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/*
* 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.accumulo.core.client.sample;
import java.io.DataOutput;
import java.io.IOException;
import org.apache.accumulo.core.data.ByteSequence;
import org.apache.accumulo.core.data.Key;
/**
* Builds a sample based on entire rows. If a row is selected for the sample, then all of its
* columns will be included.
*
* <p>
* To determine what options are valid for hashing see {@link AbstractHashSampler}. This class
* offers no addition options, it always hashes on the row.
*
* <p>
* To configure Accumulo to generate sample data on one thousandth of the rows, the following
* SamplerConfiguration could be created and used to configure a table.
*
* <pre>
* <code>
* new SamplerConfiguration(RowSampler.class.getName()).setOptions(
* ImmutableMap.of("hasher","murmur3_32","modulus","1009"));
* </code>
* </pre>
*
* @since 1.8.0
*/
public class RowSampler extends AbstractHashSampler {
@Override
protected void hash(DataOutput hasher, Key k) throws IOException {
ByteSequence row = k.getRowData();
hasher.write(row.getBackingArray(), row.offset(), row.length());
}
}