阿里云E-MapReduce中在spark里使用jingdo访问oss， 是啥原因？

阿里云E-MapReduce中在spark里使用jingdo访问oss， 出现400 请求错误， 是啥原因？ spark-3.4.2, jindosdk-6.3.0. 谢谢。是版本问题么？
24/02/20 13:40:57 INFO SQLHadoopMapReduceCommitProtocol: Using output committer class org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter
24/02/20 13:40:57 INFO FsStats: cmd=mkdir, src=oss://dataplatform/hudi_test10/_temporary/0, dst=null, size=0, parameter=null, time-in-ms=21, version=6.3.0
Traceback (most recent call last):
File "/data/software/src/cluster_test.py", line 85, in
df.write.format("csv").mode("append").save(basePath)
File "/data/software/spark-3.4.2-bin-hadoop3/python/lib/pyspark.zip/pyspark/sql/readwriter.py", line 1398, in save
File "/data/software/spark-3.4.2-bin-hadoop3/python/lib/py4j-0.10.9.7-src.zip/py4j/java_gateway.py", line 1323, in call
File "/data/software/spark-3.4.2-bin-hadoop3/python/lib/pyspark.zip/pyspark/errors/exceptions/captured.py", line 169, in deco
File "/data/software/spark-3.4.2-bin-hadoop3/python/lib/py4j-0.10.9.7-src.zip/py4j/protocol.py", line 328, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling o58.save.
: java.io.IOException: ErrorCode : 6400, ErrorMessage : [RequestId]: 65D43B698EC94332378FC136 [HostId]: ... [ErrorMessage]: [E1010]HTTP/1.1 400 Bad Request: <?xml version="1.0" encoding="UTF-8"?> BadRequest Your browser sent a request that this server could not understand. 65D43B698EC94332378FC136 localhost [ErrorCode]: 1010 [RequestId]: 65D43B698EC94332378FC136
at com.aliyun.jindodata.call.JindoMkdirCall.execute(JindoMkdirCall.java:57)
at com.aliyun.jindodata.common.JindoHadoopSystem.mkdirs(JindoHadoopSystem.java:700)
at org.apache.hadoop.fs.FileSystem.mkdirs(FileSystem.java:2388)
at org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter.setupJob(FileOutputCommitter.java:356)
at org.apache.spark.internal.io.HadoopMapReduceCommitProtocol.setupJob(HadoopMapReduceCommitProtocol.scala:188)
at org.apache.spark.sql.execution.datasources.FileFormatWriter$.writeAndCommit(FileFormatWriter.scala:269)
at org.apache.spark.sql.execution.datasources.FileFormatWriter$.executeWrite(FileFormatWriter.scala:304)
at org.apache.spark.sql.execution.datasources.FileFormatWriter$.write(FileFormatWriter.scala:190)
at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand.run(InsertIntoHadoopFsRelationCommand.scala:190)
at org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult$lzycompute(commands.scala:113)
at org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult(commands.scala:111)
at org.apache.spark.sql.execution.command.DataWritingCommandExec.executeCollect(commands.scala:125)
at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.$anonfun$applyOrElse$1(QueryExecution.scala:98)