Big Data: known issues and known limitations
We encourage you to consult the JIRA bug tracking tool for a full list of open issues:
https://jira.talendforge.org/issues/?filter=29842|
Limitation |
Description |
|---|---|
| Azure Data Lake Storage | The output files of Spark cannot be merged into one file on Azure Data Lake
Storage, because this function is not supported by Azure Data Lake Storage.
In addition, this function has been deprecated in the latest Hadoop
API. Related issue: https://jira.talendforge.org/browse/TBD-5953. |
| Hive | Hive is not supported in Spark Local mode. |
| Java 11 |
Java 11 is not supported in the Standard Jobs or the Metadata Repository once they involve Big Data distributions. This limitation is due to the constraint to support Java 11 of the Big Data distributions. |
| Java 11 |
Java 11 is not supported in a MapReduce or a Spark Job. This limitation is due to the constraint to support Java 11 of the Big Data distributions. |