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HbaseEndpoint.java
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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 io.svectors.hbase.cdc;
import static java.util.stream.Collectors.groupingBy;
import java.io.IOException;
import java.time.LocalDate;
import java.util.List;
import java.util.Map;
import java.util.UUID;
import io.svectors.hbase.cdc.config.KafkaConfiguration;
import io.svectors.hbase.cdc.util.TopicNameFilter;
import io.svectors.hbase.cdc.func.ToHRowFunction;
import io.svectors.hbase.cdc.model.HRow;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.Cell;
import org.apache.hadoop.hbase.CellUtil;
import org.apache.hadoop.hbase.replication.BaseReplicationEndpoint;
import org.apache.hadoop.hbase.wal.WAL.Entry;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
/**
* @author ravi.magham
*/
public class HbaseEndpoint extends BaseReplicationEndpoint {
private static final Logger LOG = LoggerFactory.getLogger(HbaseEndpoint.class);
private static final ToHRowFunction TO_HROW = new ToHRowFunction();
private KafkaMessageProducer producer;
private TopicNameFilter topicNameFilter;
public HbaseEndpoint() {
super();
}
@Override
public void init(Context context) throws IOException {
super.init(context);
LOG.info("HbaseEndpoint init: ");
}
@Override
public UUID getPeerUUID() {
return UUID.randomUUID();
}
/**
*
* @param context
* @return
*/
@Override
public boolean replicate(ReplicateContext context) {
final List<Entry> entries = context.getEntries();
final Map<String, List<Entry>> entriesByTable = entries.stream()
.filter(entry -> topicNameFilter.test(entry.getKey().getTablename().getNameAsString()))
.collect(groupingBy(entry -> entry.getKey().getTablename().getNameAsString()));
// persist the data to kafka in parallel.
entriesByTable.entrySet().stream().forEach(entry -> {
final String tableName = entry.getKey();
final List<Entry> tableEntries = entry.getValue();
tableEntries.forEach(tblEntry -> {
List<Cell> cells = tblEntry.getEdit().getCells();
// group the data by the rowkey.
Map<byte[], List<Cell>> columnsByRow = cells.stream()
.collect(groupingBy(CellUtil::cloneRow));
// build the list of rows.
columnsByRow.entrySet().stream().forEach(rowcols -> {
final byte[] rowkey = rowcols.getKey();
final List<Cell> columns = rowcols.getValue();
final HRow row = TO_HROW.apply(rowkey, columns);
producer.send(tableName, row);
});
});
});
return true;
}
@Override
protected void doStart() {
LOG.info("Hbase replication to Kafka started at " + LocalDate.now());
final Configuration hdfsConfig = ctx.getConfiguration();
final KafkaConfiguration kafkaConfig = new KafkaConfiguration(hdfsConfig);
topicNameFilter = new TopicNameFilter(kafkaConfig);
producer = KafkaProducerFactory.getInstance(kafkaConfig);
notifyStarted();
}
@Override
protected void doStop() {
LOG.info("Hbase replication to Kafka stopped at " + LocalDate.now());
producer.close();
notifyStopped();
}
}