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docs: Fix TTL typo
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Co-authored-by: Jillian <[email protected]>
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bmtcril and pomegranited authored Jun 4, 2024
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2 changes: 1 addition & 1 deletion docs/concepts/data_lifecycle_policy.rst
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Expand Up @@ -11,4 +11,4 @@ However, the data is not stored indefinitely by default. The data is keep for 1

The setting value is a ClickHouse expression that defines the time-to-live policy (TTL) for the data. The expression is evaluated for each row in the table and should return a date. Rows with a date in the past are deleted. You can read more about the TTL policy in the ClickHouse documentation: https://clickhouse.tech/docs/en/engines/table-engines/mergetree-family/mergetree/#ttl

The data is partioned by month this way the TLL policy is applied per partition. Make sure to set the TTL policy to a date that is compatible with the partitioning policy. e.g. `ASPECTS_DATA_TTL_EXPRESSION: toDateTime(emission_time) + INTERVAL 2 MONTH` or `ASPECTS_DATA_TTL_EXPRESSION: toDateTime(emission_time) + INTERVAL 24 MONTH` should work fine, but `ASPECTS_DATA_TTL_EXPRESSION: toDateTime(emission_time) + INTERVAL 90 DAY` may cause performance issues as the whole data partition cannot be dropped and needs to be periodically rebuilt.
The data is partioned by month so that the TLL policy is applied per partition. Make sure to set the TTL policy to a date that is compatible with the partitioning policy. e.g. `ASPECTS_DATA_TTL_EXPRESSION: toDateTime(emission_time) + INTERVAL 2 MONTH` or `ASPECTS_DATA_TTL_EXPRESSION: toDateTime(emission_time) + INTERVAL 24 MONTH` should work fine, but `ASPECTS_DATA_TTL_EXPRESSION: toDateTime(emission_time) + INTERVAL 90 DAY` may cause performance issues as the whole data partition cannot be dropped and needs to be periodically rebuilt.

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