Is mapper called per row when used with Cassandra

[murat migdisoglu]

Hi,

I'm quite new in Hadoop and trying to understand how the task split works
when used with Cassandra ColumnFamilyInputFormat.

I have a very basic scenario: Cassandra has the sessionId and a bson data
that contains the username. I want to go through all rows and dump the row
to a file when the username is matching to a certain criteria. And I do not
need any Reducer or Combiner for now.

After I've written the following very simple hadoop job, I see from the
logs that my mapper function is called per each row.  Is that normal? If
that is the case, doing such a search operation in a big dataset would take
hours if not days...

I guess i need a better understanding on how splitting the job into tasks
works exactly..


    @Override
    public void map(ByteBuffer key, SortedMap<ByteBuffer, IColumn> columns,
Context context)
    throws IOException, InterruptedException
    {
        String rowkey = ByteBufferUtil.string(key);
        String ip = context.getConfiguration().get(IP);
        IColumn column = columns.get(sourceColumn);
        if (column == null)
            return;
        ByteBuffer byteBuffer = column.value();
        ByteBuffer bb2 = byteBuffer.duplicate();

        DataConvertor convertor= fromBson(byteBuffer,
DataConvertor.class);
        String username= convertor.getUsername();
        BytesWritable value = new BytesWritable();
        if (username != null && username.equals(cip)) {
            byte[] arr = convertToByteArray(bb2);
            value.set(new BytesWritable(arr));
            Text tkey = new Text(rowkey);
            context.write( tkey, value);
        } else {
            log.info("ip not match [" + ip + "]");
        }
    }

Thanks in advance
Kind Regards