use of com.facebook.presto.orc.metadata.RowGroupIndex in project presto by prestodb.
the class StripeReader method readColumnIndexes.
private Map<StreamId, List<RowGroupIndex>> readColumnIndexes(Map<StreamId, Stream> streams, Map<StreamId, OrcInputStream> streamsData, StripeId stripeId) throws IOException {
// read the bloom filter for each column
Map<Integer, List<HiveBloomFilter>> bloomFilterIndexes = readBloomFilterIndexes(streams, streamsData);
ImmutableMap.Builder<StreamId, List<RowGroupIndex>> columnIndexes = ImmutableMap.builder();
for (Entry<StreamId, Stream> entry : streams.entrySet()) {
StreamId streamId = entry.getKey();
Stream stream = entry.getValue();
if (stream.getStreamKind() == ROW_INDEX) {
OrcInputStream inputStream = streamsData.get(streamId);
List<HiveBloomFilter> bloomFilters = bloomFilterIndexes.get(streamId.getColumn());
List<RowGroupIndex> rowGroupIndexes = stripeMetadataSource.getRowIndexes(metadataReader, hiveWriterVersion, stripeId, streamId, inputStream, bloomFilters, runtimeStats);
columnIndexes.put(entry.getKey(), rowGroupIndexes);
}
}
return columnIndexes.build();
}
use of com.facebook.presto.orc.metadata.RowGroupIndex in project presto by prestodb.
the class StripeReader method readStripe.
public Stripe readStripe(StripeInformation stripe, OrcAggregatedMemoryContext systemMemoryUsage, Optional<DwrfEncryptionInfo> decryptors, SharedBuffer sharedDecompressionBuffer) throws IOException {
StripeId stripeId = new StripeId(orcDataSource.getId(), stripe.getOffset());
// read the stripe footer
StripeFooter stripeFooter = readStripeFooter(stripeId, stripe, systemMemoryUsage);
// get streams for selected columns
List<List<Stream>> allStreams = new ArrayList<>();
allStreams.add(stripeFooter.getStreams());
Map<StreamId, Stream> includedStreams = new HashMap<>();
boolean hasRowGroupDictionary = addIncludedStreams(stripeFooter.getColumnEncodings(), stripeFooter.getStreams(), includedStreams);
Map<Integer, ColumnEncoding> columnEncodings = new HashMap<>();
Map<Integer, ColumnEncoding> stripeFooterEncodings = stripeFooter.getColumnEncodings();
columnEncodings.putAll(stripeFooterEncodings);
// included columns may be encrypted
if (decryptors.isPresent()) {
List<Slice> encryptedEncryptionGroups = stripeFooter.getStripeEncryptionGroups();
for (Integer groupId : decryptors.get().getEncryptorGroupIds()) {
StripeEncryptionGroup stripeEncryptionGroup = getStripeEncryptionGroup(decryptors.get().getEncryptorByGroupId(groupId), encryptedEncryptionGroups.get(groupId), dwrfEncryptionGroupColumns.get(groupId), systemMemoryUsage);
allStreams.add(stripeEncryptionGroup.getStreams());
columnEncodings.putAll(stripeEncryptionGroup.getColumnEncodings());
boolean encryptedHasRowGroupDictionary = addIncludedStreams(stripeEncryptionGroup.getColumnEncodings(), stripeEncryptionGroup.getStreams(), includedStreams);
hasRowGroupDictionary = encryptedHasRowGroupDictionary || hasRowGroupDictionary;
}
}
// handle stripes with more than one row group or a dictionary
boolean invalidCheckPoint = false;
if ((stripe.getNumberOfRows() > rowsInRowGroup) || hasRowGroupDictionary) {
// determine ranges of the stripe to read
Map<StreamId, DiskRange> diskRanges = getDiskRanges(allStreams);
diskRanges = Maps.filterKeys(diskRanges, Predicates.in(includedStreams.keySet()));
// read the file regions
Map<StreamId, OrcInputStream> streamsData = readDiskRanges(stripeId, diskRanges, systemMemoryUsage, decryptors, sharedDecompressionBuffer);
// read the row index for each column
