ymZhao1001 opened a new issue, #4940:
URL: https://github.com/apache/iceberg/issues/4940
**Is your feature request related to a problem? Please describe this feature
request :**
In some multi-table associative query scenarios, the data volume of the
dimension table is small and the update is slow. We can cache the dimension
table in memory to improve query performance
**Describe the solution you'd like :**
Add a cache attribute to the table, then we use
spark.catalog.cacheTable("tableName") or implements the LookupTableSource in
flink connector to cache table in Spark and Flink, for example
@rdblue @kbendick what do you thinik of it ? It would be a pleasure to
hear your thoughts
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