format README.md

README.md

@@ -6,7 +6,7 @@ It is forked from Cloudera's 0.9.3-cdh3u0 distribution (Flume-OG).
 
 Two major enhancements:
 
-1) Masterless ACK (MA)
+1. Masterless ACK (MA)
 ----------------------
 
 This enhancement aims to increase the reliability and throughput of the whole distributed collecting system.
@@ -17,22 +17,24 @@ However, the ACKs are sent back through master, which could be a single-point-of
 Therefore, I re-designed the ACKs system to let the ACK go back via the route of Event.
 
 Main enhancements
-~~~~~~~~~~~~~~~~~
-    a) Distribute ACK traffic to each flume node, ACK goes back to original agent throught the route of event.
-    b) Reuse the connection for event transmission.
-    c) Buffer input/output stream for thrift to improve throughput. https://github.com/yongkun/thrift
+
+..1. Distribute ACK traffic to each flume node, ACK goes back to original agent throught the route of event.
+..2. Reuse the connection for event transmission.
+..3. Buffer input/output stream for thrift to improve throughput. https://github.com/yongkun/thrift
 
 Apache JIRA is here, with some documents https://issues.apache.org/jira/browse/FLUME-640
 This enhancement was supposed to be merged into 0.10 if Flume was not upgraded to NG.
 
-2) Append to HDFS with new file rotation method
+2. Append to HDFS with new file rotation method
 -----------------------------------------------
+
 Use HDFS append() and change the file rotation mechanism to create large HDFS files, which could increase the performance of Map/Reduce program when using these files as input, and reduce the number of block mapping entries in Hadoop NameNode.
 
 
-This modified version has been heavily used inside our company (Rakuten, http://en.wikipedia.org/wiki/Rakuten), with single collector receiving more than 300GB data per day (more than 328 million events per day, peak throughput is about 26K event per second).
+##### This modified version has been heavily used inside our company (Rakuten, http://en.wikipedia.org/wiki/Rakuten), with single collector receiving more than 300GB data per day (more than 328 million events per day, peak throughput is about 26K event per second).
 
 Contact
 yongkun at gmail.com
 
+Repository
 https://github.com/yongkun/flume-0.9.3-cdh3u0-rakuten