pyspark.RDD.reduceByKeyLocally¶
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RDD.reduceByKeyLocally(func: Callable[[V, V], V]) → Dict[K, V][source]¶ Merge the values for each key using an associative and commutative reduce function, but return the results immediately to the master as a dictionary.
This will also perform the merging locally on each mapper before sending results to a reducer, similarly to a “combiner” in MapReduce.
New in version 0.7.0.
- Parameters
- funcfunction
the reduce function
- Returns
- dict
a dict containing the keys and the aggregated result for each key
See also
Examples
>>> from operator import add >>> rdd = sc.parallelize([("a", 1), ("b", 1), ("a", 1)]) >>> sorted(rdd.reduceByKeyLocally(add).items()) [('a', 2), ('b', 1)]