Note, that in Java code, it prints `State: Null`, `State: Null`, as I was 
expecting in, unlike pyflink code
On Mar 7, 2024 at 15:59 +0400, Ivan Petrarka <ivanpetra...@gmail.com>, wrote:
> Hi! I’ve created a basic pyflink pipeline with ttl and it does not seem to 
> work. I have reproduced the exact same code in Java and it works!
>
> Is this a pyflink bug? If so - how can I report it? If not - what can I try 
> to do?
>
> Flink: 1.18.0
> image: flink:1.18.0-scala_2.12-java11
>
> Code to reproduce. I expect this code to print: <current_datetime, None> all 
> the time. But it prints <current_datetime> and state value
>
> ```python
> import time
>
> from datetime import datetime
>
> from pyflink.common import Time, Types
> from pyflink.datastream import KeyedProcessFunction, RuntimeContext, 
> StreamExecutionEnvironment, TimeCharacteristic
> from pyflink.datastream.state import StateTtlConfig, ValueStateDescriptor
>
>
> class Processor(KeyedProcessFunction):
>     def open(self, runtime_context: RuntimeContext):
>         state_descriptor = ValueStateDescriptor(
>             name="my_state",
>             value_type_info=Types.STRING(),
>         )
>
>         state_descriptor.enable_time_to_live(
>             ttl_config=StateTtlConfig.new_builder(Time.seconds(1))
>             .cleanup_incrementally(cleanup_size=10, 
> run_cleanup_for_every_record=True)
>             .set_update_type(StateTtlConfig.UpdateType.OnCreateAndWrite)
>             
> .set_state_visibility(StateTtlConfig.StateVisibility.NeverReturnExpired)
>             .build()
>         )
>
>         self.state = runtime_context.get_state(state_descriptor)
>
>     def process_element(self, value: int, ctx: KeyedProcessFunction.Context):
>         current_state = self.state.value()
>
>         print(datetime.now(), current_state)
>
>         if current_state is None:
>             self.state.update(str(datetime.now()))
>
>         time.sleep(1.5)
>
>
> if __name__ == "__main__":
>     # - Init environment
>
>     environment = 
> StreamExecutionEnvironment.get_execution_environment().set_parallelism(1)
>
>     # - Setup pipeline
>
>     (
>         environment.set_parallelism(1)
>         .from_collection(
>             collection=list(range(10)),
>         )
>         .key_by(lambda value: 0)
>         .process(Processor())
>
>
>
>     )
>
>     # - Execute pipeline
>
>     environment.execute("ttl_test")
>
>
>
> ```
>
> ```java
> import org.apache.flink.api.common.state.StateTtlConfig;
> import org.apache.flink.api.common.state.ValueState;
> import org.apache.flink.api.common.state.ValueStateDescriptor;
> import org.apache.flink.api.common.time.Time;
> import org.apache.flink.configuration.Configuration;
> import org.apache.flink.metrics.Histogram;
> import org.apache.flink.streaming.api.functions.KeyedProcessFunction;
> import org.apache.flink.util.Collector;
>
> import java.io.IOException;
> import java.time.LocalDateTime;
>
> public class GameHistoryProcessor extends KeyedProcessFunction<Integer, 
> String, String> {
>
>
>     private transient ValueState<String> state;
>
>
>     @Override
>     public void open(Configuration parameters) {
>         var stateTtlConfig = StateTtlConfig
>                 .newBuilder(Time.seconds(1))
> //                .cleanupFullSnapshot()
>                 .cleanupIncrementally(10, true)
>                 .setUpdateType(StateTtlConfig.UpdateType.OnCreateAndWrite)
>                 
> .setStateVisibility(StateTtlConfig.StateVisibility.NeverReturnExpired)
>                 .build();
>
>         var stateDescriptor = new ValueStateDescriptor<>("state", 
> String.class);
>         stateDescriptor.enableTimeToLive(stateTtlConfig);
>
>         state = getRuntimeContext().getState(stateDescriptor);
>
>     }
>
>     @Override
>     public void processElement(String event, Context context, 
> Collector<String> collector) throws IOException, InterruptedException {
>         var state = state.value();
>         System.out.println("State: " + state);
>
>         if (state == null) {
>             state = LocalDateTime.now().toString();
>             state.update(state);
>         }
>
>         Thread.sleep(1500);
>     }
> }```

Reply via email to