src/test/java/org/apache/sysds/test/functions/parfor/partition/ParForBlockwiseDataPartitioningTest.java - systemds - Git at Google

 /*
  * 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.parfor.partition;

 import java.util.HashMap;

 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.conf.CompilerConfig;
 import org.apache.sysds.runtime.controlprogram.ParForProgramBlock.PDataPartitioner;
 import org.apache.sysds.runtime.controlprogram.ParForProgramBlock.PExecMode;
 import org.apache.sysds.runtime.matrix.data.MatrixValue.CellIndex;
 import org.apache.sysds.test.AutomatedTestBase;
 import org.apache.sysds.test.TestConfiguration;
 import org.apache.sysds.test.TestUtils;

 public class ParForBlockwiseDataPartitioningTest extends AutomatedTestBase
 {
 	//positive test cases, i.e., test cases where row/column block partitioning applied
 	private final static String TEST_NAME1 = "parfor_brdatapartitioning_pos";
 	private final static String TEST_NAME2 = "parfor_bcdatapartitioning_pos";
 	//negative test cases, i.e., test cases where row/column block partitioning not applied
 	private final static String TEST_NAME3 = "parfor_brdatapartitioning_neg";
 	private final static String TEST_NAME4 = "parfor_bcdatapartitioning_neg";

 	private final static String TEST_DIR = "functions/parfor/";
 	private final static String TEST_CLASS_DIR = TEST_DIR + ParForBlockwiseDataPartitioningTest.class.getSimpleName() + "/";
 	private final static double eps = 1e-10;

 	//moderate data size, force spark rix via unknowns
 	private final static int rows = 1014;
 	private final static int cols = 2024;
 	private final static double sparsity1 = 0.7;
 	private final static double sparsity2 = 0.01;

 	@Override
 	public void setUp() {
 		TestUtils.clearAssertionInformation();
 		addTestConfiguration(TEST_NAME1, new TestConfiguration(TEST_CLASS_DIR, TEST_NAME1, new String[] { "Rout" }) );
 		addTestConfiguration(TEST_NAME2, new TestConfiguration(TEST_CLASS_DIR, TEST_NAME2, new String[] { "Rout" }) );
 		addTestConfiguration(TEST_NAME3, new TestConfiguration(TEST_CLASS_DIR, TEST_NAME3, new String[] { "Rout" }) );
 		addTestConfiguration(TEST_NAME4, new TestConfiguration(TEST_CLASS_DIR, TEST_NAME4, new String[] { "Rout" }) );
 	}


 	@Test
 	public void testParForRowBlockPartitioningLocalLocalDense() {
 		runParForDataPartitioningTest(TEST_NAME1, PDataPartitioner.LOCAL, PExecMode.LOCAL, false);
 	}

 	@Test
 	public void testParForRowBlockPartitioningLocalRemoteDense() {
 		runParForDataPartitioningTest(TEST_NAME1, PDataPartitioner.LOCAL, PExecMode.REMOTE_SPARK, false);
 	}

 	@Test
 	public void testParForRowBlockPartitioningRemoteLocalDense() {
 		runParForDataPartitioningTest(TEST_NAME1, PDataPartitioner.REMOTE_SPARK, PExecMode.LOCAL, false);
 	}

 	@Test
 	public void testParForRowBlockPartitioningRemoteRemoteDense() {
 		runParForDataPartitioningTest(TEST_NAME1, PDataPartitioner.REMOTE_SPARK, PExecMode.REMOTE_SPARK, false);
 	}

 	@Test
 	public void testParForRowBlockPartitioningLocalLocalSparse() {
 		runParForDataPartitioningTest(TEST_NAME1, PDataPartitioner.LOCAL, PExecMode.LOCAL, true);
 	}

 	@Test
 	public void testParForRowBlockPartitioningLocalRemoteSparse() {
 		runParForDataPartitioningTest(TEST_NAME1, PDataPartitioner.LOCAL, PExecMode.REMOTE_SPARK, true);
 	}

 	@Test
 	public void testParForRowBlockPartitioningRemoteLocalSparse() {
 		runParForDataPartitioningTest(TEST_NAME1, PDataPartitioner.REMOTE_SPARK, PExecMode.LOCAL, true);
 	}

