Skip to content

[SPARK-40193][SQL][FOLLOWUP] Rename spark.sql.optimizer.mergeSubplans.( -> filterPropagation.)symmetricFilterPropagation.enabled #55633

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Closed
dongjoon-hyun wants to merge 2 commits into from
Closed

[SPARK-40193][SQL][FOLLOWUP] Rename spark.sql.optimizer.mergeSubplans.( -> filterPropagation.)symmetricFilterPropagation.enabled #55633

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
367eb5c
[SPARK-40193][SQL] Rename `spark.sql.optimizer.mergeSubplans.( -> fil…
dongjoon-hyun Apr 30, 2026
e5ec823
fix linter error
dongjoon-hyun Apr 30, 2026
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
28 changes: 14 additions & 14 deletions sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -6593,20 +6593,20 @@ object SQLConf {
.booleanConf
.createWithDefault(true)

val MERGE_SUBPLANS_SYMMETRIC_FILTER_PROPAGATION_ENABLED =
buildConf("spark.sql.optimizer.mergeSubplans.symmetricFilterPropagation.enabled")
.doc("When set to true, two non-grouping aggregate subplans that both have filter " +
"conditions (but with different predicates) can be merged into a single scan using " +
"FILTER (WHERE ...) clauses on each aggregate expression. " +
"Merging two filtered scans broadens the combined filter to OR(f1, f2), which may " +
"reduce IO pruning (e.g. partition or file skipping) compared to the individual " +
"filters. Disabled by default; enable once the behaviour has been validated in your " +
"workload, particularly on heavily partitioned or file-pruned tables. " +
s"Has no effect when ${MERGE_SUBPLANS_FILTER_PROPAGATION_ENABLED.key} is false.")
.version("4.2.0")
.withBindingPolicy(ConfigBindingPolicy.SESSION)
.booleanConf
.createWithDefault(false)
val MERGE_SUBPLANS_SYMMETRIC_FILTER_PROPAGATION_ENABLED = buildConf(
"spark.sql.optimizer.mergeSubplans.filterPropagation.symmetricFilterPropagation.enabled")
.doc("When set to true, two non-grouping aggregate subplans that both have filter " +
"conditions (but with different predicates) can be merged into a single scan using " +
"FILTER (WHERE ...) clauses on each aggregate expression. " +
"Merging two filtered scans broadens the combined filter to OR(f1, f2), which may " +
"reduce IO pruning (e.g. partition or file skipping) compared to the individual " +
"filters. Disabled by default; enable once the behaviour has been validated in your " +
"workload, particularly on heavily partitioned or file-pruned tables. " +
s"Has no effect when ${MERGE_SUBPLANS_FILTER_PROPAGATION_ENABLED.key} is false.")
.version("4.2.0")
.withBindingPolicy(ConfigBindingPolicy.SESSION)
.booleanConf
.createWithDefault(false)

val ERROR_MESSAGE_FORMAT = buildConf("spark.sql.error.messageFormat")
.doc("When PRETTY, the error message consists of textual representation of error class, " +
Expand Down