Examples with TypeManager io.trino.spi.type.TypeManager used on opensource projects

Example 6 with TypeManager

use of io.trino.spi.type.TypeManager in project trino by trinodb.

the class TestDeltaLakeFileStatistics method testParseParquetStatistics.

@Test
public void testParseParquetStatistics() throws Exception {
    File statsFile = new File(getClass().getResource("/databricks/pruning/parquet_struct_statistics/_delta_log/00000000000000000010.checkpoint.parquet").getFile());
    Path checkpointPath = new Path(statsFile.toURI());
    TypeManager typeManager = TESTING_TYPE_MANAGER;
    CheckpointSchemaManager checkpointSchemaManager = new CheckpointSchemaManager(typeManager);
    HdfsConfig hdfsConfig = new HdfsConfig();
    HdfsConfiguration hdfsConfiguration = new HiveHdfsConfiguration(new HdfsConfigurationInitializer(hdfsConfig), ImmutableSet.of());
    HdfsEnvironment hdfsEnvironment = new HdfsEnvironment(hdfsConfiguration, hdfsConfig, new NoHdfsAuthentication());
    FileSystem fs = hdfsEnvironment.getFileSystem(new HdfsEnvironment.HdfsContext(SESSION), checkpointPath);
    CheckpointEntryIterator metadataEntryIterator = new CheckpointEntryIterator(checkpointPath, SESSION, fs.getFileStatus(checkpointPath).getLen(), checkpointSchemaManager, typeManager, ImmutableSet.of(METADATA), Optional.empty(), hdfsEnvironment, new FileFormatDataSourceStats(), new ParquetReaderConfig().toParquetReaderOptions(), true);
    MetadataEntry metadataEntry = getOnlyElement(metadataEntryIterator).getMetaData();
    CheckpointEntryIterator checkpointEntryIterator = new CheckpointEntryIterator(checkpointPath, SESSION, fs.getFileStatus(checkpointPath).getLen(), checkpointSchemaManager, typeManager, ImmutableSet.of(CheckpointEntryIterator.EntryType.ADD), Optional.of(metadataEntry), hdfsEnvironment, new FileFormatDataSourceStats(), new ParquetReaderConfig().toParquetReaderOptions(), true);
    DeltaLakeTransactionLogEntry matchingAddFileEntry = null;
    while (checkpointEntryIterator.hasNext()) {
        DeltaLakeTransactionLogEntry entry = checkpointEntryIterator.next();
        if (entry.getAdd() != null && entry.getAdd().getPath().contains("part-00000-17951bea-0d04-43c1-979c-ea1fac19b382-c000.snappy.parquet")) {
            assertNull(matchingAddFileEntry);
            matchingAddFileEntry = entry;
        }
    }
    assertNotNull(matchingAddFileEntry);
    assertThat(matchingAddFileEntry.getAdd().getStats()).isPresent();
    testStatisticsValues(matchingAddFileEntry.getAdd().getStats().get());
}

Example 7 with TypeManager

use of io.trino.spi.type.TypeManager in project trino by trinodb.

the class TestDeltaLakeMetastoreStatistics method setupMetastore.

@BeforeClass
public void setupMetastore() {
    TestingConnectorContext context = new TestingConnectorContext();
    TypeManager typeManager = context.getTypeManager();
    CheckpointSchemaManager checkpointSchemaManager = new CheckpointSchemaManager(typeManager);
    HdfsConfig hdfsConfig = new HdfsConfig();
    HdfsConfiguration hdfsConfiguration = new HiveHdfsConfiguration(new HdfsConfigurationInitializer(hdfsConfig), ImmutableSet.of());
    HdfsEnvironment hdfsEnvironment = new HdfsEnvironment(hdfsConfiguration, hdfsConfig, new NoHdfsAuthentication());
    FileFormatDataSourceStats fileFormatDataSourceStats = new FileFormatDataSourceStats();
    TransactionLogAccess transactionLogAccess = new TransactionLogAccess(typeManager, checkpointSchemaManager, new DeltaLakeConfig(), fileFormatDataSourceStats, hdfsEnvironment, new ParquetReaderConfig(), new DeltaLakeConfig());
    File tmpDir = Files.createTempDir();
    File metastoreDir = new File(tmpDir, "metastore");
    hiveMetastore = new FileHiveMetastore(new NodeVersion("test_version"), hdfsEnvironment, new MetastoreConfig(), new FileHiveMetastoreConfig().setCatalogDirectory(metastoreDir.toURI().toString()).setMetastoreUser("test"));
    hiveMetastore.createDatabase(new Database("db_name", Optional.empty(), Optional.of("test"), Optional.of(PrincipalType.USER), Optional.empty(), ImmutableMap.of()));
    CachingDeltaLakeStatisticsAccess statistics = new CachingDeltaLakeStatisticsAccess(new MetaDirStatisticsAccess(hdfsEnvironment, new JsonCodecFactory().jsonCodec(DeltaLakeStatistics.class)));
    deltaLakeMetastore = new HiveMetastoreBackedDeltaLakeMetastore(hiveMetastore, transactionLogAccess, typeManager, statistics);
}

