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From brandonwilli...@apache.org
Subject [2/6] git commit: Update yaml comment about rpc_max_threads with HSHA
Date Thu, 16 Oct 2014 16:58:08 GMT
Update yaml comment about rpc_max_threads with HSHA

Patch by Mike Adamson, reviewed by brandonwilliams for CASSANDRA-8116


Project: http://git-wip-us.apache.org/repos/asf/cassandra/repo
Commit: http://git-wip-us.apache.org/repos/asf/cassandra/commit/e9388398
Tree: http://git-wip-us.apache.org/repos/asf/cassandra/tree/e9388398
Diff: http://git-wip-us.apache.org/repos/asf/cassandra/diff/e9388398

Branch: refs/heads/cassandra-2.1
Commit: e93883988f111a891cd772d918f4229eb9e438bd
Parents: 1bd6960
Author: Brandon Williams <brandonwilliams@apache.org>
Authored: Thu Oct 16 11:57:08 2014 -0500
Committer: Brandon Williams <brandonwilliams@apache.org>
Committed: Thu Oct 16 11:57:08 2014 -0500

----------------------------------------------------------------------
 conf/cassandra.yaml | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)
----------------------------------------------------------------------


http://git-wip-us.apache.org/repos/asf/cassandra/blob/e9388398/conf/cassandra.yaml
----------------------------------------------------------------------
diff --git a/conf/cassandra.yaml b/conf/cassandra.yaml
index c8064d1..5eaffc2 100644
--- a/conf/cassandra.yaml
+++ b/conf/cassandra.yaml
@@ -350,7 +350,8 @@ rpc_keepalive: true
 # hsha  -> Stands for "half synchronous, half asynchronous." All thrift clients are handled
 #          asynchronously using a small number of threads that does not vary with the amount
 #          of thrift clients (and thus scales well to many clients). The rpc requests are
still
-#          synchronous (one thread per active request).
+#          synchronous (one thread per active request). If hsha is selected then it is essential
+#          that rpc_max_threads is changed from the default value of unlimited.
 #
 # The default is sync because on Windows hsha is about 30% slower.  On Linux,
 # sync/hsha performance is about the same, with hsha of course using less memory.


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