聊聊CRDT

原创

code4it

修改于 2019-05-08 12:55:41

4.5K0

修改于 2019-05-08 12:55:41

文章被收录于专栏：码匠的流水账

序

本文主要研究一下CRDT

CRDT

CRDT是Conflict-free Replicated Data Type的简称，也称为a passive synchronisation，即免冲突的可复制的数据类型，这种数据类型可以用于数据跨网络复制并且可以自动解决冲突达到一致，非常适合使用AP架构的系统在各个partition之间复制数据时使用；具体实现上可以分为State-based的CvRDT、Operation-based的CmRDT、Delta-based、Pure operation-based等

Consistency without Consensus，guarantee convergence to the same value in spite of network delays, partitions and message reordering

State-based(`CvRDT`)

CvRDT即Convergent Replicated Data Type的简称，也称为an active synchronisation，通常在诸如NFS, AFS, Coda的文件系统以及诸如Riak, Dynamo的KV存储中使用
这种方式是通过传递整个object的states来完成，需要定义一个merge函数来合并输入的object states
该merge函数需要满足commutative及idempotent，即monotonically increasing，以做到可以重试及与order无关

Operation-based(`CmRDT`)

CmRDT即Commutative Replicated Data Type的简称，通常在诸如Bayou, Rover, IceCube, Telex的cooperative systems中使用
这种方式是通过传递operations来完成，需要prepare方法生成operations，以及effect方法将输入的operations表示的变更作用在local state中
这里要求传输协议是可靠的，如果可能重复传输则要求effect是幂等的，而且对order有一定要求，如果不能保证order则需要effect叠加在一起是or的效果

Delta-based

Delta-based可以理解为是结合State-based及Operation-based的一种改进，它通过delta-mutators来进行replicate

Pure operation-based

通常Operation-based的方式需要prepare方法生成operations，这里可能存在延时，Pure operation-based是指prepare的实现不是通过对比state生成operations，而是仅仅返回现成的operations，这就需要记录每一步对object state操作的operations

Convergent Operations

对于CRDT来说，为了实现Conflict-free Replicated对数据结构的一些操作需要满足如下条件：

Associative

(a+(b+c)=(a+b)+c)，即grouping没有影响

Commutative

(a+b=b+a)，即order没有影响

Idempotent

(a+a=a)，即duplication没有影响(幂等)

基本数据类型

CRDT的基本数据类型有Counters、Registers、Sets

Counters

Grow-only counter(G-Counter)

使用max函数来进行merge

Positive-negative counter(PN-Counter)

使用两个G-Counter来实现，一个用于递增，一个用于递减，最后取值进行sum

Registers

register有assign()及value()两种操作

Last Write Wins -register(LWW-Register)

给每个assign操作添加unique ids，比如timestamps或者vector clock，使用max函数进行merge

Multi-valued -register(MV-Register)

类似G-Counter，每次assign都会新增一个版本，使用max函数进行merge

Sets

Grow-only set(G-Set)

使用union操作进行merge

Two-phase set(2P-Set)

使用两个G-Set来实现，一个addSet用于添加，一个removeSet用于移除

Last write wins set(LWW-element Set)

类似2P-Set，有一个addSet，一个removeSet，不过对于元素增加了timestamp信息，且timestamp较高的add及remove优先

Observed-remove set(OR-Set)

类似2P-Set，有一个addSet，一个removeSet，不过对于元素增加了tag信息，对于同一个tag的操作add优先于remove

其他数据类型

Array

关于Array有Replicated Growable Array(RGA)，支持addRight(v, a)操作

Graph

Graph可以基于Sets结构实现，不过需要处理并发的addEdge(u, v)、removeVertex(u)操作

Map

Map需要处理并发的put、rmv操作

实例

这里使用wurmloch-crdt的实现

GCounter

wurmloch-crdt/src/main/java/com/netopyr/wurmloch/crdt/GCounter.java

public class GCounter extends AbstractCrdt<GCounter, GCounter.UpdateCommand> {

    // fields
    private Map<String, Long> entries = HashMap.empty();


    // constructor
    public GCounter(String nodeId, String crdtId) {
        super(nodeId, crdtId, BehaviorProcessor.create());
    }


