????: ?????? pyflink1.11.0window
Hi?? kafkaTableSink??AppendStreamTableSinkfinal_result2source1??group by??final_result??mysqljoingroup by??StreamTable RetractStreamTableSink?? ??AppendStreamTableSink??RetractStreamTableSink ?? ?? ?? chengyanan1...@foxmail.com ?? ?? 2020-07-21 10:23 user-zh ?? ?? pyflink1.11.0window ?? ??pyflinkdemo?? -- -- ??: "user-zh"
?????? pyflink1.11.0window
?? ??pyflinkdemo?? -- -- ??: "user-zh"
????: ?????? pyflink1.11.0window
Hi??Sinkinsertinsert ?? ??AppendStreamTableSink requires that Table has only insert changes.?? chengyanan1...@foxmail.com ?? ?? 2020-07-20 16:23 user-zh ?? ?? pyflink1.11.0window HI ?? ??kafka Traceback (most recent call last): File "/usr/local/lib/python3.7/site-packages/pyflink/util/exceptions.py", line 147, in deco return f(*a, **kw) File "/usr/local/lib/python3.7/site-packages/py4j/protocol.py", line 328, in get_return_value format(target_id, ".", name), value) py4j.protocol.Py4JJavaError: An error occurred while calling o5.sqlUpdate. : org.apache.flink.table.api.TableException: AppendStreamTableSink requires that Table has only insert changes. at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecSink.translateToPlanInternal(StreamExecSink.scala:123) at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecSink.translateToPlanInternal(StreamExecSink.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.StreamExecSink.translateToPlan(StreamExecSink.scala:48) at org.apache.flink.table.planner.delegation.StreamPlanner$$anonfun$translateToPlan$1.apply(StreamPlanner.scala:60) at org.apache.flink.table.planner.delegation.StreamPlanner$$anonfun$translateToPlan$1.apply(StreamPlanner.scala:59) 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:59) at org.apache.flink.table.planner.delegation.PlannerBase.translate(PlannerBase.scala:153) at org.apache.flink.table.api.internal.TableEnvironmentImpl.translate(TableEnvironmentImpl.java:685) at org.apache.flink.table.api.internal.TableEnvironmentImpl.sqlUpdate(TableEnvironmentImpl.java:495) 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:498) 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:748) During handling of the above exception, another exception occurred: Traceback (most recent call last): File "tou.py", line 99, in
Re: pyflink1.11.0window
概是一个流表（需要分组汇总）关联一个维表。
>
>
> from pyflink.datastream import StreamExecutionEnvironment,
> TimeCharacteristic
> from pyflink.table import StreamTableEnvironment, DataTypes,
> EnvironmentSettings,DataTypes, CsvTableSource, CsvTableSink
> from pyflink.table.descriptors import Schema, Kafka, Json, Rowtime
> from pyflink.table.window import Tumble
>
>
>
>
> def from_kafka_to_kafka_demo():
>
>
> # use blink table planner
> env = StreamExecutionEnvironment.get_execution_environment()
>
> env.set_stream_time_characteristic(TimeCharacteristic.EventTime)
> env_settings =
> EnvironmentSettings.Builder().use_blink_planner().build()
> st_env =
> StreamTableEnvironment.create(stream_execution_environment=env,environment_settings=env_settings)
>
>
> # register source and sink
> register_rides_source(st_env)
> register_rides_sink(st_env)
