Examples with DoubleType io.trino.spi.type.DoubleType used on opensource projects

Example 1 with DoubleType

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

the class TestHiveBucketing method toNativeContainerValue.

private static Object toNativeContainerValue(Type type, Object hiveValue) {
    if (hiveValue == null) {
        return null;
    }
    if (type instanceof ArrayType) {
        BlockBuilder blockBuilder = type.createBlockBuilder(null, 1);
        BlockBuilder subBlockBuilder = blockBuilder.beginBlockEntry();
        for (Object subElement : (Iterable<?>) hiveValue) {
            appendToBlockBuilder(type.getTypeParameters().get(0), subElement, subBlockBuilder);
        }
        blockBuilder.closeEntry();
        return type.getObject(blockBuilder, 0);
    }
    if (type instanceof RowType) {
        BlockBuilder blockBuilder = type.createBlockBuilder(null, 1);
        BlockBuilder subBlockBuilder = blockBuilder.beginBlockEntry();
        int field = 0;
        for (Object subElement : (Iterable<?>) hiveValue) {
            appendToBlockBuilder(type.getTypeParameters().get(field), subElement, subBlockBuilder);
            field++;
        }
        blockBuilder.closeEntry();
        return type.getObject(blockBuilder, 0);
    }
    if (type instanceof MapType) {
        BlockBuilder blockBuilder = type.createBlockBuilder(null, 1);
        BlockBuilder subBlockBuilder = blockBuilder.beginBlockEntry();
        for (Entry<?, ?> entry : ((Map<?, ?>) hiveValue).entrySet()) {
            appendToBlockBuilder(type.getTypeParameters().get(0), entry.getKey(), subBlockBuilder);
            appendToBlockBuilder(type.getTypeParameters().get(1), entry.getValue(), subBlockBuilder);
        }
        blockBuilder.closeEntry();
        return type.getObject(blockBuilder, 0);
    }
    if (type instanceof BooleanType) {
        return hiveValue;
    }
    if (type instanceof TinyintType) {
        return (long) (byte) hiveValue;
    }
    if (type instanceof SmallintType) {
        return (long) (short) hiveValue;
    }
    if (type instanceof IntegerType) {
        return (long) (int) hiveValue;
    }
    if (type instanceof BigintType) {
        return hiveValue;
    }
    if (type instanceof RealType) {
        return (long) Float.floatToRawIntBits((float) hiveValue);
    }
    if (type instanceof DoubleType) {
        return hiveValue;
    }
    if (type instanceof VarcharType) {
        return Slices.utf8Slice(hiveValue.toString());
    }
    if (type instanceof DateType) {
        return (long) ((Date) hiveValue).toEpochDay();
    }
    throw new IllegalArgumentException("Unsupported bucketing type: " + type);
}

Example 2 with DoubleType

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

the class DomainTranslator method extractDisjuncts.

private List<Expression> extractDisjuncts(Session session, Type type, Ranges ranges, SymbolReference reference) {
    List<Expression> disjuncts = new ArrayList<>();
    List<Expression> singleValues = new ArrayList<>();
    List<Range> orderedRanges = ranges.getOrderedRanges();
    SortedRangeSet sortedRangeSet = SortedRangeSet.copyOf(type, orderedRanges);
    SortedRangeSet complement = sortedRangeSet.complement();
    List<Range> singleValueExclusionsList = complement.getOrderedRanges().stream().filter(Range::isSingleValue).collect(toList());
    List<Range> originalUnionSingleValues = SortedRangeSet.copyOf(type, singleValueExclusionsList).union(sortedRangeSet).getOrderedRanges();
    PeekingIterator<Range> singleValueExclusions = peekingIterator(singleValueExclusionsList.iterator());
    /*
        For types including NaN, it is incorrect to introduce range "all" while processing a set of ranges,
        even if the component ranges cover the entire value set.
        This is because partial ranges don't include NaN, while range "all" does.
        Example: ranges (unbounded , 1.0) and (1.0, unbounded) should not be coalesced to (unbounded, unbounded) with excluded point 1.0.
        That result would be further translated to expression "xxx <> 1.0", which is satisfied by NaN.
        To avoid error, in such case the ranges are not optimised.
         */
    if (type instanceof RealType || type instanceof DoubleType) {
        boolean originalRangeIsAll = orderedRanges.stream().anyMatch(Range::isAll);
        boolean coalescedRangeIsAll = originalUnionSingleValues.stream().anyMatch(Range::isAll);
        if (!originalRangeIsAll && coalescedRangeIsAll) {
            for (Range range : orderedRanges) {
                disjuncts.add(processRange(session, type, range, reference));
            }
            return disjuncts;
        }
    }
    for (Range range : originalUnionSingleValues) {
        if (range.isSingleValue()) {
            singleValues.add(literalEncoder.toExpression(session, range.getSingleValue(), type));
            continue;
        }
        // attempt to optimize ranges that can be coalesced as long as single value points are excluded
        List<Expression> singleValuesInRange = new ArrayList<>();
        while (singleValueExclusions.hasNext() && range.contains(singleValueExclusions.peek())) {
            singleValuesInRange.add(literalEncoder.toExpression(session, singleValueExclusions.next().getSingleValue(), type));
        }
        if (!singleValuesInRange.isEmpty()) {
            disjuncts.add(combineRangeWithExcludedPoints(session, type, reference, range, singleValuesInRange));
            continue;
        }
        disjuncts.add(processRange(session, type, range, reference));
    }
    // Add back all of the possible single values either as an equality or an IN predicate
    if (singleValues.size() == 1) {
        disjuncts.add(new ComparisonExpression(EQUAL, reference, getOnlyElement(singleValues)));
    } else if (singleValues.size() > 1) {
        disjuncts.add(new InPredicate(reference, new InListExpression(singleValues)));
    }
    return disjuncts;
}