Hi,
你可以创建个JIRA，让Timo看看，UDAF引入了新的类型推导，可能有问题
Best,
Jingsong
On Tue, Jun 29, 2021 at 7:10 AM Roc Marshal <flin...@126.com> wrote:
>
>
> Hi, All.
>
>
> 请教一个在最新的1.13.1 api升级调研中遇到的问题，谢谢大家：
>
>
> 版本: 1.13.1
> 运行模式： IDE-application
> ---------------------------------------------------------------
> about udf define...
>
>
> public static class UDFAggregateFunction extends
> AggregateFunction<Double, AccumulatorBean> {
>
>
> //返回最终结果
> @Override
> public Double getValue(AccumulatorBean acc) {
> return acc.totalPrice / acc.totalNum;
> }
>
>
> //构建保存中间结果的对象
> @Override
> public AccumulatorBean createAccumulator() {
> return new AccumulatorBean();
> }
>
>
> //减去要撤回的值
> public void retract(AccumulatorBean acc, double price, long num) {
> acc.totalPrice -= price * num;
> acc.totalNum -= num;
> }
>
>
> //从每个分区把数据取出来然后合并
> public void merge(AccumulatorBean acc, Iterable<AccumulatorBean>
> it) {
>
>
> Iterator<AccumulatorBean> iter = it.iterator();
> while (iter.hasNext()) {
> AccumulatorBean a = iter.next();
> this.accumulate(acc, a.totalPrice, a.totalNum);
> }
> }
>
>
> //重置内存中值时调用
> public void resetAccumulator(AccumulatorBean acc) {
> acc.totalNum = 0;
> acc.totalPrice = 0;
> }
>
>
> //和传入数据进行计算的逻辑
> public void accumulate(AccumulatorBean acc, double price, long
> num) {
> acc.totalPrice += price * num;
> acc.totalNum += num;
> }
> }
>
>
>
> ------------------------------------------------------------------------------------------------------------
> About main calling....
> //TODO 流批一体的 Table API
> TableEnvironment tableEnvironment =
> TableEnvironment.create(EnvironmentSettings.newInstance().useBlinkPlanner().inBatchMode().build());
> List<Row> dataList = new ArrayList<>();
> dataList.add(Row.of("张三", "可乐", 20.0D, 4L));
> dataList.add(Row.of("张三", "果汁", 10.0D, 4L));
> dataList.add(Row.of("李四", "咖啡", 10.0D, 2L));
> Table table = tableEnvironment.fromValues(DataTypes.ROW(
> DataTypes.FIELD("user", DataTypes.STRING()),
> DataTypes.FIELD("name", DataTypes.STRING()),
> DataTypes.FIELD("price", DataTypes.DOUBLE()),
> DataTypes.FIELD("num", DataTypes.BIGINT())
> ),
> dataList);
> tableEnvironment.createTemporaryView("orders", table);
>
>
> tableEnvironment.createTemporaryFunction("c_agg", new
> UDFAggregateFunction());
>
>
> tableEnvironment.executeSql("select user, c_agg(price, num) as
> udf_field from orders group by user").print();
>
>
>
>
>
>
>
> 异常堆栈---------------------------------------------------------------------------------
>
>
>
>
> default_catalog.default_database.c_agg(DOUBLE, BIGINT)
> at org.apache.flink.table.planner.calcite.FlinkPlannerImpl.org
> $apache$flink$table$planner$calcite$FlinkPlannerImpl$$validate(FlinkPlannerImpl.scala:157)
> at
> org.apache.flink.table.planner.calcite.FlinkPlannerImpl.validate(FlinkPlannerImpl.scala:110)
> at
> org.apache.flink.table.planner.operations.SqlToOperationConverter.convert(SqlToOperationConverter.java:201)
> at
> org.apache.flink.table.planner.delegation.ParserImpl.parse(ParserImpl.java:101)
> at
> org.apache.flink.table.api.internal.TableEnvironmentImpl.executeSql(TableEnvironmentImpl.java:724)
> at
> com.intsmaze.flink.table.udf.aggre.AggregateFunctionTemplate.main(AggregateFunctionTemplate.java:139)
> Caused by: org.apache.flink.table.api.ValidationException: Invalid
> function call:
> default_catalog.default_database.c_agg(DOUBLE, BIGINT)
> at
> org.apache.flink.table.types.inference.TypeInferenceUtil.createInvalidCallException(TypeInferenceUtil.java:194)
> at
> org.apache.flink.table.planner.functions.inference.TypeInferenceOperandChecker.checkOperandTypes(TypeInferenceOperandChecker.java:89)
> at
> org.apache.calcite.sql.SqlOperator.checkOperandTypes(SqlOperator.java:679)
> at
