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    • org.apache.cassandra.service.reads.repair.BlockingPartitionRepair Maven / Gradle / Ivy

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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.service.reads.repair;

import java.util.List;
import java.util.Map;
import java.util.concurrent.ConcurrentHashMap;
import java.util.concurrent.CountDownLatch;
import java.util.concurrent.TimeUnit;

import com.google.common.annotations.VisibleForTesting;
import com.google.common.base.Preconditions;
import com.google.common.collect.Iterables;
import com.google.common.collect.Lists;
import com.google.common.util.concurrent.AbstractFuture;

import org.apache.cassandra.config.DatabaseDescriptor;
import org.apache.cassandra.db.ColumnFamilyStore;
import org.apache.cassandra.db.ConsistencyLevel;
import org.apache.cassandra.db.DecoratedKey;
import org.apache.cassandra.db.Keyspace;
import org.apache.cassandra.db.Mutation;
import org.apache.cassandra.db.partitions.PartitionUpdate;
import org.apache.cassandra.locator.EndpointsForToken;
import org.apache.cassandra.locator.InOurDcTester;
import org.apache.cassandra.locator.InetAddressAndPort;
import org.apache.cassandra.locator.Replica;
import org.apache.cassandra.locator.ReplicaPlan;
import org.apache.cassandra.locator.Replicas;
import org.apache.cassandra.metrics.ReadRepairMetrics;
import org.apache.cassandra.net.RequestCallback;
import org.apache.cassandra.net.Message;
import org.apache.cassandra.net.MessagingService;
import org.apache.cassandra.schema.TableId;
import org.apache.cassandra.tracing.Tracing;

import static org.apache.cassandra.net.Verb.*;
import static com.google.common.collect.Iterables.all;

public class BlockingPartitionRepair
        extends AbstractFuture implements RequestCallback
{
    private final DecoratedKey key;
    private final ReplicaPlan.ForTokenWrite writePlan;
    private final Map pendingRepairs;
    private final CountDownLatch latch;

    private volatile long mutationsSentTime;

    public BlockingPartitionRepair(DecoratedKey key, Map repairs, ReplicaPlan.ForTokenWrite writePlan)
    {
        this.key = key;
        this.pendingRepairs = new ConcurrentHashMap<>(repairs);
        this.writePlan = writePlan;

        // make sure all the read repair targets are contact of the repair write plan
        Preconditions.checkState(all(repairs.keySet(), (r) -> writePlan.contacts().contains(r)),
                                 "All repair targets should be part of contacts of read repair write plan.");

        int blockFor = writePlan.blockFor();
        // here we remove empty repair mutations from the block for total, since
        // we're not sending them mutations
        for (Replica participant : writePlan.contacts())
        {
            if (!repairs.containsKey(participant))
                blockFor--;

            // make sure for local consistency, all contacts are local replicas
            Preconditions.checkState(!writePlan.consistencyLevel().isDatacenterLocal() || InOurDcTester.replicas().test(participant),
                                     "Local consistency blocking read repair is trying to contact remote DC node: " + participant.endpoint());
        }

        // there are some cases where logically identical data can return different digests
        // For read repair, this would result in ReadRepairHandler being called with a map of
        // empty mutations. If we'd also speculated on either of the read stages, the number
        // of empty mutations would be greater than blockFor, causing the latch ctor to throw
        // an illegal argument exception due to a negative start value. So here we clamp it 0
        latch = new CountDownLatch(Math.max(blockFor, 0));
    }

    int blockFor()
    {
        return writePlan.blockFor();
    }

    @VisibleForTesting
    int waitingOn()
    {
        return (int) latch.getCount();
    }

    @VisibleForTesting
    void ack(InetAddressAndPort from)
    {
        pendingRepairs.remove(writePlan.lookup(from));
        latch.countDown();
    }

    @Override
    public void onResponse(Message msg)
    {
        ack(msg.from());
    }

    private static PartitionUpdate extractUpdate(Mutation mutation)
    {
        return Iterables.getOnlyElement(mutation.getPartitionUpdates());
    }

    /**
     * Combine the contents of any unacked repair into a single update
     */
    private PartitionUpdate mergeUnackedUpdates()
    {
        // recombinate the updates
        List updates = Lists.newArrayList(Iterables.transform(pendingRepairs.values(), BlockingPartitionRepair::extractUpdate));
        return updates.isEmpty() ? null : PartitionUpdate.merge(updates);
    }

