我想运行具有数千行总结果的BigQuery查询,但我只希望一次检索100个结果的页面(使用maxResults
和pageToken
参数)。
BigQuery API支持在pageToken
方法上使用collection.list
参数。但是,我正在运行异步查询并使用getQueryResult
方法检索结果,并且它似乎不支持pageToken
参数。是否可以将pageToken
与getQueryResults
一起使用?
答案 0 :(得分:11)
更新:有关于如何page through list results here的新文档。
我正在回答这个问题,因为开发人员私下问我这个问题,我想在Stack Overflow上分享答案。
在从Tabledata.list方法请求分页结果时,可以使用pageToken参数。例如,当结果数据超过100k行或10 MB结果时,结果集会自动分页。您还可以通过显式设置maxResults参数来请求结果分页。每个结果页面都会返回一个pageToken参数,然后可以使用该参数检索下一页结果。
每个查询都会生成一个新的BigQuery表。如果您没有明确地命名表格,它只会持续24小时。但是,即使未命名的“匿名”表也有标识符。在任何一种情况下,在插入查询作业后,检索新创建的表的名称。然后使用tabledata.list方法(以及maxResults / pageToken参数的组合)以分页形式请求结果。循环并继续使用先前检索到的pageToken调用tabledata.list,直到不再返回pageTokens(意味着您已到达最后一页。
使用适用于Java的Google API客户端库,插入查询作业,轮询查询完成,然后逐页检索查询结果的代码可能如下所示:
// Create a new BigQuery client authorized via OAuth 2.0 protocol
// See: https://developers.google.com/bigquery/docs/authorization#installed-applications
Bigquery bigquery = createAuthorizedClient();
// Start a Query Job
String querySql = "SELECT TOP(word, 500), COUNT(*) FROM publicdata:samples.shakespeare";
JobReference jobId = startQuery(bigquery, PROJECT_ID, querySql);
// Poll for Query Results, return result output
TableReference completedJob = checkQueryResults(bigquery, PROJECT_ID, jobId);
// Return and display the results of the Query Job
displayQueryResults(bigquery, completedJob);
/**
* Inserts a Query Job for a particular query
*/
public static JobReference startQuery(Bigquery bigquery, String projectId,
String querySql) throws IOException {
System.out.format("\nInserting Query Job: %s\n", querySql);
Job job = new Job();
JobConfiguration config = new JobConfiguration();
JobConfigurationQuery queryConfig = new JobConfigurationQuery();
config.setQuery(queryConfig);
job.setConfiguration(config);
queryConfig.setQuery(querySql);
Insert insert = bigquery.jobs().insert(projectId, job);
insert.setProjectId(projectId);
JobReference jobId = insert.execute().getJobReference();
System.out.format("\nJob ID of Query Job is: %s\n", jobId.getJobId());
return jobId;
}
/**
* Polls the status of a BigQuery job, returns TableReference to results if "DONE"
*/
private static TableReference checkQueryResults(Bigquery bigquery, String projectId, JobReference jobId)
throws IOException, InterruptedException {
// Variables to keep track of total query time
long startTime = System.currentTimeMillis();
long elapsedTime;
while (true) {
Job pollJob = bigquery.jobs().get(projectId, jobId.getJobId()).execute();
elapsedTime = System.currentTimeMillis() - startTime;
System.out.format("Job status (%dms) %s: %s\n", elapsedTime,
jobId.getJobId(), pollJob.getStatus().getState());
if (pollJob.getStatus().getState().equals("DONE")) {
return pollJob.getConfiguration().getQuery().getDestinationTable();
}
// Pause execution for one second before polling job status again, to
// reduce unnecessary calls to the BigQUery API and lower overall
// application bandwidth.
Thread.sleep(1000);
}
}
/**
* Page through the result set
*/
private static void displayQueryResults(Bigquery bigquery,
TableReference completedJob) throws IOException {
long maxResults = 20;
String pageToken = null;
int page = 1;
// Default to not looping
boolean moreResults = false;
do {
TableDataList queryResult = bigquery.tabledata().list(
completedJob.getProjectId(),
completedJob.getDatasetId(),
completedJob.getTableId())
.setMaxResults(maxResults)
.setPageToken(pageToken)
.execute();
List<TableRow> rows = queryResult.getRows();
System.out.print("\nQuery Results, Page #" + page + ":\n------------\n");
for (TableRow row : rows) {
for (TableCell field : row.getF()) {
System.out.printf("%-50s", field.getV());
}
System.out.println();
}
if (queryResult.getPageToken() != null) {
pageToken = queryResult.getPageToken();
moreResults = true;
page++;
} else {
moreResults = false;
}
} while (moreResults);
}