 	@Test
 	public void testParForRowBlockPartitioningRemoteRemoteSparse() {
 		runParForDataPartitioningTest(TEST_NAME1, PDataPartitioner.REMOTE_SPARK, PExecMode.REMOTE_SPARK, true);
 	}

 	@Test
 	public void testParForColBlockPartitioningLocalLocalDense() {
 		runParForDataPartitioningTest(TEST_NAME2, PDataPartitioner.LOCAL, PExecMode.LOCAL, false);
 	}

 	@Test
 	public void testParForColBlockPartitioningLocalRemoteDense() {
 		runParForDataPartitioningTest(TEST_NAME2, PDataPartitioner.LOCAL, PExecMode.REMOTE_SPARK, false);
 	}

 	@Test
 	public void testParForColBlockPartitioningRemoteLocalDense() {
 		runParForDataPartitioningTest(TEST_NAME2, PDataPartitioner.REMOTE_SPARK, PExecMode.LOCAL, false);
 	}

 	@Test
 	public void testParForColBlockPartitioningRemoteRemoteDense() {
 		runParForDataPartitioningTest(TEST_NAME2, PDataPartitioner.REMOTE_SPARK, PExecMode.REMOTE_SPARK, false);
 	}

 	@Test
 	public void testParForColBlockPartitioningLocalLocalSparse() {
 		runParForDataPartitioningTest(TEST_NAME2, PDataPartitioner.LOCAL, PExecMode.LOCAL, true);
 	}

 	@Test
 	public void testParForColBlockPartitioningLocalRemoteSparse() {
 		runParForDataPartitioningTest(TEST_NAME2, PDataPartitioner.LOCAL, PExecMode.REMOTE_SPARK, true);
 	}

 	@Test
 	public void testParForColBlockPartitioningRemoteLocalSparse() {
 		runParForDataPartitioningTest(TEST_NAME2, PDataPartitioner.REMOTE_SPARK, PExecMode.LOCAL, true);
 	}

 	@Test
 	public void testParForColBlockPartitioningRemoteRemoteSparse() {
 		runParForDataPartitioningTest(TEST_NAME2, PDataPartitioner.REMOTE_SPARK, PExecMode.REMOTE_SPARK, true);
 	}

 	//fused data partition execute

 	@Test
 	public void testParForRowBlockPartitioningRemoteRemoteFusedDense() {
 		runParForDataPartitioningTest(TEST_NAME1, PDataPartitioner.UNSPECIFIED, PExecMode.REMOTE_SPARK_DP, false);
 	}

 	@Test
 	public void testParForColBlockPartitioningRemoteRemoteFusedDense() {
 		runParForDataPartitioningTest(TEST_NAME2, PDataPartitioner.UNSPECIFIED, PExecMode.REMOTE_SPARK_DP, false);
 	}


 	//negative examples

 	@Test
 	public void testParForRowBlockPartitioningRemoteLocalSparseNegative() {
 		runParForDataPartitioningTest(TEST_NAME3, PDataPartitioner.REMOTE_SPARK, PExecMode.LOCAL, true);
 	}

 	@Test
 	public void testParForRowBlockPartitioningRemoteRemoteSparseNegative() {
 		runParForDataPartitioningTest(TEST_NAME3, PDataPartitioner.REMOTE_SPARK, PExecMode.REMOTE_SPARK, true);
 	}

 	@Test
 	public void testParForColBlockPartitioningRemoteLocalSparseNegative() {
 		runParForDataPartitioningTest(TEST_NAME4, PDataPartitioner.REMOTE_SPARK, PExecMode.LOCAL, true);
 	}

 	@Test
 	public void testParForColBlockPartitioningRemoteRemoteSparseNegative() {
 		runParForDataPartitioningTest(TEST_NAME4, PDataPartitioner.REMOTE_SPARK, PExecMode.REMOTE_SPARK, true);
 	}

 	private void runParForDataPartitioningTest( String testname, PDataPartitioner partitioner, PExecMode mode, boolean sparse )
 	{
 		ExecMode oldRT = rtplatform;
 		boolean oldUseSparkConfig = DMLScript.USE_LOCAL_SPARK_CONFIG;
 		boolean oldDynRecompile = CompilerConfig.FLAG_DYN_RECOMPILE;

