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  1. Spark
  2. SPARK-10890

"Column count does not match; SQL statement:" error in JDBCWriteSuite

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Details

    • Bug
    • Status: Resolved
    • Major
    • Resolution: Cannot Reproduce
    • 1.5.0
    • 2.1.1
    • Tests
    • None

    Description

      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

      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.

      The test completes successfully but it spits out an alarming stack trace. I think it would be better if the stack trace were swallowed.

      —

      Edit 2017/01/14: This issue may have been addressed by another fix. The reported ERROR messages and stack traces are no longer printed to the console:

      $ mvn scalatest:test -pl sql/core -Dsuites='org.apache.spark.sql.jdbc.JDBCWriteSuite' -q
      Java HotSpot(TM) 64-Bit Server VM warning: ignoring option MaxPermSize=512m; support was removed in 8.0
Run starting. Expected test count is: 20
JDBCWriteSuite:
16:33:54.654 WARN org.apache.hadoop.util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
- Basic CREATE
- Basic CREATE with illegal batchsize
- Basic CREATE with batchsize
- CREATE with ignore
- CREATE with overwrite
- CREATE then INSERT to append
- SPARK-18123 Append with column names with different cases
- Truncate
- createTableOptions
- Incompatible INSERT to append
- INSERT to JDBC Datasource
- INSERT to JDBC Datasource with overwrite
- save works for format("jdbc") if url and dbtable are set
- save API with SaveMode.Overwrite
- save errors if url is not specified
- save errors if dbtable is not specified
- save errors if wrong user/password combination
- save errors if partitionColumn and numPartitions and bounds not set
- SPARK-18433: Improve DataSource option keys to be more case-insensitive
- SPARK-18413: Use `numPartitions` JDBCOption
Run completed in 6 seconds, 541 milliseconds.
Total number of tests run: 20
Suites: completed 1, aborted 0
Tests: succeeded 20, failed 0, canceled 0, ignored 0, pending 0
All tests passed.

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            Unassigned Unassigned
            rhillegas Richard N. Hillegas
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              Created:
              Updated:
              Resolved: