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https://issues.apache.org/jira/browse/SPARK-9985?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14698729#comment-14698729
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Shixiong Zhu commented on SPARK-9985:
-------------------------------------
I just realized SPARK-8463 didn't fix all problems. You will still encounter
`No suitable driver found error` when using DataFrameReader.jdbc or
DataFrameWriter.jdbc. I opened SPARK-10036 to track this issue since it has a
different stack trace.
> DataFrameWriter jdbc method ignore options that have been set
> -------------------------------------------------------------
>
> Key: SPARK-9985
> URL: https://issues.apache.org/jira/browse/SPARK-9985
> Project: Spark
> Issue Type: Bug
> Reporter: Richard Garris
> Assignee: Shixiong Zhu
>
> I am working on an RDBMS to DataFrame conversion using Postgres and am
> hitting a wall where everytime I try to use the Postgresql JDBC driver to get
> a java.sql.SQLException: No suitable driver found error
> Here is the stack trace:
> {code}
> at java.sql.DriverManager.getConnection(DriverManager.java:596)
> at java.sql.DriverManager.getConnection(DriverManager.java:187)
> at
> org.apache.spark.sql.jdbc.package$JDBCWriteDetails$.savePartition(jdbc.scala:67)
> at
> org.apache.spark.sql.jdbc.package$JDBCWriteDetails$$anonfun$saveTable$1.apply(jdbc.scala:189)
> at
> org.apache.spark.sql.jdbc.package$JDBCWriteDetails$$anonfun$saveTable$1.apply(jdbc.scala:188)
> at
> org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1$$anonfun$apply$29.apply(RDD.scala:878)
> at
> org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1$$anonfun$apply$29.apply(RDD.scala:878)
> at
> org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1765)
> at
> org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1765)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:63)
> at org.apache.spark.scheduler.Task.run(Task.scala:70)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> at java.lang.Thread.run(Thread.java:745)
> {code}
> It appears that DataFrameWriter and DataFrameReader ignores options that we
> set before invoking {{jdbc}}.
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