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author | Sean Owen <sowen@cloudera.com> | 2015-01-25 15:11:57 -0800 |
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committer | Andrew Or <andrew@databricks.com> | 2015-01-25 15:11:57 -0800 |
commit | 383425ab70aef4d4961f60309309ba5cb663db5f (patch) | |
tree | c834fad0232e6923906205e1f8d7ff83b4eb8ff5 | |
parent | c586b45dd25b50be7f195df2ce91b307e1ed71a9 (diff) | |
download | spark-383425ab70aef4d4961f60309309ba5cb663db5f.tar.gz spark-383425ab70aef4d4961f60309309ba5cb663db5f.tar.bz2 spark-383425ab70aef4d4961f60309309ba5cb663db5f.zip |
SPARK-3782 [CORE] Direct use of log4j in AkkaUtils interferes with certain logging configurations
Although the underlying issue can I think be solved by having user code use slf4j 1.7.6+, it might be helpful and consistent to update Spark's slf4j too. I see no reason to believe it would be incompatible with other 1.7.x releases: http://www.slf4j.org/news.html Lots of different version of slf4j are in use in the wild and anecdotally I have never seen an issue mixing them.
Author: Sean Owen <sowen@cloudera.com>
Closes #4184 from srowen/SPARK-3782 and squashes the following commits:
5608d28 [Sean Owen] Update slf4j to 1.7.10
-rw-r--r-- | pom.xml | 2 |
1 files changed, 1 insertions, 1 deletions
@@ -117,7 +117,7 @@ <scala.macros.version>2.0.1</scala.macros.version> <mesos.version>0.21.0</mesos.version> <mesos.classifier>shaded-protobuf</mesos.classifier> - <slf4j.version>1.7.5</slf4j.version> + <slf4j.version>1.7.10</slf4j.version> <log4j.version>1.2.17</log4j.version> <hadoop.version>1.0.4</hadoop.version> <protobuf.version>2.4.1</protobuf.version> |