Examples with DataInputBuffer org.apache.cassandra.io.util.DataInputBuffer used on opensource projects

Example 31 with DataInputBuffer

use of org.apache.cassandra.io.util.DataInputBuffer in project cassandra by apache.

the class LocalSessions method deserializeRange.

private static Range<Token> deserializeRange(ByteBuffer bb) {
    try (DataInputBuffer in = new DataInputBuffer(bb, false)) {
        IPartitioner partitioner = DatabaseDescriptor.getPartitioner();
        Token left = Token.serializer.deserialize(in, partitioner, 0);
        Token right = Token.serializer.deserialize(in, partitioner, 0);
        return new Range<>(left, right);
    } catch (IOException e) {
        throw new RuntimeException(e);
    }
}

Example 32 with DataInputBuffer

use of org.apache.cassandra.io.util.DataInputBuffer in project cassandra by apache.

the class ColumnFilterTest method testRoundTrip.

private void testRoundTrip(ColumnFilter columnFilter, int version) {
    try {
        DataOutputBuffer output = new DataOutputBuffer();
        serializer.serialize(columnFilter, output, version);
        Assert.assertEquals(serializer.serializedSize(columnFilter, version), output.position());
        DataInputPlus input = new DataInputBuffer(output.buffer(), false);
        ColumnFilter deserialized = serializer.deserialize(input, version, metadata);
        if (version == MessagingService.VERSION_30 && columnFilter.fetchesAllColumns(false)) {
            Assert.assertEquals(metadata.regularAndStaticColumns(), deserialized.fetchedColumns());
        } else {
            Assert.assertEquals(deserialized, columnFilter);
        }
    } catch (IOException e) {
        throw Throwables.cleaned(e);
    }
}

Example 33 with DataInputBuffer

use of org.apache.cassandra.io.util.DataInputBuffer in project cassandra by apache.

the class StandardAnalyzer method init.

public void init(StandardTokenizerOptions tokenizerOptions, AbstractType<?> validator) {
    this.validator = validator;
    this.options = tokenizerOptions;
    this.filterPipeline = getFilterPipeline();
    Reader reader = new InputStreamReader(new DataInputBuffer(ByteBufferUtil.EMPTY_BYTE_BUFFER, false), StandardCharsets.UTF_8);
    this.scanner = new StandardTokenizerImpl(reader);
    this.inputReader = reader;
}

Example 34 with DataInputBuffer

use of org.apache.cassandra.io.util.DataInputBuffer in project cassandra by apache.

the class MutationBench method setup.

@Setup
public void setup() throws IOException {
    Schema.instance.load(KeyspaceMetadata.create(keyspace, KeyspaceParams.simple(1)));
    KeyspaceMetadata ksm = Schema.instance.getKeyspaceMetadata(keyspace);
    TableMetadata metadata = CreateTableStatement.parse("CREATE TABLE userpics " + "( userid bigint," + "picid bigint," + "commentid bigint, " + "PRIMARY KEY(userid, picid))", keyspace).build();
    Schema.instance.load(ksm.withSwapped(ksm.tables.with(metadata)));
    mutation = (Mutation) UpdateBuilder.create(metadata, 1L).newRow(1L).add("commentid", 32L).makeMutation();
    buffer = ByteBuffer.allocate(mutation.serializedSize(MessagingService.current_version));
    outputBuffer = new DataOutputBufferFixed(buffer);
    inputBuffer = new DataInputBuffer(buffer, false);
    Mutation.serializer.serialize(mutation, outputBuffer, MessagingService.current_version);
}

Example 35 with DataInputBuffer

use of org.apache.cassandra.io.util.DataInputBuffer in project cassandra by apache.

the class ReadCommandTest method testSinglePartitionGroupMerge.

