Troubleshooting

In case of error please follow instructions below:

• Read the logs or exception messages you've faced with.
  • If Python logs are note verbose enough, increase the log level.
  • If Spark logs are note verbose enough, increase the log level.
• Read documentation related to a class or method you are using.
• Google the error message, and carefully read the search result:
  • StackOverflow answers.
  • Spark documentation.
  • Documentation of database or filesystem you are connecting to.
  • Documentation of underlying connector.
• Search for known issues, or create a new one.
• Always use the most resent versions of onETL, PySpark and connector packages, compatible with your environment.