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author | Matei Zaharia <matei@eecs.berkeley.edu> | 2013-01-20 02:11:58 -0800 |
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committer | Matei Zaharia <matei@eecs.berkeley.edu> | 2013-01-20 02:11:58 -0800 |
commit | ee5a07955c222dce16d0ffb9bde7f61033763c16 (patch) | |
tree | 20b4a556ab8e7b4d50c4185269c1b2bd5cce0065 /docs | |
parent | a23ed25f3cd6e76784f831d0ab7de7d3e193b59f (diff) | |
download | spark-ee5a07955c222dce16d0ffb9bde7f61033763c16.tar.gz spark-ee5a07955c222dce16d0ffb9bde7f61033763c16.tar.bz2 spark-ee5a07955c222dce16d0ffb9bde7f61033763c16.zip |
Fix Python guide to say accumulators are available
Diffstat (limited to 'docs')
-rw-r--r-- | docs/python-programming-guide.md | 1 |
1 files changed, 0 insertions, 1 deletions
diff --git a/docs/python-programming-guide.md b/docs/python-programming-guide.md index 78ef310a00..a840b9b34b 100644 --- a/docs/python-programming-guide.md +++ b/docs/python-programming-guide.md @@ -16,7 +16,6 @@ There are a few key differences between the Python and Scala APIs: * Python is dynamically typed, so RDDs can hold objects of different types. * PySpark does not currently support the following Spark features: - - Accumulators - Special functions on RDDs of doubles, such as `mean` and `stdev` - `lookup` - `persist` at storage levels other than `MEMORY_ONLY` |