more readme updates and info

README.textile

@@ -8,7 +8,9 @@ bashreduce lets you apply your favorite unix tools in a mapreduce fashion across
 
 h2. Configuration
 
-If you wish, you may edit @/etc/br.hosts@ and enter the machines you wish to use as workers.  You can also specify this at runtime using @br -m "host1 host2 host3..."@
+If you wish, you may edit @/etc/br.hosts@ and enter the machines you wish to use as workers.  You can also specify this at runtime:
+
+<pre>br -m "host1 host2 host3"</pre>
 
 To take advantage of multiple cores, repeat the host name as many times as you wish.
 
@@ -24,4 +26,18 @@ h3. word count
 
 h3. count words that begin with 'b'
 
-<pre>br -r "grep ^b | uniq -c" < input > output</pre>
+<pre>br -r "grep ^b | uniq -c" < input > output</pre>
+
+h2. Performance
+
+Completely spurious numbers, all this shows you is how useful br is to *me*   :-)
+
+I have four compute machines and I'm usually relegated to using one core on one machine to sort.  How about when I use br?
+
+|_. command |_. time |_. mb/s |
+| sort -k1,1 4gb_file > 4gb_file_sorted | 82m54.746s | 843 kBps |
+| br -i 4gb_file -o 4gb_file_sorted | 9m49s | 6.95 MBps |
+
+When I have more time I'll compare this apples to apples.  There's also still a ton of room for improvement.
+
+I'm also interested in seeing how bashreduce compares to hadoop.  Of course it won't win... but how close does it come?