Examples with ConnectorTableLayout com.facebook.presto.spi.ConnectorTableLayout used on opensource projects

Example 16 with ConnectorTableLayout

use of com.facebook.presto.spi.ConnectorTableLayout in project presto by prestodb.

the class JmxMetadata method getTableLayouts.

@Override
public List<ConnectorTableLayoutResult> getTableLayouts(ConnectorSession session, ConnectorTableHandle table, Constraint<ColumnHandle> constraint, Optional<Set<ColumnHandle>> desiredColumns) {
    JmxTableHandle handle = (JmxTableHandle) table;
    ConnectorTableLayout layout = new ConnectorTableLayout(new JmxTableLayoutHandle(handle, constraint.getSummary()));
    return ImmutableList.of(new ConnectorTableLayoutResult(layout, constraint.getSummary()));
}

Example 17 with ConnectorTableLayout

use of com.facebook.presto.spi.ConnectorTableLayout in project presto by prestodb.

the class CassandraMetadata method getTableLayouts.

@Override
public List<ConnectorTableLayoutResult> getTableLayouts(ConnectorSession session, ConnectorTableHandle table, Constraint<ColumnHandle> constraint, Optional<Set<ColumnHandle>> desiredColumns) {
    CassandraTableHandle handle = (CassandraTableHandle) table;
    CassandraPartitionResult partitionResult = partitionManager.getPartitions(handle, constraint.getSummary());
    String clusteringKeyPredicates = "";
    TupleDomain<ColumnHandle> unenforcedConstraint;
    if (partitionResult.isUnpartitioned()) {
        unenforcedConstraint = partitionResult.getUnenforcedConstraint();
    } else {
        CassandraClusteringPredicatesExtractor clusteringPredicatesExtractor = new CassandraClusteringPredicatesExtractor(cassandraSession.getTable(getTableName(handle)).getClusteringKeyColumns(), partitionResult.getUnenforcedConstraint(), cassandraSession.getCassandraVersion());
        clusteringKeyPredicates = clusteringPredicatesExtractor.getClusteringKeyPredicates();
        unenforcedConstraint = clusteringPredicatesExtractor.getUnenforcedConstraints();
    }
    ConnectorTableLayout layout = getTableLayout(session, new CassandraTableLayoutHandle(handle, partitionResult.getPartitions(), clusteringKeyPredicates));
    return ImmutableList.of(new ConnectorTableLayoutResult(layout, unenforcedConstraint));
}

Example 18 with ConnectorTableLayout

use of com.facebook.presto.spi.ConnectorTableLayout in project presto by prestodb.

the class SheetsMetadata method getTableLayouts.

@Override
public List<ConnectorTableLayoutResult> getTableLayouts(ConnectorSession session, ConnectorTableHandle table, Constraint<ColumnHandle> constraint, Optional<Set<ColumnHandle>> desiredColumns) {
    SheetsTableHandle tableHandle = (SheetsTableHandle) table;
    ConnectorTableLayout layout = new ConnectorTableLayout(new SheetsTableLayoutHandle(tableHandle));
    return ImmutableList.of(new ConnectorTableLayoutResult(layout, constraint.getSummary()));
}

Example 19 with ConnectorTableLayout

use of com.facebook.presto.spi.ConnectorTableLayout in project presto by prestodb.

the class KuduMetadata method getTableLayouts.

@Override
public List<ConnectorTableLayoutResult> getTableLayouts(ConnectorSession session, ConnectorTableHandle tableHandle, Constraint<ColumnHandle> constraint, Optional<Set<ColumnHandle>> desiredColumns) {
    KuduTableHandle handle = (KuduTableHandle) tableHandle;
    ConnectorTableLayout layout = new ConnectorTableLayout(new KuduTableLayoutHandle(handle, constraint.getSummary(), desiredColumns));
    return ImmutableList.of(new ConnectorTableLayoutResult(layout, constraint.getSummary()));
}

Example 20 with ConnectorTableLayout

use of com.facebook.presto.spi.ConnectorTableLayout in project presto by prestodb.

the class HiveMetadata method getTableLayout.