> register_mysql_source(st_env)
>
>
> query = """
> select cast(sum(t1.id) as int) as id, max(t1.type) as
> type,cast(tumble_start(t1.time1, interval '4' second) as bigint) as rowtime
> from source1 t1
> group by tumble(t1.time1, interval '4' second)
> """
> count_result = st_env.sql_query(query)
> st_env.create_temporary_view('final_result', count_result)
> query2 = """
> select t1.id,t2.type,t1.rowtime from final_result t1
> left join dim_mysql t2 on t1.type=t2.id
> """
> count_result2 = st_env.sql_query(query2)
> st_env.create_temporary_view('final_result2', count_result2)
>
>
> st_env.sql_update("insert into flink_result select
> id,type,rowtime from final_result2")
> st_env.execute("2-from_kafka_to_kafka")
>
>
>
>
>
> def register_rides_source(st_env):
> source_ddl = \
> """
> create table source1(
> id int,
> time2 varchar ,
> time1 as TO_TIMESTAMP(time2,'MMddHHmmss'),
> type string,
> WATERMARK FOR time1 as time1 - INTERVAL '2' SECOND
> ) with (
> 'connector.type' = 'kafka',
> 'connector.topic' = 'tp1',
> 'connector.startup-mode' = 'latest-offset',
> 'connector.properties.bootstrap.servers' = 'localhost:9092',
> 'connector.properties.zookeeper.connect' = 'localhost:2181',
> 'format.type' = 'json',
> 'connector.version' = 'universal'
> )
> """
> st_env.sql_update(source_ddl)
>
>
> def register_mysql_source(st_env):
> source_ddl = \
> """
> CREATE TABLE dim_mysql (
> id varchar, --
> type varchar --
> ) WITH (
> 'connector.type' = 'jdbc',
> 'connector.url' = 'jdbc:mysql://localhost:3390/test',
> 'connector.table' = 'flink_test',
> 'connector.driver' = 'com.mysql.jdbc.Driver',
> 'connector.username' = '',
> 'connector.password' = '*',
> 'connector.lookup.cache.max-rows' = '5000',
> 'connector.lookup.cache.ttl' = '10min'
> )
> """
> st_env.sql_update(source_ddl)
>
>
> def register_rides_sink(st_env):
> sink_ddl = \
> """
> CREATE TABLE flink_result (
> id int,
> type varchar,
> rtime bigint,
> primary key(id)
> ) WITH (
> with (
> 'connector.type' = 'kafka',
> 'connector.topic' = 'tp4',
> 'connector.startup-mode' = 'latest-offset',
> 'connector.properties.bootstrap.servers' = 'localhost:9092',
> 'connector.properties.zookeeper.connect' = 'localhost:2181',
> 'format.type' = 'json',
> 'connector.version' = 'universal'
> )
> )
> """
> st_env.sql_update(sink_ddl)
>
>
>
>
> if __name__ == '__main__':
> from_kafka_to_kafka_demo()
>
>
>
>
>
> -- 原始邮件 --
> 发件人:
> "我自己的邮箱"
> <
> 1129656...@qq.com>;
> 发送时间: 2020年7月15日(星期三) 下午5:30
> 收件人: "user-zh"
> 主题: 回复： pyflink1.11.0window
>
>
>
> 非常感谢！
>
>
>
>
?????? pyflink1.11.0window
HI ?? ??kafka Traceback (most recent call last): File "/usr/local/lib/python3.7/site-packages/pyflink/util/exceptions.py", line 147, in deco return f(*a, **kw) File "/usr/local/lib/python3.7/site-packages/py4j/protocol.py", line 328, in get_return_value format(target_id, ".", name), value) py4j.protocol.Py4JJavaError: An error occurred while calling o5.sqlUpdate. : org.apache.flink.table.api.TableException: AppendStreamTableSink requires that Table has only insert changes. at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecSink.translateToPlanInternal(StreamExecSink.scala:123) at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecSink.translateToPlanInternal(StreamExecSink.