Can you try adding "driver" -> "com.mysql.jdbc.Driver"? This causes the
class to get loaded both locally and the workers so that it can register
with JDBC.
On Sun, Mar 22, 2015 at 7:32 AM, gavin zhang <gavin....@gmail.com> wrote:
> OK, I have known that I could use jdbc connector to create DataFrame with
> this command:
>
> val jdbcDF = sqlContext.load("jdbc", Map("url" ->
> "jdbc:mysql://localhost:3306/video_rcmd?user=root&password=123456",
> "dbtable" -> "video"))
>
> But I got this error:
>
> java.sql.SQLException: No suitable driver found for ...
>
> And I have tried to add jdbc jar to spark_path with both commands but
> failed:
>
> - spark-shell --jars mysql-connector-java-5.0.8-bin.jar
> - SPARK_CLASSPATH=mysql-connector-java-5.0.8-bin.jar spark-shell
>
> My Spark version is 1.3.0 while
> `Class.forName("com.mysql.jdbc.Driver").newInstance` is worked.
>
>
>
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