c21 commented on a change in pull request #29804:
URL: https://github.com/apache/spark/pull/29804#discussion_r500100742
##########
File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
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@@ -951,6 +951,17 @@ object SQLConf {
.checkValue(_ > 0, "the value of spark.sql.sources.bucketing.maxBuckets
must be greater than 0")
.createWithDefault(100000)
+ val AUTO_BUCKETED_SCAN_ENABLED =
+ buildConf("spark.sql.sources.bucketing.autoBucketedScan.enabled")
+ .doc("When true, decide whether to do bucketed scan on input tables
based on query plan " +
+ "automatically. Do not use bucketed scan if 1. query does not have
operators to utilize " +
+ "bucketing (e.g. join, group-by, etc), or 2. there's an exchange
operator between these " +
+ s"operators and table scan. Note when '${BUCKETING_ENABLED.key}' is
set to " +
+ "false, this configuration does not take any effect.")
+ .version("3.1.0")
+ .booleanConf
+ .createWithDefault(false)
Review comment:
@cloud-fan - thanks for pointing it out. Created
https://issues.apache.org/jira/browse/SPARK-33075 for followup, cc @viirya in
case there's any other regression for enabling auto bucketed scan, except
cached query.
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