Yuming Wang created SPARK-33861:
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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}
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