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[SPARK-4656][Doc] Typo in Programming Guide markdown #3412

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[SPARK-4656][Doc] Typo in Programming Guide markdown #3412

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2 changes: 1 addition & 1 deletion docs/programming-guide.md
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Expand Up @@ -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
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