ZEPL provides a Log Console for a given notebook that the user can open to view the interpreter logs. The output stream in the Log Console will be specific to the given notebook and its interpreters.
ZEPL supports logging console for Python, Spark and JDBC interpreters. To begin using the Log Console, simply run the paragraph you're working on. If you shutdown the notebook, Log Console will be automatically closed. The Log Console is located at the bottom of the notebook. To open, click on the Console tab.
The interpreter logs are based on the Apache Zeppelin Interpreter log.
This is a sample Spark Interpreter log in the Log Console.
... [2018-09-04 15:46:46,483Z] INFO (pool-2-thread-4) | Job 13121f1eca... finished by scheduler interpreter [2018-09-04 15:46:45,070Z] INFO (event-loop) | Created broadcast 0 [2018-09-04 15:46:45,074Z] INFO (event-loop) | Submitting 4 missing tasks from ShuffleMapStage 0 [2018-09-04 15:46:45,076Z] INFO (event-loop) | Adding task set 0.0 with 4 tasks [2018-09-04 15:46:45,128Z] INFO (event-loop-3) | Starting task 0.0 in stage 0.0 (TID 0, 124008 bytes) [2018-09-04 15:46:45,134Z] INFO (event-loop-3) | Starting task 1.0 in stage 0.0 (TID 1, 123915 bytes) ... [2018-09-04 15:46:45,156Z] INFO (worker for task 0) | Running task 0.0 in stage 0.0 (TID 0) [2018-09-04 15:46:45,156Z] INFO (worker for task 3) | Running task 3.0 in stage 0.0 (TID 3) ... [2018-09-04 15:46:45,164Z] INFO (worker for task 2) | Fetching spark [2018-09-04 15:46:46,131Z] INFO (worker for task 2) | Finished task 2.0 in stage 0.0 (TID 2). 1968 bytes ...