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.StreamExecSink.translateToPlan(StreamExecSink.scala:48) at org.apache.flink.table.planner.delegation.StreamPlanner$$anonfun$translateToPlan$1.apply(StreamPlanner.scala:60) at org.apache.flink.table.planner.delegation.StreamPlanner$$anonfun$translateToPlan$1.apply(StreamPlanner.scala:59) 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:59) at org.apache.flink.table.planner.delegation.PlannerBase.translate(PlannerBase.scala:153) at org.apache.flink.table.api.internal.TableEnvironmentImpl.translate(TableEnvironmentImpl.java:685) at org.apache.flink.table.api.internal.TableEnvironmentImpl.sqlUpdate(TableEnvironmentImpl.java:495) 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:498) 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:748) During handling of the above exception, another exception occurred: Traceback (most recent call last): File "tou.py", line 99, in
?????? pyflink1.11.0window
?? -- -- ??: "user-zh"
Re: pyflink1.11.0window
下面这个例子从kafka读取json格式的数据， 然后做窗口聚合后写入es， 可以参考下代码结构， 修改相应数据字段。 这份代码你本地应该是不能运行的
from pyflink.datastream import StreamExecutionEnvironment, TimeCharacteristic
from pyflink.table import StreamTableEnvironment, DataTypes, EnvironmentSettings
from pyflink.table.udf import udf
@udf(input_types=[DataTypes.INT()], result_type=DataTypes.STRING())
def platform_code_to_name(code):
return "mobile" if code == 0 else "pc"
def log_processing():
env = StreamExecutionEnvironment.get_execution_environment()
env.set_stream_time_characteristic(TimeCharacteristic.EventTime)
env_settings = EnvironmentSettings.Builder().use_blink_planner().build()
t_env = StreamTableEnvironment.create(stream_execution_environment=env,
environment_settings=env_settings)
source_ddl = """
CREATE TABLE payment_msg(
createTime VARCHAR,
rt as TO_TIMESTAMP(createTime),
orderId BIGINT,
payAmount DOUBLE,
payPlatform INT,
paySource INT,
WATERMARK FOR rt as rt - INTERVAL '2' SECOND
) WITH (
'connector.type' = 'kafka',
'connector.version' = 'universal',
'connector.topic' = 'payment_msg_2',
'connector.properties.bootstrap.servers' = '0.0.0.0:9092',
'connector.properties.group.id' = 'test_3',
'connector.startup-mode' = 'latest-offset',
'format.type' = 'json'
)
"""
t_env.sql_update(source_ddl)
es_sink_ddl = """
CREATE TABLE es_sink (
platform VARCHAR,
pay_amount DOUBLE,
rowtime TIMESTAMP(3)
) with (
'connector.type' = 'elasticsearch',
'connector.version' = '7',
'connector.hosts' = 'http://localhost:9200',
'connector.index' = 'platform_pay_amount_1',
'connector.document-type' = 'payment',
'update-mode' = 'upsert',
'connector.flush-on-checkpoint' = 'true',
'connector.key-delimiter' = '$',
'connector.key-null-literal' = 'n/a',
'connector.bulk-flush.max-size' = '42mb',
'connector.bulk-flush.max-actions' = '32',
'connector.bulk-flush.interval' = '1000',
'connector.bulk-flush.backoff.delay' = '1000',
'format.type' = 'json'
)
"""
t_env.sql_update(es_sink_ddl)
t_env.register_function('platformcodetoname', platform_code_to_name)
query = """
