/*
* 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.hadoop.hbase.util;
import java.util.ArrayList;
import java.util.Collection;
import java.util.List;
import org.apache.hadoop.hbase.LargeTests;
import org.apache.hadoop.hbase.io.encoding.DataBlockEncoding;
import org.junit.experimental.categories.Category;
import org.junit.runners.Parameterized.Parameters;
/**
* Runs a load test on a mini HBase cluster with data block encoding turned on.
* Compared to other load-test-style unit tests, this one writes a smaller
* amount of data, but goes through all available data block encoding
* algorithms.
*/
@Category(LargeTests.class)
public class TestMiniClusterLoadEncoded extends TestMiniClusterLoadParallel {
/** We do not alternate the multi-put flag in this test. */
private static final boolean USE_MULTI_PUT = true;
@Parameters
public static Collection<Object[]> parameters() {
List<Object[]> parameters = new ArrayList<Object[]>();
for (DataBlockEncoding dataBlockEncoding : DataBlockEncoding.values() ) {
parameters.add(new Object[]{dataBlockEncoding});
}
return parameters;
}
public TestMiniClusterLoadEncoded(DataBlockEncoding encoding) {
super(USE_MULTI_PUT, encoding);
}
/**
* Use a smaller number of keys in in this test.
*/
@Override
protected int numKeys() {
return 3000;
}
}