 		//run always in spark execution mode
 		DMLScript.USE_LOCAL_SPARK_CONFIG = true;
 		rtplatform = ExecMode.HYBRID;

 		try
 		{
 			TestConfiguration config = getTestConfiguration(testname);
 			loadTestConfiguration(config);

 			CompilerConfig.FLAG_DYN_RECOMPILE = false;

 			String HOME = SCRIPT_DIR + TEST_DIR;
 			fullDMLScriptName = HOME + testname + ".dml";
 			programArgs = new String[]{"-stats", "-args", input("V"),
 				partitioner.name(), mode.name(), output("R") };

 			fullRScriptName = HOME + testname + ".R";
 			rCmd = "Rscript" + " " + fullRScriptName + " " + inputDir() + " " + expectedDir();

 			//generate input data
 			int lrows = testname.equals(TEST_NAME1) || testname.equals(TEST_NAME3) ? rows : cols;
 			int lcols = testname.equals(TEST_NAME1) || testname.equals(TEST_NAME3) ? cols : rows;
 			double lsparsity = sparse ? sparsity2 : sparsity1;
 			double[][] V = getRandomMatrix(lrows, lcols, 0, 1, lsparsity, System.nanoTime());
 			writeInputMatrixWithMTD("V", V, true);

 			//run test
 			runTest(true, false, null, -1);
 			runRScript(true);

 			//compare matrices
 			HashMap<CellIndex, Double> dmlfile = readDMLMatrixFromHDFS("R");
 			HashMap<CellIndex, Double> rfile  = readRMatrixFromFS("Rout");
 			TestUtils.compareMatrices(dmlfile, rfile, eps, "DML", "R");

 			//test for correct plan
 			boolean pos = testname.equals(TEST_NAME1) || testname.equals(TEST_NAME2);
 			Assert.assertEquals(pos, heavyHittersContainsSubString("ParFor-DPSP")
 					|| heavyHittersContainsSubString("ParFor-DPESP"));
 		}
 		finally
 		{
 			rtplatform = oldRT;
 			DMLScript.USE_LOCAL_SPARK_CONFIG = oldUseSparkConfig;
 			CompilerConfig.FLAG_DYN_RECOMPILE = oldDynRecompile;
 		}
 	}
 }
	/*
	* 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.parfor.partition;

	import java.util.HashMap;

	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.conf.CompilerConfig;
	import org.apache.sysds.runtime.controlprogram.ParForProgramBlock.PDataPartitioner;
	import org.apache.sysds.runtime.controlprogram.ParForProgramBlock.PExecMode;
	import org.apache.sysds.runtime.matrix.data.MatrixValue.CellIndex;
	import org.apache.sysds.test.AutomatedTestBase;
	import org.apache.sysds.test.TestConfiguration;
	import org.apache.sysds.test.TestUtils;

	public class ParForBlockwiseDataPartitioningTest extends AutomatedTestBase
	{
	//positive test cases, i.e., test cases where row/column block partitioning applied
	private final static String TEST_NAME1 = "parfor_brdatapartitioning_pos";
	private final static String TEST_NAME2 = "parfor_bcdatapartitioning_pos";
	//negative test cases, i.e., test cases where row/column block partitioning not applied
	private final static String TEST_NAME3 = "parfor_brdatapartitioning_neg";
	private final static String TEST_NAME4 = "parfor_bcdatapartitioning_neg";

	private final static String TEST_DIR = "functions/parfor/";
	private final static String TEST_CLASS_DIR = TEST_DIR + ParForBlockwiseDataPartitioningTest.class.getSimpleName() + "/";
	private final static double eps = 1e-10;

	//moderate data size, force spark rix via unknowns
	private final static int rows = 1014;
	private final static int cols = 2024;
	private final static double sparsity1 = 0.7;
	private final static double sparsity2 = 0.01;

