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Update Conductor JVM version from Java 8.0 to Java 11
The current version of Conductor JVM is 8.0 which is old and doesn't allow prospective clients to use Conductor for their current use case. They are looking for support of Java 11 to adopt Conductor for their workload
Add support for spark.worker.cleanup or its alternative
Some of our Spark applications run long and produce large volume of shuffle data. We use SparkCleanup to cleanup shuffle data, however SparkCleanup service sometimes deletes shuffle files on long running applications which causes failures. If ther...
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-caseUse-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 ...
Conda Package for Pytorch - ppc64le with Cuda 10.2
We are currently using Spectrum Conductor 2.5 on RHEL 7.6 with Cuda 10.2 on Power 9 servers. The model validators need the latest Pytorch Package to validate models with the latest features. The current IBM repo channels are having packages that a...
We are provide permission at group level ,when we add new users to group, user level permission it is not synched.bash-4.2$ egosh user roles4user -u u003464No role for user <u003464>.bash-4.2$ getent group cmrddsairawcmrddsairaw::3059:a07965...
Agnostic/Generic Instance Groups and Resource Scheduler
We are in need of agnostic/generic instance groups and an agnostic/genericresource scheduler.*) agnostic/genericresource schedulerThere is a common need for our data scientists to schedule a "pure" non-Spark TensorFlow Python application to run....
Run SparkCleanup service per individual Instance group instead of centrally
We would like SparkCleanup service to run as execution user of each individual Instance Group, rather than centrally as cluster admin. This will avoid the need to do preliminary work to make sure execution users of SIG are part of cluster admin un...
Currently Spark Master runs as the execution user specified in the SIG which happens to be different from cluster admin and depends on SIG tenant/consumer group. That spark master resources such as logs are owned by tenant user makes it difficult ...
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