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authorHossein Falaki <falaki@gmail.com>2013-10-17 23:05:22 -0700
committerHossein Falaki <falaki@gmail.com>2013-10-17 23:05:22 -0700
commitb611d9a65c0eda8ca7ceb015773ea4a4e26f2640 (patch)
treea830865b2550285f770e6880207f9c7bd5863d89 /core
parent654d60b6ee65d27545773d3cec9b0ed6ed20ff3a (diff)
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Fixed document typo
Diffstat (limited to 'core')
-rw-r--r--core/src/main/scala/org/apache/spark/rdd/PairRDDFunctions.scala6
-rw-r--r--core/src/main/scala/org/apache/spark/rdd/RDD.scala2
2 files changed, 4 insertions, 4 deletions
diff --git a/core/src/main/scala/org/apache/spark/rdd/PairRDDFunctions.scala b/core/src/main/scala/org/apache/spark/rdd/PairRDDFunctions.scala
index f34593f0b6..d778692f45 100644
--- a/core/src/main/scala/org/apache/spark/rdd/PairRDDFunctions.scala
+++ b/core/src/main/scala/org/apache/spark/rdd/PairRDDFunctions.scala
@@ -211,7 +211,7 @@ class PairRDDFunctions[K: ClassManifest, V: ClassManifest](self: RDD[(K, V)])
/**
* Return approximate number of distinct values for each key in this RDD.
- * The accuracy of approximation can be controlled through the relative standard diviation
+ * The accuracy of approximation can be controlled through the relative standard deviation
* (relativeSD) parameter, which also controls the amount of memory used. Lower values result in
* more accurate counts but increase the memory footprint and vise versa. Uses the provided
* Partitioner to partition the output RDD.
@@ -235,7 +235,7 @@ class PairRDDFunctions[K: ClassManifest, V: ClassManifest](self: RDD[(K, V)])
/**
* Return approximate number of distinct values for each key in this RDD.
- * The accuracy of approximation can be controlled through the relative standard diviation
+ * The accuracy of approximation can be controlled through the relative standard deviation
* (relativeSD) parameter, which also controls the amount of memory used. Lower values result in
* more accurate counts but increase the memory footprint and vise versa. HashPartitions the
* output RDD into numPartitions.
@@ -247,7 +247,7 @@ class PairRDDFunctions[K: ClassManifest, V: ClassManifest](self: RDD[(K, V)])
/**
* Return approximate number of distinct values for each key this RDD.
- * The accuracy of approximation can be controlled through the relative standard diviation
+ * The accuracy of approximation can be controlled through the relative standard deviation
* (relativeSD) parameter, which also controls the amount of memory used. Lower values result in
* more accurate counts but increase the memory footprint and vise versa. The default value of
* relativeSD is 0.05. Hash-partitions the output RDD using the existing partitioner/parallelism
diff --git a/core/src/main/scala/org/apache/spark/rdd/RDD.scala b/core/src/main/scala/org/apache/spark/rdd/RDD.scala
index 09932db5ea..38fa96fd6d 100644
--- a/core/src/main/scala/org/apache/spark/rdd/RDD.scala
+++ b/core/src/main/scala/org/apache/spark/rdd/RDD.scala
@@ -769,7 +769,7 @@ abstract class RDD[T: ClassManifest](
/**
* Return approximate number of distinct elements in the RDD.
*
- * The accuracy of approximation can be controlled through the relative standard diviation
+ * The accuracy of approximation can be controlled through the relative standard deviation
* (relativeSD) parameter, which also controls the amount of memory used. Lower values result in
* more accurate counts but increase the memory footprint and vise versa. The default value of
* relativeSD is 0.05.