Peng Cheng created SPARK-10625: ---------------------------------- Summary: 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: 1.5.0, 1.4.1 Environment: Ubuntu 14.04 Reporter: Peng Cheng
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 } } -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org