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https://issues.apache.org/jira/browse/SPARK-10625?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-10625:
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Assignee: Apache Spark
> Spark SQL JDBC read/write is unable to handle JDBC Drivers that adds
> unserializable objects into connection properties
> ----------------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-10625
> URL: https://issues.apache.org/jira/browse/SPARK-10625
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.4.1, 1.5.0
> Environment: Ubuntu 14.04
> Reporter: Peng Cheng
> Assignee: Apache Spark
> Labels: jdbc, spark, sparksql
>
> Some JDBC drivers (e.g. SAP HANA) tries to optimize connection pooling by
> adding new objects into the connection properties, which is then reused by
> Spark to be deployed to workers. When some of these new objects are unable to
> be serializable it will trigger an org.apache.spark.SparkException: Task not
> serializable. The following test code snippet demonstrate this problem by
> using a modified H2 driver:
> test("INSERT to JDBC Datasource with UnserializableH2Driver") {
> object UnserializableH2Driver extends org.h2.Driver {
> override def connect(url: String, info: Properties): Connection = {
> val result = super.connect(url, info)
> info.put("unserializableDriver", this)
> result
> }
> override def getParentLogger: Logger = ???
> }
> import scala.collection.JavaConversions._
> val oldDrivers =
> DriverManager.getDrivers.filter(_.acceptsURL("jdbc:h2:")).toSeq
> oldDrivers.foreach{
> DriverManager.deregisterDriver
> }
> DriverManager.registerDriver(UnserializableH2Driver)
> sql("INSERT INTO TABLE PEOPLE1 SELECT * FROM PEOPLE")
> assert(2 === sqlContext.read.jdbc(url1, "TEST.PEOPLE1", properties).count)
> assert(2 === sqlContext.read.jdbc(url1, "TEST.PEOPLE1",
> properties).collect()(0).length)
> DriverManager.deregisterDriver(UnserializableH2Driver)
> oldDrivers.foreach{
> DriverManager.registerDriver
> }
> }
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