use of com.google.zetasql.ZetaSQLResolvedNodeKind.ResolvedNodeKind.RESOLVED_COLUMN_REF in project beam by apache.
the class AggregateScanConverter method convertAggCall.
private AggregateCall convertAggCall(ResolvedComputedColumn computedColumn, int columnRefOff, int groupCount, RelNode input) {
ResolvedAggregateFunctionCall aggregateFunctionCall = (ResolvedAggregateFunctionCall) computedColumn.getExpr();
// Reject AVG(INT64)
if (aggregateFunctionCall.getFunction().getName().equals("avg")) {
FunctionSignature signature = aggregateFunctionCall.getSignature();
if (signature.getFunctionArgumentList().get(0).getType().getKind().equals(TypeKind.TYPE_INT64)) {
throw new UnsupportedOperationException(AVG_ILLEGAL_LONG_INPUT_TYPE);
}
}
// Reject aggregation DISTINCT
if (aggregateFunctionCall.getDistinct()) {
throw new UnsupportedOperationException("Does not support " + aggregateFunctionCall.getFunction().getSqlName() + " DISTINCT. 'SELECT DISTINCT' syntax could be used to deduplicate before" + " aggregation.");
}
final SqlAggFunction sqlAggFunction;
if (aggregateFunctionCall.getFunction().getGroup().equals(BeamZetaSqlCatalog.USER_DEFINED_JAVA_AGGREGATE_FUNCTIONS)) {
// Create a new operator for user-defined functions.
SqlReturnTypeInference typeInference = x -> ZetaSqlCalciteTranslationUtils.toCalciteType(aggregateFunctionCall.getFunction().getSignatureList().get(0).getResultType().getType(), // TODO(BEAM-9514) set nullable=true
false, getCluster().getRexBuilder());
UdafImpl<?, ?, ?> impl = new UdafImpl<>(getExpressionConverter().userFunctionDefinitions.javaAggregateFunctions().get(aggregateFunctionCall.getFunction().getNamePath()));
sqlAggFunction = SqlOperators.createUdafOperator(aggregateFunctionCall.getFunction().getName(), typeInference, impl);
} else {
// Look up builtin functions in SqlOperatorMappingTable.
sqlAggFunction = (SqlAggFunction) SqlOperatorMappingTable.create(aggregateFunctionCall);
if (sqlAggFunction == null) {
throw new UnsupportedOperationException("Does not support ZetaSQL aggregate function: " + aggregateFunctionCall.getFunction().getName());
}
}
List<Integer> argList = new ArrayList<>();
ResolvedAggregateFunctionCall expr = ((ResolvedAggregateFunctionCall) computedColumn.getExpr());
List<ZetaSQLResolvedNodeKind.ResolvedNodeKind> resolvedNodeKinds = Arrays.asList(RESOLVED_CAST, RESOLVED_COLUMN_REF, RESOLVED_GET_STRUCT_FIELD);
for (int i = 0; i < expr.getArgumentList().size(); i++) {
// Throw an error if aggregate function's input isn't either a ColumnRef or a cast(ColumnRef).
// TODO: is there a general way to handle aggregation calls conversion?
ZetaSQLResolvedNodeKind.ResolvedNodeKind resolvedNodeKind = expr.getArgumentList().get(i).nodeKind();
if (i == 0 && resolvedNodeKinds.contains(resolvedNodeKind)) {
argList.add(columnRefOff);
} else if (i > 0 && resolvedNodeKind == RESOLVED_LITERAL) {
continue;
} else {
throw new UnsupportedOperationException("Aggregate function only accepts Column Reference or CAST(Column Reference) as the first argument and " + "Literals as subsequent arguments as its inputs");
}
}
String aggName = getTrait().resolveAlias(computedColumn.getColumn());
return AggregateCall.create(sqlAggFunction, false, false, false, argList, -1, null, RelCollations.EMPTY, groupCount, input, // When we pass null as the return type, Calcite infers it for us.
null, aggName);
}
Aggregations