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Example 26 with TypeManager

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

the class TestTransactionLogAccess method setupTransactionLogAccess.

private void setupTransactionLogAccess(String tableName, Path tableLocation) throws IOException {
    TestingConnectorContext context = new TestingConnectorContext();
    TypeManager typeManager = context.getTypeManager();
    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 = new TrackingTransactionLogAccess(tableName, tableLocation, SESSION, typeManager, new CheckpointSchemaManager(typeManager), new DeltaLakeConfig(), fileFormatDataSourceStats, hdfsEnvironment, new ParquetReaderConfig());
    DeltaLakeTableHandle tableHandle = new DeltaLakeTableHandle("schema", tableName, "location", // ignored
    Optional.empty(), TupleDomain.none(), TupleDomain.none(), Optional.empty(), Optional.empty(), Optional.empty(), Optional.empty(), Optional.empty(), 0);
    tableSnapshot = transactionLogAccess.loadSnapshot(tableHandle.getSchemaTableName(), tableLocation, SESSION);
}
Also used : HdfsConfigurationInitializer(io.trino.plugin.hive.HdfsConfigurationInitializer) HiveHdfsConfiguration(io.trino.plugin.hive.HiveHdfsConfiguration) HdfsConfig(io.trino.plugin.hive.HdfsConfig) FileFormatDataSourceStats(io.trino.plugin.hive.FileFormatDataSourceStats) TestingConnectorContext(io.trino.testing.TestingConnectorContext) HiveHdfsConfiguration(io.trino.plugin.hive.HiveHdfsConfiguration) HdfsConfiguration(io.trino.plugin.hive.HdfsConfiguration) NoHdfsAuthentication(io.trino.plugin.hive.authentication.NoHdfsAuthentication) HdfsEnvironment(io.trino.plugin.hive.HdfsEnvironment) CheckpointSchemaManager(io.trino.plugin.deltalake.transactionlog.checkpoint.CheckpointSchemaManager) TypeManager(io.trino.spi.type.TypeManager) ParquetReaderConfig(io.trino.plugin.hive.parquet.ParquetReaderConfig)

Example 27 with TypeManager

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

the class HiveMetadata method finishStatisticsCollection.

@Override
public void finishStatisticsCollection(ConnectorSession session, ConnectorTableHandle tableHandle, Collection<ComputedStatistics> computedStatistics) {
    HiveTableHandle handle = (HiveTableHandle) tableHandle;
    SchemaTableName tableName = handle.getSchemaTableName();
    Table table = metastore.getTable(tableName.getSchemaName(), tableName.getTableName()).orElseThrow(() -> new TableNotFoundException(handle.getSchemaTableName()));
    List<Column> partitionColumns = table.getPartitionColumns();
    List<String> partitionColumnNames = partitionColumns.stream().map(Column::getName).collect(toImmutableList());
    HiveTimestampPrecision timestampPrecision = getTimestampPrecision(session);
    List<HiveColumnHandle> hiveColumnHandles = hiveColumnHandles(table, typeManager, timestampPrecision);
    Map<String, Type> columnTypes = hiveColumnHandles.stream().filter(columnHandle -> !columnHandle.isHidden()).collect(toImmutableMap(HiveColumnHandle::getName, column -> column.getHiveType().getType(typeManager, timestampPrecision)));
    Map<List<String>, ComputedStatistics> computedStatisticsMap = createComputedStatisticsToPartitionMap(computedStatistics, partitionColumnNames, columnTypes);
    if (partitionColumns.isEmpty()) {
        // commit analyze to unpartitioned table
        metastore.setTableStatistics(table, createPartitionStatistics(columnTypes, computedStatisticsMap.get(ImmutableList.<String>of())));
    } else {
        List<List<String>> partitionValuesList;
        if (handle.getAnalyzePartitionValues().isPresent()) {
            partitionValuesList = handle.getAnalyzePartitionValues().get();
        } else {
            partitionValuesList = metastore.getPartitionNames(handle.getSchemaName(), handle.getTableName()).orElseThrow(() -> new TableNotFoundException(((HiveTableHandle) tableHandle).getSchemaTableName())).stream().map(HiveUtil::toPartitionValues).collect(toImmutableList());
        }
        ImmutableMap.Builder<List<String>, PartitionStatistics> partitionStatistics = ImmutableMap.builder();
        Map<String, Set<ColumnStatisticType>> columnStatisticTypes = hiveColumnHandles.stream().filter(columnHandle -> !partitionColumnNames.contains(columnHandle.getName())).filter(column -> !column.isHidden()).collect(toImmutableMap(HiveColumnHandle::getName, column -> ImmutableSet.copyOf(metastore.getSupportedColumnStatistics(column.getType()))));
        Supplier<PartitionStatistics> emptyPartitionStatistics = Suppliers.memoize(() -> createEmptyPartitionStatistics(columnTypes, columnStatisticTypes));
        int usedComputedStatistics = 0;
        for (List<String> partitionValues : partitionValuesList) {
            ComputedStatistics collectedStatistics = computedStatisticsMap.get(partitionValues);
            if (collectedStatistics == null) {
                partitionStatistics.put(partitionValues, emptyPartitionStatistics.get());
            } else {
                usedComputedStatistics++;
                partitionStatistics.put(partitionValues, createPartitionStatistics(columnTypes, collectedStatistics));
            }
        }
        verify(usedComputedStatistics == computedStatistics.size(), "All computed statistics must be used");
        metastore.setPartitionStatistics(table, partitionStatistics.buildOrThrow());
    }
}
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Example 28 with TypeManager

