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Merging Hot Flux Sources


ActiveMQ some consumers not picking up tasks if they arrive after producerwhy spill failure happens for Custom Data Type in HadoopWhy does JMockIt mock the getter X.getE() for class X in this snippet?Error:java: javacTask: source release 8 requires target release 1.8Working with Flux in a Scheduled TaskHow to map a flux with mono?Dynamically merging FluxesMerge Flux emissions with duplication?Flux from WebClient behaves differently than Flux from File.readLinesHow to use groupBy on a hot source






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0















In Spring Boot 2 with Reactor, I am attempting to merge two Flux hot sources. However, the merge only ever seems to report the first of the two Flux parameters in merge. How do I get the merge to recognize the second Flux.



In the example below, the System.err in B-2 doesn't even print when outgoing1a is the first parameter. If I make outgoing2 the first, then A-2 doesn't print.



Below is the full example;



package com.example.demo;

import java.time.Duration;
import java.util.concurrent.BlockingQueue;
import java.util.concurrent.LinkedBlockingQueue;
import reactor.core.publisher.Flux;
import reactor.core.scheduler.Schedulers;

public class Weather
String city;
Integer temperature;

public Weather(String city, Integer temperature)
this.city = city;
this.temperature = temperature;


@Override
public String toString()
return "Weather [city=" + city + ", temperature=" + temperature + "]";


public static void main(String[] args)

BlockingQueue<Weather> queue = new LinkedBlockingQueue<>();
BlockingQueue<Weather> queue2 = new LinkedBlockingQueue<>();

// Assume Spring @Repository "A-1"
new Thread(() ->
for (int d = 1; d < 1000; d += 1)
for (String s: new String[] "LDN", "NYC", "PAR", "ZUR")
queue.add(new Weather(s, d));
try Thread.sleep(250); catch (InterruptedException e)


).start();

// Assume Spring @Repository "B-1"
new Thread(() ->
for (int d = 1; d < 1000; d += 1)
for (String s: new String[] "MOS", "TLV")
queue2.add(new Weather(s, d));
try Thread.sleep(1000); catch (InterruptedException e)


).start();

// Assume Spring @Service "A-2" = real-time LDN, NYC, PAR, ZUR
Flux<Weather> outgoing1 = Flux.<Weather>create(
sink ->
for (int i = 0; i < 1000; i++)
try
sink.next(queue.take());
System.err.println("1 " + queue.size());
catch (InterruptedException e)
e.printStackTrace();


sink.complete();

).publishOn(Schedulers.newSingle("outgoing-1"));

// Assume Spring @Service "B-2" = real-time MOS, TLV
Flux<Weather> outgoing2 = Flux.<Weather>create(
sink ->
for (int i = 0; i < 1000; i++)
try
sink.next(queue2.take());
System.err.println("2 " + queue2.size());
catch (InterruptedException e)
e.printStackTrace();


sink.complete();

).publishOn(Schedulers.newSingle("outgoing-2"));

// Assume Spring @Service "A-3" = 5 second summary of LDN, NYC, PAR, ZUR
Flux<Weather> outgoing1a = Flux.from(outgoing1)
.groupBy(c -> c.city)
.flatMap(g -> g
.sample(Duration.ofSeconds(5))
)
.log("C");

// Assume Spring @Service "C" - merges "A-3" and "B-2"
// only prints outgoing1a
Flux.merge(outgoing1a, outgoing2).subscribe(System.out::println);

// only prints outgoing2
//Flux.merge(outgoing2, outgoing1a).subscribe(System.out::println);












share|improve this question






























    0















    In Spring Boot 2 with Reactor, I am attempting to merge two Flux hot sources. However, the merge only ever seems to report the first of the two Flux parameters in merge. How do I get the merge to recognize the second Flux.



    In the example below, the System.err in B-2 doesn't even print when outgoing1a is the first parameter. If I make outgoing2 the first, then A-2 doesn't print.



    Below is the full example;



    package com.example.demo;

    import java.time.Duration;
    import java.util.concurrent.BlockingQueue;
    import java.util.concurrent.LinkedBlockingQueue;
    import reactor.core.publisher.Flux;
    import reactor.core.scheduler.Schedulers;

    public class Weather
    String city;
    Integer temperature;

    public Weather(String city, Integer temperature)
    this.city = city;
    this.temperature = temperature;


    @Override
    public String toString()
    return "Weather [city=" + city + ", temperature=" + temperature + "]";


    public static void main(String[] args)

    BlockingQueue<Weather> queue = new LinkedBlockingQueue<>();
    BlockingQueue<Weather> queue2 = new LinkedBlockingQueue<>();

    // Assume Spring @Repository "A-1"
    new Thread(() ->
    for (int d = 1; d < 1000; d += 1)
    for (String s: new String[] "LDN", "NYC", "PAR", "ZUR")
    queue.add(new Weather(s, d));
    try Thread.sleep(250); catch (InterruptedException e)


    ).start();

    // Assume Spring @Repository "B-1"
    new Thread(() ->
    for (int d = 1; d < 1000; d += 1)
    for (String s: new String[] "MOS", "TLV")
    queue2.add(new Weather(s, d));
    try Thread.sleep(1000); catch (InterruptedException e)


    ).start();

    // Assume Spring @Service "A-2" = real-time LDN, NYC, PAR, ZUR
    Flux<Weather> outgoing1 = Flux.<Weather>create(
    sink ->
    for (int i = 0; i < 1000; i++)
    try
    sink.next(queue.take());
    System.err.println("1 " + queue.size());
    catch (InterruptedException e)
    e.printStackTrace();


    sink.complete();

    ).publishOn(Schedulers.newSingle("outgoing-1"));

    // Assume Spring @Service "B-2" = real-time MOS, TLV
    Flux<Weather> outgoing2 = Flux.<Weather>create(
    sink ->
    for (int i = 0; i < 1000; i++)
    try
    sink.next(queue2.take());
    System.err.println("2 " + queue2.size());
    catch (InterruptedException e)
    e.printStackTrace();


    sink.complete();

    ).publishOn(Schedulers.newSingle("outgoing-2"));

    // Assume Spring @Service "A-3" = 5 second summary of LDN, NYC, PAR, ZUR
    Flux<Weather> outgoing1a = Flux.from(outgoing1)
    .groupBy(c -> c.city)
    .flatMap(g -> g
    .sample(Duration.ofSeconds(5))
    )
    .log("C");

    // Assume Spring @Service "C" - merges "A-3" and "B-2"
    // only prints outgoing1a
    Flux.merge(outgoing1a, outgoing2).subscribe(System.out::println);

    // only prints outgoing2
    //Flux.merge(outgoing2, outgoing1a).subscribe(System.out::println);












    share|improve this question


























      0












      0








      0








      In Spring Boot 2 with Reactor, I am attempting to merge two Flux hot sources. However, the merge only ever seems to report the first of the two Flux parameters in merge. How do I get the merge to recognize the second Flux.



      In the example below, the System.err in B-2 doesn't even print when outgoing1a is the first parameter. If I make outgoing2 the first, then A-2 doesn't print.



      Below is the full example;



      package com.example.demo;

      import java.time.Duration;
      import java.util.concurrent.BlockingQueue;
      import java.util.concurrent.LinkedBlockingQueue;
      import reactor.core.publisher.Flux;
      import reactor.core.scheduler.Schedulers;

      public class Weather
      String city;
      Integer temperature;

      public Weather(String city, Integer temperature)
      this.city = city;
      this.temperature = temperature;


      @Override
      public String toString()
      return "Weather [city=" + city + ", temperature=" + temperature + "]";


      public static void main(String[] args)

      BlockingQueue<Weather> queue = new LinkedBlockingQueue<>();
      BlockingQueue<Weather> queue2 = new LinkedBlockingQueue<>();

      // Assume Spring @Repository "A-1"
      new Thread(() ->
      for (int d = 1; d < 1000; d += 1)
      for (String s: new String[] "LDN", "NYC", "PAR", "ZUR")
      queue.add(new Weather(s, d));
      try Thread.sleep(250); catch (InterruptedException e)


      ).start();

      // Assume Spring @Repository "B-1"
      new Thread(() ->
      for (int d = 1; d < 1000; d += 1)
      for (String s: new String[] "MOS", "TLV")
      queue2.add(new Weather(s, d));
      try Thread.sleep(1000); catch (InterruptedException e)


      ).start();

      // Assume Spring @Service "A-2" = real-time LDN, NYC, PAR, ZUR
      Flux<Weather> outgoing1 = Flux.<Weather>create(
      sink ->
      for (int i = 0; i < 1000; i++)
      try
      sink.next(queue.take());
      System.err.println("1 " + queue.size());
      catch (InterruptedException e)
      e.printStackTrace();


      sink.complete();

      ).publishOn(Schedulers.newSingle("outgoing-1"));

      // Assume Spring @Service "B-2" = real-time MOS, TLV
      Flux<Weather> outgoing2 = Flux.<Weather>create(
      sink ->
      for (int i = 0; i < 1000; i++)
      try
      sink.next(queue2.take());
      System.err.println("2 " + queue2.size());
      catch (InterruptedException e)
      e.printStackTrace();


      sink.complete();

      ).publishOn(Schedulers.newSingle("outgoing-2"));

      // Assume Spring @Service "A-3" = 5 second summary of LDN, NYC, PAR, ZUR
      Flux<Weather> outgoing1a = Flux.from(outgoing1)
      .groupBy(c -> c.city)
      .flatMap(g -> g
      .sample(Duration.ofSeconds(5))
      )
      .log("C");

      // Assume Spring @Service "C" - merges "A-3" and "B-2"
      // only prints outgoing1a
      Flux.merge(outgoing1a, outgoing2).subscribe(System.out::println);

      // only prints outgoing2
      //Flux.merge(outgoing2, outgoing1a).subscribe(System.out::println);












      share|improve this question
















      In Spring Boot 2 with Reactor, I am attempting to merge two Flux hot sources. However, the merge only ever seems to report the first of the two Flux parameters in merge. How do I get the merge to recognize the second Flux.



      In the example below, the System.err in B-2 doesn't even print when outgoing1a is the first parameter. If I make outgoing2 the first, then A-2 doesn't print.



      Below is the full example;



      package com.example.demo;

      import java.time.Duration;
      import java.util.concurrent.BlockingQueue;
      import java.util.concurrent.LinkedBlockingQueue;
      import reactor.core.publisher.Flux;
      import reactor.core.scheduler.Schedulers;

      public class Weather
      String city;
      Integer temperature;

      public Weather(String city, Integer temperature)
      this.city = city;
      this.temperature = temperature;


      @Override
      public String toString()
      return "Weather [city=" + city + ", temperature=" + temperature + "]";


      public static void main(String[] args)

      BlockingQueue<Weather> queue = new LinkedBlockingQueue<>();
      BlockingQueue<Weather> queue2 = new LinkedBlockingQueue<>();

      // Assume Spring @Repository "A-1"
      new Thread(() ->
      for (int d = 1; d < 1000; d += 1)
      for (String s: new String[] "LDN", "NYC", "PAR", "ZUR")
      queue.add(new Weather(s, d));
      try Thread.sleep(250); catch (InterruptedException e)


      ).start();

      // Assume Spring @Repository "B-1"
      new Thread(() ->
      for (int d = 1; d < 1000; d += 1)
      for (String s: new String[] "MOS", "TLV")
      queue2.add(new Weather(s, d));
      try Thread.sleep(1000); catch (InterruptedException e)


      ).start();

      // Assume Spring @Service "A-2" = real-time LDN, NYC, PAR, ZUR
      Flux<Weather> outgoing1 = Flux.<Weather>create(
      sink ->
      for (int i = 0; i < 1000; i++)
      try
      sink.next(queue.take());
      System.err.println("1 " + queue.size());
      catch (InterruptedException e)
      e.printStackTrace();


      sink.complete();

      ).publishOn(Schedulers.newSingle("outgoing-1"));

      // Assume Spring @Service "B-2" = real-time MOS, TLV
      Flux<Weather> outgoing2 = Flux.<Weather>create(
      sink ->
      for (int i = 0; i < 1000; i++)
      try
      sink.next(queue2.take());
      System.err.println("2 " + queue2.size());
      catch (InterruptedException e)
      e.printStackTrace();


      sink.complete();

      ).publishOn(Schedulers.newSingle("outgoing-2"));

