插入¶

INSERT weather,location=us-midwest temperature=82 1465839830100400200

SELECT mean("website") AS "mean_website",mean("phone") AS "mean_phone"
      INTO "a_year"."downsampled_orders"


select gadget_id as gadget_id, value as value FROM device_active_day
where time > now() -4d into abc

INTO子句¶

语法:

SELECT_clause INTO <measurement_name> FROM_clause [WHERE_clause] [GROUP_BY_clause]

例一：重命名数据库:

tag将作为field存储在目标数据库(NewDB)
> SELECT * INTO "NewDB"."autogen".:MEASUREMENT
FROM "DB"."autogen"./.*/ GROUP BY *

当移动大量数据时，我们建议在WHERE子句中顺序运行不同measurement的INTO查询并使用时间边界。
这样可以防止系统内存不足。下面的代码块提供了这些查询的示例语法
SELECT *
INTO <destination_database>.<retention_policy_name>.<measurement_name>
FROM <source_database>.<retention_policy_name>.<measurement_name>
WHERE time > now() - 100w and time < now() - 90w GROUP BY *

SELECT *
INTO <destination_database>.<retention_policy_name>.<measurement_name>
FROM <source_database>.<retention_policy_name>.<measurement_name>}
WHERE time > now() - 90w  and time < now() - 80w GROUP BY *

SELECT *
INTO <destination_database>.<retention_policy_name>.<measurement_name>
FROM <source_database>.<retention_policy_name>.<measurement_name>
WHERE time > now() - 80w  and time < now() - 70w GROUP BY *

例二：将查询结果写入到一个measurement:

> SELECT "water_level" INTO "h2o_feet_copy_1" FROM "h2o_feet"
WHERE "location" = 'coyote_creek'

例三：将查询结果写入到一个完全指定的measurement中:

> SELECT "water_level" INTO "where_else"."autogen"."h2o_feet_copy_2"
FROM "h2o_feet" WHERE "location" = 'coyote_creek'

例四：将聚合结果写入到一个measurement中(采样):

> SELECT MEAN("water_level") INTO "all_my_averages" FROM "h2o_feet"
WHERE time >= '2015-08-18T00:00:00Z' AND time <= '2015-08-18T00:30:00Z'
GROUP BY time(12m)

例五：将多个measurement的聚合结果写入到一个不同的数据库中(逆向引用采样):

> SELECT MEAN(*) INTO "where_else"."autogen".:MEASUREMENT FROM /.*/
WHERE time >= '2015-08-18T00:00:00Z' AND time <= '2015-08-18T00:06:00Z'
GROUP BY time(12m)