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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.sysds.test.functions.lineage;
import static org.apache.sysds.api.mlcontext.ScriptFactory.dml;
import static org.junit.Assert.assertTrue;
import java.util.ArrayList;
import java.util.List;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.apache.spark.api.java.JavaRDD;
import org.apache.sysds.api.mlcontext.MatrixFormat;
import org.apache.sysds.api.mlcontext.MatrixMetadata;
import org.apache.sysds.api.mlcontext.Script;
import org.apache.sysds.runtime.lineage.LineageCacheConfig.ReuseCacheType;
import org.apache.sysds.test.functions.mlcontext.MLContextTestBase;
import org.junit.Test;
public class LineageMLContextTest extends MLContextTestBase {
protected static final Log LOG = LogFactory.getLog(LineageMLContextTest.class.getName());
@Test
public void testPrintLineage() {
LOG.debug("LineageMLContextTest - JavaRDD<String> IJV sum DML");
List<String> list = new ArrayList<>();
list.add("1 1 5");
list.add("2 2 5");
list.add("3 3 5");
JavaRDD<String> javaRDD = sc.parallelize(list);
MatrixMetadata mm = new MatrixMetadata(MatrixFormat.IJV, 3, 3);
Script script = dml(
"print('sum: '+sum(M+M));"
+ "print(lineage(M+M));"
).in("M", javaRDD, mm);
ml.setLineage(ReuseCacheType.NONE);
String out = MLContextTestBase.executeAndCaptureStdOut(ml,script).getRight();
assertTrue(out.contains("sum: 30.0"));
ml.execute(script);
}
@Test
public void testReuseSameRDD() {
LOG.debug("LineageMLContextTest - JavaRDD<String> IJV sum DML");
List<String> list = new ArrayList<>();
list.add("1 1 5");
list.add("2 2 5");
list.add("3 3 5");
JavaRDD<String> javaRDD = sc.parallelize(list);
MatrixMetadata mm = new MatrixMetadata(MatrixFormat.IJV, 3, 3);
Script script = dml(
"print('sum: '+sum(M+M));"
+ "s = lineage(M+M);"
+"if( sum(M) < 0 ) print(s);"
).in("M", javaRDD, mm);
ml.setLineage(ReuseCacheType.REUSE_FULL);
String out = MLContextTestBase.executeAndCaptureStdOut(ml,script).getRight();
assertTrue(out.contains("sum: 30.0"));
out = MLContextTestBase.executeAndCaptureStdOut(ml,script).getRight();
assertTrue(out.contains("sum: 30.0"));
}
@Test
public void testNoReuseDifferentRDD() {
LOG.debug("LineageMLContextTest - JavaRDD<String> IJV sum DML");
List<String> list = new ArrayList<>();
list.add("1 1 5");
list.add("2 2 5");
list.add("3 3 5");
JavaRDD<String> javaRDD = sc.parallelize(list);
MatrixMetadata mm = new MatrixMetadata(MatrixFormat.IJV, 3, 3);
Script script = dml(
"print('sum: '+sum(M+M));"
+ "s = lineage(M+M);"
+"if( sum(M) < 0 ) print(s);"
).in("M", javaRDD, mm);
ml.setLineage(ReuseCacheType.REUSE_FULL);
String out = MLContextTestBase.executeAndCaptureStdOut(ml,script).getRight();
assertTrue(out.contains("sum: 30.0"));
list.add("4 4 5");
JavaRDD<String> javaRDD2 = sc.parallelize(list);
MatrixMetadata mm2 = new MatrixMetadata(MatrixFormat.IJV, 4, 4);
script.in("M", javaRDD2, mm2);
out = MLContextTestBase.executeAndCaptureStdOut(ml,script).getRight();
assertTrue(out.contains("sum: 40.0"));
}
}