/**
* 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
* <p>
* http://www.apache.org/licenses/LICENSE-2.0
* <p>
* 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.hadoop.hive.serde2.thrift;
import com.google.code.tempusfugit.concurrency.RepeatingRule;
import com.google.code.tempusfugit.concurrency.annotations.Repeating;
import org.junit.Assert;
import org.junit.Rule;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.junit.runners.Parameterized;
import java.nio.ByteBuffer;
import java.util.Arrays;
import java.util.BitSet;
import java.util.Collection;
import java.util.HashSet;
import java.util.LinkedHashMap;
import java.util.List;
import java.util.Map;
import java.util.Random;
import java.util.Set;
import java.util.concurrent.ThreadLocalRandom;
import static org.junit.Assert.assertArrayEquals;
import static org.junit.Assert.assertEquals;
@RunWith(Parameterized.class)
public class TestColumnBuffer {
@Rule
public RepeatingRule repeatingRule = new RepeatingRule();
private static final int NUM_VARS = 100;
private static final int NUM_NULLS = 30;
private static final Set<Integer> nullIndices = new HashSet<>();
private final Type type;
private final Object vars;
@Parameterized.Parameters
public static Collection<Object[]> types() {
return Arrays.asList(new Object[][]{
{Type.BOOLEAN_TYPE},
{Type.TINYINT_TYPE},
{Type.SMALLINT_TYPE},
{Type.INT_TYPE},
{Type.BIGINT_TYPE},
{Type.DOUBLE_TYPE},
{Type.FLOAT_TYPE},
{Type.BINARY_TYPE},
{Type.STRING_TYPE}
}
);
}
public TestColumnBuffer(Type type) {
this.type = type;
switch (type) {
case BOOLEAN_TYPE:
vars = new boolean[NUM_VARS];
break;
case TINYINT_TYPE:
vars = new byte[NUM_VARS];
break;
case SMALLINT_TYPE:
vars = new short[NUM_VARS];
break;
case INT_TYPE:
vars = new int[NUM_VARS];
break;
case BIGINT_TYPE:
vars = new long[NUM_VARS];
break;
case DOUBLE_TYPE:
case FLOAT_TYPE:
vars = new double[NUM_VARS];
break;
case BINARY_TYPE:
vars = Arrays.asList(new ByteBuffer[NUM_VARS]);
break;
case STRING_TYPE:
vars = Arrays.asList(new String[NUM_VARS]);
break;
default:
throw new IllegalArgumentException("Invalid type " + type);
}
}
private static void prepareNullIndices() {
nullIndices.clear();
Random random = ThreadLocalRandom.current();
while (nullIndices.size() != NUM_NULLS) {
nullIndices.add(random.nextInt(NUM_VARS));
}
}
/**
* Test if the nulls BitSet is maintained properly when we extract subset from ColumnBuffer.
* E.g. suppose we have a ColumnBuffer with nulls [0, 0, 1, 0]. When we split it evenly into
* two subsets, the subsets should have nulls [0, 0] and [1, 0] respectively.