    // crdt
    @Override
    protected Option<UpdateCommand> processCommand(UpdateCommand command) {
        final Map<String, Long> oldEntries = entries;
        entries = entries.merge(command.entries, Math::max);
        return entries.equals(oldEntries)? Option.none() : Option.of(new UpdateCommand(crdtId, entries));
    }


    // core functionality
    public long get() {
        return entries.values().sum().longValue();
    }

    public void increment() {
        increment(1L);
    }

    public void increment(long value) {
        if (value < 1L) {
            throw new IllegalArgumentException("Value needs to be a positive number.");
        }
        entries = entries.put(nodeId, entries.get(nodeId).getOrElse(0L) + value);
        commands.onNext(new UpdateCommand(
                crdtId,
                entries
        ));
    }

    //......
}

这里GCounter使用HashMap来实现，其processCommand接收UpdateCommand，采用HashMap的merge方法进行合并，其中BiFunction为Math::max；get()方法对entries.values()进行sum得出结果

PNCounter

wurmloch-crdt/src/main/java/com/netopyr/wurmloch/crdt/PNCounter.java

public class PNCounter extends AbstractCrdt<PNCounter, PNCounter.UpdateCommand> {

    // fields
    private Map<String, Long> pEntries = HashMap.empty();
    private Map<String, Long> nEntries = HashMap.empty();


    // constructor
    public PNCounter(String nodeId, String crtdId) {
        super(nodeId, crtdId, BehaviorProcessor.create());
    }


    // crdt
    protected Option<UpdateCommand> processCommand(PNCounter.UpdateCommand command) {
        final Map<String, Long> oldPEntries = pEntries;
        final Map<String, Long> oldNEntries = nEntries;
        pEntries = pEntries.merge(command.pEntries, Math::max);
        nEntries = nEntries.merge(command.nEntries, Math::max);
        return pEntries.equals(oldPEntries) && nEntries.equals(oldNEntries)? Option.none()
                : Option.of(new UpdateCommand(crdtId, pEntries, nEntries));
    }


    // core functionality
    public long get() {
        return pEntries.values().sum().longValue() - nEntries.values().sum().longValue();
    }

    public void increment() {
        increment(1L);
    }

    public void increment(long value) {
        if (value < 1L) {
            throw new IllegalArgumentException("Value needs to be a positive number.");
        }
        pEntries = pEntries.put(nodeId, pEntries.get(nodeId).getOrElse(0L) + value);
        commands.onNext(new UpdateCommand(
                crdtId,
                pEntries,
                nEntries
        ));
    }

    public void decrement() {
        decrement(1L);
    }

    public void decrement(long value) {
        if (value < 1L) {
            throw new IllegalArgumentException("Value needs to be a positive number.");
        }
        nEntries = nEntries.put(nodeId, nEntries.get(nodeId).getOrElse(0L) + value);
        commands.onNext(new UpdateCommand(
                crdtId,
                pEntries,
                nEntries
        ));
    }

    //......
}

这里PNCounter使用了两个HashMap来实现，其中pEntries用于递增，nEntries用于递减；processCommand采用HashMap的merge方法分别对pEntries及nEntries进行合并，其中BiFunction为Math::max；get()方法则使用pEntries.values()的sum减去nEntries.values()的sum

LWWRegister

wurmloch-crdt/src/main/java/com/netopyr/wurmloch/crdt/LWWRegister.java

public class LWWRegister<T> extends AbstractCrdt<LWWRegister<T>, LWWRegister.SetCommand<T>> {

    // fields
    private T value;
    private StrictVectorClock clock;


    // constructor
    public LWWRegister(String nodeId, String crdtId) {
        super(nodeId, crdtId, BehaviorProcessor.create());
        this.clock = new StrictVectorClock(nodeId);
    }


    // crdt
    protected Option<SetCommand<T>> processCommand(SetCommand<T> command) {
        if (clock.compareTo(command.getClock()) < 0) {
            clock = clock.merge(command.getClock());
            doSet(command.getValue());
            return Option.of(command);
        }
        return Option.none();
    }


    // core functionality
    public T get() {
        return value;
    }

    public void set(T newValue) {
        if (! Objects.equals(value, newValue)) {
            doSet(newValue);
            commands.onNext(new SetCommand<>(
                    crdtId,
                    value,
                    clock
            ));
        }
    }


    // implementation
    private void doSet(T value) {
        this.value = value;
        clock = clock.increment();
    }