select platformcodetoname(payPlatform) as platform, sum(payAmount)
as pay_amount, cast(tumble_start(rt, interval '5' seconds) as BIGINT)
as rowtime
from payment_msg
group by tumble(rt, interval '5' seconds), payPlatform
"""
count_result = t_env.sql_query(query)
t_env.create_temporary_view('windowed_values', count_result)
query2 = """
select platform, last_value(pay_amount), rowtime from
windowed_values group by platform, rowtime
"""
final_result = t_env.sql_query(query2)
final_result.execute_insert(table_path='es_sink')
if __name__ == '__main__':
log_processing()
奇怪的不朽琴师 <1129656...@qq.com> 于2020年7月15日周三 下午4:40写道：
> Shuiqiang，你好：
>
> hi，能否请求您贡献一下完整的代码的案例，我是初学者，官网的2-from_kafka_to_kafka.py这个没有窗口，我现在想要一个在此基础上有窗口的demo，尝试编了很久也未能解决。我在给这个demo加上窗口功能后总是有各种各样的问题，十分痛苦，如能帮助，感激不尽。
>
>
> 恳请所有看到此封邮件的大佬！
>
>
> 谢谢！
>
>
>
>
> -- 原始邮件 --
> 发件人:
> "user-zh"
> <
> acqua@gmail.com>;
> 发送时间: 2020年7月15日(星期三) 中午11:25
> 收件人: "user-zh"
> 主题: Re: pyflink1.11.0window
>
>
>
> 举个sql例子
> select platformcodetoname(payPlatform) as platform, sum(payAmount) as
> pay_amount, cast(tumble_start(rt, interval '5' seconds) as BIGINT) as
> rowtime
> from payment_msg group by tumble(rt, interval '5' seconds), payPlatform
> 这个query 对每5s的tumble窗口做统计。
>
> 奇怪的不朽琴师 <1129656...@qq.com> 于2020年7月15日周三 上午11:10写道：
>
> > Shuiqiang，你好：
> >
> 我的目的是每间隔一段时间做一次汇总统计，比
?????? pyflink1.11.0window
Shuiqiang hi2-from_kafka_to_kafka.py??demodemo?? ?? -- -- ??: "user-zh"
Re: pyflink1.11.0window
举个sql例子
select platformcodetoname(payPlatform) as platform, sum(payAmount) as
pay_amount, cast(tumble_start(rt, interval '5' seconds) as BIGINT) as
rowtime
from payment_msg group by tumble(rt, interval '5' seconds), payPlatform
这个query 对每5s的tumble窗口做统计。
奇怪的不朽琴师 <1129656...@qq.com> 于2020年7月15日周三 上午11:10写道：
> Shuiqiang，你好：
> 我的目的是每间隔一段时间做一次汇总统计，比如每两秒做一下汇总，请问这个需求我改如何定义window？
>
>
> -- 原始邮件 --
> 发件人:
> "user-zh"
> <
> acqua@gmail.com>;
> 发送时间: 2020年7月15日(星期三) 上午10:51
> 收件人: "user-zh"
> 主题: Re: pyflink1.11.0window
>
>
>
> 琴师你好，
> 异常栈信息org.apache.flink.table.api.ValidationException: A tumble window
> expects a size value literal.
> 看起来是接下tumble window定义的代码不太正确吧
>
> Best,
> Shuiqiang
>
> 奇怪的不朽琴师 <1129656...@qq.com> 于2020年7月15日周三 上午10:27写道：
>
> > 你好：
> >
> >
> 我按着你回复的建议改了source但是会报新的错误，请问这个是因为什么？我想调试一个window一直没有成功，请帮帮我，谢谢。
> > Traceback (most recent call last):
> > File "tou.py", line 71, in > from_kafka_to_kafka_demo()
> > File "tou.py", line 21, in from_kafka_to_kafka_demo
> > .select(" id, time1 , time1 ")\
> > File
> > "/usr/local/lib/python3.7/site-packages/pyflink/table/table.py", line
> 907,
> > in select
> > return Table(self._j_table.select(fields),
> self._t_env)
> > File
> "/usr/local/lib/python3.7/site-packages/py4j/java_gateway.py",
> > line 1286, in __call__
> > answer, self.gateway_client, self.target_id,
> self.name)
> > File
> > "/usr/local/lib/python3.7/site-packages/pyflink/util/exceptions.py",
> line
> > 147, in deco
> > return f(*a, **kw)
> > File
> "/usr/local/lib/python3.7/site-packages/py4j/protocol.py",
> > line 328, in get_return_value
> > format(target_id, ".", name), value)
> > py4j.protocol.Py4JJavaError: An error occurred while calling
> o26.select.
