public final class SearchJobsRequest extends GeneratedMessageV3 implements SearchJobsRequestOrBuilder
The Request body of the SearchJobs call.
Protobuf type google.cloud.talent.v4.SearchJobsRequest
Static Fields
CUSTOM_RANKING_INFO_FIELD_NUMBER
public static final int CUSTOM_RANKING_INFO_FIELD_NUMBER
Field Value
DISABLE_KEYWORD_MATCH_FIELD_NUMBER
public static final int DISABLE_KEYWORD_MATCH_FIELD_NUMBER
Field Value
DIVERSIFICATION_LEVEL_FIELD_NUMBER
public static final int DIVERSIFICATION_LEVEL_FIELD_NUMBER
Field Value
ENABLE_BROADENING_FIELD_NUMBER
public static final int ENABLE_BROADENING_FIELD_NUMBER
Field Value
HISTOGRAM_QUERIES_FIELD_NUMBER
public static final int HISTOGRAM_QUERIES_FIELD_NUMBER
Field Value
JOB_QUERY_FIELD_NUMBER
public static final int JOB_QUERY_FIELD_NUMBER
Field Value
JOB_VIEW_FIELD_NUMBER
public static final int JOB_VIEW_FIELD_NUMBER
Field Value
KEYWORD_MATCH_MODE_FIELD_NUMBER
public static final int KEYWORD_MATCH_MODE_FIELD_NUMBER
Field Value
MAX_PAGE_SIZE_FIELD_NUMBER
public static final int MAX_PAGE_SIZE_FIELD_NUMBER
Field Value
OFFSET_FIELD_NUMBER
public static final int OFFSET_FIELD_NUMBER
Field Value
ORDER_BY_FIELD_NUMBER
public static final int ORDER_BY_FIELD_NUMBER
Field Value
PAGE_TOKEN_FIELD_NUMBER
public static final int PAGE_TOKEN_FIELD_NUMBER
Field Value
PARENT_FIELD_NUMBER
public static final int PARENT_FIELD_NUMBER
Field Value
public static final int REQUEST_METADATA_FIELD_NUMBER
Field Value
SEARCH_MODE_FIELD_NUMBER
public static final int SEARCH_MODE_FIELD_NUMBER
Field Value
Static Methods
getDefaultInstance()
public static SearchJobsRequest getDefaultInstance()
Returns
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
Returns
newBuilder()
public static SearchJobsRequest.Builder newBuilder()
Returns
newBuilder(SearchJobsRequest prototype)
public static SearchJobsRequest.Builder newBuilder(SearchJobsRequest prototype)
Parameter
Returns
public static SearchJobsRequest parseDelimitedFrom(InputStream input)
Parameter
Returns
Exceptions
public static SearchJobsRequest parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Returns
Exceptions
parseFrom(byte[] data)
public static SearchJobsRequest parseFrom(byte[] data)
Parameter
| Name | Description |
| data | byte[]
|
Returns
Exceptions
parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
public static SearchJobsRequest parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
Parameters
Returns
Exceptions
parseFrom(ByteString data)
public static SearchJobsRequest parseFrom(ByteString data)
Parameter
Returns
Exceptions
parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
public static SearchJobsRequest parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
Parameters
Returns
Exceptions
public static SearchJobsRequest parseFrom(CodedInputStream input)
Parameter
Returns
Exceptions
public static SearchJobsRequest parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Returns
Exceptions
public static SearchJobsRequest parseFrom(InputStream input)
Parameter
Returns
Exceptions
public static SearchJobsRequest parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Returns
Exceptions
parseFrom(ByteBuffer data)
public static SearchJobsRequest parseFrom(ByteBuffer data)
Parameter
Returns
Exceptions
parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
public static SearchJobsRequest parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
Parameters
Returns
Exceptions
parser()
public static Parser<SearchJobsRequest> parser()
Returns
Methods
equals(Object obj)
public boolean equals(Object obj)
Parameter
Returns
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;
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;
getDefaultInstanceForType()
public SearchJobsRequest getDefaultInstanceForType()
Returns
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=739
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];
| 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;
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;
| 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;
| 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: 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;
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: 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;
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: 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;
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: 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;
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: 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;
| 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;
getJobQueryOrBuilder()
public JobQueryOrBuilder getJobQueryOrBuilder()
Query used to search against jobs, such as keyword, location filters, etc.
.google.cloud.talent.v4.JobQuery job_query = 4;
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;
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;
| 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;
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;
| 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;
| Type | Description |
| int | The maxPageSize.
|
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;
| 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;
| 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;
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;
| 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;
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) = { ... }
| 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) = { ... }
getParserForType()
public Parser<SearchJobsRequest> getParserForType()
Returns
Overrides
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];
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];
getSearchMode()
public SearchJobsRequest.SearchMode getSearchMode()
Mode of a search.
Defaults to SearchMode.JOB_SEARCH.
.google.cloud.talent.v4.SearchJobsRequest.SearchMode search_mode = 2;
getSearchModeValue()
public int getSearchModeValue()
Mode of a search.
Defaults to SearchMode.JOB_SEARCH.
.google.cloud.talent.v4.SearchJobsRequest.SearchMode search_mode = 2;
| Type | Description |
| int | The enum numeric value on the wire for searchMode.
|
getSerializedSize()
public int getSerializedSize()
Returns
Overrides
getUnknownFields()
public final UnknownFieldSet getUnknownFields()
Returns
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;
| 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;
| Type | Description |
| boolean | Whether the jobQuery field is set.
|
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];
| Type | Description |
| boolean | Whether the requestMetadata field is set.
|
hashCode()
Returns
Overrides
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
Overrides
isInitialized()
public final boolean isInitialized()
Returns
Overrides
newBuilderForType()
public SearchJobsRequest.Builder newBuilderForType()
Returns
newBuilderForType(GeneratedMessageV3.BuilderParent parent)
protected SearchJobsRequest.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Parameter
Returns
Overrides
newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Parameter
Returns
Overrides
toBuilder()
public SearchJobsRequest.Builder toBuilder()
Returns
writeTo(CodedOutputStream output)
public void writeTo(CodedOutputStream output)
Parameter
Overrides
Exceptions
