我有一个包含以下7个每日汇总表的数据集，每个汇总表都很小：
summary_broad_20130104_hourly 199 k rows 8395 KB
summary_broad_20130105_hourly 198 k rows 8347 KB
summary_broad_20130106_hourly 197 k rows 8319 KB
summary_broad_20130107_hourly 194 k rows 8190 KB
summary_broad_20130108_hourly 197 k rows 8338 KB
summary_broad_20130109_hourly 201 k rows 8490 KB
summary_broad_20130110_hourly 202 k rows 8534 KB
在所有这些表（04-10）上执行简单的select count(*)时，我得到“响应太大”：
$ bq query "select count(*) from summary_broad_20130104_hourly,summary_broad_20130105_hourly,summary_broad_20130106_hourly,summary_broad_20130107_hourly,summary_broad_20130108_hourly,summary_broad_20130109_hourly,summary_broad_20130110_hourly"
BigQuery error in query operation: Error processing job '987928363675:job_bb504ce6ea31416db3f8762d3c244d93': Response too large to return.
但是，如果我将查询限制为表04-06：
，我会得到成功的响应$ bq query "select count(*) from summary_broad_20130104_hourly,summary_broad_20130105_hourly,summary_broad_20130106_hourly"
+--------+
| f0_ |
+--------+
| 594721 |
+--------+
但如果我延伸到04-07表，那么我可以再次重新发出错误：
$ bq query "select count(*) from summary_broad_20130104_hourly,summary_broad_20130105_hourly,summary_broad_20130106_hourly,summary_broad_20130107_hourly"
BigQuery error in query operation: Error processing job '987928363675:job_22ea222b4b0549a98bb9e90f1a2ac539': Response too large to return.
这是一个错误，还是我做错了什么？查询的数据很小（04-07案例中约为40MB），我希望select count(*)是一个节点本地聚合，中间数据量可以忽略不计。
答案 0 :(得分：0)
事实上，这是一个错误。我们正在调查它，可以在本地重复它，并希望很快得到修复。