	@Override
	public void setUp() {
	TestUtils.clearAssertionInformation();
	addTestConfiguration(TEST_NAME1, new TestConfiguration(TEST_CLASS_DIR, TEST_NAME1, new String[] { "Rout" }) );
	addTestConfiguration(TEST_NAME2, new TestConfiguration(TEST_CLASS_DIR, TEST_NAME2, new String[] { "Rout" }) );
	addTestConfiguration(TEST_NAME3, new TestConfiguration(TEST_CLASS_DIR, TEST_NAME3, new String[] { "Rout" }) );
	addTestConfiguration(TEST_NAME4, new TestConfiguration(TEST_CLASS_DIR, TEST_NAME4, new String[] { "Rout" }) );
	}


	@Test
	public void testParForRowBlockPartitioningLocalLocalDense() {
	runParForDataPartitioningTest(TEST_NAME1, PDataPartitioner.LOCAL, PExecMode.LOCAL, false);
	}

	@Test
	public void testParForRowBlockPartitioningLocalRemoteDense() {
	runParForDataPartitioningTest(TEST_NAME1, PDataPartitioner.LOCAL, PExecMode.REMOTE_SPARK, false);
	}

	@Test
	public void testParForRowBlockPartitioningRemoteLocalDense() {
	runParForDataPartitioningTest(TEST_NAME1, PDataPartitioner.REMOTE_SPARK, PExecMode.LOCAL, false);
	}

	@Test
	public void testParForRowBlockPartitioningRemoteRemoteDense() {
	runParForDataPartitioningTest(TEST_NAME1, PDataPartitioner.REMOTE_SPARK, PExecMode.REMOTE_SPARK, false);
	}

	@Test
	public void testParForRowBlockPartitioningLocalLocalSparse() {
	runParForDataPartitioningTest(TEST_NAME1, PDataPartitioner.LOCAL, PExecMode.LOCAL, true);
	}

	@Test
	public void testParForRowBlockPartitioningLocalRemoteSparse() {
	runParForDataPartitioningTest(TEST_NAME1, PDataPartitioner.LOCAL, PExecMode.REMOTE_SPARK, true);
	}

	@Test
	public void testParForRowBlockPartitioningRemoteLocalSparse() {
	runParForDataPartitioningTest(TEST_NAME1, PDataPartitioner.REMOTE_SPARK, PExecMode.LOCAL, true);
	}

	@Test
	public void testParForRowBlockPartitioningRemoteRemoteSparse() {
	runParForDataPartitioningTest(TEST_NAME1, PDataPartitioner.REMOTE_SPARK, PExecMode.REMOTE_SPARK, true);
	}

	@Test
	public void testParForColBlockPartitioningLocalLocalDense() {
	runParForDataPartitioningTest(TEST_NAME2, PDataPartitioner.LOCAL, PExecMode.LOCAL, false);
	}

	@Test
	public void testParForColBlockPartitioningLocalRemoteDense() {
	runParForDataPartitioningTest(TEST_NAME2, PDataPartitioner.LOCAL, PExecMode.REMOTE_SPARK, false);
	}

	@Test
	public void testParForColBlockPartitioningRemoteLocalDense() {
	runParForDataPartitioningTest(TEST_NAME2, PDataPartitioner.REMOTE_SPARK, PExecMode.LOCAL, false);
	}

	@Test
	public void testParForColBlockPartitioningRemoteRemoteDense() {
	runParForDataPartitioningTest(TEST_NAME2, PDataPartitioner.REMOTE_SPARK, PExecMode.REMOTE_SPARK, false);
	}

	@Test
	public void testParForColBlockPartitioningLocalLocalSparse() {
	runParForDataPartitioningTest(TEST_NAME2, PDataPartitioner.LOCAL, PExecMode.LOCAL, true);
	}

	@Test
	public void testParForColBlockPartitioningLocalRemoteSparse() {
	runParForDataPartitioningTest(TEST_NAME2, PDataPartitioner.LOCAL, PExecMode.REMOTE_SPARK, true);
	}

	@Test
	public void testParForColBlockPartitioningRemoteLocalSparse() {
	runParForDataPartitioningTest(TEST_NAME2, PDataPartitioner.REMOTE_SPARK, PExecMode.LOCAL, true);
	}

	@Test
	public void testParForColBlockPartitioningRemoteRemoteSparse() {
	runParForDataPartitioningTest(TEST_NAME2, PDataPartitioner.REMOTE_SPARK, PExecMode.REMOTE_SPARK, true);
	}