@Override
public ConnectorTableLayout getTableLayout(ConnectorSession session, ConnectorTableLayoutHandle layoutHandle) {
    HiveTableLayoutHandle hiveLayoutHandle = (HiveTableLayoutHandle) layoutHandle;
    List<ColumnHandle> partitionColumns = ImmutableList.copyOf(hiveLayoutHandle.getPartitionColumns());
    List<HivePartition> partitions = hiveLayoutHandle.getPartitions().get();
    Optional<DiscretePredicates> discretePredicates = Optional.empty();
    if (!partitionColumns.isEmpty()) {
        // Do not create tuple domains for every partition at the same time!
        // There can be a huge number of partitions so use an iterable so
        // all domains do not need to be in memory at the same time.
        Iterable<TupleDomain<ColumnHandle>> partitionDomains = Iterables.transform(partitions, (hivePartition) -> TupleDomain.fromFixedValues(hivePartition.getKeys()));
        discretePredicates = Optional.of(new DiscretePredicates(partitionColumns, partitionDomains));
    }
    Optional<ConnectorTablePartitioning> tablePartitioning = Optional.empty();
    SchemaTableName tableName = hiveLayoutHandle.getSchemaTableName();
    MetastoreContext metastoreContext = getMetastoreContext(session);
    Table table = metastore.getTable(metastoreContext, tableName.getSchemaName(), tableName.getTableName()).orElseThrow(() -> new TableNotFoundException(tableName));
    // never ignore table bucketing for temporary tables as those are created such explicitly by the engine request
    boolean bucketExecutionEnabled = table.getTableType().equals(TEMPORARY_TABLE) || isBucketExecutionEnabled(session);
    if (bucketExecutionEnabled && hiveLayoutHandle.getBucketHandle().isPresent()) {
        HiveBucketHandle hiveBucketHandle = hiveLayoutHandle.getBucketHandle().get();
        HivePartitioningHandle partitioningHandle;
        int bucketCount = hiveBucketHandle.getReadBucketCount();
        OptionalInt maxCompatibleBucketCount = OptionalInt.empty();
        // Virtually bucketed table does not have table bucket property
        if (hiveBucketHandle.isVirtuallyBucketed()) {
            partitioningHandle = createHiveCompatiblePartitioningHandle(bucketCount, hiveBucketHandle.getColumns().stream().map(HiveColumnHandle::getHiveType).collect(toImmutableList()), maxCompatibleBucketCount);
        } else {
            HiveBucketProperty bucketProperty = table.getStorage().getBucketProperty().orElseThrow(() -> new IllegalArgumentException("bucketProperty is expected to be present"));
            switch(bucketProperty.getBucketFunctionType()) {
                case HIVE_COMPATIBLE:
                    partitioningHandle = createHiveCompatiblePartitioningHandle(bucketCount, hiveBucketHandle.getColumns().stream().map(HiveColumnHandle::getHiveType).collect(toImmutableList()), maxCompatibleBucketCount);
                    break;
                case PRESTO_NATIVE:
                    partitioningHandle = createPrestoNativePartitioningHandle(bucketCount, bucketProperty.getTypes().get(), maxCompatibleBucketCount);
                    break;
                default:
                    throw new IllegalArgumentException("Unsupported bucket function type " + bucketProperty.getBucketFunctionType());
            }
        }
        tablePartitioning = Optional.of(new ConnectorTablePartitioning(partitioningHandle, hiveBucketHandle.getColumns().stream().map(ColumnHandle.class::cast).collect(toImmutableList())));
    }
    TupleDomain<ColumnHandle> predicate;
    if (hiveLayoutHandle.isPushdownFilterEnabled()) {
        predicate = hiveLayoutHandle.getDomainPredicate().transform(subfield -> isEntireColumn(subfield) ? subfield.getRootName() : null).transform(hiveLayoutHandle.getPredicateColumns()::get).transform(ColumnHandle.class::cast).intersect(createPredicate(partitionColumns, partitions));
    } else {
        predicate = createPredicate(partitionColumns, partitions);
    }
    // Expose ordering property of the table.
    ImmutableList.Builder<LocalProperty<ColumnHandle>> localProperties = ImmutableList.builder();
    Optional<Set<ColumnHandle>> streamPartitionColumns = Optional.empty();
    if (table.getStorage().getBucketProperty().isPresent() && !table.getStorage().getBucketProperty().get().getSortedBy().isEmpty()) {
        ImmutableSet.Builder<ColumnHandle> streamPartitionColumnsBuilder = ImmutableSet.builder();
        // streamPartitioningColumns is how we partition the data across splits.
        // localProperty is how we partition the data within a split.
        // 1. add partition columns to streamPartitionColumns
        partitionColumns.forEach(streamPartitionColumnsBuilder::add);
        // 2. add sorted columns to streamPartitionColumns and localProperties
        HiveBucketProperty bucketProperty = table.getStorage().getBucketProperty().get();
        Map<String, ColumnHandle> columnHandles = hiveColumnHandles(table).stream().collect(toImmutableMap(HiveColumnHandle::getName, identity()));
        bucketProperty.getSortedBy().forEach(sortingColumn -> {
            ColumnHandle columnHandle = columnHandles.get(sortingColumn.getColumnName());
            localProperties.add(new SortingProperty<>(columnHandle, sortingColumn.getOrder().getSortOrder()));
            streamPartitionColumnsBuilder.add(columnHandle);
        });
        // We currently only set streamPartitionColumns when it enables streaming aggregation and also it's eligible to enable streaming aggregation
        // 1. When the bucket columns are the same as the prefix of the sort columns
        // 2. When all rows of the same value group are guaranteed to be in the same split. We disable splitting a file when isStreamingAggregationEnabled is true to make sure the property is guaranteed.
        List<String> sortColumns = bucketProperty.getSortedBy().stream().map(SortingColumn::getColumnName).collect(toImmutableList());
        if (bucketProperty.getBucketedBy().size() <= sortColumns.size() && bucketProperty.getBucketedBy().containsAll(sortColumns.subList(0, bucketProperty.getBucketedBy().size())) && isStreamingAggregationEnabled(session)) {
            streamPartitionColumns = Optional.of(streamPartitionColumnsBuilder.build());
        }
    }
    return new ConnectorTableLayout(hiveLayoutHandle, Optional.empty(), predicate, tablePartitioning, streamPartitionColumns, discretePredicates, localProperties.build(), Optional.of(hiveLayoutHandle.getRemainingPredicate()));
}