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Example 1 with NullableValue

use of io.trino.spi.predicate.NullableValue in project trino by trinodb.

the class InformationSchemaMetadata method calculateRoles.

private Optional<Set<String>> calculateRoles(ConnectorSession connectorSession, TupleDomain<ColumnHandle> constraint, Optional<Predicate<Map<ColumnHandle, NullableValue>>> predicate) {
    if (constraint.isNone()) {
        return Optional.empty();
    }
    Optional<Set<String>> roles = filterString(constraint, ROLE_NAME_COLUMN_HANDLE);
    if (roles.isPresent()) {
        Set<String> result = roles.get().stream().filter(this::isLowerCase).filter(role -> predicate.isEmpty() || predicate.get().test(roleAsFixedValues(role))).collect(toImmutableSet());
        if (result.isEmpty()) {
            return Optional.empty();
        }
        if (result.size() <= MAX_ROLE_COUNT) {
            return Optional.of(result);
        }
    }
    if (predicate.isEmpty()) {
        return Optional.empty();
    }
    Session session = ((FullConnectorSession) connectorSession).getSession();
    return Optional.of(metadata.listRoles(session, Optional.of(catalogName)).stream().filter(role -> predicate.get().test(roleAsFixedValues(role))).collect(toImmutableSet()));
}
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Example 2 with NullableValue

use of io.trino.spi.predicate.NullableValue in project trino by trinodb.

the class ColumnJdbcTable method applyFilter.

@Override
public TupleDomain<ColumnHandle> applyFilter(ConnectorSession connectorSession, Constraint constraint) {
    TupleDomain<ColumnHandle> tupleDomain = constraint.getSummary();
    if (tupleDomain.isNone() || constraint.predicate().isEmpty()) {
        return tupleDomain;
    }
    Predicate<Map<ColumnHandle, NullableValue>> predicate = constraint.predicate().get();
    Set<ColumnHandle> predicateColumns = constraint.getPredicateColumns().orElseThrow(() -> new VerifyException("columns not present for a predicate"));
    boolean hasSchemaPredicate = predicateColumns.contains(TABLE_SCHEMA_COLUMN);
    boolean hasTablePredicate = predicateColumns.contains(TABLE_NAME_COLUMN);
    if (!hasSchemaPredicate && !hasTablePredicate) {
        // No filter on schema name and table name at all.
        return tupleDomain;
    }
    Session session = ((FullConnectorSession) connectorSession).getSession();
    Optional<String> catalogFilter = tryGetSingleVarcharValue(tupleDomain, TABLE_CATALOG_COLUMN);
    Optional<String> schemaFilter = tryGetSingleVarcharValue(tupleDomain, TABLE_SCHEMA_COLUMN);
    Optional<String> tableFilter = tryGetSingleVarcharValue(tupleDomain, TABLE_NAME_COLUMN);
    if (schemaFilter.isPresent() && tableFilter.isPresent()) {
        // No need to narrow down the domain.
        return tupleDomain;
    }
    List<String> catalogs = listCatalogs(session, metadata, accessControl, catalogFilter).keySet().stream().filter(catalogName -> predicate.test(ImmutableMap.of(TABLE_CATALOG_COLUMN, toNullableValue(catalogName)))).collect(toImmutableList());
    List<CatalogSchemaName> schemas = catalogs.stream().flatMap(catalogName -> listSchemas(session, metadata, accessControl, catalogName, schemaFilter).stream().filter(schemaName -> !hasSchemaPredicate || predicate.test(ImmutableMap.of(TABLE_CATALOG_COLUMN, toNullableValue(catalogName), TABLE_SCHEMA_COLUMN, toNullableValue(schemaName)))).map(schemaName -> new CatalogSchemaName(catalogName, schemaName))).collect(toImmutableList());
    if (!hasTablePredicate) {
        return TupleDomain.withColumnDomains(ImmutableMap.<ColumnHandle, Domain>builder().put(TABLE_CATALOG_COLUMN, schemas.stream().map(CatalogSchemaName::getCatalogName).collect(toVarcharDomain()).simplify(MAX_DOMAIN_SIZE)).put(TABLE_SCHEMA_COLUMN, schemas.stream().map(CatalogSchemaName::getSchemaName).collect(toVarcharDomain()).simplify(MAX_DOMAIN_SIZE)).buildOrThrow());
    }
    List<CatalogSchemaTableName> tables = schemas.stream().flatMap(schema -> {
        QualifiedTablePrefix tablePrefix = tableFilter.isPresent() ? new QualifiedTablePrefix(schema.getCatalogName(), schema.getSchemaName(), tableFilter.get()) : new QualifiedTablePrefix(schema.getCatalogName(), schema.getSchemaName());
        return listTables(session, metadata, accessControl, tablePrefix).stream().filter(schemaTableName -> predicate.test(ImmutableMap.of(TABLE_CATALOG_COLUMN, toNullableValue(schema.getCatalogName()), TABLE_SCHEMA_COLUMN, toNullableValue(schemaTableName.getSchemaName()), TABLE_NAME_COLUMN, toNullableValue(schemaTableName.getTableName())))).map(schemaTableName -> new CatalogSchemaTableName(schema.getCatalogName(), schemaTableName.getSchemaName(), schemaTableName.getTableName()));
    }).collect(toImmutableList());
    return TupleDomain.withColumnDomains(ImmutableMap.<ColumnHandle, Domain>builder().put(TABLE_CATALOG_COLUMN, tables.stream().map(CatalogSchemaTableName::getCatalogName).collect(toVarcharDomain()).simplify(MAX_DOMAIN_SIZE)).put(TABLE_SCHEMA_COLUMN, tables.stream().map(catalogSchemaTableName -> catalogSchemaTableName.getSchemaTableName().getSchemaName()).collect(toVarcharDomain()).simplify(MAX_DOMAIN_SIZE)).put(TABLE_NAME_COLUMN, tables.stream().map(catalogSchemaTableName -> catalogSchemaTableName.getSchemaTableName().getTableName()).collect(toVarcharDomain()).simplify(MAX_DOMAIN_SIZE)).buildOrThrow());
}
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Example 3 with NullableValue

