Examples with RETURN_NULL_ON_NULL com.facebook.presto.operator.scalar.ScalarFunctionImplementationChoice.NullConvention.RETURN_NULL_ON_NULL used on opensource projects

Example 1 with RETURN_NULL_ON_NULL

use of com.facebook.presto.operator.scalar.ScalarFunctionImplementationChoice.NullConvention.RETURN_NULL_ON_NULL in project presto by prestodb.

the class AbstractGreatestLeast method specialize.

@Override
public BuiltInScalarFunctionImplementation specialize(BoundVariables boundVariables, int arity, FunctionAndTypeManager functionAndTypeManager) {
    Type type = boundVariables.getTypeVariable("E");
    checkArgument(type.isOrderable(), "Type must be orderable");
    MethodHandle compareMethod = functionAndTypeManager.getJavaScalarFunctionImplementation(functionAndTypeManager.resolveOperator(operatorType, fromTypes(type, type))).getMethodHandle();
    List<Class<?>> javaTypes = IntStream.range(0, arity).mapToObj(i -> type.getJavaType()).collect(toImmutableList());
    Class<?> clazz = generate(javaTypes, type, compareMethod);
    MethodHandle methodHandle = methodHandle(clazz, getSignature().getNameSuffix(), javaTypes.toArray(new Class<?>[javaTypes.size()]));
    return new BuiltInScalarFunctionImplementation(false, nCopies(javaTypes.size(), valueTypeArgumentProperty(RETURN_NULL_ON_NULL)), methodHandle);
}

Example 2 with RETURN_NULL_ON_NULL

use of com.facebook.presto.operator.scalar.ScalarFunctionImplementationChoice.NullConvention.RETURN_NULL_ON_NULL in project presto by prestodb.

the class JsonToRowCast method specialize.

@Override
public BuiltInScalarFunctionImplementation specialize(BoundVariables boundVariables, int arity, FunctionAndTypeManager functionAndTypeManager) {
    checkArgument(arity == 1, "Expected arity to be 1");
    RowType rowType = (RowType) boundVariables.getTypeVariable("T");
    checkCondition(canCastFromJson(rowType), INVALID_CAST_ARGUMENT, "Cannot cast JSON to %s", rowType);
    List<Field> rowFields = rowType.getFields();
    BlockBuilderAppender[] fieldAppenders = rowFields.stream().map(rowField -> createBlockBuilderAppender(rowField.getType())).toArray(BlockBuilderAppender[]::new);
    MethodHandle methodHandle = METHOD_HANDLE.bindTo(rowType).bindTo(fieldAppenders).bindTo(getFieldNameToIndex(rowFields));
    return new BuiltInScalarFunctionImplementation(true, ImmutableList.of(valueTypeArgumentProperty(RETURN_NULL_ON_NULL)), methodHandle);
}

Example 3 with RETURN_NULL_ON_NULL

use of com.facebook.presto.operator.scalar.ScalarFunctionImplementationChoice.NullConvention.RETURN_NULL_ON_NULL in project presto by prestodb.

the class ArrayJoin method specializeArrayJoin.

private static BuiltInScalarFunctionImplementation specializeArrayJoin(Map<String, Type> types, FunctionAndTypeManager functionAndTypeManager, List<Boolean> nullableArguments, MethodHandle methodHandleStack, MethodHandle methodHandleProvidedBlock) {
    Type type = types.get("T");
    List<ArgumentProperty> argumentProperties = nullableArguments.stream().map(nullable -> nullable ? valueTypeArgumentProperty(USE_BOXED_TYPE) : valueTypeArgumentProperty(RETURN_NULL_ON_NULL)).collect(toImmutableList());
    if (type instanceof UnknownType) {
        return new BuiltInScalarFunctionImplementation(false, argumentProperties, methodHandleStack.bindTo(null), Optional.empty());
    } else {
        try {
            MethodHandle cast = functionAndTypeManager.getJavaScalarFunctionImplementation(functionAndTypeManager.lookupCast(CAST, type.getTypeSignature(), VARCHAR_TYPE_SIGNATURE)).getMethodHandle();
            MethodHandle getter;
            Class<?> elementType = type.getJavaType();
            if (elementType == boolean.class) {
                getter = GET_BOOLEAN;
            } else if (elementType == double.class) {
                getter = GET_DOUBLE;
            } else if (elementType == long.class) {
                getter = GET_LONG;
            } else if (elementType == Slice.class) {
                getter = GET_SLICE;
            } else {
                throw new UnsupportedOperationException("Unsupported type: " + elementType.getName());
            }
            // if the cast doesn't take a SqlFunctionProperties, create an adapter that drops the provided session
            if (cast.type().parameterArray()[0] != SqlFunctionProperties.class) {
                cast = MethodHandles.dropArguments(cast, 0, SqlFunctionProperties.class);
            }
            // Adapt a target cast that takes (SqlFunctionProperties, ?) to one that takes (Block, int, SqlFunctionProperties), which will be invoked by the implementation
            // The first two arguments (Block, int) are filtered through the element type's getXXX method to produce the underlying value that needs to be passed to
            // the cast.
            cast = MethodHandles.permuteArguments(cast, MethodType.methodType(Slice.class, cast.type().parameterArray()[1], cast.type().parameterArray()[0]), 1, 0);
            cast = MethodHandles.dropArguments(cast, 1, int.class);
            cast = MethodHandles.dropArguments(cast, 1, Block.class);
            cast = MethodHandles.foldArguments(cast, getter.bindTo(type));
            MethodHandle targetStack = MethodHandles.insertArguments(methodHandleStack, 0, cast);
            MethodHandle targetProvidedBlock = MethodHandles.insertArguments(methodHandleProvidedBlock, 0, cast);
            return new BuiltInScalarFunctionImplementation(ImmutableList.of(new ScalarFunctionImplementationChoice(false, argumentProperties, STACK, targetStack, Optional.empty()), new ScalarFunctionImplementationChoice(false, argumentProperties, PROVIDED_BLOCKBUILDER, targetProvidedBlock, Optional.empty())));
        } catch (PrestoException e) {
            throw new PrestoException(INVALID_FUNCTION_ARGUMENT, format("Input type %s not supported", type), e);
        }
    }
}