use of org.apache.hadoop.hive.ql.udf.generic.GenericUDFBaseBinary in project hive by apache.
the class RexNodeConverter method convert.
private RexNode convert(ExprNodeGenericFuncDesc func) throws SemanticException {
ExprNodeDesc tmpExprNode;
RexNode tmpRN;
List<RexNode> childRexNodeLst = new ArrayList<RexNode>();
Builder<RelDataType> argTypeBldr = ImmutableList.<RelDataType>builder();
// TODO: 1) Expand to other functions as needed 2) What about types other than primitive.
TypeInfo tgtDT = null;
GenericUDF tgtUdf = func.getGenericUDF();
boolean isNumeric = (tgtUdf instanceof GenericUDFBaseBinary && func.getTypeInfo().getCategory() == Category.PRIMITIVE && (PrimitiveGrouping.NUMERIC_GROUP == PrimitiveObjectInspectorUtils.getPrimitiveGrouping(((PrimitiveTypeInfo) func.getTypeInfo()).getPrimitiveCategory())));
boolean isCompare = !isNumeric && tgtUdf instanceof GenericUDFBaseCompare;
boolean isWhenCase = tgtUdf instanceof GenericUDFWhen || tgtUdf instanceof GenericUDFCase;
boolean isTransformableTimeStamp = func.getGenericUDF() instanceof GenericUDFUnixTimeStamp && func.getChildren().size() != 0;
if (isNumeric) {
tgtDT = func.getTypeInfo();
assert func.getChildren().size() == 2;
// TODO: checking 2 children is useless, compare already does that.
} else if (isCompare && (func.getChildren().size() == 2)) {
tgtDT = FunctionRegistry.getCommonClassForComparison(func.getChildren().get(0).getTypeInfo(), func.getChildren().get(1).getTypeInfo());
} else if (isWhenCase) {
// as they are not allowed
if (checkForStatefulFunctions(func.getChildren())) {
throw new SemanticException("Stateful expressions cannot be used inside of CASE");
}
} else if (isTransformableTimeStamp) {
// unix_timestamp(args) -> to_unix_timestamp(args)
func = ExprNodeGenericFuncDesc.newInstance(new GenericUDFToUnixTimeStamp(), func.getChildren());
}
for (ExprNodeDesc childExpr : func.getChildren()) {
tmpExprNode = childExpr;
if (tgtDT != null && TypeInfoUtils.isConversionRequiredForComparison(tgtDT, childExpr.getTypeInfo())) {
if (isCompare) {
// For compare, we will convert requisite children
tmpExprNode = ParseUtils.createConversionCast(childExpr, (PrimitiveTypeInfo) tgtDT);
} else if (isNumeric) {
// For numeric, we'll do minimum necessary cast - if we cast to the type
// of expression, bad things will happen.
PrimitiveTypeInfo minArgType = ExprNodeDescUtils.deriveMinArgumentCast(childExpr, tgtDT);
tmpExprNode = ParseUtils.createConversionCast(childExpr, minArgType);
} else {
throw new AssertionError("Unexpected " + tgtDT + " - not a numeric op or compare");
}
}
argTypeBldr.add(TypeConverter.convert(tmpExprNode.getTypeInfo(), cluster.getTypeFactory()));
tmpRN = convert(tmpExprNode);
childRexNodeLst.add(tmpRN);
}
// See if this is an explicit cast.
RexNode expr = null;
RelDataType retType = null;
expr = handleExplicitCast(func, childRexNodeLst);
if (expr == null) {
// This is not a cast; process the function.
retType = TypeConverter.convert(func.getTypeInfo(), cluster.getTypeFactory());
SqlOperator calciteOp = SqlFunctionConverter.getCalciteOperator(func.getFuncText(), func.getGenericUDF(), argTypeBldr.build(), retType);
if (calciteOp.getKind() == SqlKind.CASE) {
// If it is a case operator, we need to rewrite it
childRexNodeLst = rewriteCaseChildren(func, childRexNodeLst);
} else if (HiveExtractDate.ALL_FUNCTIONS.contains(calciteOp)) {
// If it is a extract operator, we need to rewrite it
childRexNodeLst = rewriteExtractDateChildren(calciteOp, childRexNodeLst);
} else if (HiveFloorDate.ALL_FUNCTIONS.contains(calciteOp)) {
// If it is a floor <date> operator, we need to rewrite it
childRexNodeLst = rewriteFloorDateChildren(calciteOp, childRexNodeLst);
}
expr = cluster.getRexBuilder().makeCall(calciteOp, childRexNodeLst);
} else {
retType = expr.getType();
}
// an exception
if (flattenExpr && (expr instanceof RexCall) && !(((RexCall) expr).getOperator() instanceof SqlCastFunction)) {
RexCall call = (RexCall) expr;
expr = cluster.getRexBuilder().makeCall(retType, call.getOperator(), RexUtil.flatten(call.getOperands(), call.getOperator()));
}
return expr;
}
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