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gurwls223 pushed a commit to branch branch-3.4
in repository https://gitbox.apache.org/repos/asf/spark.git


The following commit(s) were added to refs/heads/branch-3.4 by this push:
     new c532221c807 [SPARK-42665][CONNECT][TEST] Mute Scala Client UDF test
c532221c807 is described below

commit c532221c807ad1679e77f949d8d6d09302f7ba67
Author: Zhen Li <[email protected]>
AuthorDate: Tue Mar 7 16:36:18 2023 +0900

    [SPARK-42665][CONNECT][TEST] Mute Scala Client UDF test
    
    ### What changes were proposed in this pull request?
    Mute the UDF test.
    
    ### Why are the changes needed?
    The test fails during maven test runs because the server cannot find the 
udf in the classpath. The test will be fixed once the udf artifact sync is 
finished.
    
    ### Does this PR introduce _any_ user-facing change?
    No.
    
    ### How was this patch tested?
    N/A
    
    Closes #40304 from zhenlineo/mute-udf-test.
    
    Authored-by: Zhen Li <[email protected]>
    Signed-off-by: Hyukjin Kwon <[email protected]>
    (cherry picked from commit cf3c34b1248a4daf55a7c87f8d94b62766fb124b)
    Signed-off-by: Hyukjin Kwon <[email protected]>
---
 .../jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala    | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git 
a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala
 
b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala
index d2724181cd4..abc182c1b8d 100644
--- 
a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala
+++ 
b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala
@@ -76,7 +76,7 @@ class ClientE2ETestSuite extends RemoteSparkSession with 
SQLHelper {
     assert(result(2) == 2)
   }
 
-  test("simple udf") {
+  ignore("SPARK-42665: Ignore simple udf test until the udf is fully 
implemented.") {
     def dummyUdf(x: Int): Int = x + 5
     val myUdf = udf(dummyUdf _)
     val df = spark.range(5).select(myUdf(Column("id")))


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