Examples with BOOLEAN io.trino.spi.type.BooleanType.BOOLEAN used on opensource projects

Example 11 with BOOLEAN

use of io.trino.spi.type.BooleanType.BOOLEAN in project trino by trinodb.

the class TestHistogram method testManyValuesInducingRehash.

private static void testManyValuesInducingRehash(TestingAggregationFunction aggregationFunction) {
    double distinctFraction = 0.1f;
    int numGroups = 50000;
    int itemCount = 30;
    Random random = new Random();
    GroupedAggregator groupedAggregator = aggregationFunction.createAggregatorFactory(SINGLE, ImmutableList.of(0), OptionalInt.empty()).createGroupedAggregator();
    for (int j = 0; j < numGroups; j++) {
        Map<String, Long> expectedValues = new HashMap<>();
        List<String> valueList = new ArrayList<>();
        for (int i = 0; i < itemCount; i++) {
            String str = String.valueOf(i % 10);
            String item = IntStream.range(0, itemCount).mapToObj(x -> str).collect(Collectors.joining());
            boolean distinctValue = random.nextDouble() < distinctFraction;
            if (distinctValue) {
                // produce a unique value for the histogram
                item = j + "-" + item;
                valueList.add(item);
            } else {
                valueList.add(item);
            }
            expectedValues.compute(item, (k, v) -> v == null ? 1L : ++v);
        }
        Block block = createStringsBlock(valueList);
        AggregationTestInputBuilder testInputBuilder = new AggregationTestInputBuilder(new Block[] { block }, aggregationFunction);
        AggregationTestInput test1 = testInputBuilder.build();
        test1.runPagesOnAggregatorWithAssertion(j, aggregationFunction.getFinalType(), groupedAggregator, new AggregationTestOutput(expectedValues));
    }
}

Example 12 with BOOLEAN

use of io.trino.spi.type.BooleanType.BOOLEAN in project trino by trinodb.

the class RcFileTester method preprocessWriteValueOld.

private static Object preprocessWriteValueOld(Format format, Type type, Object value) {
    if (value == null) {
        return null;
    }
    if (type.equals(BOOLEAN)) {
        return value;
    }
    if (type.equals(TINYINT)) {
        return ((Number) value).byteValue();
    }
    if (type.equals(SMALLINT)) {
        return ((Number) value).shortValue();
    }
    if (type.equals(INTEGER)) {
        return ((Number) value).intValue();
    }
    if (type.equals(BIGINT)) {
        return ((Number) value).longValue();
    }
    if (type.equals(REAL)) {
        return ((Number) value).floatValue();
    }
    if (type.equals(DOUBLE)) {
        return ((Number) value).doubleValue();
    }
    if (type instanceof VarcharType) {
        return value;
    }
    if (type.equals(VARBINARY)) {
        return ((SqlVarbinary) value).getBytes();
    }
    if (type.equals(DATE)) {
        return Date.ofEpochDay(((SqlDate) value).getDays());
    }
    if (type.equals(TIMESTAMP_MILLIS)) {
        long millis = ((SqlTimestamp) value).getMillis();
        if (format == Format.BINARY) {
            millis = HIVE_STORAGE_TIME_ZONE.convertLocalToUTC(millis, false);
        }
        return Timestamp.ofEpochMilli(millis);
    }
    if (type instanceof DecimalType) {
        return HiveDecimal.create(((SqlDecimal) value).toBigDecimal());
    }
    if (type instanceof ArrayType) {
        Type elementType = type.getTypeParameters().get(0);
        return ((List<?>) value).stream().map(element -> preprocessWriteValueOld(format, elementType, element)).collect(toList());
    }
    if (type instanceof MapType) {
        Type keyType = type.getTypeParameters().get(0);
        Type valueType = type.getTypeParameters().get(1);
        Map<Object, Object> newMap = new HashMap<>();
        for (Entry<?, ?> entry : ((Map<?, ?>) value).entrySet()) {
            newMap.put(preprocessWriteValueOld(format, keyType, entry.getKey()), preprocessWriteValueOld(format, valueType, entry.getValue()));
        }
        return newMap;
    }
    if (type instanceof RowType) {
        List<?> fieldValues = (List<?>) value;
        List<Type> fieldTypes = type.getTypeParameters();
        List<Object> newStruct = new ArrayList<>();
        for (int fieldId = 0; fieldId < fieldValues.size(); fieldId++) {
            newStruct.add(preprocessWriteValueOld(format, fieldTypes.get(fieldId), fieldValues.get(fieldId)));
        }
        return newStruct;
    }
    throw new IllegalArgumentException("unsupported type: " + type);
}

