GitHub user davies opened a pull request:
https://github.com/apache/spark/pull/2095
[SPARK-2871] [PySpark] add approx API for RDD
RDD.countApprox(self, timeout, confidence=0.95)
:: Experimental ::
Approximate version of count() that returns a potentially incomplete
result within a timeout, even if not all tasks have finished.
>>> rdd = sc.parallelize(range(1000), 10)
>>> rdd.countApprox(1000, 1.0)
1000
RDD.sumApprox(self, timeout, confidence=0.95)
Approximate operation to return the sum within a timeout
or meet the confidence.
>>> rdd = sc.parallelize(range(1000), 10)
>>> r = sum(xrange(1000))
>>> (rdd.sumApprox(1000) - r) / r < 0.05
RDD.meanApprox(self, timeout, confidence=0.95)
:: Experimental ::
Approximate operation to return the mean within a timeout
or meet the confidence.
>>> rdd = sc.parallelize(range(1000), 10)
>>> r = sum(xrange(1000)) / 1000.0
>>> (rdd.meanApprox(1000) - r) / r < 0.05
True
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/davies/spark approx
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/2095.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #2095
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commit e8c252b5e816749ebd428875206a17875341e134
Author: Davies Liu <[email protected]>
Date: 2014-08-22T05:12:20Z
add approx API for RDD
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