Influxdb group by time offset. The second is to use flux to query your data.

Influxdb group by time offset See full list on cnblogs. If a query includes the GROUP BY clause and doesn’t specify a time range in the WHERE clause, the default time group is the default time range, and the time column in the result set contains the start of the Thank you for being part of our community! We welcome and encourage your feedback and bug reports for InfluxDB and this documentation. The list of columns to include or exclude (depending on the mode) in the grouping operation. . Use the offset argument of the time() function to shift time boundaries forward or backward in time. columns. Querying data that occur after now() with a GROUP BY time() clause. To find support, use the following resources: InfluxDB Discord Server ; InfluxData Community; InfluxDB Community Slack; InfluxDB Subreddit; Customers with an annual or support contract can contact InfluxData Jun 7, 2023 · 说明 . 有的时候使用group by time()，会发现查询结果的时间与where条件中的time_range冲突，这是因为InfluxDB在返回时间时是以预设区间的时间为主。 Querying data that occur after now() with a GROUP BY time() clause. If a query includes the GROUP BY clause and doesn’t specify a time range in the WHERE clause, the default time group is the default time range, and the time column in the result set contains the start of the . 145224194 and 2262-04-11T23:47:16. The method used to define the group and resulting group key. 下面例子都使用这份示例数据： If a query doesn’t specify a time range in the WHERE clause, InfluxDB uses the default time range for filtering and grouping by time. Output data uses window start boundaries as the aggregate timestamps. com Jul 23, 2019 · You have two options, the first is to use the Date processor plugin to add a tag with the month or year to your data and then you can perform a group by on that tag. For example the following query: Oct 26, 2023 · According to their documentation page you can use a offset_interval to fix the start time of the query results. tsdb for influxdb®对group by的时间间隔使用预设的四舍五入时间边界，不依赖于where子句中任何时间条件。在计算结果的时候，所有返回数据的时间戳必须在查询中明确规定的时间范围内，但是group by的时间间隔将会基于预设的时间边界。 高级GROUP BY time()查询依赖于time_interval，offset_interval和InfluxDB的预设时间边界，以确定每个时间间隔中包含的原始数据以及查询返回的时间戳。 高级语法的例子. The group() function has the following parameters:. However, I have about 30 different offset_intervals. Feb 7, 2022 · GROUP BY time(<time_interval>,<offset_interval>) 通过time_interval和offset_interval来表示一个连续的时间区间，该时间区间决定了InfluxDB如何通过时间来对查询结果进行分组。 GROUP BY time() 间隔使用预设的以整数倍时间边界，独立于WHERE子句中的时间条件。输出数据使用窗口开始边界作为聚合的时间戳。使用time()函数的offset参数将时间边界向前或向后移动。 GROUP BY时间和填充间隔 Aug 7, 2017 · 1、group by tags 2、group by time intervals group by time()分组查询返回用户指定时间间隔结果 语法： Description influxDB---Data Exploration - michellexiaoqi - 博客园 会员 If a query doesn’t specify a time range in the WHERE clause, InfluxDB uses the default time range for filtering and grouping by time. It shifts forward or back the InfluxDB database’s preset time boundaries. GROUP BY time() intervals use preset round-number time boundaries that are independent of time conditions in the WHERE clause. The second is to use flux to query your data. It turns out that if we are trying to aggregate data for each 30d, InfluxDB aggregates our data by unexpected time buckets. To find support, use the following resources: InfluxDB Discord Server ; InfluxData Community; InfluxDB Community Slack; InfluxDB Subreddit; Customers with an annual or support contract can contact InfluxData Mar 8, 2019 · 异常情况说明. Advanced GROUP BY time() queries rely on the time_interval, the offset_interval, and on the InfluxDB database’s preset time boundaries to determine the raw data included in each time interval and the timestamps returned by the query. 145224194 UTC and now(). Recently, we were facing a very annoying issue with InfluxDB's GROUP BY time. The offset_interval is a duration literal. Oct 22, 2021 · I am creating a query to select count and group by time with time_interval and offset_interval. Most SELECT statements have a default time range between 1677-09-21 00:12:43. To visualize all the 30 different offset_intervals, I need to create 30 queries. mode. Thank you for being part of our community! We welcome and encourage your feedback and bug reports for InfluxDB and this documentation. Advanced GROUP BY time() queries rely on the time_interval, the offset_interval, and on the InfluxDB database’s preset time boundaries to determine the raw data included in each time interval and the timestamps returned by the query. The offset_interval can be positive or negative. 854775806Z UTC. For SELECT statements with a GROUP BY time() clause, the default time range is between 1677-09-21 00:12:43. butzlxgc zcmkwx cpc yirn esy echv eku elhur uwig vmlhsodh eorsid umiw ovla iyqxi qbyr