Map<StreamId, List<RowGroupIndex>> columnIndexes = readColumnIndexes(includedStreams, streamsData, stripeId);
if (writeValidation.isPresent()) {
writeValidation.get().validateRowGroupStatistics(orcDataSource.getId(), stripe.getOffset(), columnIndexes);
}
// select the row groups matching the tuple domain
Set<Integer> selectedRowGroups = selectRowGroups(stripe, columnIndexes);
// if all row groups are skipped, return null
if (selectedRowGroups.isEmpty()) {
// set accounted memory usage to zero
systemMemoryUsage.close();
return null;
}
// value streams
Map<StreamId, ValueInputStream<?>> valueStreams = createValueStreams(includedStreams, streamsData, columnEncodings);
// build the dictionary streams
InputStreamSources dictionaryStreamSources = createDictionaryStreamSources(includedStreams, valueStreams, columnEncodings);
// build the row groups
try {
List<RowGroup> rowGroups = createRowGroups(stripe.getNumberOfRows(), includedStreams, valueStreams, columnIndexes, selectedRowGroups, columnEncodings);
return new Stripe(stripe.getNumberOfRows(), columnEncodings, rowGroups, dictionaryStreamSources);
} catch (InvalidCheckpointException e) {
// we must fail because the length of the row group dictionary is contained in the checkpoint stream.
if (hasRowGroupDictionary) {
throw new OrcCorruptionException(e, orcDataSource.getId(), "Checkpoints are corrupt");
}
invalidCheckPoint = true;
}
}
// stripe only has one row group and no dictionary
ImmutableMap.Builder<StreamId, DiskRange> diskRangesBuilder = ImmutableMap.builder();
for (Entry<StreamId, DiskRange> entry : getDiskRanges(allStreams).entrySet()) {
StreamId streamId = entry.getKey();
if (includedStreams.keySet().contains(streamId)) {
diskRangesBuilder.put(entry);
}
}
ImmutableMap<StreamId, DiskRange> diskRanges = diskRangesBuilder.build();
// read the file regions
Map<StreamId, OrcInputStream> streamsData = readDiskRanges(stripeId, diskRanges, systemMemoryUsage, decryptors, sharedDecompressionBuffer);
long totalBytes = 0;
for (Entry<StreamId, Stream> entry : includedStreams.entrySet()) {
if (entry.getKey().getStreamKind() == ROW_INDEX) {
List<RowGroupIndex> rowGroupIndexes = metadataReader.readRowIndexes(hiveWriterVersion, streamsData.get(entry.getKey()), null);
checkState(rowGroupIndexes.size() == 1 || invalidCheckPoint, "expect a single row group or an invalid check point");
for (RowGroupIndex rowGroupIndex : rowGroupIndexes) {
ColumnStatistics columnStatistics = rowGroupIndex.getColumnStatistics();
if (columnStatistics.hasMinAverageValueSizeInBytes()) {
totalBytes += columnStatistics.getTotalValueSizeInBytes();
}
}
}
}
// value streams
Map<StreamId, ValueInputStream<?>> valueStreams = createValueStreams(includedStreams, streamsData, columnEncodings);
// build the dictionary streams
InputStreamSources dictionaryStreamSources = createDictionaryStreamSources(includedStreams, valueStreams, columnEncodings);
// build the row group
ImmutableMap.Builder<StreamId, InputStreamSource<?>> builder = ImmutableMap.builder();
for (Entry<StreamId, ValueInputStream<?>> entry : valueStreams.entrySet()) {
builder.put(entry.getKey(), new ValueInputStreamSource<>(entry.getValue()));
}
RowGroup rowGroup = new RowGroup(0, 0, stripe.getNumberOfRows(), totalBytes, new InputStreamSources(builder.build()));
return new Stripe(stripe.getNumberOfRows(), columnEncodings, ImmutableList.of(rowGroup), dictionaryStreamSources);
}
use of com.facebook.presto.orc.metadata.RowGroupIndex in project presto by prestodb.
the class CachingStripeMetadataSource method getRowIndexes.
