Hi all, I'm attempting to set up a connection to my LakeFS instance using Azure Databricks using this guide (
https://lakefs.io/blog/databricks-lakefs-integration-tutorial/).
The client seems to work fine, but when I try to access the lakefs:// file system it throws the following error on read (using spark.read.csv(f"lakefs://myrepo/main/foo.csv")):
Py4JJavaError: An error occurred while calling o4523.csv.
: java.io.IOException: statObject
at io.lakefs.LakeFSFileSystem.getFileStatus(LakeFSFileSystem.java:782)
at io.lakefs.LakeFSFileSystem.getFileStatus(LakeFSFileSystem.java:74)
at org.apache.hadoop.fs.FileSystem.isDirectory(FileSystem.java:1777)
at org.apache.spark.sql.execution.streaming.FileStreamSink$.hasMetadata(FileStreamSink.scala:60)
at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:405)
at org.apache.spark.sql.DataFrameReader.loadV1Source(DataFrameReader.scala:378)
at org.apache.spark.sql.DataFrameReader.$anonfun$load$2(DataFrameReader.scala:334)
at scala.Option.getOrElse(Option.scala:189)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:334)
at org.apache.spark.sql.DataFrameReader.csv(DataFrameReader.scala:737)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:397)
at py4j.Gateway.invoke(Gateway.java:306)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:195)
at py4j.ClientServerConnection.run(ClientServerConnection.java:115)
at java.lang.Thread.run(Thread.java:750)
Caused by: io.lakefs.hadoop.shade.api.ApiException: Content type "text/html; charset=utf-8" is not supported for type: class io.lakefs.hadoop.shade.api.model.ObjectStats
at io.lakefs.hadoop.shade.api.ApiClient.deserialize(ApiClient.java:822)
at io.lakefs.hadoop.shade.api.ApiClient.handleResponse(ApiClient.java:1020)
at io.lakefs.hadoop.shade.api.ApiClient.execute(ApiClient.java:944)
at io.lakefs.hadoop.shade.api.ObjectsApi.statObjectWithHttpInfo(ObjectsApi.java:1478)
at io.lakefs.hadoop.shade.api.ObjectsApi.statObject(ObjectsApi.java:1451)
at io.lakefs.LakeFSFileSystem.getFileStatus(LakeFSFileSystem.java:778)
I'm using Azure blob storage.
Any suggestions?