Read parquet data from ByteArrayOutputStream instead of file

问题

I would like to convert this code:

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.parquet.column.page.PageReadStore;
import org.apache.parquet.example.data.simple.SimpleGroup;
import org.apache.parquet.example.data.simple.convert.GroupRecordConverter;
import org.apache.parquet.hadoop.ParquetFileReader;
import org.apache.parquet.hadoop.util.HadoopInputFile;
import org.apache.parquet.io.ColumnIOFactory;
import org.apache.parquet.io.MessageColumnIO;
import org.apache.parquet.io.RecordReader;
import org.apache.parquet.schema.MessageType;

import java.io.IOException;
import java.util.ArrayList;
import java.util.List;


public class ParquetReaderUtils {

    public static Parquet getParquetData(String filePath) throws IOException {
        List<SimpleGroup> simpleGroups = new ArrayList<>();
        ParquetFileReader reader = ParquetFileReader.open(HadoopInputFile.fromPath(new Path(filePath), new Configuration()));
        MessageType schema = reader.getFooter().getFileMetaData().getSchema();
        //List<Type> fields = schema.getFields();
        PageReadStore pages;
        while ((pages = reader.readNextRowGroup()) != null) {
            long rows = pages.getRowCount();
            MessageColumnIO columnIO = new ColumnIOFactory().getColumnIO(schema);
            RecordReader recordReader = columnIO.getRecordReader(pages, new GroupRecordConverter(schema));

            for (int i = 0; i < rows; i++) {
                SimpleGroup simpleGroup = (SimpleGroup) recordReader.read();
                simpleGroups.add(simpleGroup);
            }
        }
        reader.close();
        return new Parquet(simpleGroups, schema);
    }
}

(which is from https://www.arm64.ca/post/reading-parquet-files-java/)

to take a ByteArrayOutputStream parameter instead of a filePath.

Is this possible? I don't see a ParquetStreamReader in org.apache.parquet.hadoop.

Any help is appreciated. I am trying to write a test app for parquet coming from kafka and writing each of many messages out to a file is rather slow.

回答1:

So without deeper testing, I would try with this class (albeit the content of the outputstream should be parquet-compatible). I put there a streamId to make the identification of the processed bytearray easier (the ParquetFileReader prints the instance.toString() out if something went wrong).

import java.io.ByteArrayInputStream;
import java.io.ByteArrayOutputStream;
import java.io.IOException;

import org.apache.parquet.io.DelegatingSeekableInputStream;
import org.apache.parquet.io.InputFile;
import org.apache.parquet.io.SeekableInputStream;

public class ParquetStream implements InputFile
{
  private final String streamId;
  private final byte[] data;

  public class SeekableByteArrayInputStream extends ByteArrayInputStream
  {
     public SeekableByteArrayInputStream(byte[] buf)
     {
        super(buf);
     }

     public void setPos(int pos)
     {
        this.pos = pos;
     }

     public int getPos()
     {
        return this.pos;
     }
 }

public ParquetStream(String streamId, ByteArrayOutputStream stream)
{
    this.streamId = streamId;
    this.data = stream.toByteArray();
}

@Override
public long getLength() throws IOException
{
    return this.data.length;
}

@Override
public SeekableInputStream newStream() throws IOException
{
    return new DelegatingSeekableInputStream(new SeekableByteArrayInputStream(this.data))
    {

        @Override
        public void seek(long newPos) throws IOException
        {
            ((SeekableByteArrayInputStream) this.getStream()).setPos(new Long(newPos).intValue());
        }

        @Override
        public long getPos() throws IOException
        {
            return new Integer(((SeekableByteArrayInputStream) this.getStream()).getPos()).longValue();
        }
    };
}

@Override
public String toString()
{
    return new StringBuilder("ParquetStream[").append(streamId).append("]").toString();
}

}

来源：https://stackoverflow.com/questions/58141248/read-parquet-data-from-bytearrayoutputstream-instead-of-file

标签

java

parquet

bytearrayoutputstream