> > : org.apache.flink.table.api.ValidationException: A tumble window
> expects
> > a size value literal.
> > at
> >
> org.apache.flink.table.operations.utils.AggregateOperationFactory.getAsValueLiteral(AggregateOperationFactory.java:384)
> > at
> >
> org.apache.flink.table.operations.utils.AggregateOperationFactory.validateAndCreateTumbleWindow(AggregateOperationFactory.java:302)
> > at
> >
> org.apache.flink.table.operations.utils.AggregateOperationFactory.createResolvedWindow(AggregateOperationFactory.java:236)
> > at
> >
> org.apache.flink.table.operations.utils.OperationTreeBuilder.windowAggregate(OperationTreeBuilder.java:250)
> > at
> >
> org.apache.flink.table.api.internal.TableImpl$WindowGroupedTableImpl.select(TableImpl.java:794)
> > at
> >
> org.apache.flink.table.api.internal.TableImpl$WindowGroupedTableImpl.select(TableImpl.java:781)
> > 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:498)
> > 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
> >
>
?????? pyflink1.11.0window
Shuiqiang ??window?? -- -- ??: "user-zh"
Re: pyflink1.11.0window
琴师你好，
异常栈信息org.apache.flink.table.api.ValidationException: A tumble window
expects a size value literal.
看起来是接下tumble window定义的代码不太正确吧
Best,
Shuiqiang
奇怪的不朽琴师 <1129656...@qq.com> 于2020年7月15日周三 上午10:27写道：
> 你好：
>
> 我按着你回复的建议改了source但是会报新的错误，请问这个是因为什么？我想调试一个window一直没有成功，请帮帮我，谢谢。
> Traceback (most recent call last):
> File "tou.py", line 71, in from_kafka_to_kafka_demo()
> File "tou.py", line 21, in from_kafka_to_kafka_demo
> .select(" id, time1 , time1 ")\
> File
> "/usr/local/lib/python3.7/site-packages/pyflink/table/table.py", line 907,
> in select
> return Table(self._j_table.select(fields), self._t_env)
> File "/usr/local/lib/python3.7/site-packages/py4j/java_gateway.py",
> line 1286, in __call__
> answer, self.gateway_client, self.target_id, self.name)
> File
> "/usr/local/lib/python3.7/site-packages/pyflink/util/exceptions.py", line
> 147, in deco
> return f(*a, **kw)
> File "/usr/local/lib/python3.7/site-packages/py4j/protocol.py",
> line 328, in get_return_value
> format(target_id, ".", name), value)
> py4j.protocol.Py4JJavaError: An error occurred while calling o26.select.
> : org.apache.flink.table.api.ValidationException: A tumble window expects
> a size value literal.
