embedded jars: replace spark-example.jar
we can use python implementation of spark pi job. Change-Id: I5428b814eba17153d045c34fe3852704be0cc104
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
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# implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from __future__ import print_function
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import sys
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from random import random
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from operator import add
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from pyspark import SparkContext
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if __name__ == "__main__":
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"""
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Usage: pi [partitions]
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"""
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sc = SparkContext(appName="PythonPi")
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partitions = int(sys.argv[1]) if len(sys.argv) > 1 else 2
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n = 100000 * partitions
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def f(_):
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x = random() * 2 - 1
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y = random() * 2 - 1
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return 1 if x ** 2 + y ** 2 < 1 else 0
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count = sc.parallelize(range(1, n + 1), partitions).map(f).reduce(add)
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print("Pi is roughly %f" % (4.0 * count / n))
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sc.stop()
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@ -65,9 +65,9 @@ edp_jobs_flow:
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- type: Spark
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- type: Spark
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main_lib:
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main_lib:
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type: database
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type: database
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source: edp-examples/edp-spark/spark-example.jar
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source: edp-examples/edp-spark/spark-pi.py
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configs:
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configs:
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edp.java.main_class: org.apache.spark.examples.SparkPi
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edp.java.main_class: main
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args:
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args:
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- 4
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- 4
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spark_wordcount:
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spark_wordcount:
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