Package org.apache.cassandra.dht

Examples of org.apache.cassandra.dht.Token

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            throw new org.apache.cassandra.exceptions.InvalidRequestException("start token + end key is not a supported key range");

        if (range.start_key != null && range.end_key != null)
        {
            IPartitioner p = StorageService.getPartitioner();
            Token startToken = p.getToken(range.start_key);
            Token endToken = p.getToken(range.end_key);
            if (startToken.compareTo(endToken) > 0 && !endToken.isMinimum(p))
            {
                if (p instanceof RandomPartitioner)
                    throw new org.apache.cassandra.exceptions.InvalidRequestException("start key's md5 sorts after end key's md5.  this is not allowed; you probably should not specify end key at all, under RandomPartitioner");
                else
                    throw new org.apache.cassandra.exceptions.InvalidRequestException("start key must sort before (or equal to) finish key in your partitioner!");
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            catch (CharacterCodingException e)
            {
                throw new RuntimeException(e);
            }
            // serialize the old token as a collection of (one )tokens.
            Token token = StorageService.getPartitioner().getTokenFactory().fromByteArray(oldColumns.next().value());
            String tokenBytes = tokensAsSet(Collections.singleton(token));
            // (assume that any node getting upgraded was bootstrapped, since that was stored in a separate row for no particular reason)
            String req = "INSERT INTO system.%s (key, cluster_name, tokens, bootstrapped) VALUES ('%s', '%s', %s, '%s')";
            processInternal(String.format(req, LOCAL_CF, LOCAL_KEY, clusterName, tokenBytes, BootstrapState.COMPLETED.name()));
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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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    throws UnavailableException, OverloadedException, IOException
    {
        String table = mutation.getTable();
        AbstractReplicationStrategy rs = Table.open(table).getReplicationStrategy();

        Token tk = StorageService.getPartitioner().getToken(mutation.key());
        List<InetAddress> naturalEndpoints = StorageService.instance.getNaturalEndpoints(table, tk);
        Collection<InetAddress> pendingEndpoints = StorageService.instance.getTokenMetadata().pendingEndpointsFor(tk, table);

        AbstractWriteResponseHandler responseHandler = rs.getWriteResponseHandler(naturalEndpoints, pendingEndpoints, consistency_level, callback, writeType);
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    // same as above except does not initiate writes (but does perfrom availability checks).
    private static WriteResponseHandlerWrapper wrapResponseHandler(RowMutation mutation, ConsistencyLevel consistency_level, WriteType writeType)
    {
        AbstractReplicationStrategy rs = Table.open(mutation.getTable()).getReplicationStrategy();
        String table = mutation.getTable();
        Token tk = StorageService.getPartitioner().getToken(mutation.key());
        List<InetAddress> naturalEndpoints = StorageService.instance.getNaturalEndpoints(table, tk);
        Collection<InetAddress> pendingEndpoints = StorageService.instance.getTokenMetadata().pendingEndpointsFor(tk, table);
        AbstractWriteResponseHandler responseHandler = rs.getWriteResponseHandler(naturalEndpoints, pendingEndpoints, consistency_level, null, writeType);
        return new WriteResponseHandlerWrapper(responseHandler, mutation);
    }
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        else
        {
            // Exit now if we can't fulfill the CL here instead of forwarding to the leader replica
            String table = cm.getTable();
            AbstractReplicationStrategy rs = Table.open(table).getReplicationStrategy();
            Token tk = StorageService.getPartitioner().getToken(cm.key());
            List<InetAddress> naturalEndpoints = StorageService.instance.getNaturalEndpoints(table, tk);
            Collection<InetAddress> pendingEndpoints = StorageService.instance.getTokenMetadata().pendingEndpointsFor(tk, table);

            rs.getWriteResponseHandler(naturalEndpoints, pendingEndpoints, cm.consistency(), null, WriteType.COUNTER).assureSufficientLiveNodes();
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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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         * Thus, the correct approach is to pick sstables overlapping anything between the first key in all
         * the candidate sstables, and the last.
         */
        Iterator<SSTableReader> iter = candidates.iterator();
        SSTableReader sstable = iter.next();
        Token first = sstable.first.token;
        Token last = sstable.last.token;
        while (iter.hasNext())
        {
            sstable = iter.next();
            first = first.compareTo(sstable.first.token) <= 0 ? first : sstable.first.token;
            last = last.compareTo(sstable.last.token) >= 0 ? last : sstable.last.token;
        }
        return overlapping(first, last, others);
    }
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    throws UnavailableException, OverloadedException, IOException
    {
        String table = mutation.getTable();
        AbstractReplicationStrategy rs = Table.open(table).getReplicationStrategy();

        Token tk = StorageService.getPartitioner().getToken(mutation.key());
        List<InetAddress> naturalEndpoints = StorageService.instance.getNaturalEndpoints(table, tk);
        Collection<InetAddress> pendingEndpoints = StorageService.instance.getTokenMetadata().pendingEndpointsFor(tk, table);

        AbstractWriteResponseHandler responseHandler = rs.getWriteResponseHandler(naturalEndpoints, pendingEndpoints, consistency_level, callback, writeType);
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    // same as above except does not initiate writes (but does perfrom availability checks).
    private static WriteResponseHandlerWrapper wrapResponseHandler(RowMutation mutation, ConsistencyLevel consistency_level, WriteType writeType)
    {
        AbstractReplicationStrategy rs = Table.open(mutation.getTable()).getReplicationStrategy();
        String table = mutation.getTable();
        Token tk = StorageService.getPartitioner().getToken(mutation.key());
        List<InetAddress> naturalEndpoints = StorageService.instance.getNaturalEndpoints(table, tk);
        Collection<InetAddress> pendingEndpoints = StorageService.instance.getTokenMetadata().pendingEndpointsFor(tk, table);
        AbstractWriteResponseHandler responseHandler = rs.getWriteResponseHandler(naturalEndpoints, pendingEndpoints, consistency_level, null, writeType);
        return new WriteResponseHandlerWrapper(responseHandler, mutation);
    }
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Related Classes of org.apache.cassandra.dht.Token

  • com.stratio.cassandra.index.FullKeyMapper
  • com.stratio.cassandra.index.RowComparatorNatural
  • com.stratio.cassandra.index.TokenMapperGenericSorter
  • org.apache.cassandra.avro.AvroValidation
  • org.apache.cassandra.client.RingCache
  • org.apache.cassandra.cql.QueryProcessor
  • org.apache.cassandra.db.BatchlogManager
  • org.apache.cassandra.db.BatchlogManager$Batch
  • org.apache.cassandra.db.ColumnFamilyStore
  • org.apache.cassandra.db.compaction.LeveledManifest
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