      // Assume Spring @Service "A-3" = 5 second summary of LDN, NYC, PAR, ZUR
      Flux<Weather> outgoing1a = Flux.from(outgoing1)
      .groupBy(c -> c.city)
      .flatMap(g -> g
      .sample(Duration.ofSeconds(5))
      )
      .log("C");

      // Assume Spring @Service "C" - merges "A-3" and "B-2"
      // only prints outgoing1a
      Flux.merge(outgoing1a, outgoing2).subscribe(System.out::println);

      // only prints outgoing2
      //Flux.merge(outgoing2, outgoing1a).subscribe(System.out::println);









      java spring-webflux project-reactor






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Mar 24 at 20:04







      lafual

















      asked Mar 24 at 19:57









      lafuallafual

      777




      777






















          1 Answer
          1






          active

          oldest

          votes


















          3














          There are a few things at play here.



          1. Note the following recommendation of the .merge operator...


          Note that merge is tailored to work with asynchronous sources or finite sources. When dealing with an infinite source that doesn't already publish on a dedicated Scheduler, you must isolate that source in its own Scheduler, as merge would otherwise attempt to drain it before subscribing to another source.




          1. Your outbound Fluxes use .publishOn, but that only affects operators chained after the .publishOn operator. i.e. It doesn't affect anything before the .publishOn. Specifically, it does not affect the thread on which the code in lambda passed to Flux.create executes. You can see this if you add .log() before the .publishOn in each of the outbound Fluxes.


          2. Your lambda passed to Flux.create calls a blocking method (queue.take).


          Since you call subscribe(...) on the merged Flux in the main thread, your lambda passed to Flux.create executes in the main thread, and blocks it.



          The easiest fix is to use .subscribeOn instead of .publishOn so that your code in the lambda passed to Flux.create operates on a different thread (other than main). This will prevent the main thread from blocking, and allow the merged output from both outbound streams to be interleaved.






          share|improve this answer























          • Thank you very much for taking the time to answer. subscribeOn instead or publishOn did indeed fix the issue. I will play with the Thread.sleep() which writes to the BlockingQueue and a delay() after the merge() to see which flavor of subscribeOn I will ultimately need.

            – lafual
            Mar 25 at 5:51











          Your Answer






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          1 Answer
          1






          active

          oldest

          votes








          1 Answer
          1






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes









          3














          There are a few things at play here.



          1. Note the following recommendation of the .merge operator...


          Note that merge is tailored to work with asynchronous sources or finite sources. When dealing with an infinite source that doesn't already publish on a dedicated Scheduler, you must isolate that source in its own Scheduler, as merge would otherwise attempt to drain it before subscribing to another source.




          1. Your outbound Fluxes use .publishOn, but that only affects operators chained after the .publishOn operator. i.e. It doesn't affect anything before the .publishOn. Specifically, it does not affect the thread on which the code in lambda passed to Flux.create executes. You can see this if you add .log() before the .publishOn in each of the outbound Fluxes.


          2. Your lambda passed to Flux.create calls a blocking method (queue.take).


          Since you call subscribe(...) on the merged Flux in the main thread, your lambda passed to Flux.create executes in the main thread, and blocks it.



          The easiest fix is to use .subscribeOn instead of .publishOn so that your code in the lambda passed to Flux.create operates on a different thread (other than main). This will prevent the main thread from blocking, and allow the merged output from both outbound streams to be interleaved.






          share|improve this answer























          • Thank you very much for taking the time to answer. subscribeOn instead or publishOn did indeed fix the issue. I will play with the Thread.sleep() which writes to the BlockingQueue and a delay() after the merge() to see which flavor of subscribeOn I will ultimately need.

            – lafual
            Mar 25 at 5:51















          3














          There are a few things at play here.



          1. Note the following recommendation of the .merge operator...


          Note that merge is tailored to work with asynchronous sources or finite sources. When dealing with an infinite source that doesn't already publish on a dedicated Scheduler, you must isolate that source in its own Scheduler, as merge would otherwise attempt to drain it before subscribing to another source.




          1. Your outbound Fluxes use .publishOn, but that only affects operators chained after the .publishOn operator. i.e. It doesn't affect anything before the .publishOn. Specifically, it does not affect the thread on which the code in lambda passed to Flux.create executes. You can see this if you add .log() before the .publishOn in each of the outbound Fluxes.