Example 8 with TypeManager

use of io.trino.spi.type.TypeManager in project trino by trinodb.

the class TestDeltaLakeSplitManager method setupSplitManager.

private DeltaLakeSplitManager setupSplitManager(List<AddFileEntry> addFileEntries, DeltaLakeConfig deltaLakeConfig) {
    TestingConnectorContext context = new TestingConnectorContext();
    TypeManager typeManager = context.getTypeManager();
    MockDeltaLakeMetastore metastore = new MockDeltaLakeMetastore();
    metastore.setValidDataFiles(addFileEntries);
    return new DeltaLakeSplitManager(typeManager, (session, transaction) -> metastore, MoreExecutors.newDirectExecutorService(), deltaLakeConfig);
}

Example 9 with TypeManager

use of io.trino.spi.type.TypeManager in project trino by trinodb.

the class HiveMetastoreBackedDeltaLakeMetastore method getTableStatistics.

@Override
public TableStatistics getTableStatistics(ConnectorSession session, DeltaLakeTableHandle tableHandle, Constraint constraint) {
    TableSnapshot tableSnapshot = getSnapshot(tableHandle.getSchemaTableName(), session);
    double numRecords = 0L;
    MetadataEntry metadata = transactionLogAccess.getMetadataEntry(tableSnapshot, session).orElseThrow(() -> new TrinoException(DELTA_LAKE_INVALID_SCHEMA, "Metadata not found in transaction log for " + tableHandle.getTableName()));
    List<ColumnMetadata> columnMetadata = DeltaLakeSchemaSupport.extractSchema(metadata, typeManager);
    List<DeltaLakeColumnHandle> columns = columnMetadata.stream().map(columnMeta -> new DeltaLakeColumnHandle(columnMeta.getName(), columnMeta.getType(), metadata.getCanonicalPartitionColumns().contains(columnMeta.getName()) ? PARTITION_KEY : REGULAR)).collect(toImmutableList());
    Map<DeltaLakeColumnHandle, Double> nullCounts = new HashMap<>();
    columns.forEach(column -> nullCounts.put(column, 0.0));
    Map<DeltaLakeColumnHandle, Double> minValues = new HashMap<>();
    Map<DeltaLakeColumnHandle, Double> maxValues = new HashMap<>();
    Map<DeltaLakeColumnHandle, Set<String>> partitioningColumnsDistinctValues = new HashMap<>();
    columns.stream().filter(column -> column.getColumnType() == PARTITION_KEY).forEach(column -> partitioningColumnsDistinctValues.put(column, new HashSet<>()));
    if (tableHandle.getEnforcedPartitionConstraint().isNone() || tableHandle.getNonPartitionConstraint().isNone() || constraint.getSummary().isNone()) {
        return createZeroStatistics(columns);
    }
    Set<String> predicatedColumnNames = tableHandle.getNonPartitionConstraint().getDomains().orElseThrow().keySet().stream().map(DeltaLakeColumnHandle::getName).collect(toImmutableSet());
    List<ColumnMetadata> predicatedColumns = columnMetadata.stream().filter(column -> predicatedColumnNames.contains(column.getName())).collect(toImmutableList());
    for (AddFileEntry addEntry : transactionLogAccess.getActiveFiles(tableSnapshot, session)) {
        Optional<? extends DeltaLakeFileStatistics> fileStatistics = addEntry.getStats();
        if (fileStatistics.isEmpty()) {
            // Open source Delta Lake does not collect stats
            return TableStatistics.empty();
        }
        DeltaLakeFileStatistics stats = fileStatistics.get();
        if (!partitionMatchesPredicate(addEntry.getCanonicalPartitionValues(), tableHandle.getEnforcedPartitionConstraint().getDomains().orElseThrow())) {
            continue;
        }
        TupleDomain<DeltaLakeColumnHandle> statisticsPredicate = createStatisticsPredicate(addEntry, predicatedColumns, tableHandle.getMetadataEntry().getCanonicalPartitionColumns());
        if (!tableHandle.getNonPartitionConstraint().overlaps(statisticsPredicate)) {
            continue;
        }
        if (stats.getNumRecords().isEmpty()) {
            // Not clear if it's possible for stats to be present with no row count, but bail out if that happens
            return TableStatistics.empty();
        }
        numRecords += stats.getNumRecords().get();
        for (DeltaLakeColumnHandle column : columns) {
            if (column.getColumnType() == PARTITION_KEY) {
                Optional<String> partitionValue = addEntry.getCanonicalPartitionValues().get(column.getName());
                if (partitionValue.isEmpty()) {
                    nullCounts.merge(column, (double) stats.getNumRecords().get(), Double::sum);
                } else {
                    // NULL is not counted as a distinct value
                    // Code below assumes that values returned by addEntry.getCanonicalPartitionValues() are normalized,
