Local Executor Log Path on Azure Databricks Executor logs are written locally on each executor node under the work directory: The path pattern is:
/databricks/spark/work/<app-id>/<executor-id>
For example: /databricks/spark/work/app-20221121180310-0000/0
This directory contains logs specific to each executor, including standard output (stdout), standard error (stderr), and log4j log files.
This directory is present on the local filesystem of each Spark worker (executor) node, regardless of whether cluster log delivery (to Azure Blob/DBFS) is enabled.
The log delivery mechanism periodically uploads from these local filesโbut the original logs reside on the worker node while the executor is running.