[GitHub] [spark] cloud-fan commented on a change in pull request #28751: [SPARK-31926][SQL][test-hive1.2] Fix concurrency issue for ThriftCLIService to getPortNumber

2020-06-10 Thread GitBox


cloud-fan commented on a change in pull request #28751:
URL: https://github.com/apache/spark/pull/28751#discussion_r438553842



##
File path: project/SparkBuild.scala
##
@@ -480,7 +480,8 @@ object SparkParallelTestGrouping {
 "org.apache.spark.sql.hive.thriftserver.SparkSQLEnvSuite",
 "org.apache.spark.sql.hive.thriftserver.ui.ThriftServerPageSuite",
 "org.apache.spark.sql.hive.thriftserver.ui.HiveThriftServer2ListenerSuite",
-"org.apache.spark.sql.hive.thriftserver.ThriftServerWithSparkContextSuite",
+
"org.apache.spark.sql.hive.thriftserver.ThriftServerWithSparkContextInHttpSuite",
+
"org.apache.spark.sql.hive.thriftserver.ThriftServerWithSparkContextInBinarySuite",
 "org.apache.spark.sql.kafka010.KafkaDelegationTokenSuite"

Review comment:
   Can we just run these 2 test suites one by one?





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[GitHub] [spark] cloud-fan commented on a change in pull request #28751: [SPARK-31926][SQL][test-hive1.2] Fix concurrency issue for ThriftCLIService to getPortNumber

2020-06-10 Thread GitBox


cloud-fan commented on a change in pull request #28751:
URL: https://github.com/apache/spark/pull/28751#discussion_r438518997



##
File path: project/SparkBuild.scala
##
@@ -480,7 +480,8 @@ object SparkParallelTestGrouping {
 "org.apache.spark.sql.hive.thriftserver.SparkSQLEnvSuite",
 "org.apache.spark.sql.hive.thriftserver.ui.ThriftServerPageSuite",
 "org.apache.spark.sql.hive.thriftserver.ui.HiveThriftServer2ListenerSuite",
-"org.apache.spark.sql.hive.thriftserver.ThriftServerWithSparkContextSuite",
+
"org.apache.spark.sql.hive.thriftserver.ThriftServerWithSparkContextInHttpSuite",
+
"org.apache.spark.sql.hive.thriftserver.ThriftServerWithSparkContextInBinarySuite",
 "org.apache.spark.sql.kafka010.KafkaDelegationTokenSuite"

Review comment:
   does that mean this approach to speed up the test runner never works for 
maven? cc @gengliangwang @wangyum 





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