Examples with DATE io.trino.spi.type.DateType.DATE used on opensource projects

Example 11 with DATE

use of io.trino.spi.type.DateType.DATE in project trino by trinodb.

the class TupleDomainParquetPredicate method getDomain.

/**
 * Get a domain for the ranges defined by each pair of elements from {@code minimums} and {@code maximums}.
 * Both arrays must have the same length.
 */
private static Domain getDomain(ColumnDescriptor column, Type type, List<Object> minimums, List<Object> maximums, boolean hasNullValue, DateTimeZone timeZone) {
    checkArgument(minimums.size() == maximums.size(), "Expected minimums and maximums to have the same size");
    if (type.equals(BOOLEAN)) {
        boolean hasTrueValues = minimums.stream().anyMatch(value -> (boolean) value) || maximums.stream().anyMatch(value -> (boolean) value);
        boolean hasFalseValues = minimums.stream().anyMatch(value -> !(boolean) value) || maximums.stream().anyMatch(value -> !(boolean) value);
        if (hasTrueValues && hasFalseValues) {
            return Domain.all(type);
        }
        if (hasTrueValues) {
            return Domain.create(ValueSet.of(type, true), hasNullValue);
        }
        if (hasFalseValues) {
            return Domain.create(ValueSet.of(type, false), hasNullValue);
        }
        // All nulls case is handled earlier
        throw new VerifyException("Impossible boolean statistics");
    }
    if (type.equals(BIGINT) || type.equals(INTEGER) || type.equals(DATE) || type.equals(SMALLINT) || type.equals(TINYINT)) {
        List<Range> ranges = new ArrayList<>();
        for (int i = 0; i < minimums.size(); i++) {
            long min = asLong(minimums.get(i));
            long max = asLong(maximums.get(i));
            if (isStatisticsOverflow(type, min, max)) {
                return Domain.create(ValueSet.all(type), hasNullValue);
            }
            ranges.add(Range.range(type, min, true, max, true));
        }
        return Domain.create(ValueSet.ofRanges(ranges), hasNullValue);
    }
    if (type instanceof DecimalType) {
        DecimalType decimalType = (DecimalType) type;
        List<Range> ranges = new ArrayList<>();
        if (decimalType.isShort()) {
            for (int i = 0; i < minimums.size(); i++) {
                Object min = minimums.get(i);
                Object max = maximums.get(i);
                long minValue = min instanceof Binary ? getShortDecimalValue(((Binary) min).getBytes()) : asLong(min);
                long maxValue = min instanceof Binary ? getShortDecimalValue(((Binary) max).getBytes()) : asLong(max);
                if (isStatisticsOverflow(type, minValue, maxValue)) {
                    return Domain.create(ValueSet.all(type), hasNullValue);
                }
                ranges.add(Range.range(type, minValue, true, maxValue, true));
            }
        } else {
            for (int i = 0; i < minimums.size(); i++) {
                Int128 min = Int128.fromBigEndian(((Binary) minimums.get(i)).getBytes());
                Int128 max = Int128.fromBigEndian(((Binary) maximums.get(i)).getBytes());
                ranges.add(Range.range(type, min, true, max, true));
            }
        }
        return Domain.create(ValueSet.ofRanges(ranges), hasNullValue);
    }
    if (type.equals(REAL)) {
        List<Range> ranges = new ArrayList<>();
        for (int i = 0; i < minimums.size(); i++) {
            Float min = (Float) minimums.get(i);
            Float max = (Float) maximums.get(i);
            if (min.isNaN() || max.isNaN()) {
                return Domain.create(ValueSet.all(type), hasNullValue);
