Yuming Wang created SPARK-32268:
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Summary: Bloom Filter Join
Key: SPARK-32268
URL: https://issues.apache.org/jira/browse/SPARK-32268
Project: Spark
Issue Type: New Feature
Components: SQL
Affects Versions: 3.1.0
Reporter: Yuming Wang
Assignee: Yuming Wang
Attachments: q16-bloom-filter.png, q16-default.png
We can improve the performance of some joins by pre-filtering one side of a
join using a Bloom filter and IN predicate generated from the values from the
other side of the join.
For
example:[tpcds/q16.sql|https://github.com/apache/spark/blob/a78d6ce376edf2a8836e01f47b9dff5371058d4c/sql/core/src/test/resources/tpcds/q16.sql]
Before this optimization:
After this optimization:
*Query Performance Benchmarks: TPC-DS Performance Evaluation*
Our setup for running TPC-DS benchmark was as follows: TPC-DS 5T and
Partitioned Parquet table
|Query|Default(Seconds)|Enable Bloom Filter Join(Seconds)|
|tpcds q16|84|46|
|tpcds q36|29|21|
|tpcds q57|39|28|
|tpcds q94|42|34|
|tpcds q95|306|288|
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