Connecting and testing a JDBC driver from Python

Question

I'm trying to do some testing on our JDBC driver using Python.

Initially figuring out JPype, I eventually managed to connect the driver and execute select queries like so (reproducing a generalized snippet):

from __future__ import print_function
from jpype import *

#Start JVM, attach the driver jar
jvmpath = 'path/to/libjvm.so'
classpath = 'path/to/JDBC_Driver.jar'
startJVM(jvmpath, '-ea', '-Djava.class.path=' + classpath)

# Magic line 1
driver = JPackage('sql').Our_Driver

# Initiating a connection via DriverManager()
jdbc_uri = 'jdbc:our_database://localhost:port/database','user', 'passwd')  
conn = java.sql.DriverManager.getConnection(jdbc_uri)

# Executing a statement
stmt = conn.createStatement()
rs = stmt.executeQuery ('select top 10 * from some_table')

# Extracting results
while rs.next():
    ''' Magic #2 - rs.getStuff() only works inside a while loop '''
    print (rs.getString('col_name'))

However, I've failed to to batch inserts, which is what I wanted to test. Even when executeBatch() returned a jpype int[], which should indicate a successful insert, the table was not updated.

I then decided to try out py4j.

My plight - I'm having a hard time figuring out how to do the same thing as above. It is said py4j does not start a JVM on its own, and that the Java code needs to be prearranged with a GatewayServer(), so I'm not sure it's even feasible.

On the other hand, there's a library named py4jdbc that does just that.

I tinkered through the dbapi.py code but didn't quite understand the flow, and am pretty much jammed.

If anyone understands how to load a JDBC driver from a .jar file with py4j and can point me in the right direction, I'd be much grateful.

Answer 1

add a commit after adding the records and before retrieving.

conn.commit()