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

the class GenericHiveRecordCursorProvider method createRecordCursor.

@Override
public Optional<ReaderRecordCursorWithProjections> createRecordCursor(Configuration configuration, ConnectorSession session, Path path, long start, long length, long fileSize, Properties schema, List<HiveColumnHandle> columns, TupleDomain<HiveColumnHandle> effectivePredicate, TypeManager typeManager, boolean s3SelectPushdownEnabled) {
    configuration.setInt(LineRecordReader.MAX_LINE_LENGTH, textMaxLineLengthBytes);
    // make sure the FileSystem is created with the proper Configuration object
    try {
        this.hdfsEnvironment.getFileSystem(session.getIdentity(), path, configuration);
    } catch (IOException e) {
        throw new TrinoException(HIVE_FILESYSTEM_ERROR, "Failed getting FileSystem: " + path, e);
    }
    Optional<ReaderColumns> projections = projectBaseColumns(columns);
    List<HiveColumnHandle> readerColumns = projections.map(ReaderColumns::get).map(columnHandles -> columnHandles.stream().map(HiveColumnHandle.class::cast).collect(toUnmodifiableList())).orElse(columns);
    RecordCursor cursor = hdfsEnvironment.doAs(session.getIdentity(), () -> {
        RecordReader<?, ?> recordReader = HiveUtil.createRecordReader(configuration, path, start, length, schema, readerColumns);
        try {
            return new GenericHiveRecordCursor<>(configuration, path, genericRecordReader(recordReader), length, schema, readerColumns);
        } catch (Exception e) {
            try {
                recordReader.close();
            } catch (IOException closeException) {
                if (e != closeException) {
                    e.addSuppressed(closeException);
                }
            }
            throw e;
        }
    });
    return Optional.of(new ReaderRecordCursorWithProjections(cursor, projections));
}
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Example 29 with TypeManager

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

the class HiveMetadata method getTableHandleForOptimize.

