SPARK-1637: Clean up examples for 1.0

- [x] Move all of them into subpackages of org.apache.spark.examples (right now some are in org.apache.spark.streaming.examples, for instance, and others are in org.apache.spark.examples.mllib)
- [x] Move Python examples into examples/src/main/python
- [x] Update docs to reflect these changes

Author: Sandeep <sandeep@techaddict.me>

This patch had conflicts when merged, resolved by
Committer: Matei Zaharia <matei@databricks.com>

Closes #571 from techaddict/SPARK-1637 and squashes the following commits:

47ef86c [Sandeep] Changes based on Discussions on PR, removing use of RawTextHelper from examples
8ed2d3f [Sandeep] Docs Updated for changes, Change for java examples
5f96121 [Sandeep] Move Python examples into examples/src/main/python
0a8dd77 [Sandeep] Move all Scala Examples to org.apache.spark.examples (some are in org.apache.spark.streaming.examples, for instance, and others are in org.apache.spark.examples.mllib)

1 files changed, 0 insertions, 66 deletions

diff --git a/python/examples/transitive_closure.py b/python/examples/transitive_closure.py
deleted file mode 100755
index 744cce6651..0000000000
--- a/python/examples/transitive_closure.py
+++ /dev/null
@@ -1,66 +0,0 @@
-#
-# Licensed to the Apache Software Foundation (ASF) under one or more
-# contributor license agreements.  See the NOTICE file distributed with
-# this work for additional information regarding copyright ownership.
-# The ASF licenses this file to You under the Apache License, Version 2.0
-# (the "License"); you may not use this file except in compliance with
-# the License.  You may obtain a copy of the License at
-#
-#    http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-
-import sys
-from random import Random
-
-from pyspark import SparkContext
-
-numEdges = 200
-numVertices = 100
-rand = Random(42)
-
-
-def generateGraph():
-    edges = set()
-    while len(edges) < numEdges:
-        src = rand.randrange(0, numEdges)
-        dst = rand.randrange(0, numEdges)
-        if src != dst:
-            edges.add((src, dst))
-    return edges
-
-
-if __name__ == "__main__":
-    if len(sys.argv) == 1:
-        print >> sys.stderr, "Usage: transitive_closure <master> [<slices>]"
-        exit(-1)
-    sc = SparkContext(sys.argv[1], "PythonTransitiveClosure")
-    slices = int(sys.argv[2]) if len(sys.argv) > 2 else 2
-    tc = sc.parallelize(generateGraph(), slices).cache()
-
-    # Linear transitive closure: each round grows paths by one edge,
-    # by joining the graph's edges with the already-discovered paths.
-    # e.g. join the path (y, z) from the TC with the edge (x, y) from
-    # the graph to obtain the path (x, z).
-
-    # Because join() joins on keys, the edges are stored in reversed order.
-    edges = tc.map(lambda (x, y): (y, x))
-
-    oldCount = 0L
-    nextCount = tc.count()
-    while True:
-        oldCount = nextCount
-        # Perform the join, obtaining an RDD of (y, (z, x)) pairs,
-        # then project the result to obtain the new (x, z) paths.
-        new_edges = tc.join(edges).map(lambda (_, (a, b)): (b, a))
-        tc = tc.union(new_edges).distinct().cache()
-        nextCount = tc.count()
-        if nextCount == oldCount:
-            break
-
-    print "TC has %i edges" % tc.count()