          2. Your lambda passed to Flux.create calls a blocking method (queue.take).


          Since you call subscribe(...) on the merged Flux in the main thread, your lambda passed to Flux.create executes in the main thread, and blocks it.



          The easiest fix is to use .subscribeOn instead of .publishOn so that your code in the lambda passed to Flux.create operates on a different thread (other than main). This will prevent the main thread from blocking, and allow the merged output from both outbound streams to be interleaved.






          share|improve this answer























          • Thank you very much for taking the time to answer. subscribeOn instead or publishOn did indeed fix the issue. I will play with the Thread.sleep() which writes to the BlockingQueue and a delay() after the merge() to see which flavor of subscribeOn I will ultimately need.

            – lafual
            Mar 25 at 5:51













          3












          3








          3







          There are a few things at play here.



          1. Note the following recommendation of the .merge operator...


          Note that merge is tailored to work with asynchronous sources or finite sources. When dealing with an infinite source that doesn't already publish on a dedicated Scheduler, you must isolate that source in its own Scheduler, as merge would otherwise attempt to drain it before subscribing to another source.




          1. Your outbound Fluxes use .publishOn, but that only affects operators chained after the .publishOn operator. i.e. It doesn't affect anything before the .publishOn. Specifically, it does not affect the thread on which the code in lambda passed to Flux.create executes. You can see this if you add .log() before the .publishOn in each of the outbound Fluxes.


          2. Your lambda passed to Flux.create calls a blocking method (queue.take).


          Since you call subscribe(...) on the merged Flux in the main thread, your lambda passed to Flux.create executes in the main thread, and blocks it.



          The easiest fix is to use .subscribeOn instead of .publishOn so that your code in the lambda passed to Flux.create operates on a different thread (other than main). This will prevent the main thread from blocking, and allow the merged output from both outbound streams to be interleaved.






          share|improve this answer













          There are a few things at play here.



          1. Note the following recommendation of the .merge operator...


          Note that merge is tailored to work with asynchronous sources or finite sources. When dealing with an infinite source that doesn't already publish on a dedicated Scheduler, you must isolate that source in its own Scheduler, as merge would otherwise attempt to drain it before subscribing to another source.




          1. Your outbound Fluxes use .publishOn, but that only affects operators chained after the .publishOn operator. i.e. It doesn't affect anything before the .publishOn. Specifically, it does not affect the thread on which the code in lambda passed to Flux.create executes. You can see this if you add .log() before the .publishOn in each of the outbound Fluxes.


          2. Your lambda passed to Flux.create calls a blocking method (queue.take).


          Since you call subscribe(...) on the merged Flux in the main thread, your lambda passed to Flux.create executes in the main thread, and blocks it.



          The easiest fix is to use .subscribeOn instead of .publishOn so that your code in the lambda passed to Flux.create operates on a different thread (other than main). This will prevent the main thread from blocking, and allow the merged output from both outbound streams to be interleaved.







          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered Mar 24 at 21:14









          Phil ClayPhil Clay

          81215




          81215












          • Thank you very much for taking the time to answer. subscribeOn instead or publishOn did indeed fix the issue. I will play with the Thread.sleep() which writes to the BlockingQueue and a delay() after the merge() to see which flavor of subscribeOn I will ultimately need.

            – lafual
            Mar 25 at 5:51

















          • Thank you very much for taking the time to answer. subscribeOn instead or publishOn did indeed fix the issue. I will play with the Thread.sleep() which writes to the BlockingQueue and a delay() after the merge() to see which flavor of subscribeOn I will ultimately need.

            – lafual
            Mar 25 at 5:51
















          Thank you very much for taking the time to answer. subscribeOn instead or publishOn did indeed fix the issue. I will play with the Thread.sleep() which writes to the BlockingQueue and a delay() after the merge() to see which flavor of subscribeOn I will ultimately need.

          – lafual
          Mar 25 at 5:51





          Thank you very much for taking the time to answer. subscribeOn instead or publishOn did indeed fix the issue. I will play with the Thread.sleep() which writes to the BlockingQueue and a delay() after the merge() to see which flavor of subscribeOn I will ultimately need.

          – lafual
          Mar 25 at 5:51

















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