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authorTathagata Das <tathagata.das1565@gmail.com>2013-02-18 13:26:12 -0800
committerTathagata Das <tathagata.das1565@gmail.com>2013-02-18 13:26:12 -0800
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Merge branch 'streaming' into ScrapCode-streaming
Conflicts: streaming/src/main/scala/spark/streaming/dstream/KafkaInputDStream.scala streaming/src/main/scala/spark/streaming/dstream/NetworkInputDStream.scala
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@@ -301,7 +301,8 @@ We recommend going through the following process to select one:
* Use the replicated storage levels if you want fast fault recovery (e.g. if using Spark to serve requests from a web
application). *All* the storage levels provide full fault tolerance by recomputing lost data, but the replicated ones
let you continue running tasks on the RDD without waiting to recompute a lost partition.
-
+
+If you want to define your own storage level (say, with replication factor of 3 instead of 2), then use the function factor method `apply()` of the [`StorageLevel`](api/core/index.html#spark.storage.StorageLevel$) singleton object.
# Shared Variables