Examples of org.apache.cassandra.dht.Token$TokenFactory

org.apache.cassandra.dht.Token

        validator.prepare(store);
        validator.completeTree();
        MerkleTree rtree = validator.tree;


        // change a range in one of the trees
        Token ltoken = StorageService.getPartitioner().midpoint(local_range.left, local_range.right);
        ltree.invalidate(ltoken);
        MerkleTree.TreeRange changed = ltree.get(ltoken);
        changed.hash("non-empty hash!".getBytes());


        Set<Range> interesting = new HashSet<Range>();

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        IPartitioner part = new RandomPartitioner();
        MerkleTree mt = new MerkleTree(part, FULL_RANGE, MerkleTree.RECOMMENDED_DEPTH, Integer.MAX_VALUE);
        List<Token> tokens = new ArrayList<Token>();
        for (int i = 0; i < 10; i++)
        {
            Token t = part.getRandomToken();
            tokens.add(t);
            mt.split(t);
        }
        AntiEntropyService.Validator v1 = new AntiEntropyService.Validator(Statics.req, mt);
        DataOutputStream out = getOutput("service.TreeResponse.bin");

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     * @param schemaCfName The name of the ColumnFamily responsible for part of the schema (keyspace, ColumnFamily, columns)
     * @return low-level schema representation (each row represents individual Keyspace or ColumnFamily)
     */
    public static List<Row> serializedSchema(String schemaCfName)
    {
        Token minToken = StorageService.getPartitioner().getMinimumToken();


        return schemaCFS(schemaCfName).getRangeSlice(null,
                                                     new Range<RowPosition>(minToken.minKeyBound(),
                                                                            minToken.maxKeyBound()),
                                                     Integer.MAX_VALUE,
                                                     new IdentityQueryFilter(),
                                                     null);
    }

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            Set<String> racks = new HashSet<String>();
            // first pass: only collect replicas on unique racks
            for (Iterator<Token> iter = TokenMetadata.ringIterator(dcTokens.sortedTokens(), searchToken, false);
                 dcEndpoints.size() < dcReplicas && iter.hasNext(); )
            {
                Token token = iter.next();
                InetAddress endpoint = dcTokens.getEndpoint(token);
                String rack = snitch.getRack(endpoint);
                if (!racks.contains(rack))
                {
                    dcEndpoints.add(endpoint);
                    racks.add(rack);
                }
            }


            // second pass: if replica count has not been achieved from unique racks, add nodes from duplicate racks
            for (Iterator<Token> iter = TokenMetadata.ringIterator(dcTokens.sortedTokens(), searchToken, false);
                 dcEndpoints.size() < dcReplicas && iter.hasNext(); )
            {
                Token token = iter.next();
                InetAddress endpoint = dcTokens.getEndpoint(token);
                if (!dcEndpoints.contains(endpoint))
                    dcEndpoints.add(endpoint);
            }

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    public static void sortSampledKeys(List<DecoratedKey> keys, Range<Token> range)
    {
        if (range.left.compareTo(range.right) >= 0)
        {
            // range wraps.  have to be careful that we sort in the same order as the range to find the right midpoint.
            final Token right = range.right;
            Comparator<DecoratedKey> comparator = new Comparator<DecoratedKey>()
            {
                public int compare(DecoratedKey o1, DecoratedKey o2)
                {
                    if ((right.compareTo(o1.token) < 0 && right.compareTo(o2.token) < 0)
                        || (right.compareTo(o1.token) > 0 && right.compareTo(o2.token) > 0))
                    {
                        // both tokens are on the same side of the wrap point
                        return o1.compareTo(o2);
                    }
                    return o2.compareTo(o1);

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    }


    private static Collection<InetAddress> getWriteEndpoints(String table, ByteBuffer key)
    {
        StorageService ss = StorageService.instance;
        Token tk = StorageService.getPartitioner().getToken(key);
        List<InetAddress> naturalEndpoints = ss.getNaturalEndpoints(table, tk);
        return ss.getTokenMetadata().getWriteEndpoints(tk, table, naturalEndpoints);
    }

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             *     split remainder to A=[DK(10, 'foo'), 15] and B=(15, DK(20, 'bar')]. But since we can't mix
             *     tokens and keys at the same time in a range, we uses 15.upperBoundKey() to have A include all
             *     keys having 15 as token and B include none of those (since that is what our node owns).
             * asSplitValue() abstracts that choice.
             */
            Token upperBoundToken = ringIter.next();
            T upperBound = (T)upperBoundToken.upperBound(queryRange.left.getClass());
            if (!remainder.left.equals(upperBound) && !remainder.contains(upperBound))
                // no more splits
                break;
            Pair<AbstractBounds<T>,AbstractBounds<T>> splits = remainder.split(upperBound);
            if (splits == null)

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    private Hashable initHelper(Token left, Token right, byte depth, byte max)
    {
        if (depth == max)
            // we've reached the leaves
            return new Leaf();
        Token midpoint = partitioner.midpoint(left, right);


        if (midpoint.equals(left) || midpoint.equals(right))
            return new Leaf();


        Hashable lchild =  initHelper(left, midpoint, inc(depth), max);
        Hashable rchild =  initHelper(midpoint, right, inc(depth), max);
        return new Inner(midpoint, lchild, rchild);

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     * Takes two trees and a range for which they have hashes, but are inconsistent.
     * @return FULLY_INCONSISTENT if active is inconsistent, PARTIALLY_INCONSISTENT if only a subrange is inconsistent.
     */
    static int differenceHelper(MerkleTree ltree, MerkleTree rtree, List<TreeRange> diff, TreeRange active)
    {
        Token midpoint = ltree.partitioner().midpoint(active.left, active.right);
        TreeRange left = new TreeRange(null, active.left, midpoint, inc(active.depth), null);
        TreeRange right = new TreeRange(null, midpoint, active.right, inc(active.depth), null);
        byte[] lhash;
        byte[] rhash;

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        if (depth >= hashdepth)
            throw new StopRecursion.TooDeep();


        if (hashable instanceof Leaf)
        {
            Token midpoint = partitioner.midpoint(pleft, pright);


            // We should not create a non-sensical range where start and end are the same token (this is non-sensical because range are
            // start exclusive). Note that we shouldn't hit that unless the full range is very small or we are fairly deep
            if (midpoint.equals(pleft) || midpoint.equals(pright))
                throw new StopRecursion.TooDeep();


            // split
            size++;
            return new Inner(midpoint, new Leaf(), new Leaf());

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