使用直方图查询搜索职位 (v4beta1)

使用直方图查询搜索职位。

包含此代码示例的文档页面

如需查看上下文中使用的代码示例,请参阅以下文档:

代码示例

Go

import (
	"context"
	"fmt"
	"io"

	talent "cloud.google.com/go/talent/apiv4beta1"
	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 {
		return fmt.Errorf("talent.NewJobClient: %v", err)
	}
	defer c.Close()

	// 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{
			Companies: []string{fmt.Sprintf("projects/%s/companies/%s", projectID, companyID)},
		}
	}

	resp, err := c.SearchJobs(ctx, req)
	if err != nil {
		return fmt.Errorf("SearchJobs: %v", err)
	}

	for _, job := range resp.GetMatchingJobs() {
		fmt.Fprintf(w, "Job: %q\n", job.GetJob().GetName())
	}

	return nil
}

Java

/*
 * Please include the following imports to run this sample.
 *
 * 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.MatchingJob;
 * import com.google.cloud.talent.v4beta1.TenantName;
 * import com.google.cloud.talent.v4beta1.TenantOrProjectName;
 * import java.util.Arrays;
 * import java.util.List;
 */

public static void sampleSearchJobs() {
  // TODO(developer): Replace these variables before running the sample.
  String projectId = "Your Google Cloud Project ID";
  String tenantId = "Your Tenant ID (using tenancy is optional)";
  String query = "count(base_compensation, [bucket(12, 20)])";
  sampleSearchJobs(projectId, tenantId, query);
}

/**
 * Search Jobs with histogram queries
 *
 * @param 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
 */
public static void sampleSearchJobs(String projectId, String tenantId, String query) {
  try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
    TenantOrProjectName parent = TenantName.of(projectId, tenantId);
    String domain = "www.example.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();
    List<HistogramQuery> histogramQueries = Arrays.asList(histogramQueriesElement);
    SearchJobsRequest request =
        SearchJobsRequest.newBuilder()
            .setParent(parent.toString())
            .setRequestMetadata(requestMetadata)
            .addAllHistogramQueries(histogramQueries)
            .build();
    for (SearchJobsResponse.MatchingJob responseItem :
        jobServiceClient.searchJobs(request).iterateAll()) {
      System.out.printf("Job summary: %s\n", responseItem.getJobSummary());
      System.out.printf("Job title snippet: %s\n", responseItem.getJobTitleSnippet());
      Job job = responseItem.getJob();
      System.out.printf("Job name: %s\n", job.getName());
      System.out.printf("Job title: %s\n", job.getTitle());
    }
  } catch (Exception exception) {
    System.err.println("Failed to create the client due to: " + exception);
  }
}

Node.js


const talent = require('@google-cloud/talent').v4;

/**
 * Search Jobs with histogram queries
 *
 * @param query {string} Histogram query
 * More info on histogram facets, constants, and built-in functions:
 * https://godoc.org/google.golang.org/genproto/googleapis/cloud/talent/v4beta1#SearchJobsRequest
 */
function sampleSearchJobs(projectId, tenantId, query) {
  const client = new talent.JobServiceClient();
  // Iterate over all elements.
  // const projectId = 'Your Google Cloud Project ID';
  // const tenantId = 'Your Tenant ID (using tenancy is optional)';
  // const query = 'count(base_compensation, [bucket(12, 20)])';
  const formattedParent = client.tenantPath(projectId, tenantId);
  const domain = 'www.example.com';
  const sessionId = 'Hashed session identifier';
  const userId = 'Hashed user identifier';
  const requestMetadata = {
    domain: domain,
    sessionId: sessionId,
    userId: userId,
  };
  const histogramQueriesElement = {
    histogramQuery: query,
  };
  const histogramQueries = [histogramQueriesElement];
  const request = {
    parent: formattedParent,
    requestMetadata: requestMetadata,
    histogramQueries: histogramQueries,
  };

  client
    .searchJobs(request)
    .then(responses => {
      const resources = responses[0];
      for (const resource of resources.matchingJobs) {
        console.log(`Job summary: ${resource.jobSummary}`);
        console.log(`Job title snippet: ${resource.jobTitleSnippet}`);
        const job = resource.job;
        console.log(`Job name: ${job.name}`);
        console.log(`Job title: ${job.title}`);
      }
    })
    .catch(err => {
      console.error(err);
    });
}

Python


from google.cloud import talent
import six

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, six.binary_type):
        project_id = project_id.decode("utf-8")
    if isinstance(tenant_id, six.binary_type):
        tenant_id = tenant_id.decode("utf-8")
    if isinstance(query, six.binary_type):
        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

后续步骤

如需搜索和过滤其他 Google Cloud 产品的代码示例,请参阅 Google Cloud 示例浏览器