    //......
}

这里LWWRegister使用了StrictVectorClock，其processCommand接收SetCommand，它在本地clock小于command.getClock()会先merge clock，然后执行doSet更新value，同时更新本地为clock.increment()

MVRegister

wurmloch-crdt/src/main/java/com/netopyr/wurmloch/crdt/MVRegister.java

public class MVRegister<T> extends AbstractCrdt<MVRegister<T>, MVRegister.SetCommand<T>> {

    // fields
    private Array<Entry<T>> entries = Array.empty();


    // constructor
    public MVRegister(String nodeId, String crdtId) {
        super(nodeId, crdtId, ReplayProcessor.create());
    }


    // crdt
    protected Option<SetCommand<T>> processCommand(SetCommand<T> command) {
        final Entry<T> newEntry = command.getEntry();
        if (!entries.exists(entry -> entry.getClock().compareTo(newEntry.getClock()) > 0
                || entry.getClock().equals(newEntry.getClock()))) {
            final Array<Entry<T>> newEntries = entries
                    .filter(entry -> entry.getClock().compareTo(newEntry.getClock()) == 0)
                    .append(newEntry);
            doSet(newEntries);
            return Option.of(command);
        }
        return Option.none();
    }


    // core functionality
    public Array<T> get() {
        return entries.map(Entry::getValue);
    }

    public void set(T newValue) {
        if (entries.size() != 1 || !Objects.equals(entries.head().getValue(), newValue)) {
            final Entry<T> newEntry = new Entry<>(newValue, incVV());
            doSet(Array.of(newEntry));
            commands.onNext(new SetCommand<>(
                    crdtId,
                    newEntry
            ));
        }
    }


    // implementation
    private void doSet(Array<Entry<T>> newEntries) {
        entries = newEntries;
    }

    private VectorClock incVV() {
        final Array<VectorClock> clocks = entries.map(Entry::getClock);
        final VectorClock mergedClock = clocks.reduceOption(VectorClock::merge).getOrElse(new VectorClock());
        return mergedClock.increment(nodeId);
    }

    //......
}

这里LWWRegister使用了Array以及StrictVectorClock，其processCommand接收SetCommand，它在没有entry的clock大于或者equals newEntry.getClock()时会创建新的newEntries，该newEntries不包含clock与newEntry.getClock()等值的entry，同时加入了newEntry，最后使用doSet赋值给本地的entries

GSet

wurmloch-crdt/src/main/java/com/netopyr/wurmloch/crdt/GSet.java

public class GSet<E> extends AbstractSet<E> implements Crdt<GSet<E>, GSet.AddCommand<E>> {

    // fields
    private final String crdtId;
    private final Set<E> elements = new HashSet<>();
    private final Processor<AddCommand<E>, AddCommand<E>> commands = ReplayProcessor.create();


    // constructor
    public GSet(String crdtId) {
        this.crdtId = Objects.requireNonNull(crdtId, "Id must not be null");
    }


    // crdt
    @Override
    public String getCrdtId() {
        return crdtId;
    }

    @Override
    public void subscribe(Subscriber<? super AddCommand<E>> subscriber) {
        commands.subscribe(subscriber);
    }

    @Override
    public void subscribeTo(Publisher<? extends AddCommand<E>> publisher) {
        Flowable.fromPublisher(publisher).onTerminateDetach().subscribe(command -> {
            final Option<AddCommand<E>> newCommand = processCommand(command);
            newCommand.peek(commands::onNext);
        });
    }

    private Option<AddCommand<E>> processCommand(AddCommand<E> command) {
        return doAdd(command.getElement())? Option.of(command) : Option.none();
    }


    // core functionality
    @Override
    public int size() {
        return elements.size();
    }

    @Override
    public Iterator<E> iterator() {
        return new GSetIterator();
    }

    @Override
    public boolean add(E element) {
        commands.onNext(new AddCommand<>(crdtId, element));
        return doAdd(element);
    }


    // implementation
    private synchronized boolean doAdd(E element) {
        return elements.add(element);
    }

    //......
}

这里GSet使用Set来实现，其processCommand接收AddCommand，其doAdd方法使用Set的add进行合并

TwoPhaseSet

wurmloch-crdt/src/main/java/com/netopyr/wurmloch/crdt/TwoPSet.java

public class TwoPSet<E> extends AbstractSet<E> implements Crdt<TwoPSet<E>, TwoPSet.TwoPSetCommand<E>> {