@Test
public void testSinglePartitionGroupMerge() throws Exception {
    ColumnFamilyStore cfs = Keyspace.open(KEYSPACE).getColumnFamilyStore(CF3);
    String[][][] groups = new String[][][] { new String[][] { // "1" indicates to create the data, "-1" to delete the row
    new String[] { "1", "key1", "aa", "a" }, new String[] { "1", "key2", "bb", "b" }, new String[] { "1", "key3", "cc", "c" } }, new String[][] { new String[] { "1", "key3", "dd", "d" }, new String[] { "1", "key2", "ee", "e" }, new String[] { "1", "key1", "ff", "f" } }, new String[][] { new String[] { "1", "key6", "aa", "a" }, new String[] { "1", "key5", "bb", "b" }, new String[] { "1", "key4", "cc", "c" } }, new String[][] { new String[] { "-1", "key6", "aa", "a" }, new String[] { "-1", "key2", "bb", "b" } } };
    // Given the data above, when the keys are sorted and the deletions removed, we should
    // get these clustering rows in this order
    String[] expectedRows = new String[] { "aa", "ff", "ee", "cc", "dd", "cc", "bb" };
    List<ByteBuffer> buffers = new ArrayList<>(groups.length);
    int nowInSeconds = FBUtilities.nowInSeconds();
    ColumnFilter columnFilter = ColumnFilter.allRegularColumnsBuilder(cfs.metadata(), false).build();
    RowFilter rowFilter = RowFilter.create();
    Slice slice = Slice.make(BufferClusteringBound.BOTTOM, BufferClusteringBound.TOP);
    ClusteringIndexSliceFilter sliceFilter = new ClusteringIndexSliceFilter(Slices.with(cfs.metadata().comparator, slice), false);
    for (String[][] group : groups) {
        cfs.truncateBlocking();
        List<SinglePartitionReadCommand> commands = new ArrayList<>(group.length);
        for (String[] data : group) {
            if (data[0].equals("1")) {
                new RowUpdateBuilder(cfs.metadata(), 0, ByteBufferUtil.bytes(data[1])).clustering(data[2]).add(data[3], ByteBufferUtil.bytes("blah")).build().apply();
            } else {
                RowUpdateBuilder.deleteRow(cfs.metadata(), FBUtilities.timestampMicros(), ByteBufferUtil.bytes(data[1]), data[2]).apply();
            }
            commands.add(SinglePartitionReadCommand.create(cfs.metadata(), nowInSeconds, columnFilter, rowFilter, DataLimits.NONE, Util.dk(data[1]), sliceFilter));
        }
        cfs.forceBlockingFlush();
        ReadQuery query = SinglePartitionReadCommand.Group.create(commands, DataLimits.NONE);
        try (ReadExecutionController executionController = query.executionController();
            UnfilteredPartitionIterator iter = query.executeLocally(executionController);
            DataOutputBuffer buffer = new DataOutputBuffer()) {
            UnfilteredPartitionIterators.serializerForIntraNode().serialize(iter, columnFilter, buffer, MessagingService.current_version);
            buffers.add(buffer.buffer());
        }
    }
    // deserialize, merge and check the results are all there
    List<UnfilteredPartitionIterator> iterators = new ArrayList<>();
    for (ByteBuffer buffer : buffers) {
        try (DataInputBuffer in = new DataInputBuffer(buffer, true)) {
            iterators.add(UnfilteredPartitionIterators.serializerForIntraNode().deserialize(in, MessagingService.current_version, cfs.metadata(), columnFilter, DeserializationHelper.Flag.LOCAL));
        }
    }
    UnfilteredPartitionIterators.MergeListener listener = new UnfilteredPartitionIterators.MergeListener() {

        public UnfilteredRowIterators.MergeListener getRowMergeListener(DecoratedKey partitionKey, List<UnfilteredRowIterator> versions) {
            return null;
        }

        public void close() {
        }
    };
    try (PartitionIterator partitionIterator = UnfilteredPartitionIterators.filter(UnfilteredPartitionIterators.merge(iterators, listener), nowInSeconds)) {
        int i = 0;
        int numPartitions = 0;
        while (partitionIterator.hasNext()) {
            numPartitions++;
            try (RowIterator rowIterator = partitionIterator.next()) {
                while (rowIterator.hasNext()) {
                    Row row = rowIterator.next();
                    assertEquals("col=" + expectedRows[i++], row.clustering().toString(cfs.metadata()));
                // System.out.print(row.toString(cfs.metadata, true));
                }
            }
        }
        assertEquals(5, numPartitions);
        assertEquals(expectedRows.length, i);
    }
}