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Flink Jira Bot commented on FLINK-17178: ---------------------------------------- This issue was labeled "stale-major" 7 ago and has not received any updates so it is being deprioritized. If this ticket is actually Major, please raise the priority and ask a committer to assign you the issue or revive the public discussion. > Provide "ALL" cache strategy in LookupFunction > ----------------------------------------------- > > Key: FLINK-17178 > URL: https://issues.apache.org/jira/browse/FLINK-17178 > Project: Flink > Issue Type: New Feature > Components: Connectors / Common > Reporter: Lijie Wang > Priority: Major > Labels: stale-major > > We provide "ALL" cache strategy mentioned in FLINK-13252, motivation as > follow: > Maintain the entire dimension table in memory to improve performance. There > is no IO overhead when we lookup the cached table. Reload dimension table > periodically for update, and we can reload asynchronously with little IO > delay. > The cache needs to be reloaded periodically for update。 > Limitations: > 1. It's suitable for scenario that users don't care the lateness so much, > periodically updating can satisfy them. > 2. The “ALL” cache needs more memory, so it's suitable for small dimension > table. -- This message was sent by Atlassian Jira (v8.3.4#803005)