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| author | Yin Huai <yhuai@databricks.com> | 2015-09-22 00:07:30 -0700 |
|---|---|---|
| committer | Andrew Or <andrew@databricks.com> | 2015-09-22 00:07:30 -0700 |
| commit | 4da32bc0e747fefe847bffe493785d4d16069c04 (patch) | |
| tree | bc9ffb59bc0c6b1545cc4f863d584d701d57e6cc /sql | |
| parent | fd61b004877ba4d51c95cd0e08f53bffdf106395 (diff) | |
| download | spark-4da32bc0e747fefe847bffe493785d4d16069c04.tar.gz spark-4da32bc0e747fefe847bffe493785d4d16069c04.tar.bz2 spark-4da32bc0e747fefe847bffe493785d4d16069c04.zip | |
[SPARK-8567] [SQL] Increase the timeout of o.a.s.sql.hive.HiveSparkSubmitSuite to 5 minutes.
https://issues.apache.org/jira/browse/SPARK-8567
Looks like "SPARK-8368: includes jars passed in through --jars" is pretty flaky now. Based on some history runs, the time spent on a successful run may be from 1.5 minutes to almost 3 minutes. Let's try to increase the timeout and see if we can fix this test.
https://amplab.cs.berkeley.edu/jenkins/job/Spark-1.5-SBT/AMPLAB_JENKINS_BUILD_PROFILE=hadoop2.0,label=spark-test/385/testReport/junit/org.apache.spark.sql.hive/HiveSparkSubmitSuite/SPARK_8368__includes_jars_passed_in_through___jars/history/?start=25
Author: Yin Huai <yhuai@databricks.com>
Closes #8850 from yhuai/SPARK-8567-anotherTry.
Diffstat (limited to 'sql')
| -rw-r--r-- | sql/hive/src/test/scala/org/apache/spark/sql/hive/HiveSparkSubmitSuite.scala | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/sql/hive/src/test/scala/org/apache/spark/sql/hive/HiveSparkSubmitSuite.scala b/sql/hive/src/test/scala/org/apache/spark/sql/hive/HiveSparkSubmitSuite.scala index 97df249bdb..5f1660b62d 100644 --- a/sql/hive/src/test/scala/org/apache/spark/sql/hive/HiveSparkSubmitSuite.scala +++ b/sql/hive/src/test/scala/org/apache/spark/sql/hive/HiveSparkSubmitSuite.scala @@ -139,7 +139,7 @@ class HiveSparkSubmitSuite new ProcessOutputCapturer(process.getErrorStream, captureOutput("stderr")).start() try { - val exitCode = failAfter(180.seconds) { process.waitFor() } + val exitCode = failAfter(300.seconds) { process.waitFor() } if (exitCode != 0) { // include logs in output. Note that logging is async and may not have completed // at the time this exception is raised |