Example 13 with BOOLEAN

use of io.trino.spi.type.BooleanType.BOOLEAN in project trino by trinodb.

the class TupleDomainOrcPredicate method getDomain.

@VisibleForTesting
public static Domain getDomain(Type type, long rowCount, ColumnStatistics columnStatistics) {
    if (rowCount == 0) {
        return Domain.none(type);
    }
    if (columnStatistics == null) {
        return Domain.all(type);
    }
    if (columnStatistics.hasNumberOfValues() && columnStatistics.getNumberOfValues() == 0) {
        return Domain.onlyNull(type);
    }
    boolean hasNullValue = columnStatistics.getNumberOfValues() != rowCount;
    if (type instanceof TimeType && columnStatistics.getIntegerStatistics() != null) {
        // This is the representation of TIME used by Iceberg
        return createDomain(type, hasNullValue, columnStatistics.getIntegerStatistics(), value -> ((long) value) * Timestamps.PICOSECONDS_PER_MICROSECOND);
    }
    if (type.getJavaType() == boolean.class && columnStatistics.getBooleanStatistics() != null) {
        BooleanStatistics booleanStatistics = columnStatistics.getBooleanStatistics();
        boolean hasTrueValues = (booleanStatistics.getTrueValueCount() != 0);
        boolean hasFalseValues = (columnStatistics.getNumberOfValues() != booleanStatistics.getTrueValueCount());
        if (hasTrueValues && hasFalseValues) {
            return Domain.all(BOOLEAN);
        }
        if (hasTrueValues) {
            return Domain.create(ValueSet.of(BOOLEAN, true), hasNullValue);
        }
        if (hasFalseValues) {
            return Domain.create(ValueSet.of(BOOLEAN, false), hasNullValue);
        }
    } else if (isShortDecimal(type) && columnStatistics.getDecimalStatistics() != null) {
        return createDomain(type, hasNullValue, columnStatistics.getDecimalStatistics(), value -> rescale(value, (DecimalType) type).unscaledValue().longValue());
    } else if (isLongDecimal(type) && columnStatistics.getDecimalStatistics() != null) {
        return createDomain(type, hasNullValue, columnStatistics.getDecimalStatistics(), value -> Int128.valueOf(rescale(value, (DecimalType) type).unscaledValue()));
    } else if (type instanceof CharType && columnStatistics.getStringStatistics() != null) {
        return createDomain(type, hasNullValue, columnStatistics.getStringStatistics(), value -> truncateToLengthAndTrimSpaces(value, type));
    } else if (type instanceof VarcharType && columnStatistics.getStringStatistics() != null) {
        return createDomain(type, hasNullValue, columnStatistics.getStringStatistics());
    } else if (type instanceof DateType && columnStatistics.getDateStatistics() != null) {
        return createDomain(type, hasNullValue, columnStatistics.getDateStatistics(), value -> (long) value);
    } else if ((type.equals(TIMESTAMP_MILLIS) || type.equals(TIMESTAMP_MICROS)) && columnStatistics.getTimestampStatistics() != null) {
        // upper bound of the domain we create must be adjusted accordingly, to includes the rounded timestamp.
        return createDomain(type, hasNullValue, columnStatistics.getTimestampStatistics(), min -> min * MICROSECONDS_PER_MILLISECOND, max -> (max + 1) * MICROSECONDS_PER_MILLISECOND);
    } else if (type.equals(TIMESTAMP_NANOS) && columnStatistics.getTimestampStatistics() != null) {
        return createDomain(type, hasNullValue, columnStatistics.getTimestampStatistics(), min -> new LongTimestamp(min * MICROSECONDS_PER_MILLISECOND, 0), max -> new LongTimestamp((max + 1) * MICROSECONDS_PER_MILLISECOND, 0));
    } else if (type.equals(TIMESTAMP_TZ_MILLIS) && columnStatistics.getTimestampStatistics() != null) {
        return createDomain(type, hasNullValue, columnStatistics.getTimestampStatistics(), value -> packDateTimeWithZone(value, UTC_KEY));
    } else if (type.equals(TIMESTAMP_TZ_MICROS) && (columnStatistics.getTimestampStatistics() != null)) {
        return createDomain(type, hasNullValue, columnStatistics.getTimestampStatistics(), min -> LongTimestampWithTimeZone.fromEpochMillisAndFraction(min, 0, UTC_KEY), max -> LongTimestampWithTimeZone.fromEpochMillisAndFraction(max, 999_000_000, UTC_KEY));
    } else if (type.equals(TIMESTAMP_TZ_NANOS) && columnStatistics.getTimestampStatistics() != null) {
        return createDomain(type, hasNullValue, columnStatistics.getTimestampStatistics(), min -> LongTimestampWithTimeZone.fromEpochMillisAndFraction(min, 0, UTC_KEY), max -> LongTimestampWithTimeZone.fromEpochMillisAndFraction(max, 999_999_000, UTC_KEY));
    } else if (type.getJavaType() == long.class && columnStatistics.getIntegerStatistics() != null) {
        return createDomain(type, hasNullValue, columnStatistics.getIntegerStatistics());
    } else if (type.getJavaType() == double.class && columnStatistics.getDoubleStatistics() != null) {
        return createDomain(type, hasNullValue, columnStatistics.getDoubleStatistics());
    } else if (REAL.equals(type) && columnStatistics.getDoubleStatistics() != null) {
        return createDomain(type, hasNullValue, columnStatistics.getDoubleStatistics(), value -> (long) floatToRawIntBits(value.floatValue()));
    }
    return Domain.create(ValueSet.all(type), hasNullValue);
}

