Error in reading files in Azure blob storage from laptop spark - azure

Question

I have setup spark (spark-3.2.1-bin-hadoop3.2) in my laptop and trying to read a CSV file from Azure blob storage which is failing. Here is what I am doing to get the prompt:
./bin/pyspark \
--conf spark.hadoop.fs.azure.account.key.<storage-account>.blob.core.windows.net=<key>\
--packages org.apache.hadoop:hadoop-azure:3.3.2,com.microsoft.azure:azure-storage:8.6.6
And then:
df = spark.read.csv("wasbs://<container>#<storage-account>.blob.core.windows.net/data/Fraud.csv", header=True, inferSchema=True)
It's throwing the following error:
Py4JJavaError: An error occurred while calling o38.csv.
: java.lang.NoSuchMethodError: org.eclipse.jetty.util.log.Log.getProperties()Ljava/util/Properties;
at org.apache.hadoop.fs.azure.AzureNativeFileSystemStore.createPermissionJsonSerializer(AzureNativeFileSystemStore.java:429)
at org.apache.hadoop.fs.azure.AzureNativeFileSystemStore.<clinit>(AzureNativeFileSystemStore.java:331)
at org.apache.hadoop.fs.azure.NativeAzureFileSystem.createDefaultStore(NativeAzureFileSystem.java:1485)
at org.apache.hadoop.fs.azure.NativeAzureFileSystem.initialize(NativeAzureFileSystem.java:1410)
at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:3469)
at org.apache.hadoop.fs.FileSystem.access$300(FileSystem.java:174)
at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:3574)
at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:3521)
at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:540)
at org.apache.hadoop.fs.Path.getFileSystem(Path.java:365)
at org.apache.spark.sql.execution.streaming.FileStreamSink$.hasMetadata(FileStreamSink.scala:53)
at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:370)
at org.apache.spark.sql.DataFrameReader.loadV1Source(DataFrameReader.scala:274)
at org.apache.spark.sql.DataFrameReader.$anonfun$load$3(DataFrameReader.scala:245)
at scala.Option.getOrElse(Option.scala:189)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:245)
at org.apache.spark.sql.DataFrameReader.csv(DataFrameReader.scala:571)
at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.base/java.lang.reflect.Method.invoke(Method.java:566)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
at py4j.Gateway.invoke(Gateway.java:282)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)
at py4j.ClientServerConnection.run(ClientServerConnection.java:106)
at java.base/java.lang.Thread.run(Thread.java:834)
Tried the following combinations as well:
spark-3.2.1-bin-hadoop3.2 + org.apache.hadoop:hadoop-azure:3.2.0,com.microsoft.azure:azure-storage:8.6.3
spark-3.1.3-bin-hadoop3.2 + org.apache.hadoop:hadoop-azure:3.3.2,com.microsoft.azure:azure-storage:8.6.6
spark-3.1.3-bin-hadoop3.2 + org.apache.hadoop:hadoop-azure:3.2.0,com.microsoft.azure:azure-storage:8.6.3
spark-3.2.1-bin-hadoop3.2 + org.apache.hadoop:hadoop-azure:2.7.7,com.microsoft.azure:azure-storage:8.6.6
but no luck.
I also have the followig two jar files in spark's jar folder:
jetty-util-11.0.8.jar and jetty-util-ajax-11.0.8.jar

Answer 1

Please make sure you have provided Storage Blob Data Contributor role assigned to user.And then Try to re run again.
Df = spark.read.format("csv").load(filePath, inferSchema = True, header = True)
It could be because of multiple versions of jar present in the classpath. And most likely it might have have compiled a class against a different version of the class that is missing a method, than the one you are using when running it.
Please check if you have a mix of versions of Jetty. You'll need to correct that to same version if present.
References:
apache spark - Looping through files in databricks fails - Stack
Overflow
Read csv from Azure blob Storage and store in a dataframe with
python - Stack Overflow