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, 66 insertions, 0 deletions

diff --git a/examples/src/main/python/transitive_closure.py b/examples/src/main/python/transitive_closure.py
new file mode 100755
index 0000000000..744cce6651
--- /dev/null
+++ b/examples/src/main/python/transitive_closure.py
@@ -0,0 +1,66 @@
+#
+# 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()