Example 14 with BOOLEAN

use of io.trino.spi.type.BooleanType.BOOLEAN in project trino by trinodb.

the class DeltaLakeMetadata method dropSchema.

@Override
public void dropSchema(ConnectorSession session, String schemaName) {
    Optional<Path> location = metastore.getDatabase(schemaName).orElseThrow(() -> new SchemaNotFoundException(schemaName)).getLocation().map(Path::new);
    // If we see files in the schema location, don't delete it.
    // If we see no files or can't see the location at all, use fallback.
    boolean deleteData = location.map(path -> {
        // don't catch errors here
        HdfsContext context = new HdfsContext(session);
        try (FileSystem fs = hdfsEnvironment.getFileSystem(context, path)) {
            return !fs.listLocatedStatus(path).hasNext();
        } catch (IOException | RuntimeException e) {
            LOG.warn(e, "Could not check schema directory '%s'", path);
            return deleteSchemaLocationsFallback;
        }
    }).orElse(deleteSchemaLocationsFallback);
    metastore.dropDatabase(schemaName, deleteData);
}

Example 15 with BOOLEAN

use of io.trino.spi.type.BooleanType.BOOLEAN in project trino by trinodb.

the class PhoenixClient method beginCreateTable.

@Override
public JdbcOutputTableHandle beginCreateTable(ConnectorSession session, ConnectorTableMetadata tableMetadata) {
    SchemaTableName schemaTableName = tableMetadata.getTable();
    String schema = schemaTableName.getSchemaName();
    String table = schemaTableName.getTableName();
    if (!getSchemaNames(session).contains(schema)) {
        throw new SchemaNotFoundException(schema);
    }
    try (Connection connection = connectionFactory.openConnection(session)) {
        ConnectorIdentity identity = session.getIdentity();
        schema = getIdentifierMapping().toRemoteSchemaName(identity, connection, schema);
        table = getIdentifierMapping().toRemoteTableName(identity, connection, schema, table);
        schema = toPhoenixSchemaName(schema);
        LinkedList<ColumnMetadata> tableColumns = new LinkedList<>(tableMetadata.getColumns());
        Map<String, Object> tableProperties = tableMetadata.getProperties();
        Optional<Boolean> immutableRows = PhoenixTableProperties.getImmutableRows(tableProperties);
        String immutable = immutableRows.isPresent() && immutableRows.get() ? "IMMUTABLE" : "";
        ImmutableList.Builder<String> columnNames = ImmutableList.builder();
        ImmutableList.Builder<Type> columnTypes = ImmutableList.builder();
        ImmutableList.Builder<String> columnList = ImmutableList.builder();
        Set<ColumnMetadata> rowkeyColumns = tableColumns.stream().filter(col -> isPrimaryKey(col, tableProperties)).collect(toSet());
        ImmutableList.Builder<String> pkNames = ImmutableList.builder();
        Optional<String> rowkeyColumn = Optional.empty();
        if (rowkeyColumns.isEmpty()) {
            // Add a rowkey when not specified in DDL
            columnList.add(ROWKEY + " bigint not null");
            pkNames.add(ROWKEY);