	//fused data partition execute

	@Test
	public void testParForRowBlockPartitioningRemoteRemoteFusedDense() {
	runParForDataPartitioningTest(TEST_NAME1, PDataPartitioner.UNSPECIFIED, PExecMode.REMOTE_SPARK_DP, false);
	}

	@Test
	public void testParForColBlockPartitioningRemoteRemoteFusedDense() {
	runParForDataPartitioningTest(TEST_NAME2, PDataPartitioner.UNSPECIFIED, PExecMode.REMOTE_SPARK_DP, false);
	}


	//negative examples

	@Test
	public void testParForRowBlockPartitioningRemoteLocalSparseNegative() {
	runParForDataPartitioningTest(TEST_NAME3, PDataPartitioner.REMOTE_SPARK, PExecMode.LOCAL, true);
	}

	@Test
	public void testParForRowBlockPartitioningRemoteRemoteSparseNegative() {
	runParForDataPartitioningTest(TEST_NAME3, PDataPartitioner.REMOTE_SPARK, PExecMode.REMOTE_SPARK, true);
	}

	@Test
	public void testParForColBlockPartitioningRemoteLocalSparseNegative() {
	runParForDataPartitioningTest(TEST_NAME4, PDataPartitioner.REMOTE_SPARK, PExecMode.LOCAL, true);
	}

	@Test
	public void testParForColBlockPartitioningRemoteRemoteSparseNegative() {
	runParForDataPartitioningTest(TEST_NAME4, PDataPartitioner.REMOTE_SPARK, PExecMode.REMOTE_SPARK, true);
	}

	private void runParForDataPartitioningTest( String testname, PDataPartitioner partitioner, PExecMode mode, boolean sparse )
	{
	ExecMode oldRT = rtplatform;
	boolean oldUseSparkConfig = DMLScript.USE_LOCAL_SPARK_CONFIG;
	boolean oldDynRecompile = CompilerConfig.FLAG_DYN_RECOMPILE;

	//run always in spark execution mode
	DMLScript.USE_LOCAL_SPARK_CONFIG = true;
	rtplatform = ExecMode.HYBRID;

	try
	{
	TestConfiguration config = getTestConfiguration(testname);
	loadTestConfiguration(config);

	CompilerConfig.FLAG_DYN_RECOMPILE = false;

	String HOME = SCRIPT_DIR + TEST_DIR;
	fullDMLScriptName = HOME + testname + ".dml";
	programArgs = new String[]{"-stats", "-args", input("V"),
	partitioner.name(), mode.name(), output("R") };

	fullRScriptName = HOME + testname + ".R";
	rCmd = "Rscript" + " " + fullRScriptName + " " + inputDir() + " " + expectedDir();

	//generate input data
	int lrows = testname.equals(TEST_NAME1) \|\| testname.equals(TEST_NAME3) ? rows : cols;
	int lcols = testname.equals(TEST_NAME1) \|\| testname.equals(TEST_NAME3) ? cols : rows;
	double lsparsity = sparse ? sparsity2 : sparsity1;
	double[][] V = getRandomMatrix(lrows, lcols, 0, 1, lsparsity, System.nanoTime());
	writeInputMatrixWithMTD("V", V, true);

	//run test
	runTest(true, false, null, -1);
	runRScript(true);

	//compare matrices
	HashMap<CellIndex, Double> dmlfile = readDMLMatrixFromHDFS("R");
	HashMap<CellIndex, Double> rfile = readRMatrixFromFS("Rout");
	TestUtils.compareMatrices(dmlfile, rfile, eps, "DML", "R");

	//test for correct plan
	boolean pos = testname.equals(TEST_NAME1) \|\| testname.equals(TEST_NAME2);
	Assert.assertEquals(pos, heavyHittersContainsSubString("ParFor-DPSP")
	\|\| heavyHittersContainsSubString("ParFor-DPESP"));
	}
	finally
	{
	rtplatform = oldRT;
	DMLScript.USE_LOCAL_SPARK_CONFIG = oldUseSparkConfig;
	CompilerConfig.FLAG_DYN_RECOMPILE = oldDynRecompile;
	}
	}
	}