Comments (3)
Spark NLP 3.4.4 is an extremely old release. Could you please use 5.2.2 release? Please follow these steps to be sure you are on the latest version correctly https://github.com/JohnSnowLabs/spark-nlp#databricks-cluster
PS: you must have write permission on tmp_dir path via Spark natively or else it fails with permission denied error.
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@maziyarpanahi, thanks for your prompt response and I have updated to use latest release. It seems that the root cause of the issue is the extra file system url prefix and this has been tested/verified via Databricks notebook. I will submit this PR for the fix. Please let me know if you have any thoughts. Thanks,
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This should be resolved in 5.3.0 release. Thank you @jiamaozheng for your valuable contribution 🚀
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Related Issues (20)
- spark-nlp in databricks writing to root s3 in cluster HOT 1
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