            }
            ranges.add(Range.range(type, (long) floatToRawIntBits(min), true, (long) floatToRawIntBits(max), true));
        }
        return Domain.create(ValueSet.ofRanges(ranges), hasNullValue);
    }
    if (type.equals(DOUBLE)) {
        List<Range> ranges = new ArrayList<>();
        for (int i = 0; i < minimums.size(); i++) {
            Double min = (Double) minimums.get(i);
            Double max = (Double) maximums.get(i);
            if (min.isNaN() || max.isNaN()) {
                return Domain.create(ValueSet.all(type), hasNullValue);
            }
            ranges.add(Range.range(type, min, true, max, true));
        }
        return Domain.create(ValueSet.ofRanges(ranges), hasNullValue);
    }
    if (type instanceof VarcharType) {
        List<Range> ranges = new ArrayList<>();
        for (int i = 0; i < minimums.size(); i++) {
            Slice min = Slices.wrappedBuffer(((Binary) minimums.get(i)).toByteBuffer());
            Slice max = Slices.wrappedBuffer(((Binary) maximums.get(i)).toByteBuffer());
            ranges.add(Range.range(type, min, true, max, true));
        }
        return Domain.create(ValueSet.ofRanges(ranges), hasNullValue);
    }
    if (type instanceof TimestampType) {
        if (column.getPrimitiveType().getPrimitiveTypeName().equals(INT96)) {
            TrinoTimestampEncoder<?> timestampEncoder = createTimestampEncoder((TimestampType) type, timeZone);
            List<Object> values = new ArrayList<>();
            for (int i = 0; i < minimums.size(); i++) {
                Object min = minimums.get(i);
                Object max = maximums.get(i);
                // available and valid in that special case
                if (!(min instanceof Binary) || !(max instanceof Binary) || !min.equals(max)) {
                    return Domain.create(ValueSet.all(type), hasNullValue);
                }
                values.add(timestampEncoder.getTimestamp(decodeInt96Timestamp((Binary) min)));
            }
            return Domain.multipleValues(type, values, hasNullValue);
        }
        if (column.getPrimitiveType().getPrimitiveTypeName().equals(INT64)) {
            LogicalTypeAnnotation logicalTypeAnnotation = column.getPrimitiveType().getLogicalTypeAnnotation();
            if (!(logicalTypeAnnotation instanceof TimestampLogicalTypeAnnotation)) {
                // Invalid statistics. Unit and UTC adjustment are not known
                return Domain.create(ValueSet.all(type), hasNullValue);
            }
            TimestampLogicalTypeAnnotation timestampTypeAnnotation = (TimestampLogicalTypeAnnotation) logicalTypeAnnotation;
            // Bail out if the precision is not known
            if (timestampTypeAnnotation.getUnit() == null) {
                return Domain.create(ValueSet.all(type), hasNullValue);
            }
            TrinoTimestampEncoder<?> timestampEncoder = createTimestampEncoder((TimestampType) type, DateTimeZone.UTC);
            List<Range> ranges = new ArrayList<>();
            for (int i = 0; i < minimums.size(); i++) {
                long min = (long) minimums.get(i);
                long max = (long) maximums.get(i);
                ranges.add(Range.range(type, timestampEncoder.getTimestamp(decodeInt64Timestamp(min, timestampTypeAnnotation.getUnit())), true, timestampEncoder.getTimestamp(decodeInt64Timestamp(max, timestampTypeAnnotation.getUnit())), true));
            }
            return Domain.create(ValueSet.ofRanges(ranges), hasNullValue);
        }
    }
    return Domain.create(ValueSet.all(type), hasNullValue);
}

