| /* |
| * 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.sysds.test.functions.paramserv; |
| |
| import java.util.Map; |
| import java.util.stream.IntStream; |
| |
| import org.junit.Assert; |
| import org.junit.Test; |
| import org.apache.sysds.api.DMLScript; |
| import org.apache.sysds.common.Types.ExecMode; |
| import org.apache.sysds.parser.Statement; |
| import org.apache.sysds.runtime.controlprogram.context.ExecutionContextFactory; |
| import org.apache.sysds.runtime.controlprogram.context.SparkExecutionContext; |
| import org.apache.sysds.runtime.controlprogram.paramserv.ParamservUtils; |
| import org.apache.sysds.runtime.controlprogram.paramserv.dp.DataPartitionLocalScheme; |
| import org.apache.sysds.runtime.matrix.data.MatrixBlock; |
| |
| import scala.Tuple2; |
| |
| public class SparkDataPartitionerTest extends BaseDataPartitionerTest { |
| |
| private static SparkExecutionContext _sec; |
| |
| static { |
| DMLScript.USE_LOCAL_SPARK_CONFIG = true; |
| DMLScript.setGlobalExecMode(ExecMode.SPARK); |
| _sec = (SparkExecutionContext) ExecutionContextFactory.createContext(null); |
| } |
| |
| private Map<Integer, Tuple2<MatrixBlock, MatrixBlock>> doPartitioning(Statement.PSScheme scheme) { |
| MatrixBlock[] mbs = generateData(); |
| return ParamservUtils.doPartitionOnSpark(_sec, ParamservUtils.newMatrixObject(mbs[0]), ParamservUtils.newMatrixObject(mbs[1]), scheme, WORKER_NUM).collectAsMap(); |
| } |
| |
| @Test |
| public void testSparkDataPartitionerDC() { |
| DataPartitionLocalScheme.Result localResult = launchLocalDataPartitionerDC(); |
| Map<Integer, Tuple2<MatrixBlock, MatrixBlock>> sparkResult = doPartitioning(Statement.PSScheme.DISJOINT_CONTIGUOUS); |
| |
| // Compare the both |
| assertResult(localResult, sparkResult); |
| } |
| |
| private static void assertResult(DataPartitionLocalScheme.Result local, Map<Integer, Tuple2<MatrixBlock, MatrixBlock>> spark) { |
| IntStream.range(0, WORKER_NUM).forEach(w -> { |
| Assert.assertArrayEquals(local.pFeatures.get(w).acquireRead().getDenseBlockValues(), spark.get(w)._1.getDenseBlockValues(), 0); |
| Assert.assertArrayEquals(local.pLabels.get(w).acquireRead().getDenseBlockValues(), spark.get(w)._2.getDenseBlockValues(), 0); |
| }); |
| } |
| |
| @Test |
| public void testSparkDataPartitionerDR() { |
| ParamservUtils.SEED = System.nanoTime(); |
| MatrixBlock[] mbs = generateData(); |
| DataPartitionLocalScheme.Result localResult = launchLocalDataPartitionerDR(mbs); |
| Map<Integer, Tuple2<MatrixBlock, MatrixBlock>> sparkResult = doPartitioning(Statement.PSScheme.DISJOINT_RANDOM); |
| |
| // Compare the both |
| assertResult(localResult, sparkResult); |
| } |
| |
| @Test |
| public void testSparkDataPartitionerDRR() { |
| DataPartitionLocalScheme.Result localResult = launchLocalDataPartitionerDRR(); |
| Map<Integer, Tuple2<MatrixBlock, MatrixBlock>> sparkResult = doPartitioning(Statement.PSScheme.DISJOINT_ROUND_ROBIN); |
| |
| // Compare the both |
| assertResult(localResult, sparkResult); |
| } |
| |
| @Test |
| public void testSparkDataPartitionerOR() { |
| ParamservUtils.SEED = System.nanoTime(); |
| DataPartitionLocalScheme.Result localResult = launchLocalDataPartitionerOR(); |
| Map<Integer, Tuple2<MatrixBlock, MatrixBlock>> sparkResult = doPartitioning(Statement.PSScheme.OVERLAP_RESHUFFLE); |
| |
| // Compare the both |
| assertResult(localResult, sparkResult); |
| } |
| } |