yuqi1129 opened a new issue, #8337:
URL: https://github.com/apache/gravitino/issues/8337

   ### Version
   
   main branch
   
   ### Describe what's wrong
   
   When I use PySpark to access S3 with GVFS, the following error occur:
   
   ```
   Traceback (most recent call last):
     File "<stdin>", line 1, in <module>
     File 
"/Users/yuqi/venv-spark-3.1/lib/python3.9/site-packages/pyspark/sql/readwriter.py",
 line 1372, in csv
       self._jwrite.csv(path)
     File 
"/Users/yuqi/venv-spark-3.1/lib/python3.9/site-packages/py4j/java_gateway.py", 
line 1304, in __call__
       return_value = get_return_value(
     File 
"/Users/yuqi/venv-spark-3.1/lib/python3.9/site-packages/pyspark/sql/utils.py", 
line 111, in deco
       return f(*a, **kw)
     File 
"/Users/yuqi/venv-spark-3.1/lib/python3.9/site-packages/py4j/protocol.py", line 
326, in get_return_value
       raise Py4JJavaError(
   py4j.protocol.Py4JJavaError: An error occurred while calling o83.csv.
   : org.apache.gravitino.exceptions.GravitinoRuntimeException: Invalid version 
string
        at 
org.apache.gravitino.client.GravitinoVersion.getVersionNumber(GravitinoVersion.java:53)
        at 
org.apache.gravitino.client.GravitinoVersion.compatibleWithServerVersion(GravitinoVersion.java:65)
        at 
org.apache.gravitino.client.GravitinoClientBase.checkVersion(GravitinoClientBase.java:103)
        at 
org.apache.gravitino.client.HTTPClient.performPreConnectHandler(HTTPClient.java:418)
        at org.apache.gravitino.client.HTTPClient.execute(HTTPClient.java:340)
        at org.apache.gravitino.client.HTTPClient.execute(HTTPClient.java:294)
        at org.apache.gravitino.client.HTTPClient.get(HTTPClient.java:463)
        at org.apache.gravitino.client.RESTClient.get(RESTClient.java:165)
        at 
org.apache.gravitino.client.GravitinoClientBase.loadMetalake(GravitinoClientBase.java:132)
        at 
org.apache.gravitino.client.GravitinoClient.<init>(GravitinoClient.java:105)
        at 
org.apache.gravitino.client.GravitinoClient$ClientBuilder.build(GravitinoClient.java:707)
        at 
org.apache.gravitino.client.GravitinoClient$ClientBuilder.build(GravitinoClient.java:667)
        at 
org.apache.gravitino.filesystem.hadoop.GravitinoVirtualFileSystemUtils.createClient(GravitinoVirtualFileSystemUtils.java:115)
        at 
org.apache.gravitino.filesystem.hadoop.GravitinoVirtualFileSystemUtils.createClient(GravitinoVirtualFileSystemUtils.java:75)
        at 
org.apache.gravitino.filesystem.hadoop.BaseGVFSOperations.<init>(BaseGVFSOperations.java:149)
        at 
org.apache.gravitino.filesystem.hadoop.DefaultGVFSOperations.<init>(DefaultGVFSOperations.java:53)
        at 
java.base/jdk.internal.reflect.NativeConstructorAccessorImpl.newInstance0(Native
 Method)
        at 
java.base/jdk.internal.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:77)
        at 
java.base/jdk.internal.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
        at 
java.base/java.lang.reflect.Constructor.newInstanceWithCaller(Constructor.java:499)
        at 
java.base/java.lang.reflect.Constructor.newInstance(Constructor.java:480)
        at 
org.apache.gravitino.filesystem.hadoop.GravitinoVirtualFileSystem.initialize(GravitinoVirtualFileSystem.java:91)
        at 
org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:3303)
        at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:124)
        at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.
   ```
   
   ### Error message and/or stacktrace
   
   Please see above
   
   <img width="1526" height="974" alt="Image" 
src="https://github.com/user-attachments/assets/d67b72b8-f924-4c17-bba5-e8aeb39d66de";
 />
   
   ### How to reproduce
   
   import logging
   logging.basicConfig(level=logging.INFO)
   
   from gravitino import NameIdentifier, GravitinoClient, Catalog, Fileset, 
GravitinoAdminClient
   
   gravitino_url = "http://localhost:8090";
   metalake_name = "test"
   
   catalog_name = "s3_credential_catalog"
   schema_name = "schema"
   fileset_name = "example_with_dir"
   
   fileset_ident = NameIdentifier.of(schema_name, fileset_name)
   
   gravitino_admin_client = GravitinoAdminClient(uri=gravitino_url)
   gravitino_client = GravitinoClient(uri=gravitino_url, 
metalake_name=metalake_name)
   
   from pyspark.sql import SparkSession
   import os
   
   os.environ["PYSPARK_SUBMIT_ARGS"] = "--jars 
/Users/yuqi/project/gravitino/bundles/aws/build/libs/gravitino-aws-1.0.0-SNAPSHOT.jar,/Users/yuqi/project/gravitino/clients/filesystem-hadoop3-runtime/build/libs/gravitino-filesystem-hadoop3-runtime-1.0.0-SNAPSHOT.jar,/Users/yuqi/Downloads/hadoop-jars/hadoop-aws-3.2.0.jar,/Users/yuqi/.m2/repository/com/amazonaws/aws-java-sdk-bundle/1.11.375/aws-java-sdk-bundle-1.11.375.jar
 --conf 
\"spark.driver.extraJavaOptions=--add-opens=java.base/sun.nio.ch=ALL-UNNAMED 
-agentlib:jdwp=transport=dt_socket,server=y,suspend=n,address=5005\" --conf 
\"spark.executor.extraJavaOptions=--add-opens=java.base/sun.nio.ch=ALL-UNNAMED 
-agentlib:jdwp=transport=dt_socket,server=y,suspend=y,address=5005\" --master 
local[1] pyspark-shell"
   
   spark = SparkSession.builder \
       .appName("s3_fielset_test") \
       .config("spark.hadoop.fs.AbstractFileSystem.gvfs.impl", 
"org.apache.gravitino.filesystem.hadoop.Gvfs") \
       .config("spark.hadoop.fs.gvfs.impl", 
"org.apache.gravitino.filesystem.hadoop.GravitinoVirtualFileSystem") \
       .config("spark.hadoop.fs.gravitino.server.uri", "http://localhost:8090";) 
\
       .config("spark.hadoop.fs.gravitino.client.metalake", "test") \
       .config("spark.hadoop.s3-access-key-id", os.environ["S3_ACCESS_KEY_ID"]) 
\
       .config("spark.hadoop.s3-secret-access-key", 
os.environ["S3_SECRET_ACCESS_KEY"]) \
       .config("spark.hadoop.s3-endpoint", 
"http://s3.ap-northeast-1.amazonaws.com";) \
       .config("spark.driver.memory", "2g") \
       .config("spark.driver.port", "2048") \
       .getOrCreate()
   
   spark.sparkContext.setLogLevel("DEBUG")    
   
   data = [("Alice", 25), ("Bob", 30), ("Cathy", 45)]
   columns = ["Name", "Age"]
   spark_df = spark.createDataFrame(data, schema=columns)
   gvfs_path = 
f"gvfs://fileset/{catalog_name}/{schema_name}/{fileset_name}/people"
   
   spark_df.coalesce(1).write \
       .mode("overwrite") \
       .option("header", "true") \
       .csv(gvfs_path)     
   
   ### Additional context
   
   _No response_


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