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authorHenning Baldersheim <balder@yahoo-inc.com>2019-10-31 17:29:11 +0000
committerHenning Baldersheim <balder@yahoo-inc.com>2019-11-16 20:54:08 +0000
commitc11bd88ab54edd6e2c370ed7e82094707de19726 (patch)
treec18fae6b73be3dafd32cc7480cdd6b6aef0dab9c /fbench/README
parentb24dd074584ad83a547a81b95e19d49261d7b849 (diff)
Now fdispatch reliques can go
Diffstat (limited to 'fbench/README')
-rw-r--r--fbench/README21
1 files changed, 2 insertions, 19 deletions
diff --git a/fbench/README b/fbench/README
index 5d9ee714a32..8d217ad0dc5 100644
--- a/fbench/README
+++ b/fbench/README
@@ -127,23 +127,7 @@ mark optional parameters and default values):
| <port> : the port to use when contacting the host.
The only mandatory parameters are the hostname and the port of the
-server you want to benchmark. If you are measuring server performance,
-you should ensure that the caches are cleared between each run. This
-may be done either by stopping and starting fsearch and fdispatch or
-by using the geturl program to fetch '/admin?command=clear_caches'
-from the http port on each fsearch and fdispatch (this requires that
-you are running from a host that is known as privileged by the
-fastserver nodes or that fastserver was compiled to accept all hosts
-as privileged).
-
-| usage: geturl <host> <port> <url>
-
-You may clear the caches by doing:
-
-$ bin/geturl <host> <port> "/admin?command=clear_caches"
-
-This must be done for each fsearch and fdispatch http port to clear
-all caches.
+server you want to benchmark.
Example: You want to test just how well fastserver does under massive
preassure by letting 200 clients search continuously as fast as they
@@ -318,8 +302,7 @@ on. (vespa-fbench is run as 'bin/vespa-fbench' etc.).
Example: You want to see how well fastserver performs with varying
client count and cycle time. Assume that you have already prepared 200
-query files and that you have edited the 'pretest.sh' script to make
-it clear all fsearch and fdispatch caches. To test with client count
+query files. To test with client count
from 10 to 200 with intervals of 10 clients and cycle time from 0 to
5000 milliseconds with 500 ms intervals you may do the following: