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https://issues.apache.org/jira/browse/SPARK-25740?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Yuming Wang updated SPARK-25740:
--------------------------------
Description:
How to reproduce:
{code:sql}
# spark-sql
create table t1 (a int) stored as parquet;
create table t2 (a int) stored as parquet;
insert into table t1 values (1);
insert into table t2 values (1);
-- clear cache
REFRESH TABLE t1;
REFRESH TABLE t2;
explain select * from t1, t2 where t1.a = t2.a;
-- SortMergeJoin
set spark.sql.statistics.fallBackToHdfs=true;
explain select * from t1, t2 where t1.a = t2.a;
-- SortMergeJoin, it should be BroadcastHashJoin
-- clear cache
REFRESH TABLE t1;
REFRESH TABLE t2;
explain select * from t1, t2 where t1.a = t2.a;
-- BroadcastHashJoin
{code}
was:
How to reproduce:
{code:sql}
# spark-sql
create table t1 (a int) stored as parquet;
create table t2 (a int) stored as parquet;
insert into table t1 values (1);
insert into table t2 values (1);
exit;
spark-sql
set spark.sql.statistics.fallBackToHdfs=true;
explain select * from t1, t2 where t1.a = t2.a;
-- BroadcastHashJoin
exit;
spark-sql
explain select * from t1, t2 where t1.a = t2.a;
-- SortMergeJoin
set spark.sql.statistics.fallBackToHdfs=true;
explain select * from t1, t2 where t1.a = t2.a;
-- SortMergeJoin, it should be BroadcastHashJoin
exit;
{code}
We need {{LogicalPlanStats.invalidateStatsCache}}, but seems only we can do is
invalidateAllCachedTables when execute set Command:
{code:java}
val isInvalidateAllCachedTablesKeys = Set(
SQLConf.ENABLE_FALL_BACK_TO_HDFS_FOR_STATS.key,
SQLConf.DEFAULT_SIZE_IN_BYTES.key
)
sparkSession.conf.set(key, value)
if (isInvalidateAllCachedTablesKeys.contains(key)) {
sparkSession.sessionState.catalog.invalidateAllCachedTables()
}
{code}
> Refactor DetermineTableStats to invalidate cache when some configuration
> changed
> --------------------------------------------------------------------------------
>
> Key: SPARK-25740
> URL: https://issues.apache.org/jira/browse/SPARK-25740
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 3.0.0
> Reporter: Yuming Wang
> Priority: Major
>
> How to reproduce:
> {code:sql}
> # spark-sql
> create table t1 (a int) stored as parquet;
> create table t2 (a int) stored as parquet;
> insert into table t1 values (1);
> insert into table t2 values (1);
> -- clear cache
> REFRESH TABLE t1;
> REFRESH TABLE t2;
> explain select * from t1, t2 where t1.a = t2.a;
> -- SortMergeJoin
> set spark.sql.statistics.fallBackToHdfs=true;
> explain select * from t1, t2 where t1.a = t2.a;
> -- SortMergeJoin, it should be BroadcastHashJoin
> -- clear cache
> REFRESH TABLE t1;
> REFRESH TABLE t2;
> explain select * from t1, t2 where t1.a = t2.a;
> -- BroadcastHashJoin
> {code}
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