use of io.trino.spi.predicate.NullableValue in project trino by trinodb.

the class HiveMetadata method buildColumnDomain.

private static Domain buildColumnDomain(ColumnHandle column, List<HivePartition> partitions) {
    checkArgument(!partitions.isEmpty(), "partitions cannot be empty");
    boolean hasNull = false;
    boolean hasNaN = false;
    List<Object> nonNullValues = new ArrayList<>();
    Type type = ((HiveColumnHandle) column).getType();
    for (HivePartition partition : partitions) {
        NullableValue value = partition.getKeys().get(column);
        if (value == null) {
            throw new TrinoException(HIVE_UNKNOWN_ERROR, format("Partition %s does not have a value for partition column %s", partition, column));
        }
        if (value.isNull()) {
            hasNull = true;
        } else {
            if (isFloatingPointNaN(type, value.getValue())) {
                hasNaN = true;
            }
            nonNullValues.add(value.getValue());
        }
    }
    Domain domain;
    if (nonNullValues.isEmpty()) {
        domain = Domain.none(type);
    } else if (hasNaN) {
        domain = Domain.notNull(type);
    } else {
        domain = Domain.multipleValues(type, nonNullValues);
    }
    if (hasNull) {
        domain = domain.union(Domain.onlyNull(type));
    }
    return domain;
}
Also used : ColumnStatisticType(io.trino.spi.statistics.ColumnStatisticType) TimestampType(io.trino.spi.type.TimestampType) MapType(io.trino.spi.type.MapType) TableStatisticType(io.trino.spi.statistics.TableStatisticType) HiveType.toHiveType(io.trino.plugin.hive.HiveType.toHiveType) TableType(org.apache.hadoop.hive.metastore.TableType) ErrorType(io.trino.spi.ErrorType) RowType(io.trino.spi.type.RowType) ArrayType(io.trino.spi.type.ArrayType) HiveWriteUtils.isWritableType(io.trino.plugin.hive.util.HiveWriteUtils.isWritableType) Type(io.trino.spi.type.Type) VarcharType.createUnboundedVarcharType(io.trino.spi.type.VarcharType.createUnboundedVarcharType) ArrayList(java.util.ArrayList) NullableValue(io.trino.spi.predicate.NullableValue) TrinoException(io.trino.spi.TrinoException) Domain(io.trino.spi.predicate.Domain) TupleDomain(io.trino.spi.predicate.TupleDomain)

