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authorSean Owen <sowen@cloudera.com>2015-01-25 15:11:57 -0800
committerAndrew Or <andrew@databricks.com>2015-01-25 15:11:57 -0800
commit383425ab70aef4d4961f60309309ba5cb663db5f (patch)
treec834fad0232e6923906205e1f8d7ff83b4eb8ff5 /pom.xml
parentc586b45dd25b50be7f195df2ce91b307e1ed71a9 (diff)
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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
Diffstat (limited to 'pom.xml')
-rw-r--r--pom.xml2
1 files changed, 1 insertions, 1 deletions
diff --git a/pom.xml b/pom.xml
index b993391b15..05cb3797fc 100644
--- a/pom.xml
+++ b/pom.xml
@@ -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>