Michael Armbrust created SPARK-3212:
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Summary: Improve the clarity of caching semantics
Key: SPARK-3212
URL: https://issues.apache.org/jira/browse/SPARK-3212
Project: Spark
Issue Type: Bug
Components: SQL
Reporter: Michael Armbrust
Priority: Blocker
Right now there are a bunch of different ways to cache tables in Spark SQL. For
example:
- tweets.cache()
- sql("SELECT * FROM tweets").cache()
- table("tweets").cache()
- tweets.cache().registerTempTable(tweets)
- sql("CACHE TABLE tweets")
- cacheTable("tweets")
Each of the above commands has subtly different semantics, leading to a very
confusing user experience. Ideally, we would stop doing caching based on
simple tables names and instead have a phase of optimization that does
intelligent matching of query plans with available cached data.
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