Added some readme and comments

1 files changed, 34 insertions, 1 deletions

diff --git a/README.md b/README.md
index 12c55ea..65a03e5 100644
--- a/README.md
+++ b/README.md
@@ -227,5 +227,38 @@ Add the trait to the job class and start using the conversions in the pipe direc
 	          useSalt = true ))
 	} 
 
-
+5. Raw HBase Tap and Source
+===========================
+HBaseRawSource is an alternative HBase source implementation that provides two main features:
+1. Ability to provide a custom scan object.
+2. Passing the row object to the mapper to allow full customized processing (without the need to declare in advance the read columns).
+
+**Passing a scan object**
+HBaseRawSource object provides a helper function to encode a scan object as a base64 string, which you can pass to the source.
+e.g.
+	val scan = new Scan
+	val key = "my_key_prefix"
+	scan.setStartRow(Bytes.toBytes(key))
+	scan.setFilter(new PrefixFilter(Bytes.toBytes(key)))
+	val scanner = HBaseRawSource.convertScanToString(scan)
+	val hbaseSource = new HBaseRawSource("MY-TABLE", "hbase-local", Array("col-family"), base64Scan = scanner)
+
+**Processing the rows**
+The mapper function gets from HBaseRawSource a tuple containing two fields: (rowkey, row). 
+The first field is the row key, the second is the row Result object. You can then process the row as needed. 
+The sink will write the output fields as columns under the provided family and field name as the column name. 
+You can also provide the field name as a full qualifier (family:column) to specify a different family than was declared in the source.
+e.g.
+	val hbaseOut = new HBaseRawSource("MY_RESULTS", "hbase-local", Array("out-family"), writeNulls=false, sinkMode = SinkMode.REPLACE)
+	hbaseSource.read
+		.mapTo(('rowkey, 'row) -> ('rowkey, "different_family:col1", 'col2)) {
+			x: (ImmutableBytesWritable, Result) =>
+				{
+					val (rowkey, row) = x
+					val col1Times2 = Bytes.toInt(row.getValue(Bytes.toBytes("col-family"), Bytes.toBytes("col1"))) * 2;
+					val col2 = row.getValue(Bytes.toBytes("col-family"), Bytes.toBytes("col2"));
+					(rowkey, col1Times2, col2)
+				}
+		}
+		.write(out)