官方pyflink 例子的执行问题

官方例子: https://flink.apache.org/2020/04/09/pyflink-udf-support-flink.html 按照例子写了程序,也安装了pyflink | python -m pip install apache-flink | 代码: | from pyflink.datastream import StreamExecutionEnvironment from pyflink.table import StreamTableEnvironment, DataTypes from pyflink.table.descriptors import Schema, OldCsv, FileSystem from pyflink.table.udf import udf

env = StreamExecutionEnvironment.get_execution_environment() env.set_parallelism(1) t_env = StreamTableEnvironment.create(env)

add = udf(lambda i, j: i + j, [DataTypes.BIGINT(), DataTypes.BIGINT()], DataTypes.BIGINT())

t_env.register_function("add", add)

t_env.connect(FileSystem().path('C:/Users/xuyin/Desktop/docker_compose_test/src.txt'))
.with_format(OldCsv() .field('a', DataTypes.BIGINT()) .field('b', DataTypes.BIGINT()))
.with_schema(Schema() .field('a', DataTypes.BIGINT()) .field('b', DataTypes.BIGINT()))
.create_temporary_table('mySource')

t_env.connect(FileSystem().path('C:/Users/xuyin/Desktop/docker_compose_test/tar.txt'))
.with_format(OldCsv() .field('sum', DataTypes.BIGINT()))
.with_schema(Schema() .field('sum', DataTypes.BIGINT()))
.create_temporary_table('mySink')

t_env.from_path('mySource')
.select("add(a, b)")
.insert_into('mySink')

t_env.execute("tutorial_job") |

执行:

| python test_pyflink.py |

报错:

| Traceback (most recent call last): File "C:\Users\xuyin\AppData\Local\Programs\Python\Python37\lib\site-packages\pyflink\util\exceptions.py", line 147, in deco return f(*a, **kw) File "C:\Users\xuyin\AppData\Local\Programs\Python\Python37\lib\site-packages\py4j\protocol.py", line 328, in get_return_value format(target_id, ".", name), value) py4j.protocol.Py4JJavaError: An error occurred while calling o2.execute. : org.apache.flink.table.api.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'. at org.apache.flink.table.planner.plan.nodes.common.CommonPythonBase$class.checkPythonWorkerMemory(CommonPythonBase.scala:158) at org.apache.flink.table.planner.plan.nodes.common.CommonPythonBase$class.getMergedConfiguration(CommonPythonBase.scala:119) at org.apache.flink.table.planner.plan.nodes.common.CommonPythonBase$class.getConfig(CommonPythonBase.scala:102) at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecPythonCalc.getConfig(StreamExecPythonCalc.scala:35) at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecPythonCalc.translateToPlanInternal(StreamExecPythonCalc.scala:61) at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecPythonCalc.translateToPlanInternal(StreamExecPythonCalc.scala:35) at org.apache.flink.table.planner.plan.nodes.exec.ExecNode$class.translateToPlan(ExecNode.scala:58) at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecCalcBase.translateToPlan(StreamExecCalcBase.scala:38) at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecLegacySink.translateToTransformation(StreamExecLegacySink.scala:158) at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecLegacySink.translateToPlanInternal(StreamExecLegacySink.scala:106) at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecLegacySink.translateToPlanInternal(StreamExecLegacySink.scala:48) at org.apache.flink.table.planner.plan.nodes.exec.ExecNode$class.translateToPlan(ExecNode.scala:58) at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecLegacySink.translateToPlan(StreamExecLegacySink.scala:48) at org.apache.flink.table.planner.delegation.StreamPlanner$$anonfun$translateToPlan$1.apply(StreamPlanner.scala:67) at org.apache.flink.table.planner.delegation.StreamPlanner$$anonfun$translateToPlan$1.apply(StreamPlanner.scala:66) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) at scala.collection.Iterator$class.foreach(Iterator.scala:891) at scala.collection.AbstractIterator.foreach(Iterator.scala:1334) at scala.collection.IterableLike$class.foreach(IterableLike.scala:72) at scala.collection.AbstractIterable.foreach(Iterable.scala:54) at scala.collection.TraversableLike$class.map(TraversableLike.scala:234) at scala.collection.AbstractTraversable.map(Traversable.scala:104) at org.apache.flink.table.planner.delegation.StreamPlanner.translateToPlan(StreamPlanner.scala:66) at org.apache.flink.table.planner.delegation.PlannerBase.translate(PlannerBase.scala:166) at org.apache.flink.table.api.internal.TableEnvironmentImpl.translate(TableEnvironmentImpl.java:1248) at org.apache.flink.table.api.internal.TableEnvironmentImpl.translateAndClearBuffer(TableEnvironmentImpl.java:1240) at org.apache.flink.table.api.internal.TableEnvironmentImpl.execute(TableEnvironmentImpl.java:1197) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:497) at org.apache.flink.api.python.shaded.py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244) at org.apache.flink.api.python.shaded.py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357) at org.apache.flink.api.python.shaded.py4j.Gateway.invoke(Gateway.java:282) at org.apache.flink.api.python.shaded.py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132) at org.apache.flink.api.python.shaded.py4j.commands.CallCommand.execute(CallCommand.java:79) at org.apache.flink.api.python.shaded.py4j.GatewayConnection.run(GatewayConnection.java:238) at java.lang.Thread.run(Thread.java:745)

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "test_pyflink.py", line 34, in t_env.execute("tutorial_job") File "C:\Users\xuyin\AppData\Local\Programs\Python\Python37\lib\site-packages\pyflink\table\table_environment.py", line 1057, in execute return JobExecutionResult(self._j_tenv.execute(job_name)) File "C:\Users\xuyin\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:\Users\xuyin\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'." |

里面提到还要配置taskmanager.memory.task.off-heap.size这个属性吗 ,

我找到..\Python\Python37\Lib\site-packages\pyflink\conf下面的flink-conf.yaml

增加了taskmanager.memory.task.off-heap.size: 100m

但是还是报一样的错误

请问用python安装的flink去哪里配置属性

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