@Override
public List<RowGroupIndex> getRowIndexes(MetadataReader metadataReader, HiveWriterVersion hiveWriterVersion, StripeId stripId, StreamId streamId, OrcInputStream inputStream, List<HiveBloomFilter> bloomFilters, RuntimeStats runtimeStats) throws IOException {
if (rowGroupIndexCache.isPresent()) {
List<RowGroupIndex> rowGroupIndices = rowGroupIndexCache.get().getIfPresent(new StripeStreamId(stripId, streamId));
if (rowGroupIndices != null) {
runtimeStats.addMetricValue("OrcRowGroupIndexCacheHit", 1);
runtimeStats.addMetricValue("OrcRowGroupIndexInMemoryBytesRead", rowGroupIndices.stream().mapToLong(RowGroupIndex::getRetainedSizeInBytes).sum());
return rowGroupIndices;
} else {
runtimeStats.addMetricValue("OrcRowGroupIndexCacheHit", 0);
runtimeStats.addMetricValue("OrcRowGroupIndexStorageBytesRead", inputStream.getRetainedSizeInBytes());
}
}
List<RowGroupIndex> rowGroupIndices = delegate.getRowIndexes(metadataReader, hiveWriterVersion, stripId, streamId, inputStream, bloomFilters, runtimeStats);
if (rowGroupIndexCache.isPresent()) {
rowGroupIndexCache.get().put(new StripeStreamId(stripId, streamId), rowGroupIndices);
}
return rowGroupIndices;
}
use of com.facebook.presto.orc.metadata.RowGroupIndex in project presto by prestodb.
the class AbstractTestOrcReader method testCaching.
@Test
public void testCaching() throws Exception {
Cache<OrcDataSourceId, OrcFileTail> orcFileTailCache = CacheBuilder.newBuilder().maximumWeight(new DataSize(1, MEGABYTE).toBytes()).weigher((id, tail) -> ((OrcFileTail) tail).getFooterSize() + ((OrcFileTail) tail).getMetadataSize()).expireAfterAccess(new Duration(10, MINUTES).toMillis(), MILLISECONDS).recordStats().build();
OrcFileTailSource orcFileTailSource = new CachingOrcFileTailSource(new StorageOrcFileTailSource(), orcFileTailCache);
Cache<StripeId, Slice> stripeFootercache = CacheBuilder.newBuilder().maximumWeight(new DataSize(1, MEGABYTE).toBytes()).weigher((id, footer) -> ((Slice) footer).length()).expireAfterAccess(new Duration(10, MINUTES).toMillis(), MILLISECONDS).recordStats().build();
Cache<StripeStreamId, Slice> stripeStreamCache = CacheBuilder.newBuilder().maximumWeight(new DataSize(1, MEGABYTE).toBytes()).weigher((id, stream) -> ((Slice) stream).length()).expireAfterAccess(new Duration(10, MINUTES).toMillis(), MILLISECONDS).recordStats().build();
Optional<Cache<StripeStreamId, List<RowGroupIndex>>> rowGroupIndexCache = Optional.of(CacheBuilder.newBuilder().maximumWeight(new DataSize(1, MEGABYTE).toBytes()).weigher((id, rowGroupIndices) -> toIntExact(((List<RowGroupIndex>) rowGroupIndices).stream().mapToLong(RowGroupIndex::getRetainedSizeInBytes).sum())).expireAfterAccess(new Duration(10, MINUTES).toMillis(), MILLISECONDS).recordStats().build());
StripeMetadataSource stripeMetadataSource = new CachingStripeMetadataSource(new StorageStripeMetadataSource(), stripeFootercache, stripeStreamCache, rowGroupIndexCache);
try (TempFile tempFile = createTempFile(10001)) {
