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toDF() isn't working on the shell #1
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Thanks for using AWS Glue. Please refer to the step 5 in AWS Glue documentation on using a REPL shell at: http://docs.aws.amazon.com/glue/latest/dg/tutorial-development-endpoint-repl.html If you have further questions, you can also use the AWS Glue Forum: https://forums.aws.amazon.com/forum.jspa?forumID=262 |
Thanks for the suggestion. I've tried it but unfortunately I still get the same error. |
Thanks for trying out the fix. We were not able to reproduce the error on a REPL shell after using the above fix. |
The fix with
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One workaround would be to disable hive support when sparkContext is initialized. newconf = sc._conf.set("spark.sql.catalogImplementation", "in-memory") Let me know if this causes you additional problems. |
The
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I ran into this as well. Why isn't the development environment setup to support this from the beginning? There's lots of glue documentation out there using |
Just ran into this. The above did not work for me. |
apache/spark@ac9c053 this is a spark patch that should fix this in the Spark 3.0.0 release |
Fixed Python library dependency on the Delta Lake example notebook
Example Formatting
I get the same error (see attached) when trying
orgs.toDF().show()
ormemberships.select_fields(['organization_id']).toDF().distinct().show()
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