| /* |
| * 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.transform; |
| |
| 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.common.Types.FileFormat; |
| import org.apache.sysds.runtime.io.FileFormatPropertiesCSV; |
| import org.apache.sysds.runtime.io.FrameReader; |
| import org.apache.sysds.runtime.io.FrameReaderFactory; |
| import org.apache.sysds.runtime.matrix.data.FrameBlock; |
| import org.apache.sysds.runtime.util.DataConverter; |
| import org.apache.sysds.test.AutomatedTestBase; |
| import org.apache.sysds.test.TestConfiguration; |
| import org.apache.sysds.test.TestUtils; |
| import org.apache.sysds.utils.Statistics; |
| |
| public class TransformCSVFrameEncodeDecodeTest extends AutomatedTestBase |
| { |
| private final static String TEST_NAME1 = "TransformCSVFrameEncodeDecode"; |
| private final static String TEST_DIR = "functions/transform/"; |
| private final static String TEST_CLASS_DIR = TEST_DIR + TransformCSVFrameEncodeDecodeTest.class.getSimpleName() + "/"; |
| |
| //dataset and transform tasks without missing values |
| private final static String DATASET = "csv_mix/quotes1.csv"; |
| |
| @Override |
| public void setUp() { |
| TestUtils.clearAssertionInformation(); |
| addTestConfiguration(TEST_NAME1, |
| new TestConfiguration(TEST_CLASS_DIR, TEST_NAME1, new String[] { "R" }) ); |
| } |
| |
| @Test |
| public void testHomesRecodeIDsSingleNodeCSV() { |
| runTransformTest(ExecMode.SINGLE_NODE, "csv"); |
| } |
| |
| @Test |
| public void testHomesRecodeIDsSparkCSV() { |
| runTransformTest(ExecMode.SPARK, "csv"); |
| } |
| |
| @Test |
| public void testHomesRecodeIDsHybridCSV() { |
| runTransformTest(ExecMode.HYBRID, "csv"); |
| } |
| |
| private void runTransformTest( ExecMode rt, String ofmt ) |
| { |
| //set runtime platform |
| ExecMode rtold = rtplatform; |
| rtplatform = rt; |
| |
| boolean sparkConfigOld = DMLScript.USE_LOCAL_SPARK_CONFIG; |
| if( rtplatform == ExecMode.SPARK || rtplatform == ExecMode.HYBRID) |
| DMLScript.USE_LOCAL_SPARK_CONFIG = true; |
| |
| if( !ofmt.equals("csv") ) |
| throw new RuntimeException("Unsupported test output format"); |
| |
| try |
| { |
| getAndLoadTestConfiguration(TEST_NAME1); |
| |
| String HOME = SCRIPT_DIR + TEST_DIR; |
| fullDMLScriptName = HOME + TEST_NAME1 + ".dml"; |
| programArgs = new String[]{"-explain","-args", |
| HOME + "input/" + DATASET, output("R") }; |
| |
| runTest(true, false, null, -1); |
| |
| //read input/output and compare |
| FrameReader reader1 = FrameReaderFactory.createFrameReader(FileFormat.CSV, |
| new FileFormatPropertiesCSV(false, ",", false)); |
| FrameBlock fb1 = reader1.readFrameFromHDFS(HOME + "input/" + DATASET, -1L, -1L); |
| FrameReader reader2 = FrameReaderFactory.createFrameReader(FileFormat.CSV); |
| FrameBlock fb2 = reader2.readFrameFromHDFS(output("R"), -1L, -1L); |
| String[][] R1 = DataConverter.convertToStringFrame(fb1); |
| String[][] R2 = DataConverter.convertToStringFrame(fb2); |
| TestUtils.compareFrames(R1, R2, R1.length, R1[0].length); |
| |
| if( rt == ExecMode.HYBRID ) { |
| Assert.assertEquals("Wrong number of executed Spark instructions: " + |
| Statistics.getNoOfExecutedSPInst(), new Long(0), new Long(Statistics.getNoOfExecutedSPInst())); |
| } |
| } |
| catch(Exception ex) { |
| throw new RuntimeException(ex); |
| } |
| finally { |
| rtplatform = rtold; |
| DMLScript.USE_LOCAL_SPARK_CONFIG = sparkConfigOld; |
| } |
| } |
| } |