You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Yuming Wang (Jira)" <ji...@apache.org> on 2020/12/20 15:55:00 UTC

[jira] [Created] (SPARK-33861) Simplify conditional in predicate

Yuming Wang created SPARK-33861:
-----------------------------------

             Summary: Simplify conditional in predicate
                 Key: SPARK-33861
                 URL: https://issues.apache.org/jira/browse/SPARK-33861
             Project: Spark
          Issue Type: Improvement
          Components: SQL
    Affects Versions: 3.2.0
            Reporter: Yuming Wang


The use case is:
{noformat}
spark.sql("create table t1 using parquet as select id as a, id as b from range(10)")
spark.sql("select * from t1 where CASE WHEN a > 2 THEN b + 10 END > 5").explain()
{noformat}
Before this pr:
{noformat}
== Physical Plan ==
*(1) Filter CASE WHEN (a#3L > 2) THEN ((b#4L + 10) > 5) END
+- *(1) ColumnarToRow
   +- FileScan parquet default.t1[a#3L,b#4L] Batched: true, DataFilters: [CASE WHEN (a#3L > 2) THEN ((b#4L + 10) > 5) END], Format: Parquet, Location: InMemoryFileIndex[file:/Users/yumwang/opensource/spark/spark-warehouse/org.apache.spark.sql.DataF..., PartitionFilters: [], PushedFilters: [], ReadSchema: struct<a:bigint,b:bigint>

{noformat}
After this pr:
{noformat}
== Physical Plan ==
*(1) Filter (((isnotnull(a#3L) AND isnotnull(b#4L)) AND (a#3L > 2)) AND ((b#4L + 10) > 5))
+- *(1) ColumnarToRow
   +- FileScan parquet default.t1[a#3L,b#4L] Batched: true, DataFilters: [isnotnull(a#3L), isnotnull(b#4L), (a#3L > 2), ((b#4L + 10) > 5)], Format: Parquet, Location: InMemoryFileIndex[file:/Users/yumwang/opensource/spark/spark-warehouse/org.apache.spark.sql.DataF..., PartitionFilters: [], PushedFilters: [IsNotNull(a), IsNotNull(b), GreaterThan(a,2)], ReadSchema: struct<a:bigint,b:bigint>

{noformat}



--
This message was sent by Atlassian Jira
(v8.3.4#803005)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org