> at
> org.apache.flink.table.operations.utils.AggregateOperationFactory.getAsValueLiteral(AggregateOperationFactory.java:384)
> at
> org.apache.flink.table.operations.utils.AggregateOperationFactory.validateAndCreateTumbleWindow(AggregateOperationFactory.java:302)
> at
> org.apache.flink.table.operations.utils.AggregateOperationFactory.createResolvedWindow(AggregateOperationFactory.java:236)
> at
> org.apache.flink.table.operations.utils.OperationTreeBuilder.windowAggregate(OperationTreeBuilder.java:250)
> at
> org.apache.flink.table.api.internal.TableImpl$WindowGroupedTableImpl.select(TableImpl.java:794)
> at
> org.apache.flink.table.api.internal.TableImpl$WindowGroupedTableImpl.select(TableImpl.java:781)
> 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:498)
> 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:748)
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
> def register_rides_source(st_env):
> source_ddl = \
> """
> create table source1(
> id int,
> time1 timestamp,
> type string,
> WATERMARK FOR time1 as time1 - INTERVAL '2' SECOND
> ) with (
> 'connector.type' = 'kafka',
> 'update-mode' = 'append',
> 'connector.topic' = 'tp1',
> 'connector.properties.bootstrap.servers' = 'localhost:9092',
> 'connector.properties.zookeeper.connect' = 'localhost:2181',
> 'format.type' = 'json',
> 'format.derive-schema' = 'true',
> 'connector.version' = 'universal'
> )
> """
> st_env.sql_update(source_ddl)
>
>
> s_env =
> StreamExecutionEnvironment.get_execution_environment()
> s_env.set_parallelism(1)
>
>
> st_env = StreamTableEnvironment.create(s_env)
>
>
> register_rides_source(st_env)
> register_rides_sink(st_env)
>
>
> st_env.from_path("source1")\
>
> .window(Tumble.over("2.secends").on("time1").alias("w")) \
> .group_by("w") \
> .select(" id, time1 , time1 ")\
> .insert_into("sink1")
>
> st_env.execute("2-from_kafka_to_kafka")
?????? pyflink1.11.0window
?? ??source??window?? Traceback (most recent call last): File "tou.py", line 71, in
Re: pyflink1.11.0window
琴师你好，
你的source ddl里有指定time1为 time attribute吗？
create table source1(
id int,
time1 timestamp,
type string,
WATERMARK FOR time1 as time1 - INTERVAL '2' SECOND
) with (...)
奇怪的不朽琴师 <1129656...@qq.com> 于2020年7月10日周五 上午8:43写道：
> -- 原始邮件 --
> 发件人:
> "奇怪的不朽琴师"
> <
> 1129656...@qq.com>;
> 发送时间: 2020年7月9日(星期四) 下午5:08
> 收件人: "godfrey he"
> 主题: pyflink1.11.0window
>
>
>
> 你好：
> 我在使用pyflink1.11版本时，window开窗仍会报错
> : org.apache.flink.table.api.ValidationException: A group window expects a
> time attribute for grouping in a stream environment.
>
> 请问这个问题没有修复么？或者是我使用的方式不对，如果是使用不对，能提供一个正确的案例么？
> 代码如下
> 谢谢
>
>
> def from_kafka_to_kafka_demo():
> s_env =
> StreamExecutionEnvironment.get_execution_environment()
> s_env.set_parallelism(1)
>
>
> # use blink table planner
> st_env = StreamTableEnvironment.create(s_env)
>
>
> # register source and sink
> register_rides_source(st_env)
> register_rides_sink(st_env)
>
>
> st_env.from_path("source1")\
>
> .window(Tumble.over("1.secends").on("time1").alias("w")) \
> .group_by("w") \
> .select(" id, time1 , time1 ")\
> .insert_into("sink1")
>
> st_env.execute("2-from_kafka_to_kafka")
>
>
>
>
> def register_rides_source(st_env):
> source_ddl = \
> '''
> create table source1(
> id int,
> time1 timestamp,
> type string
> ) with (
> 'connector.type' = 'kafka',
> 'update-mode' = 'append',
> 'connector.topic' = 'tp1',
> 'connector.properties.bootstrap.servers' = 'localhost:9092'
> )
> '''
> st_env.sql_update(source_ddl)
>
>
>
>
> def register_rides_sink(st_env):
> sink_ddl = \
> '''
> create table sink1(
> id int,
> time1 timestamp,
> time2 timestamp
> ) with (
> 'connector.type' = 'kafka',
> 'update-mode' = 'append',
> 'connector.topic' = 'tp3',
> 'connector.properties.bootstrap.servers' = 'localhost:9092'
> )
> '''
> st_env.sql_update(sink_ddl)
>
>
>
>
> if __name__ == '__main__':
> from_kafka_to_kafka_demo()
>
>
>
??????pyflink1.11.0window
-- -- ??: "??" <1129656...@qq.com>; : 2020??7??9??(??) 5:08 ??: "godfrey he"
