE".
  • base_compensation_unit: histogram by the 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. Values can be accessed via square bracket notations like string_custom_attribute["key1"].

  • numeric_custom_attribute: histogram by numeric 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.v4.HistogramQuery histogram_queries = 7;

Parameter
Name Description
index int
Returns
Type Description
HistogramQuery

getHistogramQueriesCount()

public int getHistogramQueriesCount()

An expression specifies a histogram request against matching jobs.

Expression syntax is an aggregation function call with histogram facets and other options.

Available aggregation function calls are:

  • count(string_histogram_facet): Count the number of matching entities, for each distinct attribute value.

  • count(numeric_histogram_facet, list of buckets): Count the number of matching entities within each bucket.

    A maximum of 200 histogram buckets are supported.

    Data types:

  • Histogram facet: facet names with format a-zA-Z+.

  • 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.

  • employment_type: histogram by Job.employment_types, for example, "FULL_TIME", "PART_TIME".
  • company_size (DEPRECATED): histogram by CompanySize, for example, "SMALL", "MEDIUM", "BIG".
  • publish_time_in_day: histogram by the Job.posting_publish_time in days. Must specify list of numeric buckets in spec.
  • publish_time_in_month: histogram by the Job.posting_publish_time in months. Must specify list of numeric buckets in spec.
  • publish_time_in_year: histogram by the Job.posting_publish_time in years. Must specify list of numeric buckets in spec.
  • degree_types: histogram by the Job.degree_types, for example, "Bachelors", "Masters".
  • job_level: histogram by the 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, for example, "en-US", "fr-FR".
  • language: histogram by the language subtag of the Job.language_code, for example, "en", "fr".
  • category: histogram by the JobCategory, for example, "COMPUTER_AND_IT", "HEALTHCARE".
  • base_compensation_unit: histogram by the 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. Values can be accessed via square bracket notations like string_custom_attribute["key1"].

  • numeric_custom_attribute: histogram by numeric 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.v4.HistogramQuery histogram_queries = 7;

Returns
Type Description
int

getHistogramQueriesList()

public List<HistogramQuery> getHistogramQueriesList()

An expression specifies a histogram request against matching jobs.

Expression syntax is an aggregation function call with histogram facets and other options.

Available aggregation function calls are:

  • count(string_histogram_facet): Count the number of matching entities, for each distinct attribute value.

  • count(numeric_histogram_facet, list of buckets): Count the number of matching entities within each bucket.

    A maximum of 200 histogram buckets are supported.

    Data types:

  • Histogram facet: facet names with format a-zA-Z+.

  • 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.

  • employment_type: histogram by Job.employment_types, for example, "FULL_TIME", "PART_TIME".
  • company_size (DEPRECATED): histogram by CompanySize, for example, "SMALL", "MEDIUM", "BIG".
  • publish_time_in_day: histogram by the Job.posting_publish_time in days. Must specify list of numeric buckets in spec.
  • publish_time_in_month: histogram by the Job.posting_publish_time in months. Must specify list of numeric buckets in spec.
  • publish_time_in_year: histogram by the Job.posting_publish_time in years. Must specify list of numeric buckets in spec.
  • degree_types: histogram by the Job.degree_types, for example, "Bachelors", "Masters".
  • job_level: histogram by the 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, for example, "en-US", "fr-FR".
  • language: histogram by the language subtag of the Job.language_code, for example, "en", "fr".
  • category: histogram by the JobCategory, for example, "COMPUTER_AND_IT", "HEALTHCARE".
  • base_compensation_unit: histogram by the 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. Values can be accessed via square bracket notations like string_custom_attribute["key1"].

  • numeric_custom_attribute: histogram by numeric 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.v4.HistogramQuery histogram_queries = 7;

Returns
Type Description
List<HistogramQuery>

getHistogramQueriesOrBuilder(int index)

public HistogramQueryOrBuilder getHistogramQueriesOrBuilder(int index)

An expression specifies a histogram request against matching jobs.

Expression syntax is an aggregation function call with histogram facets and other options.

Available aggregation function calls are:

  • count(string_histogram_facet): Count the number of matching entities, for each distinct attribute value.

  • count(numeric_histogram_facet, list of buckets): Count the number of matching entities within each bucket.

    A maximum of 200 histogram buckets are supported.

    Data types:

  • Histogram facet: facet names with format a-zA-Z+.

  • 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.

