Hi,
My pipeline is failing with below error when copying data from Datalake Gen 2 to Synapse dedicated pool.
{ "errorCode": "2200", "message": "ErrorCode=ParquetJavaInvocationException,'Type=Microsoft.DataTransfer.Common.Shared.HybridDeliveryException,Message=An error occurred when invoking java, message: java.io.IOException:O\ntotal entry:15\r\ncom.microsoft.datatransfer.bridge.io.parquet.IoBridge.inputStreamRead(Native Method)\r\ncom.microsoft.datatransfer.bridge.io.parquet.BridgeInputFileStream.fillBuffer(BridgeInputFileStream.java:88)\r\ncom.microsoft.datatransfer.bridge.io.parquet.BridgeInputFileStream.read(BridgeInputFileStream.java:42)\r\njava.io.DataInputStream.read(DataInputStream.java:149)\r\norg.apache.parquet.io.DelegatingSeekableInputStream.readFully(DelegatingSeekableInputStream.java:102)\r\norg.apache.parquet.io.DelegatingSeekableInputStream.readFullyHeapBuffer(DelegatingSeekableInputStream.java:127)\r\norg.apache.parquet.io.DelegatingSeekableInputStream.readFully(DelegatingSeekableInputStream.java:91)\r\norg.apache.parquet.hadoop.ParquetFileReader$ConsecutivePartList.readAll(ParquetFileReader.java:1850)\r\norg.apache.parquet.hadoop.ParquetFileReader.internalReadRowGroup(ParquetFileReader.java:990)\r\norg.apache.parquet.hadoop.ParquetFileReader.readNextRowGroup(ParquetFileReader.java:940)\r\norg.apache.parquet.hadoop.ParquetFileReader.readNextFilteredRowGroup(ParquetFileReader.java:1082)\r\norg.apache.parquet.hadoop.InternalParquetRecordReader.checkRead(InternalParquetRecordReader.java:130)\r\norg.apache.parquet.hadoop.InternalParquetRecordReader.nextKeyValue(InternalParquetRecordReader.java:230)\r\norg.apache.parquet.hadoop.ParquetReader.read(ParquetReader.java:132)\r\ncom.microsoft.datatransfer.bridge.parquet.ParquetBatchReaderBridge.nextBuffer(ParquetBatchReaderBridge.java:168)\r\n.,Source=Microsoft.DataTransfer.Richfile.ParquetTransferPlugin,''Type=Microsoft.DataTransfer.Richfile.JniExt.JavaBridgeException,Message=,Source=Microsoft.DataTransfer.Richfile.HiveOrcBridge,'", "failureType": "UserError",