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https://issues.apache.org/jira/browse/SPARK-10890?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14979644#comment-14979644
]
Christian Kadner commented on SPARK-10890:
------------------------------------------
Hi [~rhillegas]
since the `org.h2.jdbc.JdbcSQLException` is logged by
`org.apache.spark.executor.Executor` and again by
`org.apache.spark.scheduler.TaskSetManager`, we could try to influence their
log behavior / log levels.
The easiest way to suppress the logging of the expected exception is to
temporarily increase the log threshold to `FATAL` while the test case is
executed and restore the original log level right after.
I realize this is a _"hack"_ with the side effect of suppressing any other log
message of less than FATAL severity during the test case execution. Discussion
invited :-)
> "Column count does not match; SQL statement:" error in JDBCWriteSuite
> ---------------------------------------------------------------------
>
> Key: SPARK-10890
> URL: https://issues.apache.org/jira/browse/SPARK-10890
> Project: Spark
> Issue Type: Bug
> Components: Tests
> Affects Versions: 1.5.0
> Reporter: Rick Hillegas
>
> I get the following error when I run the following test...
> mvn -Dhadoop.version=2.4.0
> -DwildcardSuites=org.apache.spark.sql.jdbc.JDBCWriteSuite test
> {noformat}
> JDBCWriteSuite:
> 13:22:15.603 WARN org.apache.hadoop.util.NativeCodeLoader: Unable to load
> native-hadoop library for your platform... using builtin-java classes where
> applicable
> 13:22:16.506 WARN org.apache.spark.metrics.MetricsSystem: Using default name
> DAGScheduler for source because spark.app.id is not set.
> - Basic CREATE
> - CREATE with overwrite
> - CREATE then INSERT to append
> - CREATE then INSERT to truncate
> 13:22:19.312 ERROR org.apache.spark.executor.Executor: Exception in task 0.0
> in stage 23.0 (TID 31)
> org.h2.jdbc.JdbcSQLException: Column count does not match; SQL statement:
> INSERT INTO TEST.INCOMPATIBLETEST VALUES (?, ?, ?) [21002-183]
> at org.h2.message.DbException.getJdbcSQLException(DbException.java:345)
> at org.h2.message.DbException.get(DbException.java:179)
> at org.h2.message.DbException.get(DbException.java:155)
> at org.h2.message.DbException.get(DbException.java:144)
> at org.h2.command.dml.Insert.prepare(Insert.java:265)
> at org.h2.command.Parser.prepareCommand(Parser.java:247)
> at org.h2.engine.Session.prepareLocal(Session.java:446)
> at org.h2.engine.Session.prepareCommand(Session.java:388)
> at org.h2.jdbc.JdbcConnection.prepareCommand(JdbcConnection.java:1189)
> at
> org.h2.jdbc.JdbcPreparedStatement.<init>(JdbcPreparedStatement.java:72)
> at org.h2.jdbc.JdbcConnection.prepareStatement(JdbcConnection.java:277)
> at
> org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.insertStatement(JdbcUtils.scala:72)
> at
> org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.savePartition(JdbcUtils.scala:100)
> at
> org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anonfun$saveTable$1.apply(JdbcUtils.scala:229)
> at
> org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anonfun$saveTable$1.apply(JdbcUtils.scala:228)
> at
> org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1$$anonfun$apply$32.apply(RDD.scala:892)
> at
> org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1$$anonfun$apply$32.apply(RDD.scala:892)
> at
> org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1856)
> at
> org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1856)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
> at org.apache.spark.scheduler.Task.run(Task.scala:88)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> 13:22:19.312 ERROR org.apache.spark.executor.Executor: Exception in task 1.0
> in stage 23.0 (TID 32)
> org.h2.jdbc.JdbcSQLException: Column count does not match; SQL statement:
> INSERT INTO TEST.INCOMPATIBLETEST VALUES (?, ?, ?) [21002-183]
> at org.h2.message.DbException.getJdbcSQLException(DbException.java:345)
> at org.h2.message.DbException.get(DbException.java:179)
