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A fork of the Apache Cassandra Project that uses Lucene indexes for providing near real time search such as ElasticSearch or Solr, including full text search capabilities, multi-dimensional queries, and relevance scoring.
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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.cassandra.locator;
import java.net.InetAddress;
import java.util.ArrayList;
import java.util.Collections;
import java.util.Collection;
import java.util.Iterator;
import java.util.List;
import java.util.Map;
import org.apache.cassandra.exceptions.ConfigurationException;
import org.apache.cassandra.dht.Token;
/**
* This Replication Strategy returns the nodes responsible for a given
* key but respects rack awareness. It places one replica in a
* different data center from the first (if there is any such data center),
* the third replica in a different rack in the first datacenter, and
* any remaining replicas on the first unused nodes on the ring.
*/
public class OldNetworkTopologyStrategy extends AbstractReplicationStrategy
{
public OldNetworkTopologyStrategy(String keyspaceName, TokenMetadata tokenMetadata, IEndpointSnitch snitch, Map configOptions)
{
super(keyspaceName, tokenMetadata, snitch, configOptions);
}
public List calculateNaturalEndpoints(Token token, TokenMetadata metadata)
{
int replicas = getReplicationFactor();
List endpoints = new ArrayList(replicas);
ArrayList tokens = metadata.sortedTokens();
if (tokens.isEmpty())
return endpoints;
Iterator iter = TokenMetadata.ringIterator(tokens, token, false);
Token primaryToken = iter.next();
endpoints.add(metadata.getEndpoint(primaryToken));
boolean bDataCenter = false;
boolean bOtherRack = false;
while (endpoints.size() < replicas && iter.hasNext())
{
// First try to find one in a different data center
Token t = iter.next();
if (!snitch.getDatacenter(metadata.getEndpoint(primaryToken)).equals(snitch.getDatacenter(metadata.getEndpoint(t))))
{
// If we have already found something in a diff datacenter no need to find another
if (!bDataCenter)
{
endpoints.add(metadata.getEndpoint(t));
bDataCenter = true;
}
continue;
}
// Now try to find one on a different rack
if (!snitch.getRack(metadata.getEndpoint(primaryToken)).equals(snitch.getRack(metadata.getEndpoint(t))) &&
snitch.getDatacenter(metadata.getEndpoint(primaryToken)).equals(snitch.getDatacenter(metadata.getEndpoint(t))))
{
// If we have already found something in a diff rack no need to find another
if (!bOtherRack)
{
endpoints.add(metadata.getEndpoint(t));
bOtherRack = true;
}
}
}
// If we found N number of nodes we are good. This loop wil just exit. Otherwise just
// loop through the list and add until we have N nodes.
if (endpoints.size() < replicas)
{
iter = TokenMetadata.ringIterator(tokens, token, false);
while (endpoints.size() < replicas && iter.hasNext())
{
Token t = iter.next();
if (!endpoints.contains(metadata.getEndpoint(t)))
endpoints.add(metadata.getEndpoint(t));
}
}
return endpoints;
}
public int getReplicationFactor()
{
return Integer.parseInt(this.configOptions.get("replication_factor"));
}
public void validateOptions() throws ConfigurationException
{
if (configOptions == null || configOptions.get("replication_factor") == null)
{
throw new ConfigurationException("SimpleStrategy requires a replication_factor strategy option.");
}
validateReplicationFactor(configOptions.get("replication_factor"));
}
public Collection recognizedOptions()
{
return Collections.singleton("replication_factor");
}
}