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authorDaoyuan Wang <daoyuan.wang@intel.com>2015-06-08 01:07:50 -0700
committerReynold Xin <rxin@databricks.com>2015-06-08 01:07:50 -0700
commit10fc2f6f51819f263eec941bdc1db22c554f9118 (patch)
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parent72ba0fc4fd441f4bf25f19bed59ba0a39dd04b65 (diff)
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[SPARK-4761] [DOC] [SQL] kryo default setting in SQL Thrift server
this is a follow up of #3621 /cc liancheng pwendell Author: Daoyuan Wang <daoyuan.wang@intel.com> Closes #6639 from adrian-wang/kryodoc and squashes the following commits: 3c4b1cf [Daoyuan Wang] [DOC] kryo default setting in SQL Thrift server
Diffstat (limited to 'docs/configuration.md')
-rw-r--r--docs/configuration.md7
1 files changed, 5 insertions, 2 deletions
diff --git a/docs/configuration.md b/docs/configuration.md
index 9667cebe0b..3960e7e78b 100644
--- a/docs/configuration.md
+++ b/docs/configuration.md
@@ -618,7 +618,7 @@ Apart from these, the following properties are also available, and may be useful
</tr>
<tr>
<td><code>spark.kryo.referenceTracking</code></td>
- <td>true</td>
+ <td>true (false when using Spark SQL Thrift Server)</td>
<td>
Whether to track references to the same object when serializing data with Kryo, which is
necessary if your object graphs have loops and useful for efficiency if they contain multiple
@@ -679,7 +679,10 @@ Apart from these, the following properties are also available, and may be useful
</tr>
<tr>
<td><code>spark.serializer</code></td>
- <td>org.apache.spark.serializer.<br />JavaSerializer</td>
+ <td>
+ org.apache.spark.serializer.<br />JavaSerializer (org.apache.spark.serializer.<br />
+ KryoSerializer when using Spark SQL Thrift Server)
+ </td>
<td>
Class to use for serializing objects that will be sent over the network or need to be cached
in serialized form. The default of Java serialization works with any Serializable Java object