直方图 (v3)

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 searchType 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。要定义直方图的维度和参数，请按照本指南中的说明执行操作。

直方图通常与搜索调用并行运行，并使用相同的 JobQuery 和 requestMetadata。

请求

您可以通过底层 search API 获得直方图。在 search API 上设置 histogramFacets 并定义请求的过滤条件即可实现这一目的。请注意，直方图会遵循搜索查询中定义的所有过滤条件。以下示例展示了检索直方图的机制。

必填字段

searchTypes 是要返回计数的类别的列表。例如，指定 EMPLOYMENT_TYPE（全职或兼职等）以返回工作性质的计数。如需查看枚举的详细列表，请参阅 SearchType。

可选字段

jobQuery 是要在此搜索中执行的招聘信息查询。如需了解详情，请参阅搜索过滤条件。本示例中未应用任何查询。
requestMetadata 包含发起搜索的用户的相关信息。如需了解详情，请参阅职位搜索页面的 RequestMetadata 部分。
enableBroadening 可放宽对搜索请求中位置和职位类别的限制，以返回更多结果。例如，如果请求指定搜索某个位置半径 20 英里内的招聘信息，则将此标志设置为 true 可以返回超出该半径范围的招聘信息。以下示例不包括扩展的结果。

示例

以下示例返回符合 COMPANY_ID 和 customAttribute someFieldName1 的招聘信息计数列表：

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。


/** Histogram search */
public static void histogramSearch(String companyName) throws IOException, InterruptedException {
  // Make sure to set the requestMetadata the same as the associated search request
  RequestMetadata requestMetadata =
      new RequestMetadata()
          // Make sure to hash your userID
          .setUserId("HashedUserId")
          // Make sure to hash the sessionID
          .setSessionId("HashedSessionID")
          // Domain of the website where the search is conducted
          .setDomain("www.google.com");

  HistogramFacets histogramFacets =
      new HistogramFacets()
          .setSimpleHistogramFacets(Arrays.asList("COMPANY_ID"))
          .setCustomAttributeHistogramFacets(
              Arrays.asList(
                  new CustomAttributeHistogramRequest()
                      .setKey("someFieldName1")
                      .setStringValueHistogram(true)));

  // conducted.
  SearchJobsRequest searchJobsRequest =
      new SearchJobsRequest()
          .setRequestMetadata(requestMetadata)
          .setSearchMode("JOB_SEARCH")
          .setHistogramFacets(histogramFacets);
  if (companyName != null) {
    searchJobsRequest.setJobQuery(new JobQuery().setCompanyNames(Arrays.asList(companyName)));
  }

  SearchJobsResponse searchJobsResponse =
      talentSolutionClient
          .projects()
          .jobs()
          .search(DEFAULT_PROJECT_ID, searchJobsRequest)
          .execute();
  Thread.sleep(1000);

  System.out.printf("Histogram search results: %s\n", searchJobsResponse);
}

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。

def histogram_search(client_service, company_name):
    request_metadata = {
        "user_id": "HashedUserId",
        "session_id": "HashedSessionId",
        "domain": "www.google.com",
    }
    custom_attribute_histogram_facet = {
        "key": "someFieldName1",
        "string_value_histogram": True,
    }
    histogram_facets = {
        "simple_histogram_facets": ["COMPANY_ID"],
        "custom_attribute_histogram_facets": [custom_attribute_histogram_facet],
    }
    request = {
        "search_mode": "JOB_SEARCH",
        "request_metadata": request_metadata,
        "histogram_facets": histogram_facets,
    }
    if company_name is not None:
        request.update({"job_query": {"company_names": [company_name]}})
    response = (
        client_service.projects().jobs().search(parent=parent, body=request).execute()
    )
    print(response)

Go

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。


// histogramSearch searches for jobs with histogram facets.
func histogramSearch(w io.Writer, projectID, companyName string) (*talent.SearchJobsResponse, error) {
	ctx := context.Background()

	client, err := google.DefaultClient(ctx, talent.CloudPlatformScope)
	if err != nil {
		return nil, fmt.Errorf("google.DefaultClient: %w", err)
	}
	// Create the jobs service client.
	service, err := talent.New(client)
	if err != nil {
		return nil, fmt.Errorf("talent.New: %w", err)
	}

	parent := "projects/" + projectID
	req := &talent.SearchJobsRequest{
		// Make sure to set the RequestMetadata the same as the associated
		// search request.
		RequestMetadata: &talent.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",
		},
		HistogramFacets: &talent.HistogramFacets{
			SimpleHistogramFacets: []string{"COMPANY_ID"},
			CustomAttributeHistogramFacets: []*talent.CustomAttributeHistogramRequest{
				{
					Key:                  "someFieldString",
					StringValueHistogram: true,
				},
			},
		},
		// Set the search mode to a regular search.
		SearchMode:               "JOB_SEARCH",
		RequirePreciseResultSize: true,
	}
	if companyName != "" {
		req.JobQuery = &talent.JobQuery{
			CompanyNames: []string{companyName},
		}
	}

	resp, err := service.Projects.Jobs.Search(parent, req).Do()
	if err != nil {
		return nil, fmt.Errorf("failed to search for jobs with Historgram Facets: %w", err)
	}

	fmt.Fprintln(w, "Jobs:")
	for _, j := range resp.MatchingJobs {
		fmt.Fprintf(w, "\t%q\n", j.Job.Name)
	}

	return resp, nil
}

直方图 (v3)

请求

必填字段

可选字段

示例

Java

Python

Go

相关性阈值