private Optional<ConnectorTableExecuteHandle> getTableHandleForOptimize(ConnectorSession session, ConnectorTableHandle tableHandle, Map<String, Object> executeProperties, RetryMode retryMode) {
    // TODO lots of that is copied from beginInsert; rafactoring opportunity
    if (!isNonTransactionalOptimizeEnabled(session)) {
        // post-optimize data files duplicate rows will be left in table and manual cleanup from user will be required.
        throw new TrinoException(NOT_SUPPORTED, "OPTIMIZE procedure must be explicitly enabled via " + NON_TRANSACTIONAL_OPTIMIZE_ENABLED + " session property");
    }
    if (retryMode != NO_RETRIES) {
        throw new TrinoException(NOT_SUPPORTED, "OPTIMIZE procedure is not supported with query retries enabled");
    }
    HiveTableHandle hiveTableHandle = (HiveTableHandle) tableHandle;
    SchemaTableName tableName = hiveTableHandle.getSchemaTableName();
    Table table = metastore.getTable(tableName.getSchemaName(), tableName.getTableName()).orElseThrow(() -> new TableNotFoundException(tableName));
    checkTableIsWritable(table, writesToNonManagedTablesEnabled);
    for (Column column : table.getDataColumns()) {
        if (!isWritableType(column.getType())) {
            throw new TrinoException(NOT_SUPPORTED, format("Optimizing Hive table %s with column type %s not supported", tableName, column.getType()));
        }
    }
    if (isTransactionalTable(table.getParameters())) {
        throw new TrinoException(NOT_SUPPORTED, format("Optimizing transactional Hive table %s is not supported", tableName));
    }
    if (table.getStorage().getBucketProperty().isPresent()) {
        throw new TrinoException(NOT_SUPPORTED, format("Optimizing bucketed Hive table %s is not supported", tableName));
    }
    // TODO forcing NANOSECONDS precision here so we do not loose data. In future we may be smarter; options:
    // - respect timestamp_precision but recognize situation when rounding occurs, and fail query
    // - detect data's precision and maintain it
    List<HiveColumnHandle> columns = hiveColumnHandles(table, typeManager, NANOSECONDS).stream().filter(columnHandle -> !columnHandle.isHidden()).collect(toImmutableList());
    HiveStorageFormat tableStorageFormat = extractHiveStorageFormat(table);
    Optional.ofNullable(table.getParameters().get(SKIP_HEADER_COUNT_KEY)).map(Integer::parseInt).ifPresent(headerSkipCount -> {
        if (headerSkipCount > 1) {
            throw new TrinoException(NOT_SUPPORTED, format("Optimizing Hive table %s with value of %s property greater than 1 is not supported", tableName, SKIP_HEADER_COUNT_KEY));
        }
    });
    if (table.getParameters().containsKey(SKIP_FOOTER_COUNT_KEY)) {
        throw new TrinoException(NOT_SUPPORTED, format("Optimizing Hive table %s with %s property not supported", tableName, SKIP_FOOTER_COUNT_KEY));
    }
    LocationHandle locationHandle = locationService.forOptimize(metastore, session, table);
    DataSize fileSizeThreshold = (DataSize) executeProperties.get("file_size_threshold");
    return Optional.of(new HiveTableExecuteHandle(OptimizeTableProcedure.NAME, Optional.empty(), Optional.of(fileSizeThreshold.toBytes()), tableName.getSchemaName(), tableName.getTableName(), columns, metastore.generatePageSinkMetadata(tableName), locationHandle, table.getStorage().getBucketProperty(), tableStorageFormat, // TODO: test with multiple partitions using different storage format
    tableStorageFormat, NO_ACID_TRANSACTION, retryMode != NO_RETRIES));
}
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Example 30 with TypeManager

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

the class HiveMetadata method beginUpdate.