> at org.h2.message.DbException.get(DbException.java:155)
> at org.h2.message.DbException.get(DbException.java:144)
> at org.h2.command.dml.Insert.prepare(Insert.java:265)
> at org.h2.command.Parser.prepareCommand(Parser.java:247)
> at org.h2.engine.Session.prepareLocal(Session.java:446)
> at org.h2.engine.Session.prepareCommand(Session.java:388)
> at org.h2.jdbc.JdbcConnection.prepareCommand(JdbcConnection.java:1189)
> at
> org.h2.jdbc.JdbcPreparedStatement.<init>(JdbcPreparedStatement.java:72)
> at org.h2.jdbc.JdbcConnection.prepareStatement(JdbcConnection.java:277)
> at
> org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.insertStatement(JdbcUtils.scala:72)
> at
> org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.savePartition(JdbcUtils.scala:100)
> at
> org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anonfun$saveTable$1.apply(JdbcUtils.scala:229)
> at
> org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anonfun$saveTable$1.apply(JdbcUtils.scala:228)
> at
> org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1$$anonfun$apply$32.apply(RDD.scala:892)
> at
> org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1$$anonfun$apply$32.apply(RDD.scala:892)
> at
> org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1856)
> at
> org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1856)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
> at org.apache.spark.scheduler.Task.run(Task.scala:88)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> 13:22:19.325 WARN org.apache.spark.scheduler.TaskSetManager: Lost task 1.0 in
> stage 23.0 (TID 32, localhost): org.h2.jdbc.JdbcSQLException: Column count
> does not match; SQL statement:
> INSERT INTO TEST.INCOMPATIBLETEST VALUES (?, ?, ?) [21002-183]
> at org.h2.message.DbException.getJdbcSQLException(DbException.java:345)
> at org.h2.message.DbException.get(DbException.java:179)
> at org.h2.message.DbException.get(DbException.java:155)
> at org.h2.message.DbException.get(DbException.java:144)
> at org.h2.command.dml.Insert.prepare(Insert.java:265)
> at org.h2.command.Parser.prepareCommand(Parser.java:247)
> at org.h2.engine.Session.prepareLocal(Session.java:446)
> at org.h2.engine.Session.prepareCommand(Session.java:388)
> at org.h2.jdbc.JdbcConnection.prepareCommand(JdbcConnection.java:1189)
> at
> org.h2.jdbc.JdbcPreparedStatement.<init>(JdbcPreparedStatement.java:72)
> at org.h2.jdbc.JdbcConnection.prepareStatement(JdbcConnection.java:277)
> at
> org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.insertStatement(JdbcUtils.scala:72)
> at
> org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.savePartition(JdbcUtils.scala:100)
> at
> org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anonfun$saveTable$1.apply(JdbcUtils.scala:229)
> at
> org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anonfun$saveTable$1.apply(JdbcUtils.scala:228)
> at
> org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1$$anonfun$apply$32.apply(RDD.scala:892)
> at
> org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1$$anonfun$apply$32.apply(RDD.scala:892)
> at
> org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1856)
> at
> org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1856)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
> at org.apache.spark.scheduler.Task.run(Task.scala:88)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> 13:22:19.327 ERROR org.apache.spark.scheduler.TaskSetManager: Task 1 in stage
> 23.0 failed 1 times; aborting job
> - Incompatible INSERT to append
> - INSERT to JDBC Datasource
> - INSERT to JDBC Datasource with overwrite
> Run completed in 6 seconds, 390 milliseconds.
> Total number of tests run: 7
> Suites: completed 2, aborted 0
> Tests: succeeded 7, failed 0, canceled 0, ignored 0, pending 0
> All tests passed.
> {noformat}
> The test completes successfully but it spits out an alarming stack trace. I
> think it would be better if the stack trace were swallowed.
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