                    // it may not be true in case of real, doubles, timestamps etc
                    partitioningColumnsDistinctValues.get(column).add(partitionValue.get());
                }
            } else {
                Optional<Long> maybeNullCount = stats.getNullCount(column.getName());
                if (maybeNullCount.isPresent()) {
                    nullCounts.put(column, nullCounts.get(column) + maybeNullCount.get());
                } else {
                    // If any individual file fails to report null counts, fail to calculate the total for the table
                    nullCounts.put(column, NaN);
                }
            }
            // Math.min returns NaN if any operand is NaN
            stats.getMinColumnValue(column).map(parsedValue -> toStatsRepresentation(column.getType(), parsedValue)).filter(OptionalDouble::isPresent).map(OptionalDouble::getAsDouble).ifPresent(parsedValueAsDouble -> minValues.merge(column, parsedValueAsDouble, Math::min));
            stats.getMaxColumnValue(column).map(parsedValue -> toStatsRepresentation(column.getType(), parsedValue)).filter(OptionalDouble::isPresent).map(OptionalDouble::getAsDouble).ifPresent(parsedValueAsDouble -> maxValues.merge(column, parsedValueAsDouble, Math::max));
        }
    }
    if (numRecords == 0) {
        return createZeroStatistics(columns);
    }
    TableStatistics.Builder statsBuilder = new TableStatistics.Builder().setRowCount(Estimate.of(numRecords));
    Optional<DeltaLakeStatistics> statistics = Optional.empty();
    if (isExtendedStatisticsEnabled(session)) {
        statistics = statisticsAccess.readDeltaLakeStatistics(session, tableHandle.getLocation());
    }
    for (DeltaLakeColumnHandle column : columns) {
        ColumnStatistics.Builder columnStatsBuilder = new ColumnStatistics.Builder();
        Double nullCount = nullCounts.get(column);
        columnStatsBuilder.setNullsFraction(nullCount.isNaN() ? Estimate.unknown() : Estimate.of(nullCount / numRecords));
        Double maxValue = maxValues.get(column);
        Double minValue = minValues.get(column);
        if (isValidInRange(maxValue) && isValidInRange(minValue)) {
            columnStatsBuilder.setRange(new DoubleRange(minValue, maxValue));
        } else if (isValidInRange(maxValue)) {
            columnStatsBuilder.setRange(new DoubleRange(NEGATIVE_INFINITY, maxValue));
        } else if (isValidInRange(minValue)) {
            columnStatsBuilder.setRange(new DoubleRange(minValue, POSITIVE_INFINITY));
        }
        // extend statistics with NDV
        if (column.getColumnType() == PARTITION_KEY) {
            columnStatsBuilder.setDistinctValuesCount(Estimate.of(partitioningColumnsDistinctValues.get(column).size()));
        }
        if (statistics.isPresent()) {
            DeltaLakeColumnStatistics deltaLakeColumnStatistics = statistics.get().getColumnStatistics().get(column.getName());
            if (deltaLakeColumnStatistics != null && column.getColumnType() != PARTITION_KEY) {
                columnStatsBuilder.setDistinctValuesCount(Estimate.of(deltaLakeColumnStatistics.getNdvSummary().cardinality()));
            }
        }
        statsBuilder.setColumnStatistics(column, columnStatsBuilder.build());
    }
    return statsBuilder.build();
}

Example 10 with TypeManager

use of io.trino.spi.type.TypeManager in project trino by trinodb.

the class PartitionTable method getStatisticsByPartition.

private Map<StructLikeWrapper, IcebergStatistics> getStatisticsByPartition(TableScan tableScan) {
    try (CloseableIterable<FileScanTask> fileScanTasks = tableScan.planFiles()) {
        Map<StructLikeWrapper, IcebergStatistics.Builder> partitions = new HashMap<>();
        for (FileScanTask fileScanTask : fileScanTasks) {
            DataFile dataFile = fileScanTask.file();
            Types.StructType structType = fileScanTask.spec().partitionType();
            StructLike partitionStruct = dataFile.partition();
            StructLikeWrapper partitionWrapper = StructLikeWrapper.forType(structType).set(partitionStruct);
            partitions.computeIfAbsent(partitionWrapper, ignored -> new IcebergStatistics.Builder(icebergTable.schema().columns(), typeManager)).acceptDataFile(dataFile, fileScanTask.spec());
        }
        return partitions.entrySet().stream().collect(toImmutableMap(Map.Entry::getKey, entry -> entry.getValue().build()));
    } catch (IOException e) {
        throw new UncheckedIOException(e);
    }
}