Repository: accumulo Updated Branches: refs/heads/1.5.2-SNAPSHOT b664f51d8 -> edfc56bc1 refs/heads/1.6.1-SNAPSHOT 8b2f2dce8 -> dda7a605a refs/heads/master 668c9e3a8 -> 1392992bd
ACCUMULO-2253 Add quartiles to scalability test results Signed-off-by: Mike Drob <md...@cloudera.com> Project: http://git-wip-us.apache.org/repos/asf/accumulo/repo Commit: http://git-wip-us.apache.org/repos/asf/accumulo/commit/edfc56bc Tree: http://git-wip-us.apache.org/repos/asf/accumulo/tree/edfc56bc Diff: http://git-wip-us.apache.org/repos/asf/accumulo/diff/edfc56bc Branch: refs/heads/1.5.2-SNAPSHOT Commit: edfc56bc146914c6ffc0dc01509498fe58a1fce7 Parents: b664f51 Author: Vikram Srivastava <vikr...@cloudera.com> Authored: Wed Jan 29 09:28:10 2014 -0800 Committer: Mike Drob <md...@cloudera.com> Committed: Fri Jun 13 11:27:55 2014 -0400 ---------------------------------------------------------------------- test/system/scalability/run.py | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) ---------------------------------------------------------------------- http://git-wip-us.apache.org/repos/asf/accumulo/blob/edfc56bc/test/system/scalability/run.py ---------------------------------------------------------------------- diff --git a/test/system/scalability/run.py b/test/system/scalability/run.py index df86545..5544234 100755 --- a/test/system/scalability/run.py +++ b/test/system/scalability/run.py @@ -140,10 +140,13 @@ def runTest(testName, siteConfig, testDir, numNodes, fdata): avg = (float(totalMs) / numClients) / 1000 median = times[int(numClients/2)] / 1000 max = times[numClients-1] / 1000 + q1 = times[int(numClients/4)] / 1000 + q3 = times[int((3*numClients)/4)] / 1000 - log('Tservs\tClients\tMin\tAvg\tMed\tMax\tEntries\tMB') - log('%d\t%d\t%d\t%d\t%d\t%d\t%dM\t%d' % (numNodes, numClients, min, avg, median, max, totalEntries / 1000000, totalBytes / 1000000)) - fdata.write('%d\t%d\t%d\t%d\t%d\t%d\t%dM\t%d\n' % (numNodes, numClients, min, avg, median, max, totalEntries / 1000000, totalBytes / 1000000)) + log('Tservs\tClients\tMin\tQ1\tAvg\tMed\tQ3\tMax\tEntries\tMB') + resultStr = '%d\t%d\t%d\t%d\t%d\t%d\t%d\t%d\t%dM\t%d' % (numNodes, numClients, min, q1, avg, median, q3, max, totalEntries / 1000000, totalBytes / 1000000) + log(resultStr) + fdata.write(resultStr + '\n') fdata.flush() time.sleep(5)
