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/*
* 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.
*/
package org.apache.wayang.multicontext.apps.wordcount
import org.apache.wayang.api.{MultiContext, DataQuanta, MultiContextPlanBuilder}
import org.apache.wayang.java.Java
import org.apache.wayang.multicontext.apps.loadConfig
object WordCountCombineEach {
def main(args: Array[String]): Unit = {
println("WordCountCombineEach")
println("Scala version:")
println(scala.util.Properties.versionString)
val (configuration1, configuration2) = loadConfig(args)
val context1 = new MultiContext(configuration1)
.withPlugin(Java.basicPlugin())
.withTextFileSink("file:///tmp/out11")
val context2 = new MultiContext(configuration2)
.withPlugin(Java.basicPlugin())
.withTextFileSink("file:///tmp/out12")
val multiContextPlanBuilder = new MultiContextPlanBuilder(List(context1, context2))
.withUdfJarsOf(this.getClass)
// Generate some test data
val inputValues = Array("Big data is big.", "Is data big data?")
// Build and execute a word count
val dq1 = multiContextPlanBuilder
.forEach(_.loadCollection(inputValues))
.forEach(_.flatMap(_.split("\\s+")))
.forEach(_.map(_.replaceAll("\\W+", "").toLowerCase))
.forEach(_.map((_, 1)))
.forEach(_.reduceByKey(_._1, (a, b) => (a._1, a._2 + b._2)))
val dq2 = multiContextPlanBuilder
.forEach(_.loadCollection(inputValues))
.forEach(_.flatMap(_.split("\\s+")))
.forEach(_.map(_.replaceAll("\\W+", "").toLowerCase))
.forEach(_.map((_, 1)))
.forEach(_.reduceByKey(_._1, (a, _) => (a._1, 100)))
dq1.combineEach(dq2, (dq1: DataQuanta[(String, Int)], dq2: DataQuanta[(String, Int)]) => dq1.union(dq2))
.forEach(_.map(t => (t._1 + " wayang out", t._2)))
.execute()
}
}