| /* |
| * 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.frame; |
| |
| import org.junit.AfterClass; |
| import org.junit.Assert; |
| import org.junit.BeforeClass; |
| import org.junit.Test; |
| import org.apache.sysds.api.DMLScript; |
| import org.apache.sysds.common.Types; |
| import org.apache.sysds.common.Types.FileFormat; |
| import org.apache.sysds.lops.LopProperties.ExecType; |
| import org.apache.sysds.runtime.io.*; |
| import org.apache.sysds.runtime.matrix.data.FrameBlock; |
| import org.apache.sysds.runtime.meta.MatrixCharacteristics; |
| import org.apache.sysds.runtime.util.HDFSTool; |
| import org.apache.sysds.runtime.util.UtilFunctions; |
| import org.apache.sysds.test.AutomatedTestBase; |
| import org.apache.sysds.test.TestConfiguration; |
| import org.apache.sysds.test.TestUtils; |
| |
| public class TypeOfTest extends AutomatedTestBase { |
| private final static String TEST_NAME = "TypeOf"; |
| private final static String TEST_DIR = "functions/frame/"; |
| private static final String TEST_CLASS_DIR = TEST_DIR + TypeOfTest.class.getSimpleName() + "/"; |
| |
| private final static Types.ValueType[] schemaStrings = new Types.ValueType[]{Types.ValueType.STRING, Types.ValueType.STRING, Types.ValueType.STRING}; |
| private final static Types.ValueType[] schemaMixed = new Types.ValueType[]{Types.ValueType.STRING, Types.ValueType.FP64, Types.ValueType.INT64, Types.ValueType.BOOLEAN}; |
| |
| private final static int rows = 50; |
| |
| @BeforeClass |
| public static void init() { |
| TestUtils.clearDirectory(TEST_DATA_DIR + TEST_CLASS_DIR); |
| } |
| |
| @AfterClass |
| public static void cleanUp() { |
| if (TEST_CACHE_ENABLED) { |
| TestUtils.clearDirectory(TEST_DATA_DIR + TEST_CLASS_DIR); |
| } |
| } |
| |
| private static void initFrameData(FrameBlock frame, double[][] data, Types.ValueType[] lschema) { |
| Object[] row1 = new Object[lschema.length]; |
| for (int i = 0; i < rows; i++) { |
| for (int j = 0; j < lschema.length; j++) |
| data[i][j] = UtilFunctions.objectToDouble(lschema[j], |
| row1[j] = UtilFunctions.doubleToObject(lschema[j], data[i][j])); |
| frame.appendRow(row1); |
| } |
| } |
| |
| @Override |
| public void setUp() { |
| TestUtils.clearAssertionInformation(); |
| addTestConfiguration(TEST_NAME, new TestConfiguration(TEST_CLASS_DIR, TEST_NAME, new String[]{"B"})); |
| if (TEST_CACHE_ENABLED) |
| setOutAndExpectedDeletionDisabled(true); |
| } |
| |
| @Test |
| public void testTypeOfCP() { |
| runtypeOfTest(schemaStrings, rows, schemaStrings.length, ExecType.CP); |
| } |
| |
| @Test |
| public void testTypeOfSpark() { |
| runtypeOfTest(schemaStrings, rows, schemaStrings.length, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testTypeOfCPD2() { |
| runtypeOfTest(schemaMixed, rows, schemaMixed.length, ExecType.CP); |
| } |
| |
| @Test |
| public void testTypeOfSparkD2() { |
| runtypeOfTest(schemaMixed, rows, schemaMixed.length, ExecType.SPARK); |
| } |
| |
| private void runtypeOfTest(Types.ValueType[] schema, int rows, int cols, ExecType et) { |
| if (et == ExecType.SPARK) |
| DMLScript.USE_LOCAL_SPARK_CONFIG = true; |
| try { |
| getAndLoadTestConfiguration(TEST_NAME); |
| String HOME = SCRIPT_DIR + TEST_DIR; |
| fullDMLScriptName = HOME + TEST_NAME + ".dml"; |
| programArgs = new String[]{"-explain", "-args", input("A"), String.valueOf(rows), String.valueOf(cols), output("B")}; |
| //data generation |
| double[][] A = getRandomMatrix(rows, schema.length, -10, 10, 0.9, 2373); |
| FrameBlock frame1 = new FrameBlock(schema); |
| initFrameData(frame1, A, schema); |
| |
| //write frame data to hdfs |
| FrameWriter writer = FrameWriterFactory.createFrameWriter(FileFormat.CSV); |
| writer.writeFrameToHDFS(frame1, input("A"), rows, schema.length); |
| //write meta file |
| HDFSTool.writeMetaDataFile(input("A.mtd"), Types.ValueType.FP64, schema, Types.DataType.FRAME, new MatrixCharacteristics(rows, schema.length, 1000), FileFormat.CSV); |
| |
| //run testcase |
| runTest(true, false, null, -1); |
| |
| //read frame data from hdfs (not via readers to test physical schema) |
| FrameReader reader = FrameReaderFactory.createFrameReader(FileFormat.BINARY); |
| FrameBlock frame2 = ((FrameReaderBinaryBlock) reader).readFirstBlock(output("B")); |
| |
| //verify output schema |
| for (int i = 0; i < schema.length; i++) { |
| Assert.assertEquals("Wrong result: " + frame2.getSchema()[i] + ".", |
| schema[i].toString(), frame2.get(0, i)); |
| } |
| } |
| catch (Exception ex) { |
| ex.printStackTrace(); |
| throw new RuntimeException(ex); |
| } |
| } |
| } |