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https://issues.apache.org/jira/browse/FLINK-17178?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lijie Wang updated FLINK-17178:
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Description:
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.
was:
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.
> 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
>
> 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.
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