Amareshwari Sriramadasu created HIVE-3652:
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Summary: Join optimization for star schema
Key: HIVE-3652
URL: https://issues.apache.org/jira/browse/HIVE-3652
Project: Hive
Issue Type: Improvement
Components: Query Processor
Reporter: Amareshwari Sriramadasu
Assignee: Amareshwari Sriramadasu
Currently, if we join one fact table with multiple dimension tables, it results
in multiple mapreduce jobs for each join with dimension table, because join
would be on different keys for each dimension.
Usually all the dimension tables will be small and can hit into memory and so
map-side join can used to join with fact table.
In this issue I want to look at optimizing such query to generate single
mapreduce job sothat mapper loads dimension tables into memory and joins with
fact table on different keys as well.
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