*/
@Test
@Repeating(repetition = 10)
public void testNullsInSubset() {
prepareNullIndices();
BitSet nulls = new BitSet(NUM_VARS);
for (int index : nullIndices) {
nulls.set(index);
}
ColumnBuffer columnBuffer = new ColumnBuffer(type, nulls, vars);
Random random = ThreadLocalRandom.current();
int remaining = NUM_VARS;
while (remaining > 0) {
int toExtract = random.nextInt(remaining) + 1;
ColumnBuffer subset = columnBuffer.extractSubset(toExtract);
verifyNulls(subset, NUM_VARS - remaining);
remaining -= toExtract;
}
}
private static void verifyNulls(ColumnBuffer buffer, int shift) {
BitSet nulls = buffer.getNulls();
for (int i = 0; i < buffer.size(); i++) {
Assert.assertEquals("BitSet in parent and subset not the same.",
nullIndices.contains(i + shift), nulls.get(i));
}
}
@Test
public void testAddValues() {
switch (type) {
case BOOLEAN_TYPE:
testBooleanValues();
break;
case TINYINT_TYPE:
case SMALLINT_TYPE:
case INT_TYPE:
case BIGINT_TYPE:
testAllIntegerTypeValues();
break;
case DOUBLE_TYPE:
case FLOAT_TYPE:
testFloatAndDoubleValues();
break;
case BINARY_TYPE:
testBinaryValues();
break;
case STRING_TYPE:
testStringValues();
break;
default:
throw new IllegalArgumentException("Invalid type " + type);
}
}
private void testAllIntegerTypeValues() {
Map<Type, List<Object>> integerTypesAndValues = new LinkedHashMap<Type, List<Object>>();
// Add TINYINT values
integerTypesAndValues.put(Type.TINYINT_TYPE, Arrays.<Object>asList(
Byte.MIN_VALUE, Byte.MAX_VALUE
));
// Add SMALLINT values
integerTypesAndValues.put(Type.SMALLINT_TYPE, Arrays.<Object>asList(
Short.MIN_VALUE, Short.MIN_VALUE
));
// Add INT values
integerTypesAndValues.put(Type.INT_TYPE, Arrays.<Object>asList(
Integer.MIN_VALUE, Integer.MAX_VALUE
));
// Add BIGINT values
integerTypesAndValues.put(Type.BIGINT_TYPE, Arrays.<Object>asList(
Long.MIN_VALUE, Long.MAX_VALUE
));
// Validate all integer type values are stored correctly
for (Map.Entry entry : integerTypesAndValues.entrySet()) {
Type type = (Type) entry.getKey();
List<Object> values = (List) entry.getValue();
ColumnBuffer c = new ColumnBuffer(type);
for (Object v : values) {
c.addValue(type, v);
}
assertEquals(type, c.getType());
assertEquals(values.size(), c.size());
for (int i = 0; i < c.size(); i++) {
assertEquals(values.get(i), c.get(i));
}
}
}
private void testFloatAndDoubleValues() {
ColumnBuffer floatColumn = new ColumnBuffer(Type.FLOAT_TYPE);
floatColumn.addValue(Type.FLOAT_TYPE, 1.1f);
floatColumn.addValue(Type.FLOAT_TYPE, 2.033f);
// FLOAT_TYPE is treated as DOUBLE_TYPE
assertEquals(Type.FLOAT_TYPE, floatColumn.getType());
assertEquals(2, floatColumn.size());
assertEquals(1.1, floatColumn.get(0));
assertEquals(2.033, floatColumn.get(1));
ColumnBuffer doubleColumn = new ColumnBuffer(Type.DOUBLE_TYPE);
doubleColumn.addValue(Type.DOUBLE_TYPE, 1.1);
doubleColumn.addValue(Type.DOUBLE_TYPE, 2.033);
assertEquals(Type.DOUBLE_TYPE, doubleColumn.getType());
assertEquals(2, doubleColumn.size());
assertEquals(1.1, doubleColumn.get(0));
assertEquals(2.033, doubleColumn.get(1));
}
private void testBooleanValues() {
ColumnBuffer boolColumn = new ColumnBuffer(Type.BOOLEAN_TYPE);
boolColumn.addValue(Type.BOOLEAN_TYPE, true);
boolColumn.addValue(Type.BOOLEAN_TYPE, false);
assertEquals(Type.BOOLEAN_TYPE, boolColumn.getType());
assertEquals(2, boolColumn.size());
assertEquals(true, boolColumn.get(0));
assertEquals(false, boolColumn.get(1));
}
private void testStringValues() {
ColumnBuffer stringColumn = new ColumnBuffer(Type.STRING_TYPE);
stringColumn.addValue(Type.STRING_TYPE, "12abc456");
stringColumn.addValue(Type.STRING_TYPE, "~special$&string");
assertEquals(Type.STRING_TYPE, stringColumn.getType());
assertEquals(2, stringColumn.size());
assertEquals("12abc456", stringColumn.get(0));
assertEquals("~special$&string", stringColumn.get(1));
}
private void testBinaryValues() {
ColumnBuffer binaryColumn = new ColumnBuffer(Type.BINARY_TYPE);
binaryColumn.addValue(Type.BINARY_TYPE, new byte[]{-1, 0, 3, 4});
assertEquals(Type.BINARY_TYPE, binaryColumn.getType());
assertEquals(1, binaryColumn.size());
assertArrayEquals(new byte[]{-1, 0, 3, 4}, (byte[]) binaryColumn.get(0));
}
}