Example 12 with DATE

use of io.trino.spi.type.DateType.DATE in project trino by trinodb.

the class OracleClient method toColumnMapping.

@Override
public Optional<ColumnMapping> toColumnMapping(ConnectorSession session, Connection connection, JdbcTypeHandle typeHandle) {
    String jdbcTypeName = typeHandle.getJdbcTypeName().orElseThrow(() -> new TrinoException(JDBC_ERROR, "Type name is missing: " + typeHandle));
    Optional<ColumnMapping> mappingToVarchar = getForcedMappingToVarchar(typeHandle);
    if (mappingToVarchar.isPresent()) {
        return mappingToVarchar;
    }
    if (jdbcTypeName.equalsIgnoreCase("date")) {
        return Optional.of(ColumnMapping.longMapping(TIMESTAMP_SECONDS, oracleTimestampReadFunction(), trinoTimestampToOracleDateWriteFunction(), FULL_PUSHDOWN));
    }
    switch(typeHandle.getJdbcType()) {
        case Types.SMALLINT:
            return Optional.of(ColumnMapping.longMapping(SMALLINT, ResultSet::getShort, smallintWriteFunction(), FULL_PUSHDOWN));
        case OracleTypes.BINARY_FLOAT:
            return Optional.of(ColumnMapping.longMapping(REAL, (resultSet, columnIndex) -> floatToRawIntBits(resultSet.getFloat(columnIndex)), oracleRealWriteFunction(), FULL_PUSHDOWN));
        case OracleTypes.BINARY_DOUBLE:
        case OracleTypes.FLOAT:
            return Optional.of(ColumnMapping.doubleMapping(DOUBLE, ResultSet::getDouble, oracleDoubleWriteFunction(), FULL_PUSHDOWN));
        case OracleTypes.NUMBER:
            int actualPrecision = typeHandle.getRequiredColumnSize();
            int decimalDigits = typeHandle.getRequiredDecimalDigits();
            // Map negative scale to decimal(p+s, 0).
            int precision = actualPrecision + max(-decimalDigits, 0);
            int scale = max(decimalDigits, 0);
            Optional<Integer> numberDefaultScale = getNumberDefaultScale(session);
            RoundingMode roundingMode = getNumberRoundingMode(session);
            if (precision < scale) {
                if (roundingMode == RoundingMode.UNNECESSARY) {
                    break;
                }
                scale = min(Decimals.MAX_PRECISION, scale);
                precision = scale;
            } else if (numberDefaultScale.isPresent() && precision == PRECISION_OF_UNSPECIFIED_NUMBER) {
                precision = Decimals.MAX_PRECISION;
                scale = numberDefaultScale.get();
            } else if (precision > Decimals.MAX_PRECISION || actualPrecision <= 0) {
                break;
            }
            DecimalType decimalType = createDecimalType(precision, scale);
            // JDBC driver can return BigDecimal with lower scale than column's scale when there are trailing zeroes
            if (decimalType.isShort()) {
                return Optional.of(ColumnMapping.longMapping(decimalType, shortDecimalReadFunction(decimalType, roundingMode), shortDecimalWriteFunction(decimalType), FULL_PUSHDOWN));
            }
            return Optional.of(ColumnMapping.objectMapping(decimalType, longDecimalReadFunction(decimalType, roundingMode), longDecimalWriteFunction(decimalType), FULL_PUSHDOWN));
        case OracleTypes.CHAR:
        case OracleTypes.NCHAR:
            CharType charType = createCharType(typeHandle.getRequiredColumnSize());
            return Optional.of(ColumnMapping.sliceMapping(charType, charReadFunction(charType), oracleCharWriteFunction(), FULL_PUSHDOWN));
        case OracleTypes.VARCHAR:
        case OracleTypes.NVARCHAR:
            return Optional.of(ColumnMapping.sliceMapping(createVarcharType(typeHandle.getRequiredColumnSize()), (varcharResultSet, varcharColumnIndex) -> utf8Slice(varcharResultSet.getString(varcharColumnIndex)), varcharWriteFunction(), FULL_PUSHDOWN));
        case OracleTypes.CLOB:
        case OracleTypes.NCLOB:
            return Optional.of(ColumnMapping.sliceMapping(createUnboundedVarcharType(), (resultSet, columnIndex) -> utf8Slice(resultSet.getString(columnIndex)), varcharWriteFunction(), DISABLE_PUSHDOWN));
        // Oracle's RAW(n)
        case OracleTypes.VARBINARY:
        case OracleTypes.BLOB:
            return Optional.of(ColumnMapping.sliceMapping(VARBINARY, (resultSet, columnIndex) -> wrappedBuffer(resultSet.getBytes(columnIndex)), varbinaryWriteFunction(), DISABLE_PUSHDOWN));
        case OracleTypes.TIMESTAMP:
            return Optional.of(ColumnMapping.longMapping(TIMESTAMP_MILLIS, oracleTimestampReadFunction(), trinoTimestampToOracleTimestampWriteFunction(), FULL_PUSHDOWN));
        case OracleTypes.TIMESTAMPTZ:
            return Optional.of(oracleTimestampWithTimeZoneColumnMapping());
    }
    if (getUnsupportedTypeHandling(session) == CONVERT_TO_VARCHAR) {
        return mapToUnboundedVarchar(typeHandle);
    }
    return Optional.empty();
}

Example 13 with DATE

use of io.trino.spi.type.DateType.DATE in project trino by trinodb.

the class SingleStoreClient method toColumnMapping.

