Package org.apache.cassandra.dht

Examples of org.apache.cassandra.dht.RandomPartitioner

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    @Before
    public void clear()
    {
        TOKEN_SCALE = new BigInteger("8");
        partitioner = new RandomPartitioner();
        mt = new MerkleTree(partitioner, fullRange(), RECOMMENDED_DEPTH, Integer.MAX_VALUE);
    }
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    @Before
    public void setup() throws IOException, ConfigurationException
    {
        tmd.clearUnsafe();
        IPartitioner partitioner = new RandomPartitioner();

        oldPartitioner = ss.setPartitionerUnsafe(partitioner);

        // create a ring of 5 nodes
        Util.createInitialRing(ss, partitioner, endpointTokens, keyTokens, hosts, 6);
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        }
    }

    private void testValidationCompleteWrite() throws IOException
    {
        IPartitioner p = new RandomPartitioner();
        // empty validation
        MerkleTree mt = new MerkleTree(p, FULL_RANGE, MerkleTree.RECOMMENDED_DEPTH, (int) Math.pow(2, 15));
        Validator v0 = new Validator(DESC, FBUtilities.getBroadcastAddress(),  -1);
        ValidationComplete c0 = new ValidationComplete(DESC, mt);

        // validation with a tree
        mt = new MerkleTree(p, FULL_RANGE, MerkleTree.RECOMMENDED_DEPTH, Integer.MAX_VALUE);
        for (int i = 0; i < 10; i++)
            mt.split(p.getRandomToken());
        Validator v1 = new Validator(DESC, FBUtilities.getBroadcastAddress(), -1);
        ValidationComplete c1 = new ValidationComplete(DESC, mt);

        // validation failed
        ValidationComplete c3 = new ValidationComplete(DESC);
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public class IndexSummaryTest
{
    @Test
    public void testAddEmptyKey() throws Exception
    {
        IPartitioner p = new RandomPartitioner();
        IndexSummaryBuilder builder = new IndexSummaryBuilder(1);
        builder.maybeAddEntry(p.decorateKey(ByteBufferUtil.EMPTY_BYTE_BUFFER), 0);
        IndexSummary summary = builder.build(p);
        assertEquals(1, summary.size());
        assertEquals(0, summary.getPosition(0));
        assertArrayEquals(new byte[0], summary.getKey(0));
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        // empty validation
        Validator v0 = new Validator(DESC, FBUtilities.getBroadcastAddress(),  -1);
        ValidationComplete c0 = new ValidationComplete(DESC, v0.tree);

        // validation with a tree
        IPartitioner p = new RandomPartitioner();
        MerkleTree mt = new MerkleTree(p, FULL_RANGE, MerkleTree.RECOMMENDED_DEPTH, Integer.MAX_VALUE);
        for (int i = 0; i < 10; i++)
            mt.split(p.getRandomToken());
        Validator v1 = new Validator(DESC, FBUtilities.getBroadcastAddress(), mt, -1);
        ValidationComplete c1 = new ValidationComplete(DESC, v1.tree);

        // validation failed
        ValidationComplete c3 = new ValidationComplete(DESC);
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{
    @Test
    public void testBigIntegerStorageEndPoints()
    {
        TokenMetadata tmd = new TokenMetadata();
        IPartitioner partitioner = new RandomPartitioner();
        IReplicaPlacementStrategy strategy = new RackUnawareStrategy(tmd, partitioner, 3, 7000);

        List<Token> endPointTokens = new ArrayList<Token>();
        List<Token> keyTokens = new ArrayList<Token>();
        for (int i = 0; i < 5; i++) {
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    {
        // empty validation
        AntiEntropyService.Validator v0 = new AntiEntropyService.Validator(Statics.req);

        // validation with a tree
        IPartitioner p = new RandomPartitioner();
        MerkleTree mt = new MerkleTree(p, FULL_RANGE, MerkleTree.RECOMMENDED_DEPTH, Integer.MAX_VALUE);
        for (int i = 0; i < 10; i++)
            mt.split(p.getRandomToken());
        AntiEntropyService.Validator v1 = new AntiEntropyService.Validator(Statics.req, mt);

        DataOutputStream out = getOutput("service.TreeResponse.bin");
        AntiEntropyService.TreeResponseVerbHandler.SERIALIZER.serialize(v0, out, getVersion());
        AntiEntropyService.TreeResponseVerbHandler.SERIALIZER.serialize(v1, out, getVersion());
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    @Before
    public void clear()
    {
        TOKEN_SCALE = new BigInteger("8");
        partitioner = new RandomPartitioner();
        mt = new MerkleTree(partitioner, fullRange(), RECOMMENDED_DEPTH, Integer.MAX_VALUE);
    }
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    }

    private void testTreeResponseWrite() throws IOException
    {
        AntiEntropyService.Validator v0 = new AntiEntropyService.Validator(Statics.req);
        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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    @Before
    public void clear()
    {
        TOKEN_SCALE = new BigInteger("8");
        partitioner = new RandomPartitioner();
        mt = new MerkleTree(partitioner, fullRange(), RECOMMENDED_DEPTH, Integer.MAX_VALUE);
    }
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Related Classes of org.apache.cassandra.dht.RandomPartitioner

  • org.apache.cassandra.db.BufferDecoratedKey
  • org.apache.cassandra.db.DecoratedKey
  • org.apache.cassandra.io.sstable.IndexSummaryTest
  • org.apache.cassandra.io.sstable.SSTableSimpleWriterTest
  • org.apache.cassandra.locator.RackUnawareStrategyTest
  • org.apache.cassandra.MutationTest
  • org.apache.cassandra.service.ConsistencyLevelTest
  • org.apache.cassandra.service.MoveTest
  • org.apache.cassandra.service.RangeSliceResponseResolverTest
  • org.apache.cassandra.service.RemoveTest
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