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Apache Spark commented on SPARK-4937: ------------------------------------- User 'liancheng' has created a pull request for this issue: https://github.com/apache/spark/pull/3784 > Adding optimization to simplify the filter condition > ---------------------------------------------------- > > Key: SPARK-4937 > URL: https://issues.apache.org/jira/browse/SPARK-4937 > Project: Spark > Issue Type: Improvement > Components: SQL > Affects Versions: 1.1.0 > Reporter: wangfei > Fix For: 1.3.0 > > > Adding optimization to simplify the filter condition: > 1 condition that can get the boolean result such as: > a < 3 && a > 5 ---- False > a < 1 || a > 0 ---- True > 2 Simplify And, Or condition, such as the sql (one of hive-testbench > ): > select > sum(l_extendedprice* (1 - l_discount)) as revenue > from > lineitem, > part > where > ( > p_partkey = l_partkey > and p_brand = 'Brand#32' > and p_container in ('SM CASE', 'SM BOX', 'SM PACK', 'SM PKG') > and l_quantity >= 7 and l_quantity <= 7 + 10 > and p_size between 1 and 5 > and l_shipmode in ('AIR', 'AIR REG') > and l_shipinstruct = 'DELIVER IN PERSON' > ) > or > ( > p_partkey = l_partkey > and p_brand = 'Brand#35' > and p_container in ('MED BAG', 'MED BOX', 'MED PKG', 'MED PACK') > and l_quantity >= 15 and l_quantity <= 15 + 10 > and p_size between 1 and 10 > and l_shipmode in ('AIR', 'AIR REG') > and l_shipinstruct = 'DELIVER IN PERSON' > ) > or > ( > p_partkey = l_partkey > and p_brand = 'Brand#24' > and p_container in ('LG CASE', 'LG BOX', 'LG PACK', 'LG PKG') > and l_quantity >= 26 and l_quantity <= 26 + 10 > and p_size between 1 and 15 > and l_shipmode in ('AIR', 'AIR REG') > and l_shipinstruct = 'DELIVER IN PERSON' > ); > Before optimized it is a CartesianProduct, in my locally test this sql hang > and can not get result, after optimization the CartesianProduct replaced by > ShuffledHashJoin, which only need 20+ seconds to run this sql. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org