Timeseries insertion filters for close samples #3228
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Support timeseries insertion filters for samples that are close to each other in time and value.
vladvildanov
approved these changes
May 14, 2024
…n-filter-for-close-samples
Use the documented way to disable compression, i.e. ENCODING UNCOMPRESSED. Remove the uncompressed flag from TS.ALTER.
…n-filter-for-close-samples
gerzse
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to gerzse/redis-py
that referenced
this pull request
Jul 11, 2024
Support timeseries insertion filters for samples that are close to each other in time and value. Use the documented way to disable compression, i.e. `ENCODING UNCOMPRESSED` instead of `UNCOMPRESSED`. Polish the documentation related to timeseries. Align things needed around CI, to make sure all tests are actually executed. BREAKING CHANGES: 1. Remove the `uncompressed` flag from TS.ALTER, since compression of existing timeseries cannot be changed. This should not have been used, so there should be no real impact. 2. For the TS.ADD command (TimeSeriesCommands.add method): the `duplicate_policy` Python parameter that was mapping to `ON DUPLICATE` was now rewired to map to `DUPLICATE POLICY`. A new Python parameter called `on_duplicate` was added, that maps to `ON DUPLICATE`. The expected impact of this change is low.
gerzse
added a commit
that referenced
this pull request
Jul 11, 2024
Support timeseries insertion filters for samples that are close to each other in time and value. Use the documented way to disable compression, i.e. `ENCODING UNCOMPRESSED` instead of `UNCOMPRESSED`. Polish the documentation related to timeseries. Align things needed around CI, to make sure all tests are actually executed. BREAKING CHANGES: 1. Remove the `uncompressed` flag from TS.ALTER, since compression of existing timeseries cannot be changed. This should not have been used, so there should be no real impact. 2. For the TS.ADD command (TimeSeriesCommands.add method): the `duplicate_policy` Python parameter that was mapping to `ON DUPLICATE` was now rewired to map to `DUPLICATE POLICY`. A new Python parameter called `on_duplicate` was added, that maps to `ON DUPLICATE`. The expected impact of this change is low.
agnesnatasya
pushed a commit
to agnesnatasya/redis-py
that referenced
this pull request
Jul 20, 2024
Support timeseries insertion filters for samples that are close to each other in time and value. Use the documented way to disable compression, i.e. `ENCODING UNCOMPRESSED` instead of `UNCOMPRESSED`. Polish the documentation related to timeseries. Align things needed around CI, to make sure all tests are actually executed. BREAKING CHANGES: 1. Remove the `uncompressed` flag from TS.ALTER, since compression of existing timeseries cannot be changed. This should not have been used, so there should be no real impact. 2. For the TS.ADD command (TimeSeriesCommands.add method): the `duplicate_policy` Python parameter that was mapping to `ON DUPLICATE` was now rewired to map to `DUPLICATE POLICY`. A new Python parameter called `on_duplicate` was added, that maps to `ON DUPLICATE`. The expected impact of this change is low.
vladvildanov
pushed a commit
that referenced
this pull request
Sep 27, 2024
Support timeseries insertion filters for samples that are close to each other in time and value. Use the documented way to disable compression, i.e. `ENCODING UNCOMPRESSED` instead of `UNCOMPRESSED`. Polish the documentation related to timeseries. Align things needed around CI, to make sure all tests are actually executed. BREAKING CHANGES: 1. Remove the `uncompressed` flag from TS.ALTER, since compression of existing timeseries cannot be changed. This should not have been used, so there should be no real impact. 2. For the TS.ADD command (TimeSeriesCommands.add method): the `duplicate_policy` Python parameter that was mapping to `ON DUPLICATE` was now rewired to map to `DUPLICATE POLICY`. A new Python parameter called `on_duplicate` was added, that maps to `ON DUPLICATE`. The expected impact of this change is low.
vladvildanov
pushed a commit
that referenced
this pull request
Sep 27, 2024
Support timeseries insertion filters for samples that are close to each other in time and value. Use the documented way to disable compression, i.e. `ENCODING UNCOMPRESSED` instead of `UNCOMPRESSED`. Polish the documentation related to timeseries. Align things needed around CI, to make sure all tests are actually executed. BREAKING CHANGES: 1. Remove the `uncompressed` flag from TS.ALTER, since compression of existing timeseries cannot be changed. This should not have been used, so there should be no real impact. 2. For the TS.ADD command (TimeSeriesCommands.add method): the `duplicate_policy` Python parameter that was mapping to `ON DUPLICATE` was now rewired to map to `DUPLICATE POLICY`. A new Python parameter called `on_duplicate` was added, that maps to `ON DUPLICATE`. The expected impact of this change is low.
vladvildanov
pushed a commit
that referenced
this pull request
Sep 27, 2024
Support timeseries insertion filters for samples that are close to each other in time and value. Use the documented way to disable compression, i.e. `ENCODING UNCOMPRESSED` instead of `UNCOMPRESSED`. Polish the documentation related to timeseries. Align things needed around CI, to make sure all tests are actually executed. BREAKING CHANGES: 1. Remove the `uncompressed` flag from TS.ALTER, since compression of existing timeseries cannot be changed. This should not have been used, so there should be no real impact. 2. For the TS.ADD command (TimeSeriesCommands.add method): the `duplicate_policy` Python parameter that was mapping to `ON DUPLICATE` was now rewired to map to `DUPLICATE POLICY`. A new Python parameter called `on_duplicate` was added, that maps to `ON DUPLICATE`. The expected impact of this change is low.
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Description of change
Support timeseries insertion filters for samples that are close to each other in time and value.
Use the documented way to disable compression, i.e.
ENCODING UNCOMPRESSEDinstead ofUNCOMPRESSED.Polish the documentation related to timeseries.
Align things needed around CI, to make sure all tests are actually executed.
BREAKING CHANGES:
Remove the
uncompressedflag from TS.ALTER, since compression of existing timeseries cannot be changed. This should not have been used, so there should be no real impact.For the TS.ADD command (TimeSeriesCommands.add method): the
duplicate_policyPython parameter that was mapping toON DUPLICATEwas now rewired to map toDUPLICATE POLICY. A new Python parameter calledon_duplicatewas added, that maps toON DUPLICATE. The expected impact of this change is low.