    @VisibleForTesting
    protected void sendRR(Message message, InetAddressAndPort endpoint)
    {
        MessagingService.instance().sendWithCallback(message, endpoint, this);
    }

    public void sendInitialRepairs()
    {
        mutationsSentTime = System.nanoTime();
        Replicas.assertFull(pendingRepairs.keySet());

        for (Map.Entry entry: pendingRepairs.entrySet())
        {
            Replica destination = entry.getKey();
            Preconditions.checkArgument(destination.isFull(), "Can't send repairs to transient replicas: %s", destination);
            Mutation mutation = entry.getValue();
            TableId tableId = extractUpdate(mutation).metadata().id;

            Tracing.trace("Sending read-repair-mutation to {}", destination);
            // use a separate verb here to avoid writing hints on timeouts
            sendRR(Message.out(READ_REPAIR_REQ, mutation), destination.endpoint());
            ColumnFamilyStore.metricsFor(tableId).readRepairRequests.mark();
            ReadRepairDiagnostics.sendInitialRepair(this, destination.endpoint(), mutation);
        }
    }

    /**
     * Wait for the repair to complete util a future time
     * If the {@param timeoutAt} is a past time, the method returns immediately with the repair result.
     * @param timeoutAt, future time
     * @param timeUnit, the time unit of the future time
     * @return true if repair is done; otherwise, false.
     */
    public boolean awaitRepairsUntil(long timeoutAt, TimeUnit timeUnit)
    {
        long timeoutAtNanos = timeUnit.toNanos(timeoutAt);
        long remaining = timeoutAtNanos - System.nanoTime();
        try
        {
            return latch.await(remaining, TimeUnit.NANOSECONDS);
        }
        catch (InterruptedException e)
        {
            throw new AssertionError(e);
        }
    }

    private static int msgVersionIdx(int version)
    {
        return version - MessagingService.minimum_version;
    }

    /**
     * If it looks like we might not receive acks for all the repair mutations we sent out, combine all
     * the unacked mutations and send them to the minority of nodes not involved in the read repair data
     * read / write cycle. We will accept acks from them in lieu of acks from the initial mutations sent
     * out, so long as we receive the same number of acks as repair mutations transmitted. This prevents
     * misbehaving nodes from killing a quorum read, while continuing to guarantee monotonic quorum reads
     */
    public void maybeSendAdditionalWrites(long timeout, TimeUnit timeoutUnit)
    {
        if (awaitRepairsUntil(timeout + timeoutUnit.convert(mutationsSentTime, TimeUnit.NANOSECONDS), timeoutUnit))
            return;

        EndpointsForToken newCandidates = writePlan.consistencyLevel().isDatacenterLocal() ? writePlan.liveUncontacted().filter(InOurDcTester.replicas()) : writePlan.liveUncontacted();
        if (newCandidates.isEmpty())
            return;

        PartitionUpdate update = mergeUnackedUpdates();
        if (update == null)
            // final response was received between speculate
            // timeout and call to get unacked mutation.
            return;

        ReadRepairMetrics.speculatedWrite.mark();

        Mutation[] versionedMutations = new Mutation[msgVersionIdx(MessagingService.current_version) + 1];

        for (Replica replica : newCandidates)
        {
            int versionIdx = msgVersionIdx(MessagingService.instance().versions.get(replica.endpoint()));

            Mutation mutation = versionedMutations[versionIdx];

            if (mutation == null)
            {
                mutation = BlockingReadRepairs.createRepairMutation(update, writePlan.consistencyLevel(), replica.endpoint(), true);
                versionedMutations[versionIdx] = mutation;
            }

            if (mutation == null)
            {
                // the mutation is too large to send.
                ReadRepairDiagnostics.speculatedWriteOversized(this, replica.endpoint());
                continue;
            }

            Tracing.trace("Sending speculative read-repair-mutation to {}", replica);
            sendRR(Message.out(READ_REPAIR_REQ, mutation), replica.endpoint());
            ReadRepairDiagnostics.speculatedWrite(this, replica.endpoint(), mutation);
        }
    }

    Keyspace getKeyspace()
    {
        return writePlan.keyspace();
    }

    DecoratedKey getKey()
    {
        return key;
    }

    ConsistencyLevel getConsistency()
    {
        return writePlan.consistencyLevel();
    }
}
    
    
    
    

    




    
    
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