    // fields
    private final String crdtId;
    private final Set<E> elements = new HashSet<>();
    private final Set<E> tombstone = new HashSet<>();
    private final Processor<TwoPSetCommand<E>, TwoPSetCommand<E>> commands = ReplayProcessor.create();


    // constructor
    public TwoPSet(String crdtId) {
        this.crdtId = Objects.requireNonNull(crdtId, "CrdtId must not be null");
    }


    // crdt
    @Override
    public String getCrdtId() {
        return crdtId;
    }

    @Override
    public void subscribe(Subscriber<? super TwoPSetCommand<E>> subscriber) {
        commands.subscribe(subscriber);
    }

    @Override
    public void subscribeTo(Publisher<? extends TwoPSetCommand<E>> publisher) {
        Flowable.fromPublisher(publisher).onTerminateDetach().subscribe(command -> {
            final Option<TwoPSetCommand<E>> newCommand = processCommand(command);
            newCommand.peek(commands::onNext);

        });
    }

    private Option<TwoPSetCommand<E>> processCommand(TwoPSetCommand<E> command) {
        if (command instanceof TwoPSet.AddCommand) {
            return doAdd(((TwoPSet.AddCommand<E>) command).getElement())? Option.of(command) : Option.none();
        } else if (command instanceof TwoPSet.RemoveCommand) {
            return doRemove(((TwoPSet.RemoveCommand<E>) command).getElement())? Option.of(command) : Option.none();
        }
        return Option.none();
    }


    // core functionality
    @Override
    public int size() {
        return elements.size();
    }

    @Override
    public Iterator<E> iterator() {
        return new TwoPSetIterator();
    }

    @Override
    public boolean add(E value) {
        final boolean changed = doAdd(value);
        if (changed) {
            commands.onNext(new TwoPSet.AddCommand<>(crdtId, value));
        }
        return changed;
    }


    // implementation
    private boolean doAdd(E value) {
        return !tombstone.contains(value) && elements.add(value);
    }

    private boolean doRemove(E value) {
        return tombstone.add(value) | elements.remove(value);
    }

    //......
}

这里TwoPSet使用了两个Set来实现，其中elements用于add，tombstone用于remove；其processCommand方法接收TwoPSetCommand，它有TwoPSet.AddCommand及TwoPSet.RemoveCommand两个子类，两个command分别对应doAdd及doRemove方法；doAdd要求tombstone不包含该元素并往elements添加元素；doRemove往tombstone添加元素并从elements移除元素

ORSet

wurmloch-crdt/src/main/java/com/netopyr/wurmloch/crdt/ORSet.java

public class ORSet<E> extends AbstractSet<E> implements Crdt<ORSet<E>, ORSet.ORSetCommand<E>> /*, ObservableSet<E> */ {

    // fields
    private final String crdtId;
    private final Set<Element<E>> elements = new HashSet<>();
    private final Set<Element<E>> tombstone = new HashSet<>();
    private final Processor<ORSetCommand<E>, ORSetCommand<E>> commands = ReplayProcessor.create();


    // constructor
    public ORSet(String crdtId) {
        this.crdtId = Objects.requireNonNull(crdtId, "Id must not be null");
    }


    // crdt
    @Override
    public String getCrdtId() {
        return crdtId;
    }

    @Override
    public void subscribe(Subscriber<? super ORSetCommand<E>> subscriber) {
        commands.subscribe(subscriber);
    }

    @Override
    public void subscribeTo(Publisher<? extends ORSetCommand<E>> publisher) {
        Flowable.fromPublisher(publisher).onTerminateDetach().subscribe(command -> {
            final Option<ORSetCommand<E>> newCommand = processCommand(command);
            newCommand.peek(commands::onNext);

        });
    }

    private Option<ORSetCommand<E>> processCommand(ORSetCommand<E> command) {
        if (command instanceof AddCommand) {
            return doAdd(((AddCommand<E>) command).getElement())? Option.of(command) : Option.none();
        } else if (command instanceof RemoveCommand) {
            return doRemove(((RemoveCommand<E>) command).getElements())? Option.of(command) : Option.none();
        }
        return Option.none();
    }


    // core functionality
    @Override
    public int size() {
        return doElements().size();
    }

