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Posted to issues@spark.apache.org by "Yuming Wang (Jira)" <ji...@apache.org> on 2021/04/29 13:16:01 UTC
[jira] [Updated] (SPARK-35273) CombineFilters support
non-deterministic expressions
[ https://issues.apache.org/jira/browse/SPARK-35273?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Yuming Wang updated SPARK-35273:
--------------------------------
Description:
For example:
{code:scala}
spark.sql("create table t1(id int) using parquet")
spark.sql("select * from (select * from t1 where id not in (1, 3, 6)) t where id = 7 and rand() <= 0.01").explain("cost")
{code}
Current:
{noformat}
== Optimized Logical Plan ==
Filter (isnotnull(id#0) AND ((id#0 = 7) AND (rand(-639771619343876662) <= 0.01))), Statistics(sizeInBytes=1.0 B)
+- Filter NOT id#0 IN (1,3,6), Statistics(sizeInBytes=1.0 B)
+- Relation default.t1[id#0] parquet, Statistics(sizeInBytes=0.0 B)
{noformat}
Expected:
{noformat}
== Optimized Logical Plan ==
Filter (isnotnull(id#0) AND (NOT id#0 IN (1,3,6) AND ((id#0 = 7) AND (rand(-1485510186481201685) <= 0.01)))), Statistics(sizeInBytes=1.0 B)
+- Relation default.t1[id#0] parquet, Statistics(sizeInBytes=0.0 B)
{noformat}
Another example:
{code:scala}
spark.sql("create table t1(id int) using parquet")
spark.sql("create table v1 as select * from t1 where id not in (1, 3, 6)")
spark.sql("select * from v1 where id = 7 and rand() <= 0.01").explain("cost")
{code{
was:
For example:
{code:scala}
spark.sql("create table t1(id int) using parquet")
spark.sql("select * from (select * from t1 where id not in (1, 3, 6)) t where id = 7 and rand() <= 0.01").explain("cost")
{code}
Current:
{noformat}
== Optimized Logical Plan ==
Filter (isnotnull(id#0) AND ((id#0 = 7) AND (rand(-639771619343876662) <= 0.01))), Statistics(sizeInBytes=1.0 B)
+- Filter NOT id#0 IN (1,3,6), Statistics(sizeInBytes=1.0 B)
+- Relation default.t1[id#0] parquet, Statistics(sizeInBytes=0.0 B)
{noformat}
Expected:
{noformat}
== Optimized Logical Plan ==
Filter (isnotnull(id#0) AND (NOT id#0 IN (1,3,6) AND ((id#0 = 7) AND (rand(-1485510186481201685) <= 0.01)))), Statistics(sizeInBytes=1.0 B)
+- Relation default.t1[id#0] parquet, Statistics(sizeInBytes=0.0 B)
{noformat}
> CombineFilters support non-deterministic expressions
> ----------------------------------------------------
>
> Key: SPARK-35273
> URL: https://issues.apache.org/jira/browse/SPARK-35273
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 3.2.0
> Reporter: Yuming Wang
> Priority: Major
>
> For example:
> {code:scala}
> spark.sql("create table t1(id int) using parquet")
> spark.sql("select * from (select * from t1 where id not in (1, 3, 6)) t where id = 7 and rand() <= 0.01").explain("cost")
> {code}
> Current:
> {noformat}
> == Optimized Logical Plan ==
> Filter (isnotnull(id#0) AND ((id#0 = 7) AND (rand(-639771619343876662) <= 0.01))), Statistics(sizeInBytes=1.0 B)
> +- Filter NOT id#0 IN (1,3,6), Statistics(sizeInBytes=1.0 B)
> +- Relation default.t1[id#0] parquet, Statistics(sizeInBytes=0.0 B)
> {noformat}
> Expected:
> {noformat}
> == Optimized Logical Plan ==
> Filter (isnotnull(id#0) AND (NOT id#0 IN (1,3,6) AND ((id#0 = 7) AND (rand(-1485510186481201685) <= 0.01)))), Statistics(sizeInBytes=1.0 B)
> +- Relation default.t1[id#0] parquet, Statistics(sizeInBytes=0.0 B)
> {noformat}
> Another example:
> {code:scala}
> spark.sql("create table t1(id int) using parquet")
> spark.sql("create table v1 as select * from t1 where id not in (1, 3, 6)")
> spark.sql("select * from v1 where id = 7 and rand() <= 0.01").explain("cost")
> {code{
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