  • employment_type: histogram by Job.employment_types, for example, "FULL_TIME", "PART_TIME".
  • company_size (DEPRECATED): histogram by CompanySize, for example, "SMALL", "MEDIUM", "BIG".
  • publish_time_in_day: histogram by the Job.posting_publish_time in days. Must specify list of numeric buckets in spec.
  • publish_time_in_month: histogram by the Job.posting_publish_time in months. Must specify list of numeric buckets in spec.
  • publish_time_in_year: histogram by the Job.posting_publish_time in years. Must specify list of numeric buckets in spec.
  • degree_types: histogram by the Job.degree_types, for example, "Bachelors", "Masters".
  • job_level: histogram by the 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, for example, "en-US", "fr-FR".
  • language: histogram by the language subtag of the Job.language_code, for example, "en", "fr".
  • category: histogram by the JobCategory, for example, "COMPUTER_AND_IT", "HEALTHCARE".
  • base_compensation_unit: histogram by the 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. Values can be accessed via square bracket notations like string_custom_attribute["key1"].

  • numeric_custom_attribute: histogram by numeric 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.v4.HistogramQuery histogram_queries = 7;

Parameter
Name Description
index int
Returns
Type Description
HistogramQueryOrBuilder

getHistogramQueriesOrBuilderList()

public List<? extends HistogramQueryOrBuilder> getHistogramQueriesOrBuilderList()

An expression specifies a histogram request against matching jobs.

Expression syntax is an aggregation function call with histogram facets and other options.

Available aggregation function calls are:

  • count(string_histogram_facet): Count the number of matching entities, for each distinct attribute value.

  • count(numeric_histogram_facet, list of buckets): Count the number of matching entities within each bucket.

    A maximum of 200 histogram buckets are supported.

    Data types:

  • Histogram facet: facet names with format a-zA-Z+.

  • 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.

  • employment_type: histogram by Job.employment_types, for example, "FULL_TIME", "PART_TIME".
  • company_size (DEPRECATED): histogram by CompanySize, for example, "SMALL", "MEDIUM", "BIG".
  • publish_time_in_day: histogram by the Job.posting_publish_time in days. Must specify list of numeric buckets in spec.
  • publish_time_in_month: histogram by the Job.posting_publish_time in months. Must specify list of numeric buckets in spec.
  • publish_time_in_year: histogram by the Job.posting_publish_time in years. Must specify list of numeric buckets in spec.
  • degree_types: histogram by the Job.degree_types, for example, "Bachelors", "Masters".
  • job_level: histogram by the 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, for example, "en-US", "fr-FR".
  • language: histogram by the language subtag of the Job.language_code, for example, "en", "fr".
  • category: histogram by the JobCategory, for example, "COMPUTER_AND_IT", "HEALTHCARE".
  • base_compensation_unit: histogram by the 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. Values can be accessed via square bracket notations like string_custom_attribute["key1"].

  • numeric_custom_attribute: histogram by numeric 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.v4.HistogramQuery histogram_queries = 7;

Returns
Type Description
List<? extends com.google.cloud.talent.v4.HistogramQueryOrBuilder>

getJobQuery()

public JobQuery getJobQuery()

Query used to search against jobs, such as keyword, location filters, etc.

.google.cloud.talent.v4.JobQuery job_query = 4;

Returns
Type Description
JobQuery

The jobQuery.

getJobQueryOrBuilder()

public JobQueryOrBuilder getJobQueryOrBuilder()

Query used to search against jobs, such as keyword, location filters, etc.

.google.cloud.talent.v4.JobQuery job_query = 4;

Returns
Type Description
JobQueryOrBuilder

getJobView()

public JobView getJobView()

The desired job attributes returned for jobs in the search response. Defaults to JobView.JOB_VIEW_SMALL if no value is specified.

.google.cloud.talent.v4.JobView job_view = 8;

Returns
Type Description
JobView

The jobView.

getJobViewValue()

public int getJobViewValue()

The desired job attributes returned for jobs in the search response. Defaults to JobView.JOB_VIEW_SMALL if no value is specified.

.google.cloud.talent.v4.JobView job_view = 8;

Returns
Type Description
int

The enum numeric value on the wire for jobView.

getKeywordMatchMode()

public SearchJobsRequest.KeywordMatchMode getKeywordMatchMode()

Controls what keyword match options to use. If both keyword_match_mode and disable_keyword_match are set, keyword_match_mode will take precedence.

