抱歉，报错信息理解错误，问题已经解决，感谢大佬。
在 2021-02-03 10:23:32，"肖越" <18242988...@163.com> 写道：
>pyflink1.11 测试udf函数，将表格定义的一列Double类型输入，计算这一列数值的累乘积，
>结果返回一个Double类型数值，已经配置了taskmanager.memory.task.off-heap.size，但没什么用。
>结果print报错：
>Traceback (most recent call last):
> File "C:*****/udtf_test.py", line 42, in <module>
> env.execute_sql('INSERT INTO print_result SELECT multi_production(YLDRATE)
> FROM query_result')
> File
> "C:\****\AppData\Local\Programs\Python\Python37\lib\site-packages\pyflink\table\table_environment.py",
> line 543, in execute_sql
> return TableResult(self._j_tenv.executeSql(stmt))
> File
> "C:\****\AppData\Local\Programs\Python\Python37\lib\site-packages\py4j\java_gateway.py",
> line 1286, in __call__
> answer, self.gateway_client, self.target_id, self.name)
> File
> "C:\****\AppData\Local\Programs\Python\Python37\lib\site-packages\pyflink\util\exceptions.py",
> line 154, in deco
> raise exception_mapping[exception](s.split(': ', 1)[1], stack_trace)
>pyflink.util.exceptions.TableException: "The configured Task Off-Heap Memory 0
>bytes is less than the least required Python worker Memory 79 mb. The Task
>Off-Heap Memory can be configured using the configuration key
>'taskmanager.memory.task.off-heap.size'."
>
>
>【代码如下】：
>s_env = StreamExecutionEnvironment.get_execution_environment()
>s_env.set_stream_time_characteristic(TimeCharacteristic.EventTime)
># s_env.set_parallelism(8)
>env = StreamTableEnvironment.create(s_env,
>
> environment_settings=EnvironmentSettings.new_instance().in_streaming_mode().use_blink_planner().build())
>env.get_config().get_configuration().set_string("taskmanager.memory.task.off-heap.size",
> '0m')
># 注册源表
>env.execute_sql(get_table_ddl('TP_GL_DAY'))
>env.execute_sql(get_table_ddl('TS_PF_SEC_YLDRATE'))
>
>
># 注册输出表
>out_ddl = '''
> CREATE TABLE print_result (
> yldrate1 DOUBLE
> ) WITH (
> 'connector' = 'print'
> )
>'''
>env.execute_sql(out_ddl)
># 定义及执行SQL
>log_query = "SELECT BIZ_DATE, YLDRATE, PF_ID, SYMBOL_ID FROM TP_GL_DAY JOIN
>TS_PF_SEC_YLDRATE ON DAY_ID = BIZ_DATE WHERE PF_ID = '1234' "
>view_table = env.sql_query(log_query)
>env.register_table('query_result', view_table)
>
>
># 定义计算逻辑函数
>@udf(input_types=DataTypes.DOUBLE(), result_type=DataTypes.DOUBLE(),
>udf_type="pandas")
>def multi_production(yldrate):
> yldrate_1 = yldrate + 1
> return np.prod(yldrate_1) - 1
>
>
># 注册函数
>env.register_function('multi_production', multi_production)
>env.execute_sql('INSERT INTO print_result SELECT multi_production(YLDRATE)
>FROM query_result')
>query_result.print_schema()
>env.execute('my_udf_job')
>
