Dan created SPARK-18436:
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Summary: isin causing SQL syntax error with JDBC
Key: SPARK-18436
URL: https://issues.apache.org/jira/browse/SPARK-18436
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 2.0.1
Environment: Linux, SQL Server 2012
Reporter: Dan
Priority: Blocker
When using a JDBC data source, the "isin" function generates invalid SQL syntax
when called with an empty array, which causes the JDBC driver to throw an
exception.
If the array is not empty, it works fine.
In the below example you can assume that SOURCE_CONNECTION, SQL_DRIVER and
TABLE are all correctly defined.
scala> val filter = Array[String]()
filter: Array[String] = Array()
scala> val sortDF = spark.read.format("jdbc").options(Map("url" ->
SOURCE_CONNECTION, "driver" -> SQL_DRIVER, "dbtable" ->
TABLE)).load().filter($"cl_ult".isin(filter:_*))
sortDF: org.apache.spark.sql.Dataset[org.apache.spark.sql.Row] = [ibi_bulk_id:
bigint, ibi_row_id: int ... 174 more fields]
scala> sortDF.show()
16/11/14 15:35:46 ERROR Executor: Exception in task 0.0 in stage 6.0 (TID 205)
com.microsoft.sqlserver.jdbc.SQLServerException: Incorrect syntax near ')'.
at
com.microsoft.sqlserver.jdbc.SQLServerException.makeFromDatabaseError(SQLServerException.java:216)
at
com.microsoft.sqlserver.jdbc.SQLServerStatement.getNextResult(SQLServerStatement.java:1515)
at
com.microsoft.sqlserver.jdbc.SQLServerPreparedStatement.doExecutePreparedStatement(SQLServerPreparedStatement.java:404)
at
com.microsoft.sqlserver.jdbc.SQLServerPreparedStatement$PrepStmtExecCmd.doExecute(SQLServerPreparedStatement.java:350)
at com.microsoft.sqlserver.jdbc.TDSCommand.execute(IOBuffer.java:5696)
at
com.microsoft.sqlserver.jdbc.SQLServerConnection.executeCommand(SQLServerConnection.java:1715)
at
com.microsoft.sqlserver.jdbc.SQLServerStatement.executeCommand(SQLServerStatement.java:180)
at
com.microsoft.sqlserver.jdbc.SQLServerStatement.executeStatement(SQLServerStatement.java:155)
at
com.microsoft.sqlserver.jdbc.SQLServerPreparedStatement.executeQuery(SQLServerPreparedStatement.java:285)
at
org.apache.spark.sql.execution.datasources.jdbc.JDBCRDD$$anon$1.<init>(JDBCRDD.scala:408)
at
org.apache.spark.sql.execution.datasources.jdbc.JDBCRDD.compute(JDBCRDD.scala:379)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:319)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:283)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:319)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:283)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:319)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:283)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:319)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:283)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70)
at org.apache.spark.scheduler.Task.run(Task.scala:86)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
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)
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