Examples with ClusteringIndexSliceFilter org.apache.cassandra.db.filter.ClusteringIndexSliceFilter used on opensource projects

Example 1 with ClusteringIndexSliceFilter

use of org.apache.cassandra.db.filter.ClusteringIndexSliceFilter in project cassandra by apache.

the class SinglePartitionSliceCommandTest method staticColumnsAreReturned.

@Test
public void staticColumnsAreReturned() throws IOException {
    DecoratedKey key = metadata.partitioner.decorateKey(ByteBufferUtil.bytes("k1"));
    QueryProcessor.executeInternal("INSERT INTO ks.tbl (k, s) VALUES ('k1', 's')");
    Assert.assertFalse(QueryProcessor.executeInternal("SELECT s FROM ks.tbl WHERE k='k1'").isEmpty());
    ColumnFilter columnFilter = ColumnFilter.selection(RegularAndStaticColumns.of(s));
    ClusteringIndexSliceFilter sliceFilter = new ClusteringIndexSliceFilter(Slices.NONE, false);
    ReadCommand cmd = new SinglePartitionReadCommand(false, MessagingService.VERSION_30, metadata, FBUtilities.nowInSeconds(), columnFilter, RowFilter.NONE, DataLimits.NONE, key, sliceFilter);
    // check raw iterator for static cell
    try (ReadExecutionController executionController = cmd.executionController();
        UnfilteredPartitionIterator pi = cmd.executeLocally(executionController)) {
        checkForS(pi);
    }
    ReadResponse response;
    DataOutputBuffer out;
    DataInputPlus in;
    ReadResponse dst;
    // check (de)serialized iterator for memtable static cell
    try (ReadExecutionController executionController = cmd.executionController();
        UnfilteredPartitionIterator pi = cmd.executeLocally(executionController)) {
        response = ReadResponse.createDataResponse(pi, cmd);
    }
    out = new DataOutputBuffer((int) ReadResponse.serializer.serializedSize(response, MessagingService.VERSION_30));
    ReadResponse.serializer.serialize(response, out, MessagingService.VERSION_30);
    in = new DataInputBuffer(out.buffer(), true);
    dst = ReadResponse.serializer.deserialize(in, MessagingService.VERSION_30);
    try (UnfilteredPartitionIterator pi = dst.makeIterator(cmd)) {
        checkForS(pi);
    }
    // check (de)serialized iterator for sstable static cell
    Schema.instance.getColumnFamilyStoreInstance(metadata.id).forceBlockingFlush();
    try (ReadExecutionController executionController = cmd.executionController();
        UnfilteredPartitionIterator pi = cmd.executeLocally(executionController)) {
        response = ReadResponse.createDataResponse(pi, cmd);
    }
    out = new DataOutputBuffer((int) ReadResponse.serializer.serializedSize(response, MessagingService.VERSION_30));
    ReadResponse.serializer.serialize(response, out, MessagingService.VERSION_30);
    in = new DataInputBuffer(out.buffer(), true);
    dst = ReadResponse.serializer.deserialize(in, MessagingService.VERSION_30);
    try (UnfilteredPartitionIterator pi = dst.makeIterator(cmd)) {
        checkForS(pi);
    }
}

Example 2 with ClusteringIndexSliceFilter

use of org.apache.cassandra.db.filter.ClusteringIndexSliceFilter in project cassandra by apache.

the class CassandraIndexTest method assertIndexRowTtl.

// this is slightly annoying, but we cannot read rows from the methods in Util as
// ReadCommand#executeInternal uses metadata retrieved via the tableId, which the index
// CFS inherits from the base CFS. This has the 'wrong' partitioner (the index table
// uses LocalPartition, the base table a real one, so we cannot read from the index
// table with executeInternal
private void assertIndexRowTtl(ColumnFamilyStore indexCfs, int indexedValue, int ttl) throws Throwable {
    DecoratedKey indexKey = indexCfs.decorateKey(ByteBufferUtil.bytes(indexedValue));
    ClusteringIndexFilter filter = new ClusteringIndexSliceFilter(Slices.with(indexCfs.metadata().comparator, Slice.ALL), false);
    SinglePartitionReadCommand command = SinglePartitionReadCommand.create(indexCfs.metadata(), FBUtilities.nowInSeconds(), indexKey, ColumnFilter.all(indexCfs.metadata()), filter);
    try (ReadExecutionController executionController = command.executionController();
        UnfilteredRowIterator iter = command.queryMemtableAndDisk(indexCfs, executionController)) {
        while (iter.hasNext()) {
            Unfiltered unfiltered = iter.next();
            assert (unfiltered.isRow());
            Row indexRow = (Row) unfiltered;
            assertEquals(ttl, indexRow.primaryKeyLivenessInfo().ttl());
        }
    }
}

Example 3 with ClusteringIndexSliceFilter

use of org.apache.cassandra.db.filter.ClusteringIndexSliceFilter 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()).build();
    RowFilter rowFilter = RowFilter.create();
    Slice slice = Slice.make(ClusteringBound.BOTTOM, ClusteringBound.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 = new SinglePartitionReadCommand.Group(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, SerializationHelper.Flag.LOCAL));
        }
    }
    try (PartitionIterator partitionIterator = UnfilteredPartitionIterators.mergeAndFilter(iterators, nowInSeconds, new UnfilteredPartitionIterators.MergeListener() {

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

        public void close() {
        }
    })) {
        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);
    }
}

Example 4 with ClusteringIndexSliceFilter

use of org.apache.cassandra.db.filter.ClusteringIndexSliceFilter in project cassandra by apache.

the class SinglePartitionSliceCommandTest method toCQLStringIsSafeToCall.

@Test
public void toCQLStringIsSafeToCall() throws IOException {
    DecoratedKey key = metadata.partitioner.decorateKey(ByteBufferUtil.bytes("k1"));
    ColumnFilter columnFilter = ColumnFilter.selection(RegularAndStaticColumns.of(s));
    Slice slice = Slice.make(ClusteringBound.BOTTOM, ClusteringBound.inclusiveEndOf(ByteBufferUtil.bytes("i1")));
    ClusteringIndexSliceFilter sliceFilter = new ClusteringIndexSliceFilter(Slices.with(metadata.comparator, slice), false);
    ReadCommand cmd = new SinglePartitionReadCommand(false, MessagingService.VERSION_30, metadata, FBUtilities.nowInSeconds(), columnFilter, RowFilter.NONE, DataLimits.NONE, key, sliceFilter);
    String ret = cmd.toCQLString();
    Assert.assertNotNull(ret);
    Assert.assertFalse(ret.isEmpty());
}

Example 5 with ClusteringIndexSliceFilter

use of org.apache.cassandra.db.filter.ClusteringIndexSliceFilter in project cassandra by apache.

the class SSTableScannerTest method dataRange.

private static DataRange dataRange(TableMetadata metadata, PartitionPosition start, boolean startInclusive, PartitionPosition end, boolean endInclusive) {
    Slices.Builder sb = new Slices.Builder(metadata.comparator);
    ClusteringIndexSliceFilter filter = new ClusteringIndexSliceFilter(sb.build(), false);
    return new DataRange(AbstractBounds.bounds(start, startInclusive, end, endInclusive), filter);
}