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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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*
* http://www.apache.org/licenses/LICENSE-2.0
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package org.apache.cassandra.db.view;
import java.net.InetAddress;
import java.util.ArrayList;
import java.util.List;
import java.util.Optional;
import org.apache.cassandra.config.DatabaseDescriptor;
import org.apache.cassandra.db.Keyspace;
import org.apache.cassandra.dht.Token;
import org.apache.cassandra.locator.AbstractReplicationStrategy;
import org.apache.cassandra.locator.NetworkTopologyStrategy;
import org.apache.cassandra.utils.FBUtilities;
public final class ViewUtils
{
private ViewUtils()
{
}
/**
* Calculate the natural endpoint for the view.
*
* The view natural endpoint is the endpoint which has the same cardinality as this node in the replication factor.
* The cardinality is the number at which this node would store a piece of data, given the change in replication
* factor. If the keyspace's replication strategy is a NetworkTopologyStrategy, we filter the ring to contain only
* nodes in the local datacenter when calculating cardinality.
*
* For example, if we have the following ring:
* A, T1 -> B, T2 -> C, T3 -> A
*
* For the token T1, at RF=1, A would be included, so A's cardinality for T1 is 1. For the token T1, at RF=2, B would
* be included, so B's cardinality for token T1 is 2. For token T3, at RF = 2, A would be included, so A's cardinality
* for T3 is 2.
*
* For a view whose base token is T1 and whose view token is T3, the pairings between the nodes would be:
* A writes to C (A's cardinality is 1 for T1, and C's cardinality is 1 for T3)
* B writes to A (B's cardinality is 2 for T1, and A's cardinality is 2 for T3)
* C writes to B (C's cardinality is 3 for T1, and B's cardinality is 3 for T3)
*
* @return Optional.empty() if this method is called using a base token which does not belong to this replica
*/
public static Optional getViewNaturalEndpoint(String keyspaceName, Token baseToken, Token viewToken)
{
AbstractReplicationStrategy replicationStrategy = Keyspace.open(keyspaceName).getReplicationStrategy();
String localDataCenter = DatabaseDescriptor.getEndpointSnitch().getDatacenter(FBUtilities.getBroadcastAddress());
List baseEndpoints = new ArrayList<>();
List viewEndpoints = new ArrayList<>();
for (InetAddress baseEndpoint : replicationStrategy.getNaturalEndpoints(baseToken))
{
// An endpoint is local if we're not using Net
if (!(replicationStrategy instanceof NetworkTopologyStrategy) ||
DatabaseDescriptor.getEndpointSnitch().getDatacenter(baseEndpoint).equals(localDataCenter))
baseEndpoints.add(baseEndpoint);
}
for (InetAddress viewEndpoint : replicationStrategy.getNaturalEndpoints(viewToken))
{
// If we are a base endpoint which is also a view replica, we use ourselves as our view replica
if (viewEndpoint.equals(FBUtilities.getBroadcastAddress()))
return Optional.of(viewEndpoint);
// We have to remove any endpoint which is shared between the base and the view, as it will select itself
// and throw off the counts otherwise.
if (baseEndpoints.contains(viewEndpoint))
baseEndpoints.remove(viewEndpoint);
else if (!(replicationStrategy instanceof NetworkTopologyStrategy) ||
DatabaseDescriptor.getEndpointSnitch().getDatacenter(viewEndpoint).equals(localDataCenter))
viewEndpoints.add(viewEndpoint);
}
// The replication strategy will be the same for the base and the view, as they must belong to the same keyspace.
// Since the same replication strategy is used, the same placement should be used and we should get the same
// number of replicas for all of the tokens in the ring.
assert baseEndpoints.size() == viewEndpoints.size() : "Replication strategy should have the same number of endpoints for the base and the view";
int baseIdx = baseEndpoints.indexOf(FBUtilities.getBroadcastAddress());
if (baseIdx < 0)
//This node is not a base replica of this key, so we return empty
return Optional.empty();
return Optional.of(viewEndpoints.get(baseIdx));
}
}
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