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author | Mark Hamstra <markhamstra@gmail.com> | 2013-02-08 18:26:00 -0800 |
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committer | Mark Hamstra <markhamstra@gmail.com> | 2013-02-08 18:26:00 -0800 |
commit | b8863a79d3ce200e91c01f2e37b1e55d4c6187cc (patch) | |
tree | 91fee20be78f700102e1a432c0b3d3475ee3e0f9 /docs/scala-programming-guide.md | |
parent | 934a53c8b677df524315a75011b4c9396eb4b54e (diff) | |
parent | b53174a6f3acca1b2a1fb95eb9779f737c802f68 (diff) | |
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Merge branch 'master' of https://github.com/mesos/spark into commutative
Conflicts:
core/src/main/scala/spark/RDD.scala
Diffstat (limited to 'docs/scala-programming-guide.md')
-rw-r--r-- | docs/scala-programming-guide.md | 3 |
1 files changed, 2 insertions, 1 deletions
diff --git a/docs/scala-programming-guide.md b/docs/scala-programming-guide.md index 95de4f50bb..b98718a553 100644 --- a/docs/scala-programming-guide.md +++ b/docs/scala-programming-guide.md @@ -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 |