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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: com.sun.security.auth.module.Krb5LoginModule"
It is supposed to look for com.ibm.security.auth.module.Krb5LoginModule 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 12:20 184.108.40.206 drwxr-xr-x. 3 egoadmin cbb 4096 May 11 12:22 220.127.116.11
Both these versions (18.104.22.168 , 22.214.171.124) 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
df_table.show() 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
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