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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