@Override
public ConnectorTableHandle beginUpdate(ConnectorSession session, ConnectorTableHandle tableHandle, List<ColumnHandle> updatedColumns, RetryMode retryMode) {
    HiveTableHandle hiveTableHandle = (HiveTableHandle) tableHandle;
    SchemaTableName tableName = hiveTableHandle.getSchemaTableName();
    Table table = metastore.getTable(tableName.getSchemaName(), tableName.getTableName()).orElseThrow(() -> new TableNotFoundException(tableName));
    if (!isFullAcidTable(table.getParameters())) {
        throw new TrinoException(NOT_SUPPORTED, "Hive update is only supported for ACID transactional tables");
    }
    if (!autoCommit) {
        throw new TrinoException(NOT_SUPPORTED, "Updating transactional tables is not supported in explicit transactions (use autocommit mode)");
    }
    if (isSparkBucketedTable(table)) {
        throw new TrinoException(NOT_SUPPORTED, "Updating Spark bucketed tables is not supported");
    }
    // Verify that none of the updated columns are partition columns or bucket columns
    Set<String> updatedColumnNames = updatedColumns.stream().map(handle -> ((HiveColumnHandle) handle).getName()).collect(toImmutableSet());
    Set<String> partitionColumnNames = table.getPartitionColumns().stream().map(Column::getName).collect(toImmutableSet());
    if (!intersection(updatedColumnNames, partitionColumnNames).isEmpty()) {
        throw new TrinoException(NOT_SUPPORTED, "Updating Hive table partition columns is not supported");
    }
    hiveTableHandle.getBucketHandle().ifPresent(handle -> {
        Set<String> bucketColumnNames = handle.getColumns().stream().map(HiveColumnHandle::getName).collect(toImmutableSet());
        if (!intersection(updatedColumnNames, bucketColumnNames).isEmpty()) {
            throw new TrinoException(NOT_SUPPORTED, "Updating Hive table bucket columns is not supported");
        }
    });
    checkTableIsWritable(table, writesToNonManagedTablesEnabled);
    for (Column column : table.getDataColumns()) {
        if (!isWritableType(column.getType())) {
            throw new TrinoException(NOT_SUPPORTED, format("Updating a Hive table with column type %s not supported", column.getType()));
        }
    }
    List<HiveColumnHandle> allDataColumns = getRegularColumnHandles(table, typeManager, getTimestampPrecision(session)).stream().filter(columnHandle -> !columnHandle.isHidden()).collect(toImmutableList());
    List<HiveColumnHandle> hiveUpdatedColumns = updatedColumns.stream().map(HiveColumnHandle.class::cast).collect(toImmutableList());
    if (table.getParameters().containsKey(SKIP_HEADER_COUNT_KEY)) {
        throw new TrinoException(NOT_SUPPORTED, format("Updating a Hive table with %s property not supported", SKIP_HEADER_COUNT_KEY));
    }
    if (table.getParameters().containsKey(SKIP_FOOTER_COUNT_KEY)) {
        throw new TrinoException(NOT_SUPPORTED, format("Updating a Hive table with %s property not supported", SKIP_FOOTER_COUNT_KEY));
    }
    if (retryMode != NO_RETRIES) {
        throw new TrinoException(NOT_SUPPORTED, "Updating a Hive tables is not supported with query retries enabled");
    }
    LocationHandle locationHandle = locationService.forExistingTable(metastore, session, table);
    HiveUpdateProcessor updateProcessor = new HiveUpdateProcessor(allDataColumns, hiveUpdatedColumns);
    AcidTransaction transaction = metastore.beginUpdate(session, table, updateProcessor);
    HiveTableHandle updateHandle = hiveTableHandle.withTransaction(transaction);
    WriteInfo writeInfo = locationService.getQueryWriteInfo(locationHandle);
    metastore.declareIntentionToWrite(session, writeInfo.getWriteMode(), writeInfo.getWritePath(), tableName);
    return updateHandle;
}
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Aggregations

TypeManager (io.trino.spi.type.TypeManager)35 List (java.util.List)28 Objects.requireNonNull (java.util.Objects.requireNonNull)28 Optional (java.util.Optional)27 ConnectorSession (io.trino.spi.connector.ConnectorSession)25 TrinoException (io.trino.spi.TrinoException)23 IOException (java.io.IOException)22 ImmutableList.toImmutableList (com.google.common.collect.ImmutableList.toImmutableList)21 Path (org.apache.hadoop.fs.Path)21 Map (java.util.Map)20 TupleDomain (io.trino.spi.predicate.TupleDomain)19 ImmutableList (com.google.common.collect.ImmutableList)18 ImmutableMap (com.google.common.collect.ImmutableMap)18 Set (java.util.Set)18 FileSystem (org.apache.hadoop.fs.FileSystem)17 ImmutableMap.toImmutableMap (com.google.common.collect.ImmutableMap.toImmutableMap)15 ImmutableSet (com.google.common.collect.ImmutableSet)14 ImmutableSet.toImmutableSet (com.google.common.collect.ImmutableSet.toImmutableSet)14 HdfsContext (io.trino.plugin.hive.HdfsEnvironment.HdfsContext)14 NOT_SUPPORTED (io.trino.spi.StandardErrorCode.NOT_SUPPORTED)14