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The Apache Cassandra Project develops a highly scalable second-generation distributed database, bringing together Dynamo's fully distributed design and Bigtable's ColumnFamily-based data model.

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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.slf4j.Logger;
import org.slf4j.LoggerFactory;

import org.apache.cassandra.config.SchemaConstants;
import org.apache.cassandra.exceptions.ConfigurationException;
import org.apache.cassandra.dht.Token;
import org.apache.cassandra.service.ClientWarn;
import org.apache.cassandra.service.StorageService;

/**
 * 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
{
    private static final Logger logger = LoggerFactory.getLogger(OldNetworkTopologyStrategy.class);

    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 void maybeWarnOnOptions()
    {
        if (!SchemaConstants.isLocalSystemKeyspace(keyspaceName) && !SchemaConstants.isReplicatedSystemKeyspace(keyspaceName))
        {
            int nodeCount = StorageService.instance.getHostIdToEndpoint().size();
            // nodeCount==0 on many tests
            int rf = getReplicationFactor();
            if (rf > nodeCount && nodeCount != 0)
            {
                String msg = "Your replication factor " + rf
                             + " for keyspace "
                             + keyspaceName
                             + " is higher than the number of nodes "
                             + nodeCount;
                if (ClientWarn.instance.getWarnings() == null || !ClientWarn.instance.getWarnings().contains(msg))
                {
                    ClientWarn.instance.warn(msg);
                    logger.warn(msg);
                }
            }
        }
    }

    public Collection recognizedOptions()
    {
        return Collections.singleton("replication_factor");
    }
}




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