Adrian Wang created SPARK-26764:
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Summary: [SPIP] Spark Relational Cache
Key: SPARK-26764
URL: https://issues.apache.org/jira/browse/SPARK-26764
Project: Spark
Issue Type: New Feature
Components: SQL
Affects Versions: 2.4.0
Reporter: Adrian Wang
Attachments: Relational+Cache+SPIP.pdf
In modern database systems, relational cache is a common technology to boost
ad-hoc queries. While Spark provides cache natively, Spark SQL should be able
to utilize the relationship between relations to boost all possible queries. In
this SPIP, we will make Spark be able to utilize all defined cached relations
if possible, without explicit substitution in user query, as well as keep some
user defined cache available in different sessions. Materialized views in many
database systems provide similar function.
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