BigQuery 外部数据源查询配额
BigQuery External Data Source Query Quotas
我使用 Cloud BigTable 外部数据源设置了 BigQuery table。这工作正常,我能够 运行 查询将我的 BigTable 数据连接到我的其他一些 BigQuery 数据。但是,当我 运行 同时对这个 table 进行了太多查询时,我收到以下错误:
Error encountered during job execution:
Exceeded rate limits: too many concurrent queries that read Cloud Bigtable data sources for this project. For more information, see https://cloud.google.com/bigquery/troubleshooting-errors
我在链接页面或 BigQuery 配额和限制页面上找不到任何关于并发查询限制的文档。我在这里 运行 没有那么多查询 - 一次最多 10 个。有没有人 运行 知道实际的并发查询限制是多少?
编辑:
所以人们不必仔细阅读随附的 Google 票证,正确答案(截至 2018 年 4 月)是 4 个并发查询。
你应该寻找 Quotas & Limits for Query Jobs
The following limits apply to query jobs created automatically by running interactive queries and to jobs submitted programmatically using jobs.query and query-type jobs.insert method calls.
Concurrent rate limit for on-demand, interactive queries — 50 concurrent queries
Queries with results that are returned from the query cache, and dry run queries do not count against this limit. You can specify a dry run query using the --dry_run flag or by setting the dryRun property in a query job.
Concurrent rate limit for queries that contain user-defined functions (UDFs) — 6 concurrent queries
The concurrent rate limit for queries that contain UDFs includes both interactive and batch queries. Interactive queries that contain UDFs also count toward the concurrent rate limit for interactive queries.
您可以在提供的 link
中找到更多信息
我使用 Cloud BigTable 外部数据源设置了 BigQuery table。这工作正常,我能够 运行 查询将我的 BigTable 数据连接到我的其他一些 BigQuery 数据。但是,当我 运行 同时对这个 table 进行了太多查询时,我收到以下错误:
Error encountered during job execution: Exceeded rate limits: too many concurrent queries that read Cloud Bigtable data sources for this project. For more information, see https://cloud.google.com/bigquery/troubleshooting-errors
我在链接页面或 BigQuery 配额和限制页面上找不到任何关于并发查询限制的文档。我在这里 运行 没有那么多查询 - 一次最多 10 个。有没有人 运行 知道实际的并发查询限制是多少?
编辑:
所以人们不必仔细阅读随附的 Google 票证,正确答案(截至 2018 年 4 月)是 4 个并发查询。
你应该寻找 Quotas & Limits for Query Jobs
The following limits apply to query jobs created automatically by running interactive queries and to jobs submitted programmatically using jobs.query and query-type jobs.insert method calls.
Concurrent rate limit for on-demand, interactive queries — 50 concurrent queries Queries with results that are returned from the query cache, and dry run queries do not count against this limit. You can specify a dry run query using the --dry_run flag or by setting the dryRun property in a query job.
Concurrent rate limit for queries that contain user-defined functions (UDFs) — 6 concurrent queries The concurrent rate limit for queries that contain UDFs includes both interactive and batch queries. Interactive queries that contain UDFs also count toward the concurrent rate limit for interactive queries.
您可以在提供的 link
中找到更多信息