/* * (c) 2014 LinkedIn Corp. All rights reserved. * * Licensed 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. */ package com.linkedin.cubert.memory; import java.util.Iterator; import java.util.List; import org.apache.pig.data.Tuple; import org.testng.Assert; import org.testng.annotations.Test; import com.linkedin.cubert.block.BlockSchema; import com.linkedin.cubert.utils.DataGenerator; import com.linkedin.cubert.utils.TupleStore; public class TestColumnarTupleStore { final DataGenerator dataGenerator = new DataGenerator(); @Test public void testAddAndIterate() throws Exception { final int nTests = 1000; final BlockSchema schema = DataGenerator.createBlockSchema(); List<Tuple> tuples = dataGenerator.generateRandomTuples(nTests, schema); TupleStore store = new ColumnarTupleStore(schema); for (final Tuple t : tuples) { store.addToStore(t); } Iterator<Tuple> sit = store.iterator(); for (Tuple tuple : tuples) { Assert.assertTrue(sit.hasNext()); Assert.assertEquals(sit.next(), tuple); } Assert.assertFalse(sit.hasNext()); } @Test public void testRandomAccess() throws Exception { final BlockSchema schema = DataGenerator.createBlockSchema(); List<Tuple> tuples = dataGenerator.generateRandomTuples(1000, schema); TupleStore store = new ColumnarTupleStore(schema); for (final Tuple t : tuples) { store.addToStore(t); } int[] offsets = store.getOffsets(); for (int i = 0; i < offsets.length; i++) { final Tuple t = store.getTuple(offsets[i], null); Assert.assertEquals(tuples.get(i), t); } } }