public EncodingStats stats() { return iterator.stats(); }
public EncodingStats stats() { return input.stats(); }
public EncodingStats stats() { return wrapped.stats(); }
public EncodingStats stats() { return wrapped.stats(); }
public EncodingStats stats() { maybeInit(); return iterator.stats(); }
private static EncodingStats mergeStats(List<UnfilteredRowIterator> iterators) { EncodingStats stats = EncodingStats.NO_STATS; for (UnfilteredRowIterator iter : iterators) stats = stats.mergeWith(iter.stats()); return stats; }
private static EncodingStats mergeStats(List<UnfilteredRowIterator> iterators) { EncodingStats stats = EncodingStats.NO_STATS; for (UnfilteredRowIterator iter : iterators) stats = stats.mergeWith(iter.stats()); return stats; }
public EncodingStats stats() { maybeInit(); return iterator.stats(); }
private static EncodingStats mergeStats(List<UnfilteredRowIterator> iterators) { EncodingStats stats = EncodingStats.NO_STATS; for (UnfilteredRowIterator iter : iterators) stats = stats.mergeWith(iter.stats()); return stats; }
public EncodingStats stats() { maybeInit(); return iterator.stats(); }
public EncodingStats stats() { maybeInit(); return iterator.stats(); }
private ImmutableBTreePartition add(UnfilteredRowIterator iter, ImmutableBTreePartition result, ClusteringIndexNamesFilter filter, boolean isRepaired) { if (!isRepaired) oldestUnrepairedTombstone = Math.min(oldestUnrepairedTombstone, iter.stats().minLocalDeletionTime); int maxRows = Math.max(filter.requestedRows().size(), 1); if (result == null) return ImmutableBTreePartition.create(iter, maxRows); try (UnfilteredRowIterator merged = UnfilteredRowIterators.merge(Arrays.asList(iter, result.unfilteredIterator(columnFilter(), Slices.ALL, filter.isReversed())), nowInSec())) { return ImmutableBTreePartition.create(merged, maxRows); } }
private ImmutableBTreePartition add(UnfilteredRowIterator iter, ImmutableBTreePartition result, ClusteringIndexNamesFilter filter, boolean isRepaired) { if (!isRepaired) oldestUnrepairedTombstone = Math.min(oldestUnrepairedTombstone, iter.stats().minLocalDeletionTime); int maxRows = Math.max(filter.requestedRows().size(), 1); if (result == null) return ImmutableBTreePartition.create(iter, maxRows); try (UnfilteredRowIterator merged = UnfilteredRowIterators.merge(Arrays.asList(iter, result.unfilteredIterator(columnFilter(), Slices.ALL, filter.isReversed())), nowInSec())) { return ImmutableBTreePartition.create(merged, maxRows); } }
private ImmutableBTreePartition add(UnfilteredRowIterator iter, ImmutableBTreePartition result, ClusteringIndexNamesFilter filter, boolean isRepaired) { if (!isRepaired) oldestUnrepairedTombstone = Math.min(oldestUnrepairedTombstone, iter.stats().minLocalDeletionTime); int maxRows = Math.max(filter.requestedRows().size(), 1); if (result == null) return ImmutableBTreePartition.create(iter, maxRows); try (UnfilteredRowIterator merged = UnfilteredRowIterators.merge(Arrays.asList(iter, result.unfilteredIterator(columnFilter(), Slices.ALL, filter.isReversed())), nowInSec())) { return ImmutableBTreePartition.create(merged, maxRows); } }
public void serialize(UnfilteredRowIterator iterator, ColumnFilter selection, DataOutputPlus out, int version, int rowEstimate) throws IOException { SerializationHeader header = new SerializationHeader(false, iterator.metadata(), iterator.columns(), iterator.stats()); serialize(iterator, header, selection, out, version, rowEstimate); }
public void serialize(UnfilteredRowIterator iterator, ColumnFilter selection, DataOutputPlus out, int version, int rowEstimate) throws IOException { SerializationHeader header = new SerializationHeader(false, iterator.metadata(), iterator.columns(), iterator.stats()); serialize(iterator, header, selection, out, version, rowEstimate); }
public void serialize(UnfilteredRowIterator iterator, ColumnFilter selection, DataOutputPlus out, int version, int rowEstimate) throws IOException { SerializationHeader header = new SerializationHeader(false, iterator.metadata(), iterator.columns(), iterator.stats()); serialize(iterator, header, selection, out, version, rowEstimate); }
public void serialize(UnfilteredRowIterator iterator, ColumnFilter selection, DataOutputPlus out, int version, int rowEstimate) throws IOException { SerializationHeader header = new SerializationHeader(false, iterator.metadata(), iterator.columns(), iterator.stats()); serialize(iterator, header, selection, out, version, rowEstimate); }
public PartitionIterator(UnfilteredRowIterator partition, Collection<Unfiltered> content) { super(partition.metadata(), partition.partitionKey(), partition.partitionLevelDeletion(), partition.columns(), partition.staticRow(), partition.isReverseOrder(), partition.stats()); rows = content.iterator(); }
public PartitionIterator(UnfilteredRowIterator partition, Collection<Unfiltered> content) { super(partition.metadata(), partition.partitionKey(), partition.partitionLevelDeletion(), partition.columns(), partition.staticRow(), partition.isReverseOrder(), partition.stats()); rows = content.iterator(); }