Connect to Teradata Using Airflow JDBC Connection - jdbc

Question

I'm trying to execute a SqlSensor task in Airflow using a connection to Teradata database. The connection is configured as follow:
I have provide in particular 2 driver paths separated by ", " but I am not sure if it's the proper way to do it?
/home/airflow/java_sample/tdgssconfig.jar
/home/airflow/java_sample/terajdbc4.jar
When the DAG executes, it triggers the error message
[2017-08-02 02:32:45,162] {models.py:1342} INFO - Executing <Task(SqlSensor): check_running_batch> on 2017-08-02 02:32:12
[2017-08-02 02:32:45,179] {base_hook.py:67} INFO - Using connection to: jdbc:teradata://myservername.mycompanyname.org/database=MYDBNAME,TMODE=ANSI,CHARSET=UTF8
[2017-08-02 02:32:45,313] {sensors.py:109} INFO - Poking: SELECT BATCH_KEY FROM MYDBNAME.AUDIT_BATCH WHERE BATCH_OWNER='ARO_TEST' AND AUDIT_STATUS_KEY=1;
[2017-08-02 02:32:45,316] {base_hook.py:67} INFO - Using connection to: jdbc:teradata://myservername.mycompanyname.org/database=MYDBNAME,TMODE=ANSI,CHARSET=UTF8
[2017-08-02 02:32:45,497] {models.py:1417} ERROR - java.lang.RuntimeException: Class com.teradata.jdbc.TeraDriver not found
What am I doing wrong?

Answer 1

The appropriate way to input multiple jars in the connections page is to separate both fully qualified paths with a comma which you did above.
I can confirm this is the approach I took and it worked (Airflow 10.1.1 and 10.1.2).
See: https://github.com/apache/airflow/blob/master/airflow/hooks/jdbc_hook.py#L51
Bonus: If you use Ad Hoc Query in Data Profiling to test it out, you'll notice that you'll get an error when you send a SELECT statement because Airflow wraps it in a LIMIT clause which TD doesn't support.

Answer 2

The solution provided by my team member was to merge the two jar into a single jar file. After doing it and indicating that new jar file in the driver path, it worked as expected.
Here is the link to the JAR file: https://github.com/alexisrolland/linux-setup/blob/master/teradataDriverJdbc.jar
Here is a code snippet example to use the connection in a SQLSensor Task:
CheckRunningBatch = SqlSensor(
task_id='check_running_batch',
conn_id='ed_data_quality_edw_dev',
sql="SELECT CASE WHEN MAX(BATCH_KEY) IS NOT NULL THEN 0 ELSE 1 END FROM DATABASE.AUDIT_BATCH WHERE STATUS_KEY=1;",
poke_interval=300,
dag=dag)