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| -rw-r--r-- | docs/programming-guide.md | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/docs/programming-guide.md b/docs/programming-guide.md index c60de6e970..7a16ee8742 100644 --- a/docs/programming-guide.md +++ b/docs/programming-guide.md @@ -1177,7 +1177,7 @@ Accumulators are variables that are only "added" to through an associative opera therefore be efficiently supported in parallel. They can be used to implement counters (as in MapReduce) or sums. Spark natively supports accumulators of numeric types, and programmers can add support for new types. If accumulators are created with a name, they will be -displayed in Spark's UI. This can can be useful for understanding the progress of +displayed in Spark's UI. This can be useful for understanding the progress of running stages (NOTE: this is not yet supported in Python). An accumulator is created from an initial value `v` by calling `SparkContext.accumulator(v)`. Tasks |