Hi, I am trying jdbc data source in spark sql 1.3.0 and found some issues.
First, the syntax "where str_col='value'" will give error for both postgresql and mysql: psql> create table foo(id int primary key,name text,age int); bash> SPARK_CLASSPATH=postgresql-9.4-1201-jdbc41.jar spark/bin/spark-shell scala> sqlContext.load("jdbc",Map("url"->"jdbc:postgresql://XXX","dbtable"->"foo")).registerTempTable("foo") scala> sql("select * from foo where name='bar'").collect org.postgresql.util.PSQLException: ERROR: operator does not exist: text = bar Hint: No operator matches the given name and argument type(s). You might need to add explicit type casts. Position: 40 scala> sql("select * from foo where name like '%foo'").collect bash> SPARK_CLASSPATH=mysql-connector-java-5.1.34.jar spark/bin/spark-shell scala> sqlContext.load("jdbc",Map("url"->"jdbc:mysql://XXX","dbtable"->"foo")).registerTempTable("foo") scala> sql("select * from foo where name='bar'").collect com.mysql.jdbc.exceptions.jdbc4.MySQLSyntaxErrorException: Unknown column 'bar' in 'where clause' Second, postgresql table with json data type does not work: psql> create table foo(id int primary key, data json); scala> sqlContext.load("jdbc",Map("url"->"jdbc:mysql://XXX","dbtable"->"foo")).registerTempTable("foo") java.sql.SQLException: Unsupported type 1111 Not sure these are bug in spark sql or jdbc. I can file JIRA ticket if needed. Thanks, -- Pei-Lun