> org.apache.calcite.sql.SqlOperator.validateOperands(SqlOperator.java:444)
> at org.apache.calcite.sql.SqlFunction.deriveType(SqlFunction.java:330)
> at org.apache.calcite.sql.SqlFunction.deriveType(SqlFunction.java:226)
> at
> org.apache.calcite.sql.validate.SqlValidatorImpl$DeriveTypeVisitor.visit(SqlValidatorImpl.java:5709)
> at
> org.apache.calcite.sql.validate.SqlValidatorImpl$DeriveTypeVisitor.visit(SqlValidatorImpl.java:5696)
> at org.apache.calcite.sql.SqlCall.accept(SqlCall.java:139)
> at
> org.apache.calcite.sql.validate.SqlValidatorImpl.deriveTypeImpl(SqlValidatorImpl.java:1735)
> at
> org.apache.calcite.sql.validate.SqlValidatorImpl.deriveType(SqlValidatorImpl.java:1726)
> at org.apache.calcite.sql.SqlAsOperator.deriveType(SqlAsOperator.java:133)
> at
> org.apache.calcite.sql.validate.SqlValidatorImpl$DeriveTypeVisitor.visit(SqlValidatorImpl.java:5709)
> at
> org.apache.calcite.sql.validate.SqlValidatorImpl$DeriveTypeVisitor.visit(SqlValidatorImpl.java:5696)
> at org.apache.calcite.sql.SqlCall.accept(SqlCall.java:139)
> at
> org.apache.calcite.sql.validate.SqlValidatorImpl.deriveTypeImpl(SqlValidatorImpl.java:1735)
> at
> org.apache.calcite.sql.validate.SqlValidatorImpl.deriveType(SqlValidatorImpl.java:1726)
> at
> org.apache.calcite.sql.validate.SqlValidatorImpl.expandSelectItem(SqlValidatorImpl.java:420)
> at
> org.apache.calcite.sql.validate.SqlValidatorImpl.validateSelectList(SqlValidatorImpl.java:4060)
> at
> org.apache.calcite.sql.validate.SqlValidatorImpl.validateSelect(SqlValidatorImpl.java:3346)
> at
> org.apache.calcite.sql.validate.SelectNamespace.validateImpl(SelectNamespace.java:60)
> at
> org.apache.calcite.sql.validate.AbstractNamespace.validate(AbstractNamespace.java:84)
> at
> org.apache.calcite.sql.validate.SqlValidatorImpl.validateNamespace(SqlValidatorImpl.java:996)
> at
> org.apache.calcite.sql.validate.SqlValidatorImpl.validateQuery(SqlValidatorImpl.java:974)
> at org.apache.calcite.sql.SqlSelect.validate(SqlSelect.java:232)
> at
> org.apache.calcite.sql.validate.SqlValidatorImpl.validateScopedExpression(SqlValidatorImpl.java:951)
> at
> org.apache.calcite.sql.validate.SqlValidatorImpl.validate(SqlValidatorImpl.java:703)
> at org.apache.flink.table.planner.calcite.FlinkPlannerImpl.org
> $apache$flink$table$planner$calcite$FlinkPlannerImpl$$validate(FlinkPlannerImpl.scala:152)
> ... 5 more
> Caused by: org.apache.flink.table.api.ValidationException: Invalid input
> arguments. Expected signatures are:
> default_catalog.default_database.c_agg(price => DOUBLE NOT NULL, num =>
> BIGINT NOT NULL)
> at
> org.apache.flink.table.types.inference.TypeInferenceUtil.createInvalidInputException(TypeInferenceUtil.java:181)
> at
> org.apache.flink.table.planner.functions.inference.TypeInferenceOperandChecker.checkOperandTypesOrError(TypeInferenceOperandChecker.java:124)
> at
> org.apache.flink.table.planner.functions.inference.TypeInferenceOperandChecker.checkOperandTypes(TypeInferenceOperandChecker.java:86)
> ... 31 more
> Caused by: org.apache.flink.table.api.ValidationException: Invalid
> argument type at position 0. Data type DOUBLE NOT NULL expected but DOUBLE
> passed.
> at
> org.apache.flink.table.types.inference.TypeInferenceUtil.adaptArguments(TypeInferenceUtil.java:137)
> at
> org.apache.flink.table.types.inference.TypeInferenceUtil.adaptArguments(TypeInferenceUtil.java:101)
> at
> org.apache.flink.table.planner.functions.inference.TypeInferenceOperandChecker.checkOperandTypesOrError(TypeInferenceOperandChecker.java:122)
> ... 32 more
>
>
>
>
> 我单步调试跟踪了一下信息，发现这个类型和方法签名是可以对的上的。
> 备注： 使用 tableEnvironment.registerFunction("c_agg", new
> UDFAggregateFunction()); 就没有问题。可以正常运行。
>
>
> 谢谢。
>
>
>
>
>
>
>
--
Best, Jingsong Lee
