nttq1sub opened a new issue, #10246: URL: https://github.com/apache/hudi/issues/10246
**_Tips before filing an issue_** - Have you gone through our [FAQs](https://hudi.apache.org/learn/faq/)? - Join the mailing list to engage in conversations and get faster support at [email protected]. - If you have triaged this as a bug, then file an [issue](https://issues.apache.org/jira/projects/HUDI/issues) directly. **Describe the problem you faced** When I run HoodieMultiTableDeltaStreamer with spark-on-k8s-operator. I saw it run but just one table that have data to fill in, how should I config to run it perfectly with more than 2 tables. How does it work when run on k8s cluster. Does 1 driver handle multiple tables or 1 driver each table. Does it process sequentially or parrallel on driver ? Thanks so much if have anyone explain these points for me? **To Reproduce** Steps to reproduce the behavior: 1. 2. 3. 4. **Expected behavior** A clear and concise description of what you expected to happen. **Environment Description** * Hudi version : 0.13.0 * Spark version : 3.2 * Hive version : 3.1.1 * Hadoop version : 2.3.0 * Storage (HDFS/S3/GCS..) : hdfs * Running on Docker? (yes/no) : kubenetes **Additional context** Add any other context about the problem here. **Stacktrace** ```Add the stacktrace of the error.``` -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
