Examples with BridgingSqlAggFunction org.apache.flink.table.planner.functions.bridging.BridgingSqlAggFunction used on opensource projects

Example 1 with BridgingSqlAggFunction

use of org.apache.flink.table.planner.functions.bridging.BridgingSqlAggFunction in project flink by apache.

the class CommonPythonUtil method extractPythonAggregateFunctionInfosFromAggregateCall.

public static Tuple2<int[], PythonFunctionInfo[]> extractPythonAggregateFunctionInfosFromAggregateCall(AggregateCall[] aggCalls) {
    Map<Integer, Integer> inputNodes = new LinkedHashMap<>();
    List<PythonFunctionInfo> pythonFunctionInfos = new ArrayList<>();
    for (AggregateCall aggregateCall : aggCalls) {
        List<Integer> inputs = new ArrayList<>();
        List<Integer> argList = aggregateCall.getArgList();
        for (Integer arg : argList) {
            if (inputNodes.containsKey(arg)) {
                inputs.add(inputNodes.get(arg));
            } else {
                Integer inputOffset = inputNodes.size();
                inputs.add(inputOffset);
                inputNodes.put(arg, inputOffset);
            }
        }
        PythonFunction pythonFunction = null;
        SqlAggFunction aggregateFunction = aggregateCall.getAggregation();
        if (aggregateFunction instanceof AggSqlFunction) {
            pythonFunction = (PythonFunction) ((AggSqlFunction) aggregateFunction).aggregateFunction();
        } else if (aggregateFunction instanceof BridgingSqlAggFunction) {
            pythonFunction = (PythonFunction) ((BridgingSqlAggFunction) aggregateFunction).getDefinition();
        }
        PythonFunctionInfo pythonFunctionInfo = new PythonAggregateFunctionInfo(pythonFunction, inputs.toArray(), aggregateCall.filterArg, aggregateCall.isDistinct());
        pythonFunctionInfos.add(pythonFunctionInfo);
    }
    int[] udafInputOffsets = inputNodes.keySet().stream().mapToInt(i -> i).toArray();
    return Tuple2.of(udafInputOffsets, pythonFunctionInfos.toArray(new PythonFunctionInfo[0]));
}

Example 2 with BridgingSqlAggFunction

use of org.apache.flink.table.planner.functions.bridging.BridgingSqlAggFunction in project flink by apache.

the class RexNodeJsonSerializer method serializeSqlOperator.

// --------------------------------------------------------------------------------------------
/**
 * Logic shared with {@link AggregateCallJsonSerializer}.
 */
static void serializeSqlOperator(SqlOperator operator, JsonGenerator gen, SerializerProvider serializerProvider, boolean serializeCatalogObjects) throws IOException {
    if (operator.getSyntax() != SqlSyntax.FUNCTION) {
        gen.writeStringField(FIELD_NAME_SYNTAX, calciteToSerializable(operator.getSyntax()).getValue());
    }
    if (operator instanceof BridgingSqlFunction) {
        final BridgingSqlFunction function = (BridgingSqlFunction) operator;
        serializeBridgingSqlFunction(function.getName(), function.getResolvedFunction(), gen, serializerProvider, serializeCatalogObjects);
    } else if (operator instanceof BridgingSqlAggFunction) {
        final BridgingSqlAggFunction function = (BridgingSqlAggFunction) operator;
        serializeBridgingSqlFunction(function.getName(), function.getResolvedFunction(), gen, serializerProvider, serializeCatalogObjects);
    } else if (operator instanceof ScalarSqlFunction || operator instanceof TableSqlFunction || operator instanceof AggSqlFunction) {
        throw legacyException(operator.toString());
    } else {
        // We assume that all regular SqlOperators are internal. Only the function definitions
        // stack is exposed to the user and can thus be external.
        gen.writeStringField(FIELD_NAME_INTERNAL_NAME, BuiltInSqlOperator.toQualifiedName(operator));
    }
}