            execute(session, format("CREATE SEQUENCE %s", getEscapedTableName(schema, table + "_sequence")));
            rowkeyColumn = Optional.of(ROWKEY);
        }
        for (ColumnMetadata column : tableColumns) {
            String columnName = getIdentifierMapping().toRemoteColumnName(connection, column.getName());
            columnNames.add(columnName);
            columnTypes.add(column.getType());
            String typeStatement = toWriteMapping(session, column.getType()).getDataType();
            if (rowkeyColumns.contains(column)) {
                typeStatement += " not null";
                pkNames.add(columnName);
            }
            columnList.add(format("%s %s", getEscapedArgument(columnName), typeStatement));
        }
        ImmutableList.Builder<String> tableOptions = ImmutableList.builder();
        PhoenixTableProperties.getSaltBuckets(tableProperties).ifPresent(value -> tableOptions.add(TableProperty.SALT_BUCKETS + "=" + value));
        PhoenixTableProperties.getSplitOn(tableProperties).ifPresent(value -> tableOptions.add("SPLIT ON (" + value.replace('"', '\'') + ")"));
        PhoenixTableProperties.getDisableWal(tableProperties).ifPresent(value -> tableOptions.add(TableProperty.DISABLE_WAL + "=" + value));
        PhoenixTableProperties.getDefaultColumnFamily(tableProperties).ifPresent(value -> tableOptions.add(TableProperty.DEFAULT_COLUMN_FAMILY + "=" + value));
        PhoenixTableProperties.getBloomfilter(tableProperties).ifPresent(value -> tableOptions.add(HColumnDescriptor.BLOOMFILTER + "='" + value + "'"));
        PhoenixTableProperties.getVersions(tableProperties).ifPresent(value -> tableOptions.add(HConstants.VERSIONS + "=" + value));
        PhoenixTableProperties.getMinVersions(tableProperties).ifPresent(value -> tableOptions.add(HColumnDescriptor.MIN_VERSIONS + "=" + value));
        PhoenixTableProperties.getCompression(tableProperties).ifPresent(value -> tableOptions.add(HColumnDescriptor.COMPRESSION + "='" + value + "'"));
        PhoenixTableProperties.getTimeToLive(tableProperties).ifPresent(value -> tableOptions.add(HColumnDescriptor.TTL + "=" + value));
        PhoenixTableProperties.getDataBlockEncoding(tableProperties).ifPresent(value -> tableOptions.add(HColumnDescriptor.DATA_BLOCK_ENCODING + "='" + value + "'"));
        String sql = format("CREATE %s TABLE %s (%s , CONSTRAINT PK PRIMARY KEY (%s)) %s", immutable, getEscapedTableName(schema, table), join(", ", columnList.build()), join(", ", pkNames.build()), join(", ", tableOptions.build()));
        execute(session, sql);
        return new PhoenixOutputTableHandle(schema, table, columnNames.build(), columnTypes.build(), Optional.empty(), rowkeyColumn);
    } catch (SQLException e) {
        if (e.getErrorCode() == SQLExceptionCode.TABLE_ALREADY_EXIST.getErrorCode()) {
            throw new TrinoException(ALREADY_EXISTS, "Phoenix table already exists", e);
        }
        throw new TrinoException(PHOENIX_METADATA_ERROR, "Error creating Phoenix table", e);
    }
}