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Adds support for Prometheus metric rollups #1799
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Harkishen-Singh
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Jan 11, 2023
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To reviewers: This file is yet to be reviewed. I had to merge the PR quickly that involved this file, hence.
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Signed-off-by: Harkishen-Singh <harkishensingh@hotmail.com> This commit adds support for creation or deletion of metric rollups by reading the dataset-config file. The dataset config file contains a new field `downsample:` which supports 2 options: `automatic` & `resolution`. If `automatic` is false, then connector updates in the database so that `_prom_catalog.scan_for_new_rollups` does not create any new rollups (Caggs). `resolution` is a comma separated list of resolutions for downsampling, in a way that label:resolution:retention is the format that is needed. Example: `short:5m:90d,long:1h:365d` -> The resolution works in a strict manner. Its aim is to make sure that the database contains exactly those resolutions that are mentioned in the dataset config. Like, if the database already contains `short` and `long` downsampled data and the dataset is supplied with `short:5m:90d,very_long:1d:365d` then `long` downsampled case is deleted and `very_long` is created. -> `resolution` is applied if `automatic` is `true`. If automatic is not given in dataset config, it defaults to `true` based on our plan to keep downsampling applied as a default setting.
…ollups. Signed-off-by: Harkishen-Singh <harkishensingh@hotmail.com>
Signed-off-by: Harkishen-Singh <harkishensingh@hotmail.com>
Signed-off-by: Harkishen-Singh <harkishensingh@hotmail.com>
Signed-off-by: Harkishen-Singh <harkishensingh@hotmail.com>
Signed-off-by: Harkishen-Singh <harkishensingh@hotmail.com>
Signed-off-by: Harkishen-Singh <harkishensingh@hotmail.com>
Signed-off-by: Harkishen-Singh <harkishensingh@hotmail.com>
Signed-off-by: Harkishen-Singh <harkishensingh@hotmail.com>
Signed-off-by: Harkishen-Singh <harkishensingh@hotmail.com> This commit implements the update UX for creating downsampled data for Prometheus metrics. Now, downsampling can be done by ``` metrics: downsampling: 5m:30d,1h:365d ``` The above dataset-config setting will create 2 downsampling, ds_5m (interval 5m & retention 30d) and ds_1h (interval 1h & retention 365d). If an entry is removed, like ``` metrics: downsampling: 1h:365d ``` Then we disable the ds_5m downsampling from refreshing. Deletion can only happen via SQL, `CALL _prom_catalog.delete_downsampling(<schema_name>)`. This keeps the UX clean and simple. If the removed dowmsapling is applied again later on, we simply enable the refreshing. This also means that this commit adds ability to enable or disable downsampling as well.
…mn__. Signed-off-by: Harkishen-Singh <harkishensingh@hotmail.com>
Signed-off-by: Harkishen-Singh <harkishensingh@hotmail.com>
Signed-off-by: Harkishen-Singh <harkishensingh@hotmail.com>
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niksajakovljevic
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Jan 11, 2023
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Description
TODOs:
Action items to be implemented before marking this PR ready for review:
__schema__&__column__labelsMerge requirements
Please take into account the following non-code changes that you may need to make with your PR: