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| author | Sean Owen <sowen@cloudera.com> | 2016-02-10 13:34:53 -0800 |
|---|---|---|
| committer | Reynold Xin <rxin@databricks.com> | 2016-02-10 13:34:53 -0800 |
| commit | 29c547303f886b96b74b411ac70f0fa81113f086 (patch) | |
| tree | a0696ca78c2fb21e9d480c0704674f1d517e42fd /docs/streaming-programming-guide.md | |
| parent | 5947fa8fa1f95d8fc1537c1e37bc16bae8fe7988 (diff) | |
| download | spark-29c547303f886b96b74b411ac70f0fa81113f086.tar.gz spark-29c547303f886b96b74b411ac70f0fa81113f086.tar.bz2 spark-29c547303f886b96b74b411ac70f0fa81113f086.zip | |
[SPARK-12414][CORE] Remove closure serializer
Remove spark.closure.serializer option and use JavaSerializer always
CC andrewor14 rxin I see there's a discussion in the JIRA but just thought I'd offer this for a look at what the change would be.
Author: Sean Owen <sowen@cloudera.com>
Closes #11150 from srowen/SPARK-12414.
Diffstat (limited to 'docs/streaming-programming-guide.md')
| -rw-r--r-- | docs/streaming-programming-guide.md | 2 |
1 files changed, 0 insertions, 2 deletions
diff --git a/docs/streaming-programming-guide.md b/docs/streaming-programming-guide.md index 7e681b67cf..677f5ff7be 100644 --- a/docs/streaming-programming-guide.md +++ b/docs/streaming-programming-guide.md @@ -2163,8 +2163,6 @@ If the number of tasks launched per second is high (say, 50 or more per second), of sending out tasks to the slaves may be significant and will make it hard to achieve sub-second latencies. The overhead can be reduced by the following changes: -* **Task Serialization**: Using Kryo serialization for serializing tasks can reduce the task sizes, and therefore reduce the time taken to send them to the slaves. This is controlled by the ```spark.closure.serializer``` property. However, at this time, Kryo serialization cannot be enabled for closure serialization. This may be resolved in a future release. - * **Execution mode**: Running Spark in Standalone mode or coarse-grained Mesos mode leads to better task launch times than the fine-grained Mesos mode. Please refer to the [Running on Mesos guide](running-on-mesos.html) for more details. |