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https://issues.apache.org/jira/browse/SPARK-19209?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Hyukjin Kwon updated SPARK-19209:
---------------------------------
    Labels: bulk-closed  (was: )

> "No suitable driver" on first try
> ---------------------------------
>
>                 Key: SPARK-19209
>                 URL: https://issues.apache.org/jira/browse/SPARK-19209
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.1.0
>            Reporter: Daniel Darabos
>            Priority: Critical
>              Labels: bulk-closed
>
> This is a regression from Spark 2.0.2. Observe!
> {code}
> $ ~/spark-2.0.2/bin/spark-shell --jars org.xerial.sqlite-jdbc-3.8.11.2.jar 
> --driver-class-path org.xerial.sqlite-jdbc-3.8.11.2.jar
> [...]
> scala> spark.read.format("jdbc").option("url", 
> "jdbc:sqlite:").option("dbtable", "x").load
> java.sql.SQLException: [SQLITE_ERROR] SQL error or missing database (no such 
> table: x)
> {code}
> This is the "good" exception. Now with Spark 2.1.0:
> {code}
> $ ~/spark-2.1.0/bin/spark-shell --jars org.xerial.sqlite-jdbc-3.8.11.2.jar 
> --driver-class-path org.xerial.sqlite-jdbc-3.8.11.2.jar
> [...]
> scala> spark.read.format("jdbc").option("url", 
> "jdbc:sqlite:").option("dbtable", "x").load
> java.sql.SQLException: No suitable driver
>   at java.sql.DriverManager.getDriver(DriverManager.java:315)
>   at 
> org.apache.spark.sql.execution.datasources.jdbc.JDBCOptions$$anonfun$7.apply(JDBCOptions.scala:84)
>   at 
> org.apache.spark.sql.execution.datasources.jdbc.JDBCOptions$$anonfun$7.apply(JDBCOptions.scala:84)
>   at scala.Option.getOrElse(Option.scala:121)
>   at 
> org.apache.spark.sql.execution.datasources.jdbc.JDBCOptions.<init>(JDBCOptions.scala:83)
>   at 
> org.apache.spark.sql.execution.datasources.jdbc.JDBCOptions.<init>(JDBCOptions.scala:34)
>   at 
> org.apache.spark.sql.execution.datasources.jdbc.JdbcRelationProvider.createRelation(JdbcRelationProvider.scala:32)
>   at 
> org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:330)
>   at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:152)
>   at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:125)
>   ... 48 elided
> scala> spark.read.format("jdbc").option("url", 
> "jdbc:sqlite:").option("dbtable", "x").load
> java.sql.SQLException: [SQLITE_ERROR] SQL error or missing database (no such 
> table: x)
> {code}
> Simply re-executing the same command a second time "fixes" the {{No suitable 
> driver}} error.
> My guess is this is fallout from https://github.com/apache/spark/pull/15292 
> which changed the JDBC driver management code. But this code is so hard to 
> understand for me, I could be totally wrong.
> This is nothing more than a nuisance for {{spark-shell}} usage, but it is 
> more painful to work around for applications.



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