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Posted to commits@logging.apache.org by rg...@apache.org on 2016/04/26 07:48:46 UTC
[36/38] logging-log4j2 git commit: LOG4J2-1297 minor edits
LOG4J2-1297 minor edits
Project: http://git-wip-us.apache.org/repos/asf/logging-log4j2/repo
Commit: http://git-wip-us.apache.org/repos/asf/logging-log4j2/commit/fdaefaa5
Tree: http://git-wip-us.apache.org/repos/asf/logging-log4j2/tree/fdaefaa5
Diff: http://git-wip-us.apache.org/repos/asf/logging-log4j2/diff/fdaefaa5
Branch: refs/heads/master
Commit: fdaefaa50b81ab3fb0fff487c381f1afab799fda
Parents: 26d87c3
Author: rpopma <rp...@apache.org>
Authored: Mon Apr 25 23:51:45 2016 +0900
Committer: Ralph Goers <rg...@nextiva.com>
Committed: Mon Apr 25 21:30:31 2016 -0700
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src/site/xdoc/manual/garbagefree.xml | 4 ++--
1 file changed, 2 insertions(+), 2 deletions(-)
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http://git-wip-us.apache.org/repos/asf/logging-log4j2/blob/fdaefaa5/src/site/xdoc/manual/garbagefree.xml
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diff --git a/src/site/xdoc/manual/garbagefree.xml b/src/site/xdoc/manual/garbagefree.xml
index 6222a45..c6cf8ca 100644
--- a/src/site/xdoc/manual/garbagefree.xml
+++ b/src/site/xdoc/manual/garbagefree.xml
@@ -361,8 +361,8 @@ public void garbageFree() {
<h4>Throughput of Garbage-free Logging May Be Worse (But It's All Relative)</h4>
<p>In our measurements, Log4j 2.6 in garbage-free mode had the highest throughput in single-threaded scenarios. In multi-threaded
scenarios, Log4j 2.6 "classic" had the highest throughput, with Log4j 2.6 in garbage-free mode and Log4j 2.5
- not far behind. Our test results suggest that the throughput of all other logging frameworks rapidly
- declines in multi-threaded applications.</p>
+ not far behind. Our test results suggest that the throughput of the other logging frameworks we tested
+ will rapidly decline in multi-threaded applications.</p>
<p>The graph below compares Log4j 2.6 in garbage-free mode to Log4j 2.6 "classic" mode (which allocates
temporary objects for every logging call), Log4j 2.5, Log4j 1.2.17, Logback 1.1.7 and
Java util logging (JUL) on Oracle Java 1.8.0_45. All Log4j 2.x results use the RandomAccessFile appender.