JIRA and PR for first issue:
https://issues.apache.org/jira/browse/SPARK-6408
https://github.com/apache/spark/pull/5087
On Thu, Mar 19, 2015 at 12:20 PM, Pei-Lun Lee pl...@appier.com wrote:
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
Not sure these are bug in spark sql or jdbc. I can file JIRA ticket if
needed.
Thanks,
--
Pei-Lun
