Cloud Talent Solution 可通过直方图的形式向您显示与给定搜索关联的职位数量。直方图搜索会返回与特定查询匹配的所有职位的计数，并按请求的 SearchMode 细分。例如，直方图搜索可能会按照工作性质（全职、兼职等）返回加州山景城已有的职位数量。
直方图通常与搜索调用并行运行，并使用相同的 JobQuery 和 requestMetadata。
直方图由 histogramQuery 字段定义，该字段是单个字符串表达式。如需详细了解适用于直方图查询的功能，请参阅 histogramQuery 文档。
检索直方图
以下代码示例会返回直方图结果：
Go
如需了解如何安装和使用适用于 CTS 的客户端库，请参阅 CTS 客户端库。 如需了解详情，请参阅 CTS Go API 参考文档。
如需向 CTS 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。
import (
"context"
"fmt"
"io"
talent "cloud.google.com/go/talent/apiv4beta1"
"google.golang.org/api/iterator"
talentpb "google.golang.org/genproto/googleapis/cloud/talent/v4beta1"
)
// histogramSearch searches for jobs with histogram queries.
func histogramSearch(w io.Writer, projectID, companyID string) error {
ctx := context.Background()
// Initialize a jobService client.
c, err := talent.NewJobClient(ctx)
if err != nil {
fmt.Printf("talent.NewJobClient: %v\n", err)
return err
}
// Construct a searchJobs request.
req := &talentpb.SearchJobsRequest{
Parent: fmt.Sprintf("projects/%s", projectID),
// Make sure to set the RequestMetadata the same as the associated
// search request.
RequestMetadata: &talentpb.RequestMetadata{
// Make sure to hash your userId.
UserId: "HashedUsrID",
// Make sure to hash the sessionId.
SessionId: "HashedSessionID",
// Domain of the website where the search is conducted.
Domain: "www.googlesample.com",
},
HistogramQueries: []*talentpb.HistogramQuery{
{
// More info on histogram facets, constants, and built-in functions:
// https://godoc.org/google.golang.org/genproto/googleapis/cloud/talent/v4beta1#SearchJobsRequest
HistogramQuery: "count(base_compensation, [bucket(12, 20)])",
},
},
}
if companyID != "" {
req.JobQuery = &talentpb.JobQuery{
CompanyNames: []string{fmt.Sprintf("projects/%s/companies/%s", projectID, companyID)},
}
}
it := c.SearchJobs(ctx, req)
for {
resp, err := it.Next()
if err == iterator.Done {
return nil
}
if err != nil {
fmt.Printf("it.Next: %v\n", err)
return err
}
fmt.Fprintf(w, "Job: %q\n", resp.Job.GetName())
}
}
Java
如需详细了解如何安装和创建 Cloud Talent Solution 客户端，请参阅 Cloud Talent Solution 客户端库。
import com.google.cloud.talent.v4beta1.HistogramQuery;
import com.google.cloud.talent.v4beta1.Job;
import com.google.cloud.talent.v4beta1.JobServiceClient;
import com.google.cloud.talent.v4beta1.RequestMetadata;
import com.google.cloud.talent.v4beta1.SearchJobsRequest;
import com.google.cloud.talent.v4beta1.SearchJobsResponse;
import com.google.cloud.talent.v4beta1.TenantName;
import java.io.IOException;
public class HistogramSearchJobs {
public static void searchJobs() throws IOException {
// TODO(developer): Replace these variables before running the sample.
String projectId = "your-project-id";
String tenantId = "your-tenant-id";
String query = "count(base_compensation, [bucket(12, 20)])";
searchJobs(projectId, tenantId, query);
}
// Search Jobs with histogram queries.
public static void searchJobs(String projectId, String tenantId, String query)
throws IOException {
// Initialize client that will be used to send requests. This client only needs to be created
// once, and can be reused for multiple requests. After completing all of your requests, call
// the "close" method on the client to safely clean up any remaining background resources.
try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
TenantName parent = TenantName.of(projectId, tenantId);
String domain = "http://www.jobUrl.com";
String sessionId = "Hashed session identifier";
String userId = "Hashed user identifier";
RequestMetadata requestMetadata =
RequestMetadata.newBuilder()
.setDomain(domain)
.setSessionId(sessionId)
.setUserId(userId)
.build();
HistogramQuery histogramQueriesElement =
HistogramQuery.newBuilder().setHistogramQuery(query).build();
SearchJobsRequest request =
SearchJobsRequest.newBuilder()
.setParent(parent.toString())
.setRequestMetadata(requestMetadata)
.addHistogramQueries(histogramQueriesElement)
.build();
for (SearchJobsResponse.MatchingJob responseItem :
jobServiceClient.searchJobs(request).iterateAll()) {
System.out.format("Job summary: %s%n", responseItem.getJobSummary());
System.out.format("Job title snippet: %s%n", responseItem.getJobTitleSnippet());
Job job = responseItem.getJob();
System.out.format("Job name: %s%n", job.getName());
System.out.format("Job title: %s%n", job.getTitle());
}
}
}
}Python
如需详细了解如何安装和创建 Cloud Talent Solution 客户端，请参阅 Cloud Talent Solution 客户端库。
from google.cloud import talent
def search_jobs(project_id, tenant_id, query):
"""
Search Jobs with histogram queries
Args:
query Histogram query
More info on histogram facets, constants, and built-in functions:
https://godoc.org/google.golang.org/genproto/googleapis/cloud/talent/v4beta1#SearchJobsRequest
"""
client = talent.JobServiceClient()
# project_id = 'Your Google Cloud Project ID'
# tenant_id = 'Your Tenant ID (using tenancy is optional)'
# query = 'count(base_compensation, [bucket(12, 20)])'
if isinstance(project_id, bytes):
project_id = project_id.decode("utf-8")
if isinstance(tenant_id, bytes):
tenant_id = tenant_id.decode("utf-8")
if isinstance(query, bytes):
query = query.decode("utf-8")
parent = f"projects/{project_id}/tenants/{tenant_id}"
domain = "www.example.com"
session_id = "Hashed session identifier"
user_id = "Hashed user identifier"
request_metadata = {"domain": domain, "session_id": session_id, "user_id": user_id}
histogram_queries_element = {"histogram_query": query}
histogram_queries = [histogram_queries_element]
# Iterate over all results
results = []
request = talent.SearchJobsRequest(
parent=parent,
request_metadata=request_metadata,
histogram_queries=histogram_queries,
)
for response_item in client.search_jobs(request=request).matching_jobs:
print("Job summary: {response_item.job_summary}")
print("Job title snippet: {response_item.job_title_snippet}")
job = response_item.job
results.append(job)
print("Job name: {job.name}")
print("Job title: {job.title}")
return results
相关性阈值
直方图请求不使用相关性阈值。要确保直方图搜索与相同的职位搜索之间的计数一致，职位搜索中的 disableKeywordMatch 必须为 false。