All Downloads are FREE. Search and download functionalities are using the official Maven repository.

org.apache.cassandra.locator.NetworkTopologyStrategy Maven / Gradle / Ivy

There is a newer version: 4.3.1.0
Show newest version
/*
 * 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.*;
import java.util.Map.Entry;

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

import org.apache.cassandra.exceptions.ConfigurationException;
import org.apache.cassandra.dht.Token;
import org.apache.cassandra.locator.TokenMetadata.Topology;
import org.apache.cassandra.utils.FBUtilities;
import org.apache.cassandra.utils.Pair;

import com.google.common.collect.Multimap;

/**
 * 

* This Replication Strategy takes a property file that gives the intended * replication factor in each datacenter. The sum total of the datacenter * replication factor values should be equal to the keyspace replication * factor. *

*

* So for example, if the keyspace replication factor is 6, the * datacenter replication factors could be 3, 2, and 1 - so 3 replicas in * one datacenter, 2 in another, and 1 in another - totalling 6. *

* This class also caches the Endpoints and invalidates the cache if there is a * change in the number of tokens. */ public class NetworkTopologyStrategy extends AbstractReplicationStrategy { private final Map datacenters; private static final Logger logger = LoggerFactory.getLogger(NetworkTopologyStrategy.class); public NetworkTopologyStrategy(String keyspaceName, TokenMetadata tokenMetadata, IEndpointSnitch snitch, Map configOptions) throws ConfigurationException { super(keyspaceName, tokenMetadata, snitch, configOptions); Map newDatacenters = new HashMap(); if (configOptions != null) { for (Entry entry : configOptions.entrySet()) { String dc = entry.getKey(); if (dc.equalsIgnoreCase("replication_factor")) throw new ConfigurationException("replication_factor is an option for SimpleStrategy, not NetworkTopologyStrategy"); Integer replicas = Integer.valueOf(entry.getValue()); newDatacenters.put(dc, replicas); } } datacenters = Collections.unmodifiableMap(newDatacenters); logger.trace("Configured datacenter replicas are {}", FBUtilities.toString(datacenters)); } /** * Endpoint adder applying the replication rules for a given DC. */ private static final class DatacenterEndpoints { /** List accepted endpoints get pushed into. */ Set endpoints; /** * Racks encountered so far. Replicas are put into separate racks while possible. * For efficiency the set is shared between the instances, using the location pair (dc, rack) to make sure * clashing names aren't a problem. */ Set> racks; /** Number of replicas left to fill from this DC. */ int rfLeft; int acceptableRackRepeats; DatacenterEndpoints(int rf, int rackCount, int nodeCount, Set endpoints, Set> racks) { this.endpoints = endpoints; this.racks = racks; // If there aren't enough nodes in this DC to fill the RF, the number of nodes is the effective RF. this.rfLeft = Math.min(rf, nodeCount); // If there aren't enough racks in this DC to fill the RF, we'll still use at least one node from each rack, // and the difference is to be filled by the first encountered nodes. acceptableRackRepeats = rf - rackCount; } /** * Attempts to add an endpoint to the replicas for this datacenter, adding to the endpoints set if successful. * Returns true if the endpoint was added, and this datacenter does not require further replicas. */ boolean addEndpointAndCheckIfDone(InetAddress ep, Pair location) { if (done()) return false; if (racks.add(location)) { // New rack. --rfLeft; boolean added = endpoints.add(ep); assert added; return done(); } if (acceptableRackRepeats <= 0) // There must be rfLeft distinct racks left, do not add any more rack repeats. return false; if (!endpoints.add(ep)) // Cannot repeat a node. return false; // Added a node that is from an already met rack to match RF when there aren't enough racks. --acceptableRackRepeats; --rfLeft; return done(); } boolean done() { assert rfLeft >= 0; return rfLeft == 0; } } /** * calculate endpoints in one pass through the tokens by tracking our progress in each DC. */ public List calculateNaturalEndpoints(Token searchToken, TokenMetadata tokenMetadata) { // we want to preserve insertion order so that the first added endpoint becomes primary Set replicas = new LinkedHashSet<>(); Set> seenRacks = new HashSet<>(); Topology topology = tokenMetadata.getTopology(); // all endpoints in each DC, so we can check when we have exhausted all the members of a DC Multimap allEndpoints = topology.getDatacenterEndpoints(); // all racks in a DC so we can check when we have exhausted all racks in a DC Map> racks = topology.getDatacenterRacks(); assert !allEndpoints.isEmpty() && !racks.isEmpty() : "not aware of any cluster members"; int dcsToFill = 0; Map dcs = new HashMap<>(datacenters.size() * 2); // Create a DatacenterEndpoints object for each non-empty DC. for (Map.Entry en : datacenters.entrySet()) { String dc = en.getKey(); int rf = en.getValue(); int nodeCount = sizeOrZero(allEndpoints.get(dc)); if (rf <= 0 || nodeCount <= 0) continue; DatacenterEndpoints dcEndpoints = new DatacenterEndpoints(rf, sizeOrZero(racks.get(dc)), nodeCount, replicas, seenRacks); dcs.put(dc, dcEndpoints); ++dcsToFill; } Iterator tokenIter = TokenMetadata.ringIterator(tokenMetadata.sortedTokens(), searchToken, false); while (dcsToFill > 0 && tokenIter.hasNext()) { Token next = tokenIter.next(); InetAddress ep = tokenMetadata.getEndpoint(next); Pair location = topology.getLocation(ep); DatacenterEndpoints dcEndpoints = dcs.get(location.left); if (dcEndpoints != null && dcEndpoints.addEndpointAndCheckIfDone(ep, location)) --dcsToFill; } return new ArrayList<>(replicas); } private int sizeOrZero(Multimap collection) { return collection != null ? collection.asMap().size() : 0; } private int sizeOrZero(Collection collection) { return collection != null ? collection.size() : 0; } public int getReplicationFactor() { int total = 0; for (int repFactor : datacenters.values()) total += repFactor; return total; } public int getReplicationFactor(String dc) { Integer replicas = datacenters.get(dc); return replicas == null ? 0 : replicas; } public Set getDatacenters() { return datacenters.keySet(); } public void validateOptions() throws ConfigurationException { for (Entry e : this.configOptions.entrySet()) { if (e.getKey().equalsIgnoreCase("replication_factor")) throw new ConfigurationException("replication_factor is an option for SimpleStrategy, not NetworkTopologyStrategy"); validateReplicationFactor(e.getValue()); } } @Override public boolean hasSameSettings(AbstractReplicationStrategy other) { return super.hasSameSettings(other) && ((NetworkTopologyStrategy) other).datacenters.equals(datacenters); } }




© 2015 - 2024 Weber Informatics LLC | Privacy Policy