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Status Delivered
Workspace Spectrum Conductor
Components Future Version
Created by Guest
Created on Jun 9, 2021

PySpark Kernel unable to read/extract when connected to external database using Kerberos Keytab

IBM JRE supplied as part of Sym 7.3.1 + Conductor 2.5 is incompatible with current use-case

Use-case: We have a client that uses Spark/Notebooks (PySpark kernel) to connect an external database via ODBC using kerberos. Whenever they try to connect to external DB using IBM supplied versions of JRE (see below) - they are encountering

"unable to find LoginModule class:"

It is supposed to look for instead but that isn't the case.

[egoadmin@cbbenp13-cc017 ~]$ cd /opt/middleware/symphony/jre/
[egoadmin@cbbenp13-cc017 jre]$ ls -ltr
total 20
drwxr-xr-x. 3 egoadmin cbb 4096 May 11 12:20
drwxr-xr-x. 3 egoadmin cbb 4096 May 11 12:22

Both these versions ( , do not work for current clients use-case when we point the JAVA_HOME to the associated jre

Upon on checking with Support team on this issue, we were provided with OpenJDK (see below) - now, they are able to read data properly however encounter errors when they try to see the content. We need to understand what really happens behind show() that involves Kerberos

[egoadmin@cbbenp13-cc017 ~]$ cd /opt/middleware/symphony/jre/
[egoadmin@cbbenp13-cc017 jre]$ ls -ltr
total 20
drwxr-xr-x. 8 egoadmin cbb 4096 Jun 18 2020 jdk1.8.0_261 --- Provided by Ding from support team throws an error

" Error: The service in process is not supported. Unable to find valid kerberos
principal for authentication"

This is odd to me, as the Spark read works , but when we view the dataframe it doesnt work - See below

(Below snippet works fine)

jdbcurl = "jdbc:oracle:thin:@//"

df_table ="jdbc").option("url",jdbcurl) \
.option("dbtable", "(SELECT * FROM sys.dual)") \
.option("oracle.jdbc.allowedLogonVersion","8") \
.option("","true") \
.option("","( KERBEROS5)") \
.option("Driver","oracle.jdbc.OracleDriver") \
.option("","/cpa/fs1/deploy/keys_ea/krb5cc_309936") \

We also need your help to understand what happens behind .show()