Defaults to KeywordMatchMode.KEYWORD_MATCH_ALL if no value is specified.

.google.cloud.talent.v4.SearchJobsRequest.KeywordMatchMode keyword_match_mode = 18;

Returns
Type Description
SearchJobsRequest.KeywordMatchMode

The keywordMatchMode.

getKeywordMatchModeValue()

public int getKeywordMatchModeValue()

Controls what keyword match options to use. If both keyword_match_mode and disable_keyword_match are set, keyword_match_mode will take precedence.

Defaults to KeywordMatchMode.KEYWORD_MATCH_ALL if no value is specified.

.google.cloud.talent.v4.SearchJobsRequest.KeywordMatchMode keyword_match_mode = 18;

Returns
Type Description
int

The enum numeric value on the wire for keywordMatchMode.

getMaxPageSize()

public int getMaxPageSize()

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 max_page_size = 10;

Returns
Type Description
int

The maxPageSize.

getOffset()

public int getOffset()

An integer that specifies the current offset (that is, starting result location, amongst the jobs deemed by the API as relevant) in search results. This field is only considered if page_token is unset.

The maximum allowed value is 5000. Otherwise an error is thrown.

For example, 0 means to return results starting from the first matching job, and 10 means to return from the 11th job. This can be used for pagination, (for example, pageSize = 10 and offset = 10 means to return from the second page).

int32 offset = 9;

Returns
Type Description
int

The offset.

getOrderBy()

public String getOrderBy()

The criteria determining how search results are sorted. Default is "relevance desc".

Supported options are:

  • "relevance desc": By relevance descending, as determined by the API algorithms. Relevance thresholding of query results is only available with this ordering.
  • "posting_publish_time desc": By Job.posting_publish_time descending.
  • "posting_update_time desc": By Job.posting_update_time descending.
  • "title": By Job.title ascending.
  • "title desc": By Job.title descending.
  • "annualized_base_compensation": By job's 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 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 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 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 with weight factor assigned by SearchJobsRequest.CustomRankingInfo.importance_level in descending order.
  • Location sorting: Use the special syntax to order jobs by distance:<br> "distance_from('Hawaii')": Order by distance from Hawaii.<br> "distance_from(19.89, 155.5)": Order by distance from a coordinate.<br> "distance_from('Hawaii'), distance_from('Puerto Rico')": Order by multiple locations. See details below.<br> "distance_from('Hawaii'), distance_from(19.89, 155.5)": Order by multiple locations. See details below.<br> The string can have a maximum of 256 characters. When multiple distance centers are provided, a job that is close to any of the distance centers would have a high rank. When a job has multiple locations, the job location closest to one of the distance centers will be used. Jobs that don't have locations will be ranked at the bottom. Distance is calculated with a precision of 11.3 meters (37.4 feet). Diversification strategy is still applied unless explicitly disabled in diversification_level.

string order_by = 12;

Returns
Type Description
String

The orderBy.

getOrderByBytes()

public ByteString getOrderByBytes()

The criteria determining how search results are sorted. Default is "relevance desc".

Supported options are:

  • "relevance desc": By relevance descending, as determined by the API algorithms. Relevance thresholding of query results is only available with this ordering.
  • "posting_publish_time desc": By Job.posting_publish_time descending.
  • "posting_update_time desc": By Job.posting_update_time descending.
  • "title": By Job.title ascending.
  • "title desc": By Job.title descending.
  • "annualized_base_compensation": By job's 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 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 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 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 with weight factor assigned by SearchJobsRequest.CustomRankingInfo.importance_level in descending order.
  • Location sorting: Use the special syntax to order jobs by distance:<br> "distance_from('Hawaii')": Order by distance from Hawaii.<br> "distance_from(19.89, 155.5)": Order by distance from a coordinate.<br> "distance_from('Hawaii'), distance_from('Puerto Rico')": Order by multiple locations. See details below.<br> "distance_from('Hawaii'), distance_from(19.89, 155.5)": Order by multiple locations. See details below.<br> The string can have a maximum of 256 characters. When multiple distance centers are provided, a job that is close to any of the distance centers would have a high rank. When a job has multiple locations, the job location closest to one of the distance centers will be used. Jobs that don't have locations will be ranked at the bottom. Distance is calculated with a precision of 11.3 meters (37.4 feet). Diversification strategy is still applied unless explicitly disabled in diversification_level.

string order_by = 12;

Returns
Type Description
ByteString

The bytes for orderBy.

getPageToken()

public String getPageToken()

The token specifying the current offset within search results. See SearchJobsResponse.next_page_token for an explanation of how to obtain the next set of query results.

string page_token = 11;

Returns
Type Description
String

The pageToken.

getPageTokenBytes()

public ByteString getPageTokenBytes()

The token specifying the current offset within search results. See SearchJobsResponse.next_page_token for an explanation of how to obtain the next set of query results.

string page_token = 11;

Returns
Type Description
ByteString

The bytes for pageToken.

getParent()

public String getParent()

Required. The resource name of the tenant to search within.