OrcBatchRecordReader storageReader = createCustomOrcRecordReader(tempFile, ORC, OrcPredicate.TRUE, ImmutableList.of(BIGINT), INITIAL_BATCH_SIZE, orcFileTailSource, stripeMetadataSource, true, ImmutableMap.of(), false);
assertEquals(orcFileTailCache.stats().missCount(), 1);
assertEquals(orcFileTailCache.stats().hitCount(), 0);
OrcBatchRecordReader cacheReader = createCustomOrcRecordReader(tempFile, ORC, OrcPredicate.TRUE, ImmutableList.of(BIGINT), INITIAL_BATCH_SIZE, orcFileTailSource, stripeMetadataSource, true, ImmutableMap.of(), false);
assertEquals(orcFileTailCache.stats().missCount(), 1);
assertEquals(orcFileTailCache.stats().hitCount(), 1);
assertEquals(storageReader.getRetainedSizeInBytes(), cacheReader.getRetainedSizeInBytes());
assertEquals(storageReader.getFileRowCount(), cacheReader.getFileRowCount());
assertEquals(storageReader.getSplitLength(), cacheReader.getSplitLength());
storageReader.nextBatch();
assertEquals(stripeFootercache.stats().missCount(), 1);
assertEquals(stripeFootercache.stats().hitCount(), 0);
assertEquals(stripeStreamCache.stats().missCount(), 2);
assertEquals(stripeStreamCache.stats().hitCount(), 0);
assertEquals(rowGroupIndexCache.get().stats().missCount(), 1);
assertEquals(rowGroupIndexCache.get().stats().hitCount(), 0);
cacheReader.nextBatch();
assertEquals(stripeFootercache.stats().missCount(), 1);
assertEquals(stripeFootercache.stats().hitCount(), 1);
assertEquals(stripeStreamCache.stats().missCount(), 2);
assertEquals(stripeStreamCache.stats().hitCount(), 2);
assertEquals(rowGroupIndexCache.get().stats().missCount(), 1);
assertEquals(rowGroupIndexCache.get().stats().hitCount(), 1);
assertEquals(storageReader.readBlock(0).getInt(0), cacheReader.readBlock(0).getInt(0));
}
}
use of com.facebook.presto.orc.metadata.RowGroupIndex in project presto by prestodb.
the class FloatColumnWriter method getIndexStreams.
@Override
public List<StreamDataOutput> getIndexStreams() throws IOException {
checkState(closed);
ImmutableList.Builder<RowGroupIndex> rowGroupIndexes = ImmutableList.builder();
List<FloatStreamCheckpoint> dataCheckpoints = dataStream.getCheckpoints();
Optional<List<BooleanStreamCheckpoint>> presentCheckpoints = presentStream.getCheckpoints();
for (int i = 0; i < rowGroupColumnStatistics.size(); i++) {
int groupId = i;
ColumnStatistics columnStatistics = rowGroupColumnStatistics.get(groupId);
FloatStreamCheckpoint dataCheckpoint = dataCheckpoints.get(groupId);
Optional<BooleanStreamCheckpoint> presentCheckpoint = presentCheckpoints.map(checkpoints -> checkpoints.get(groupId));
List<Integer> positions = createFloatColumnPositionList(compressed, dataCheckpoint, presentCheckpoint);
rowGroupIndexes.add(new RowGroupIndex(positions, columnStatistics));
}
Slice slice = metadataWriter.writeRowIndexes(rowGroupIndexes.build());
Stream stream = new Stream(column, StreamKind.ROW_INDEX, slice.length(), false);
return ImmutableList.of(new StreamDataOutput(slice, stream));
}
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