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The following commit(s) were added to refs/heads/branch-3.1 by this push:
     new c0ad339  [SPARK-35559][TEST] Speed up one test in 
AdaptiveQueryExecSuite
c0ad339 is described below

commit c0ad339f7a6520a7840a933977dca8670c8bf83a
Author: Wenchen Fan <wenc...@databricks.com>
AuthorDate: Fri May 28 12:39:34 2021 -0700

    [SPARK-35559][TEST] Speed up one test in AdaptiveQueryExecSuite
    
    ### What changes were proposed in this pull request?
    
    I just noticed that `AdaptiveQueryExecSuite.SPARK-34091: Batch shuffle 
fetch in AQE partition coalescing` takes more than 10 minutes to finish, which 
is unacceptable.
    
    This PR sets the shuffle partitions to 10 in that test, so that the test 
can finish with 5 seconds.
    
    ### Why are the changes needed?
    
    speed up the test
    
    ### Does this PR introduce _any_ user-facing change?
    
    no
    
    ### How was this patch tested?
    
    N/A
    
    Closes #32695 from cloud-fan/test.
    
    Authored-by: Wenchen Fan <wenc...@databricks.com>
    Signed-off-by: Dongjoon Hyun <dh...@apple.com>
    (cherry picked from commit 678592a6121a5237f05956e7d9f0565d82d1860a)
    Signed-off-by: Dongjoon Hyun <dh...@apple.com>
---
 .../apache/spark/sql/execution/adaptive/AdaptiveQueryExecSuite.scala    | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git 
a/sql/core/src/test/scala/org/apache/spark/sql/execution/adaptive/AdaptiveQueryExecSuite.scala
 
b/sql/core/src/test/scala/org/apache/spark/sql/execution/adaptive/AdaptiveQueryExecSuite.scala
index f7570c0..c8c4f97 100644
--- 
a/sql/core/src/test/scala/org/apache/spark/sql/execution/adaptive/AdaptiveQueryExecSuite.scala
+++ 
b/sql/core/src/test/scala/org/apache/spark/sql/execution/adaptive/AdaptiveQueryExecSuite.scala
@@ -1457,7 +1457,7 @@ class AdaptiveQueryExecSuite
   test("SPARK-34091: Batch shuffle fetch in AQE partition coalescing") {
     withSQLConf(
       SQLConf.ADAPTIVE_EXECUTION_ENABLED.key -> "true",
-      SQLConf.SHUFFLE_PARTITIONS.key -> "10000",
+      SQLConf.SHUFFLE_PARTITIONS.key -> "10",
       SQLConf.FETCH_SHUFFLE_BLOCKS_IN_BATCH.key -> "true") {
       withTable("t1") {
         spark.range(100).selectExpr("id + 1 as 
a").write.format("parquet").saveAsTable("t1")

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