The format is "projects/{project_id}/tenants/{tenant_id}". For example, "projects/foo/tenants/bar".

string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }

Returns
Type Description
String

The parent.

getParentBytes()

public ByteString getParentBytes()

Required. The resource name of the tenant to search within.

The format is "projects/{project_id}/tenants/{tenant_id}". For example, "projects/foo/tenants/bar".

string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }

Returns
Type Description
ByteString

The bytes for parent.

getParserForType()

public Parser<SearchJobsRequest> getParserForType()
Returns
Type Description
Parser<SearchJobsRequest>
Overrides

getRequestMetadata()

public RequestMetadata getRequestMetadata()

Required. The meta information collected about the job searcher, used to improve the search quality of the service. The identifiers (such as user_id) are provided by users, and must be unique and consistent.

.google.cloud.talent.v4.RequestMetadata request_metadata = 3 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
RequestMetadata

The requestMetadata.

getRequestMetadataOrBuilder()

public RequestMetadataOrBuilder getRequestMetadataOrBuilder()

Required. The meta information collected about the job searcher, used to improve the search quality of the service. The identifiers (such as user_id) are provided by users, and must be unique and consistent.

.google.cloud.talent.v4.RequestMetadata request_metadata = 3 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
RequestMetadataOrBuilder

getSearchMode()

public SearchJobsRequest.SearchMode getSearchMode()

Mode of a search.

Defaults to SearchMode.JOB_SEARCH.

.google.cloud.talent.v4.SearchJobsRequest.SearchMode search_mode = 2;

Returns
Type Description
SearchJobsRequest.SearchMode

The searchMode.

getSearchModeValue()

public int getSearchModeValue()

Mode of a search.

Defaults to SearchMode.JOB_SEARCH.

.google.cloud.talent.v4.SearchJobsRequest.SearchMode search_mode = 2;

Returns
Type Description
int

The enum numeric value on the wire for searchMode.

getSerializedSize()

public int getSerializedSize()
Returns
Type Description
int
Overrides

hasCustomRankingInfo()

public boolean hasCustomRankingInfo()

Controls over how job documents get ranked on top of existing relevance score (determined by API algorithm).

.google.cloud.talent.v4.SearchJobsRequest.CustomRankingInfo custom_ranking_info = 14;

Returns
Type Description
boolean

Whether the customRankingInfo field is set.

hasJobQuery()

public boolean hasJobQuery()

Query used to search against jobs, such as keyword, location filters, etc.

.google.cloud.talent.v4.JobQuery job_query = 4;

Returns
Type Description
boolean

Whether the jobQuery field is set.

hasRequestMetadata()

public boolean hasRequestMetadata()

Required. The meta information collected about the job searcher, used to improve the search quality of the service. The identifiers (such as user_id) are provided by users, and must be unique and consistent.

.google.cloud.talent.v4.RequestMetadata request_metadata = 3 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
boolean

Whether the requestMetadata field is set.

hashCode()

public int hashCode()
Returns
Type Description
int
Overrides

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
Type Description
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
Type Description
boolean
Overrides

newBuilderForType()

public SearchJobsRequest.Builder newBuilderForType()
Returns
Type Description
SearchJobsRequest.Builder

newBuilderForType(GeneratedMessageV3.BuilderParent parent)

protected SearchJobsRequest.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Parameter
Name Description
parent BuilderParent
Returns
Type Description
SearchJobsRequest.Builder
Overrides

newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Parameter
Name Description
unused UnusedPrivateParameter
Returns
Type Description
Object
Overrides

toBuilder()

public SearchJobsRequest.Builder toBuilder()
Returns
Type Description
SearchJobsRequest.Builder

writeTo(CodedOutputStream output)

public void writeTo(CodedOutputStream output)
Parameter
Name Description
output CodedOutputStream
Overrides
Exceptions
Type Description
IOException