Examples with RandomPartitioner org.apache.cassandra.dht.RandomPartitioner used on opensource projects

Example 1 with RandomPartitioner

use of org.apache.cassandra.dht.RandomPartitioner in project cassandra by apache.

the class IndexSummaryTest method testAddEmptyKey.

@Test
public void testAddEmptyKey() throws Exception {
    IPartitioner p = new RandomPartitioner();
    try (IndexSummaryBuilder builder = new IndexSummaryBuilder(1, 1, BASE_SAMPLING_LEVEL)) {
        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));
        DataOutputBuffer dos = new DataOutputBuffer();
        IndexSummary.serializer.serialize(summary, dos);
        DataInputStream dis = new DataInputStream(new ByteArrayInputStream(dos.toByteArray()));
        IndexSummary loaded = IndexSummary.serializer.deserialize(dis, p, 1, 1);
        assertEquals(1, loaded.size());
        assertEquals(summary.getPosition(0), loaded.getPosition(0));
        assertArrayEquals(summary.getKey(0), summary.getKey(0));
        summary.close();
        loaded.close();
    }
}

Example 2 with RandomPartitioner

use of org.apache.cassandra.dht.RandomPartitioner in project eiger by wlloyd.

the class ThriftValidation method validateKeyRange.

public static void validateKeyRange(CFMetaData metadata, ByteBuffer superColumn, KeyRange range) throws InvalidRequestException {
    if ((range.start_key == null) != (range.end_key == null)) {
        throw new InvalidRequestException("start key and end key must either both be non-null, or both be null");
    }
    if ((range.start_token == null) != (range.end_token == null)) {
        throw new InvalidRequestException("start token and end token must either both be non-null, or both be null");
    }
    if ((range.start_key == null) == (range.start_token == null)) {
        throw new InvalidRequestException("exactly one of {start key, end key} or {start token, end token} must be specified");
    }
    if (range.start_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 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 InvalidRequestException("start key must sort before (or equal to) finish key in your partitioner!");
        }
    }
    validateFilterClauses(metadata, range.row_filter);
    if (!isEmpty(range.row_filter) && superColumn != null) {
        throw new InvalidRequestException("super columns are not yet supported for indexing");
    }
    if (!isEmpty(range.row_filter) && range.start_key == null) {
        // See KeySearcher.search()
        throw new InvalidRequestException("filtered queries must use concrete keys rather than tokens");
    }
    if (range.count <= 0) {
        throw new InvalidRequestException("maxRows must be positive");
    }
}

Example 3 with RandomPartitioner

use of org.apache.cassandra.dht.RandomPartitioner in project eiger by wlloyd.

the class MerkleTreeTest method clear.

@Before
public void clear() {
    TOKEN_SCALE = new BigInteger("8");
    partitioner = new RandomPartitioner();
    mt = new MerkleTree(partitioner, fullRange(), RECOMMENDED_DEPTH, Integer.MAX_VALUE);
}

Example 4 with RandomPartitioner

use of org.apache.cassandra.dht.RandomPartitioner in project cassandra by apache.

the class FailureDetectorTest method testConvictAfterLeft.

@Test
public void testConvictAfterLeft() throws UnknownHostException {
    StorageService ss = StorageService.instance;
    TokenMetadata tmd = ss.getTokenMetadata();
    tmd.clearUnsafe();
    IPartitioner partitioner = new RandomPartitioner();
    VersionedValue.VersionedValueFactory valueFactory = new VersionedValue.VersionedValueFactory(partitioner);
    ArrayList<Token> endpointTokens = new ArrayList<>();
    ArrayList<Token> keyTokens = new ArrayList<>();
    List<InetAddress> hosts = new ArrayList<>();
    List<UUID> hostIds = new ArrayList<>();
    // we want to convict if there is any heartbeat data present in the FD
    DatabaseDescriptor.setPhiConvictThreshold(0);
    // create a ring of 2 nodes
    Util.createInitialRing(ss, partitioner, endpointTokens, keyTokens, hosts, hostIds, 3);
    InetAddress leftHost = hosts.get(1);
    FailureDetector.instance.report(leftHost);
    // trigger handleStateLeft in StorageService
    ss.onChange(leftHost, ApplicationState.STATUS, valueFactory.left(Collections.singleton(endpointTokens.get(1)), Gossiper.computeExpireTime()));
    // confirm that handleStateLeft was called and leftEndpoint was removed from TokenMetadata
    assertFalse("Left endpoint not removed from TokenMetadata", tmd.isMember(leftHost));
    // confirm the FD's history for leftHost didn't get wiped by status jump to LEFT
    FailureDetector.instance.interpret(leftHost);
    assertFalse("Left endpoint not convicted", FailureDetector.instance.isAlive(leftHost));
}

Example 5 with RandomPartitioner

use of org.apache.cassandra.dht.RandomPartitioner in project cassandra by apache.

the class PropertyFileSnitchTest method setup.

@Before
public void setup() throws ConfigurationException, IOException {
    String confFile = FBUtilities.resourceToFile(PropertyFileSnitch.SNITCH_PROPERTIES_FILENAME);
    effectiveFile = Paths.get(confFile);
    backupFile = Paths.get(confFile + ".bak");
    restoreOrigConfigFile();
    InetAddress[] hosts = { // this exists in the config file
    InetAddress.getByName("127.0.0.1"), // this exists in the config file
    InetAddress.getByName("127.0.0.2"), // this does not exist in the config file
    InetAddress.getByName("127.0.0.9") };
    IPartitioner partitioner = new RandomPartitioner();
    valueFactory = new VersionedValue.VersionedValueFactory(partitioner);
    tokenMap = new HashMap<>();
    for (InetAddress host : hosts) {
        Set<Token> tokens = Collections.singleton(partitioner.getRandomToken());
        Gossiper.instance.initializeNodeUnsafe(host, UUID.randomUUID(), 1);
        Gossiper.instance.injectApplicationState(host, ApplicationState.TOKENS, valueFactory.tokens(tokens));
        setNodeShutdown(host);
        tokenMap.put(host, tokens);
    }
}