    @Override
    public Iterator<E> iterator() {
        return new ORSetIterator();
    }

    @Override
    public boolean add(E value) {
        final boolean contained = doContains(value);
        prepareAdd(value);
        return !contained;
    }


    // implementation
    private static <U> Predicate<Element<U>> matches(U value) {
        return element -> Objects.equals(value, element.getValue());
    }

    private synchronized boolean doContains(E value) {
        return elements.parallelStream().anyMatch(matches(value));
    }

    private synchronized Set<E> doElements() {
        return elements.parallelStream().map(Element::getValue).collect(Collectors.toSet());
    }

    private synchronized void prepareAdd(E value) {
        final Element<E> element = new Element<>(value, UUID.randomUUID());
        commands.onNext(new AddCommand<>(getCrdtId(), element));
        doAdd(element);
    }

    private synchronized boolean doAdd(Element<E> element) {
        return (elements.add(element) | elements.removeAll(tombstone)) && (!tombstone.contains(element));
    }

    private synchronized void prepareRemove(E value) {
        final Set<Element<E>> removes = elements.parallelStream().filter(matches(value)).collect(Collectors.toSet());
        commands.onNext(new RemoveCommand<>(getCrdtId(), removes));
        doRemove(removes);
    }

    private synchronized boolean doRemove(Collection<Element<E>> removes) {
        return elements.removeAll(removes) | tombstone.addAll(removes);
    }

    //......
}

这里ORSet使用了两个Set来实现，其中elements用于add，tombstone用于remove；其processCommand方法接收ORSetCommand，它有ORSet.AddCommand及ORSet.RemoveCommand两个子类，两个command分别对应doAdd及doRemove方法；doAdd方法首先执行prepareAdd使用UUID创建element，然后往elements添加元素，移除tombstone；doRemove方法首先执行prepareRemove找出需要移除的element集合removes，然后从elements移除removes并往tombstone添加removes

小结

CRDT是Conflict-free Replicated Data Type的简称，也称为a passive synchronisation，即免冲突的可复制的数据类型；具体实现上可以分为State-based的CvRDT、Operation-based的CmRDT、Delta-based、Pure operation-based等
CvRDT即Convergent Replicated Data Type的简称，也称为an active synchronisation，通常在诸如NFS, AFS, Coda的文件系统以及诸如Riak, Dynamo的KV存储中使用；CvRDT即Convergent Replicated Data Type的简称，也称为an active synchronisation，通常在诸如NFS, AFS, Coda的文件系统以及诸如Riak, Dynamo的KV存储中使用
对于CRDT来说，为了实现Conflict-free Replicated要求对数据结构的操作是Convergent，即需要满足Associative、Commutative及Idempotent；CRDT的基本数据类型有Counters(G-Counter、PN-Counter)、Registers(LWW-Register、MV-Register)、Sets(`G-Set、2P-Set、LWW-element Set、OR-Set``)

doc

原创声明：本文系作者授权腾讯云开发者社区发表，未经许可，不得转载。

如有侵权，请联系 cloudcommunity@tencent.com 删除。

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原创声明：本文系作者授权腾讯云开发者社区发表，未经许可，不得转载。

如有侵权，请联系 cloudcommunity@tencent.com 删除。

分布式

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热度

聊聊CRDT

聊聊CRDT

序

CRDT

State-based(`CvRDT`)

Operation-based(`CmRDT`)

Delta-based

Pure operation-based

Convergent Operations

基本数据类型

Counters

Registers

Sets

其他数据类型

Array

Graph

Map

实例

GCounter

PNCounter

LWWRegister

MVRegister

GSet

TwoPhaseSet

ORSet

小结

doc

社区

活动

资源

关于

腾讯云开发者

热门产品

热门推荐

更多推荐

聊聊CRDT

聊聊CRDT

序

CRDT

State-based(CvRDT)

Operation-based(CmRDT)

Delta-based

Pure operation-based

Convergent Operations

基本数据类型

Counters

Registers

Sets

其他数据类型

Array

Graph

Map

实例

GCounter

PNCounter

LWWRegister

MVRegister

GSet

TwoPhaseSet

ORSet

小结

doc

社区

活动

资源

关于

腾讯云开发者

热门产品

热门推荐

更多推荐

State-based(`CvRDT`)

Operation-based(`CmRDT`)