Comments (6)
@eoinlane It seems that RocksDB 5.2.1 is already used by DataBricks https://docs.databricks.com/release-notes/runtime/3.5.html
Probably we can fix it with shading or release special version for DataBricks
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Thanks aleksei-ai, a release special version for DataBricks would be great.
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hi @eoinlane, until a special release for Databricks comes along, you can use the following image to create your cluster in Databricks platform,
Spark 2.1 (Auto-updating, Scala2.11)
I tried that image and was able to run your code without problems.
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I created a jar that uses older 5.2.1 rocksdb library, that will enable the use of the latest 3.5 Databricks images, take a look here,
https://drive.google.com/open?id=1WwNDDjPXBo3LDxYtbsADscwnDFLXKkNv
@saifjsl, @aleksei-ai, A PR for this can be found (here).
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I can confirm that both of those options are working and look forward to a supported Databricks release going forward. Thanks for all your help.
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Going with this downgrade fix for now #109
We should consider longer term solution though.
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Related Issues (20)
- Sparknlp returning different embedding for manual spark dataframe vs reading from file spark dataframe HOT 5
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- Onnx models fail when saving transformer
- Hardcoded column name in DocumentSimilarityRanker annotator
- ERROR TorrentBroadcast: Store broadcast broadcast_5 fail, remove all pieces of the broadcast HOT 7
- Scala 2.13 support HOT 1
- org.apache.spark.SparkException: [FAILED_EXECUTE_UDF] HOT 3
- DependencyParserApproach throws "IllegalArgumentException: For input string: "_"" when training with CONLLU dataset HOT 5
- When Attempting to loadSavedModel, I Encountered 'java.lang.Exception: Could Not Retrieve the SavedModelBundle + () HOT 15
- Importing models into Spark NLP in TensorFlow and ONNX formats
- MultiClassifierDLApproach not transforming every row of my dataset HOT 1
- An error occurred while calling z:com.johnsnowlabs.nlp.pretrained.PythonResourceDownloader.downloadModel. : java.lang.UnsatisfiedLinkError: no jnitensorflow in java.library.path: /Users/alexc./Library/Java/Extensions:/Library/Java/Extensions:/Network/Library/Java/Extensions:/System/Library/Java/Extensions:/usr/lib/java:. HOT 1
- KMeans throws “Column features must be of type equal to one of the following types” HOT 1
- Cache mechanism is not working related to metadata.json in s3 HOT 3
- XLMRoberta embeddings not differentiating between different sentences
- It seems the model is downloaded every time the program starts - any way to cache? HOT 1
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