Reputation: 2868
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.
Upvotes: 1
Views: 26497
Reputation: 2868
In py4j, with your respective JDBC uri:
from py4j.java_gateway import JavaGateway
# Open JVM interface with the JDBC Jar
jdbc_jar_path = '/path/to/jdbc_driver.jar'
gateway = JavaGateway.launch_gateway(classpath=jdbc_jar_path)
# Load the JDBC Jar
jdbc_class = "com.vendor.VendorJDBC"
gateway.jvm.class.forName(jdbc_class)
# Initiate connection
jdbc_uri = "jdbc://vendor:192.168.x.y:zzzz;..."
con = gateway.jvm.DriverManager.getConnection(jdbc_uri)
# Run a query
sql = "select this from that"
stmt = con.createStatement(sql)
rs = stmt.executeQuery()
while rs.next():
rs.getInt(1)
rs.getFloat(2)
.
.
rs.close()
stmt.close()
Upvotes: 1
Reputation: 274
I have met a similar problem in airflow, I used teradata jdbc jars and jaydebeapi to connect teradata database and execute sql:
[root@myhost transfer]# cat test_conn.py
import jaydebeapi
from contextlib import closing
jclassname='com.teradata.jdbc.TeraDriver'
jdbc_driver_loc = '/opt/spark-2.3.1/jars/terajdbc4-16.20.00.06.jar,/opt/spark-2.3.1/jars/tdgssconfig-16.20.00.06.jar'
jdbc_driver_name = 'com.teradata.jdbc.TeraDriver'
host='my_teradata.address'
url='jdbc:teradata://' + host + '/TMODE=TERA'
login="teradata_user_name"
psw="teradata_passwd"
sql = "SELECT COUNT(*) FROM A_TERADATA_TABLE_NAME where month_key='202009'"
conn = jaydebeapi.connect(jclassname=jdbc_driver_name,
url=url,
driver_args=[login, psw],
jars=jdbc_driver_loc.split(","))
with closing(conn) as conn:
with closing(conn.cursor()) as cur:
cur.execute(sql)
print(cur.fetchall())
[root@myhost transfer]# python test_conn.py
[(7734133,)]
[root@myhost transfer]#
Upvotes: 0
Reputation: 452
add a commit after adding the records and before retrieving.
conn.commit()
Upvotes: 3