Example 4 with NullableValue

use of io.trino.spi.predicate.NullableValue in project trino by trinodb.

the class HivePartitionManager method parsePartition.

public static HivePartition parsePartition(SchemaTableName tableName, String partitionName, List<HiveColumnHandle> partitionColumns, List<Type> partitionColumnTypes) {
    List<String> partitionValues = extractPartitionValues(partitionName);
    ImmutableMap.Builder<ColumnHandle, NullableValue> builder = ImmutableMap.builder();
    for (int i = 0; i < partitionColumns.size(); i++) {
        HiveColumnHandle column = partitionColumns.get(i);
        NullableValue parsedValue = parsePartitionValue(partitionName, partitionValues.get(i), partitionColumnTypes.get(i));
        builder.put(column, parsedValue);
    }
    Map<ColumnHandle, NullableValue> values = builder.buildOrThrow();
    return new HivePartition(tableName, partitionName, values);
}
Also used : ColumnHandle(io.trino.spi.connector.ColumnHandle) NullableValue(io.trino.spi.predicate.NullableValue) ImmutableMap(com.google.common.collect.ImmutableMap) Constraint(io.trino.spi.connector.Constraint)

Example 5 with NullableValue

use of io.trino.spi.predicate.NullableValue in project trino by trinodb.

the class HiveBucketing method getHiveBucketFilter.

public static Optional<HiveBucketFilter> getHiveBucketFilter(HiveTableHandle hiveTable, TupleDomain<ColumnHandle> effectivePredicate) {
    if (hiveTable.getBucketHandle().isEmpty()) {
        return Optional.empty();
    }
    HiveBucketProperty hiveBucketProperty = hiveTable.getBucketHandle().get().toTableBucketProperty();
    List<Column> dataColumns = hiveTable.getDataColumns().stream().map(HiveColumnHandle::toMetastoreColumn).collect(toImmutableList());
    Optional<Map<ColumnHandle, List<NullableValue>>> bindings = TupleDomain.extractDiscreteValues(effectivePredicate);
    if (bindings.isEmpty()) {
        return Optional.empty();
    }
    Optional<Set<Integer>> buckets = getHiveBuckets(hiveBucketProperty, dataColumns, bindings.get());
    if (buckets.isPresent()) {
        return Optional.of(new HiveBucketFilter(buckets.get()));
    }
    Optional<Domain> domain = effectivePredicate.getDomains().flatMap(domains -> domains.entrySet().stream().filter(entry -> ((HiveColumnHandle) entry.getKey()).getName().equals(BUCKET_COLUMN_NAME)).findFirst().map(Entry::getValue));
    if (domain.isEmpty()) {
        return Optional.empty();
    }
    ValueSet values = domain.get().getValues();
    ImmutableSet.Builder<Integer> builder = ImmutableSet.builder();
    int bucketCount = hiveBucketProperty.getBucketCount();
    for (int i = 0; i < bucketCount; i++) {
        if (values.containsValue((long) i)) {
            builder.add(i);
        }
    }
    return Optional.of(new HiveBucketFilter(builder.build()));
}
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Aggregations

NullableValue (io.trino.spi.predicate.NullableValue)33 ColumnHandle (io.trino.spi.connector.ColumnHandle)22 Optional (java.util.Optional)16 ConnectorSession (io.trino.spi.connector.ConnectorSession)15 TupleDomain (io.trino.spi.predicate.TupleDomain)15 ImmutableList (com.google.common.collect.ImmutableList)14 List (java.util.List)14 Map (java.util.Map)14 Set (java.util.Set)13 ImmutableList.toImmutableList (com.google.common.collect.ImmutableList.toImmutableList)12 Domain (io.trino.spi.predicate.Domain)12 Objects.requireNonNull (java.util.Objects.requireNonNull)12 ImmutableMap (com.google.common.collect.ImmutableMap)11 ImmutableSet (com.google.common.collect.ImmutableSet)10 TrinoException (io.trino.spi.TrinoException)10 ConnectorTableHandle (io.trino.spi.connector.ConnectorTableHandle)10 Constraint (io.trino.spi.connector.Constraint)9 ImmutableSet.toImmutableSet (com.google.common.collect.ImmutableSet.toImmutableSet)8 ColumnMetadata (io.trino.spi.connector.ColumnMetadata)8 SchemaTableName (io.trino.spi.connector.SchemaTableName)8