@Override
public Optional<ColumnMapping> toColumnMapping(ConnectorSession session, Connection connection, JdbcTypeHandle typeHandle) {
    String jdbcTypeName = typeHandle.getJdbcTypeName().orElseThrow(() -> new TrinoException(JDBC_ERROR, "Type name is missing: " + typeHandle));
    Optional<ColumnMapping> mapping = getForcedMappingToVarchar(typeHandle);
    if (mapping.isPresent()) {
        return mapping;
    }
    Optional<ColumnMapping> unsignedMapping = getUnsignedMapping(typeHandle);
    if (unsignedMapping.isPresent()) {
        return unsignedMapping;
    }
    if (jdbcTypeName.equalsIgnoreCase("json")) {
        return Optional.of(jsonColumnMapping());
    }
    switch(typeHandle.getJdbcType()) {
        case Types.BIT:
        case Types.BOOLEAN:
            return Optional.of(booleanColumnMapping());
        case Types.TINYINT:
            return Optional.of(tinyintColumnMapping());
        case Types.SMALLINT:
            return Optional.of(smallintColumnMapping());
        case Types.INTEGER:
            return Optional.of(integerColumnMapping());
        case Types.BIGINT:
            return Optional.of(bigintColumnMapping());
        case Types.REAL:
            // attempts to treat them as exact in comparisons may lead to problems
            return Optional.of(ColumnMapping.longMapping(REAL, (resultSet, columnIndex) -> floatToRawIntBits(resultSet.getFloat(columnIndex)), realWriteFunction(), DISABLE_PUSHDOWN));
        case Types.DOUBLE:
            return Optional.of(doubleColumnMapping());
        case Types.CHAR:
        case // TODO it it is dummy copied from StandardColumnMappings, verify if it is proper mapping
        Types.NCHAR:
            return Optional.of(defaultCharColumnMapping(typeHandle.getRequiredColumnSize(), false));
        case Types.VARCHAR:
        case Types.LONGVARCHAR:
            return Optional.of(defaultVarcharColumnMapping(typeHandle.getRequiredColumnSize(), false));
        case Types.DECIMAL:
            int precision = typeHandle.getRequiredColumnSize();
            int decimalDigits = typeHandle.getRequiredDecimalDigits();
            if (getDecimalRounding(session) == ALLOW_OVERFLOW && precision > Decimals.MAX_PRECISION) {
                int scale = min(decimalDigits, getDecimalDefaultScale(session));
                return Optional.of(decimalColumnMapping(createDecimalType(Decimals.MAX_PRECISION, scale), getDecimalRoundingMode(session)));
            }
            if (precision > Decimals.MAX_PRECISION) {
                break;
            }
            return Optional.of(decimalColumnMapping(createDecimalType(precision, max(decimalDigits, 0))));
        case Types.BINARY:
        case Types.VARBINARY:
        case Types.LONGVARBINARY:
            return Optional.of(varbinaryColumnMapping());
        case Types.DATE:
            return Optional.of(ColumnMapping.longMapping(DATE, dateReadFunctionUsingLocalDate(), dateWriteFunction()));
        case Types.TIME:
            TimeType timeType = createTimeType(getTimePrecision(typeHandle.getRequiredColumnSize()));
            return Optional.of(ColumnMapping.longMapping(timeType, singleStoreTimeReadFunction(timeType), timeWriteFunction(timeType.getPrecision())));
        case Types.TIMESTAMP:
            // TODO (https://github.com/trinodb/trino/issues/5450) Fix DST handling
            TimestampType timestampType = createTimestampType(getTimestampPrecision(typeHandle.getRequiredColumnSize()));
            return Optional.of(timestampColumnMapping(timestampType));
    }
    if (getUnsupportedTypeHandling(session) == CONVERT_TO_VARCHAR) {
        return mapToUnboundedVarchar(typeHandle);
    }
    return Optional.empty();
}