Update the CAGGS docs with the end_offset within the current bucket nuance #3991
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Update the CAGGS docs with the end_offset within the current bucket nuance #3991
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Allow 10 minutes from last push for the staging site to build. If the link doesn't work, try using incognito mode instead. For internal reviewers, check web-documentation repo actions for staging build status. Link to build for this PR: http://docs-dev.timescale.com/docs-285-docs-rfc-update-caggs-docs |
erimatnor
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Apr 10, 2025
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| In addition, materializing the most recent bucket might interfere with | ||
| [real-time aggregation][future-watermark]. | ||
| and extends to the beginning or end of time. If you set `end_offset` within the current time bucket, and [real-time aggregation][future-watermark] is disabled, the current time bucket is excluded. This is to improve performance: for time-series data that mostly contains writes that occur in the time stamp order, the time buckets that see lots of writes quickly have out-of-date aggregates. You get better performance by excluding the time buckets that are getting a lot of writes. |
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FWIW: another reason is also that you cannot really refresh a partial bucket. You either compute the whole bucket or not at all.
erimatnor
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billy-the-fish
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I've had a go, but that sentence is still tricky.
| @@ -31,15 +31,7 @@ Among others, `add_continuous_aggregate_policy` takes the following arguments: | |||
| 24 hours. | |||
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| If you set the `start_offset` or `end_offset` to `NULL`, the range is open-ended | |||
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| If you set the `start_offset` or `end_offset` to `NULL`, the range is open-ended | |
| If you set `start_offset` or `end_offset` to `NULL`, the range is open-ended |
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| In addition, materializing the most recent bucket might interfere with | ||
| [real-time aggregation][future-watermark]. | ||
| and extends to the beginning or end of time. If you set `end_offset` within the current time bucket, and [real-time aggregation][future-watermark] is disabled, the current time bucket is excluded. This is because the current bucket is incomplete and can't be refreshed. Excluding the current bucket also improves performance: for time-series data that mostly contains writes that occur in the time stamp order, the time buckets that see lots of writes quickly have out-of-date aggregates. You get better performance by excluding the time buckets that are getting a lot of writes. |
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| and extends to the beginning or end of time. If you set `end_offset` within the current time bucket, and [real-time aggregation][future-watermark] is disabled, the current time bucket is excluded. This is because the current bucket is incomplete and can't be refreshed. Excluding the current bucket also improves performance: for time-series data that mostly contains writes that occur in the time stamp order, the time buckets that see lots of writes quickly have out-of-date aggregates. You get better performance by excluding the time buckets that are getting a lot of writes. | |
| and extends to the beginning or end of time. If you set `end_offset` within the current time bucket while [real-time aggregation][future-watermark] is disabled, the current time bucket is excluded. Incomplete time buckets cannot be refreshed, this is because the current bucket is incomplete, also time buckets that see lots of writes quickly have out-of-date aggregates. Excluding the current bucket improves performance: time-series data mostly contains writes that occur in time stamp order, you get better performance by excluding the time buckets that are getting a lot of writes. |
Co-authored-by: Iain Cox <iain@timescale.com> Signed-off-by: Anastasiia Tovpeko <114177030+atovpeko@users.noreply.github.com>
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