parallelStream throwing Caused by: java.util.concurrent.TimeoutException: null












1















I have created a REST API Service within which I am using Java8 parallelStream like as shown below



employeesDetails = employeesDetailsList.parallelStream().map(getEmployeesDetails ).collect(Collectors.toList());


I am using parallelStream because it needs to iterate huge records and marshall it to a different response. The API is working fine, but the problem is lets say the REST API takes 1 min time to execute successfully. If one hits the same REST API service multiple times at the server side its executing multiple times and throwing exception Caused by: java.util.concurrent.TimeoutException: null



Can anyone please help me on this. Also like to know whether parallelStream is the correct choice for this scenario










share|improve this question























  • Please show a complete example and the complete stack trace.

    – tgdavies
    Jan 1 at 9:54






  • 2





    TimeoutExceptions you're looking at are not relate to parallelStream. Look at the API response times and ensure reduced network latencies to achieve whatever you're trying to. Or else increase the timeout in worst case.

    – nullpointer
    Jan 1 at 9:54






  • 1





    parallelStream is not appropriate here, as it doesn't given you enough control over the number of concurrent requests you are making to your REST server -- it is likely that you are overwhelming it.

    – tgdavies
    Jan 1 at 10:01











  • @tgdavies but when I use normal stream() then it is taking around 4 min

    – Alex Man
    Jan 1 at 10:12








  • 1





    You should use an executor service with a known number of threads, rather than a parallel stream. Not everything in Java has to be done with a stream. Also, make sure all requests to the REST server are handled together, not separately for each hit on your service.

    – RealSkeptic
    Jan 1 at 10:14


















1















I have created a REST API Service within which I am using Java8 parallelStream like as shown below



employeesDetails = employeesDetailsList.parallelStream().map(getEmployeesDetails ).collect(Collectors.toList());


I am using parallelStream because it needs to iterate huge records and marshall it to a different response. The API is working fine, but the problem is lets say the REST API takes 1 min time to execute successfully. If one hits the same REST API service multiple times at the server side its executing multiple times and throwing exception Caused by: java.util.concurrent.TimeoutException: null



Can anyone please help me on this. Also like to know whether parallelStream is the correct choice for this scenario










share|improve this question























  • Please show a complete example and the complete stack trace.

    – tgdavies
    Jan 1 at 9:54






  • 2





    TimeoutExceptions you're looking at are not relate to parallelStream. Look at the API response times and ensure reduced network latencies to achieve whatever you're trying to. Or else increase the timeout in worst case.

    – nullpointer
    Jan 1 at 9:54






  • 1





    parallelStream is not appropriate here, as it doesn't given you enough control over the number of concurrent requests you are making to your REST server -- it is likely that you are overwhelming it.

    – tgdavies
    Jan 1 at 10:01











  • @tgdavies but when I use normal stream() then it is taking around 4 min

    – Alex Man
    Jan 1 at 10:12








  • 1





    You should use an executor service with a known number of threads, rather than a parallel stream. Not everything in Java has to be done with a stream. Also, make sure all requests to the REST server are handled together, not separately for each hit on your service.

    – RealSkeptic
    Jan 1 at 10:14
















1












1








1








I have created a REST API Service within which I am using Java8 parallelStream like as shown below



employeesDetails = employeesDetailsList.parallelStream().map(getEmployeesDetails ).collect(Collectors.toList());


I am using parallelStream because it needs to iterate huge records and marshall it to a different response. The API is working fine, but the problem is lets say the REST API takes 1 min time to execute successfully. If one hits the same REST API service multiple times at the server side its executing multiple times and throwing exception Caused by: java.util.concurrent.TimeoutException: null



Can anyone please help me on this. Also like to know whether parallelStream is the correct choice for this scenario










share|improve this question














I have created a REST API Service within which I am using Java8 parallelStream like as shown below



employeesDetails = employeesDetailsList.parallelStream().map(getEmployeesDetails ).collect(Collectors.toList());


I am using parallelStream because it needs to iterate huge records and marshall it to a different response. The API is working fine, but the problem is lets say the REST API takes 1 min time to execute successfully. If one hits the same REST API service multiple times at the server side its executing multiple times and throwing exception Caused by: java.util.concurrent.TimeoutException: null



Can anyone please help me on this. Also like to know whether parallelStream is the correct choice for this scenario







java rest java-8 java-stream






share|improve this question













share|improve this question











share|improve this question




share|improve this question










asked Jan 1 at 9:50









Alex ManAlex Man

1,3411149107




1,3411149107













  • Please show a complete example and the complete stack trace.

    – tgdavies
    Jan 1 at 9:54






  • 2





    TimeoutExceptions you're looking at are not relate to parallelStream. Look at the API response times and ensure reduced network latencies to achieve whatever you're trying to. Or else increase the timeout in worst case.

    – nullpointer
    Jan 1 at 9:54






  • 1





    parallelStream is not appropriate here, as it doesn't given you enough control over the number of concurrent requests you are making to your REST server -- it is likely that you are overwhelming it.

    – tgdavies
    Jan 1 at 10:01











  • @tgdavies but when I use normal stream() then it is taking around 4 min

    – Alex Man
    Jan 1 at 10:12








  • 1





    You should use an executor service with a known number of threads, rather than a parallel stream. Not everything in Java has to be done with a stream. Also, make sure all requests to the REST server are handled together, not separately for each hit on your service.

    – RealSkeptic
    Jan 1 at 10:14





















  • Please show a complete example and the complete stack trace.

    – tgdavies
    Jan 1 at 9:54






  • 2





    TimeoutExceptions you're looking at are not relate to parallelStream. Look at the API response times and ensure reduced network latencies to achieve whatever you're trying to. Or else increase the timeout in worst case.

    – nullpointer
    Jan 1 at 9:54






  • 1





    parallelStream is not appropriate here, as it doesn't given you enough control over the number of concurrent requests you are making to your REST server -- it is likely that you are overwhelming it.

    – tgdavies
    Jan 1 at 10:01











  • @tgdavies but when I use normal stream() then it is taking around 4 min

    – Alex Man
    Jan 1 at 10:12








  • 1





    You should use an executor service with a known number of threads, rather than a parallel stream. Not everything in Java has to be done with a stream. Also, make sure all requests to the REST server are handled together, not separately for each hit on your service.

    – RealSkeptic
    Jan 1 at 10:14



















Please show a complete example and the complete stack trace.

– tgdavies
Jan 1 at 9:54





Please show a complete example and the complete stack trace.

– tgdavies
Jan 1 at 9:54




2




2





TimeoutExceptions you're looking at are not relate to parallelStream. Look at the API response times and ensure reduced network latencies to achieve whatever you're trying to. Or else increase the timeout in worst case.

– nullpointer
Jan 1 at 9:54





TimeoutExceptions you're looking at are not relate to parallelStream. Look at the API response times and ensure reduced network latencies to achieve whatever you're trying to. Or else increase the timeout in worst case.

– nullpointer
Jan 1 at 9:54




1




1





parallelStream is not appropriate here, as it doesn't given you enough control over the number of concurrent requests you are making to your REST server -- it is likely that you are overwhelming it.

– tgdavies
Jan 1 at 10:01





parallelStream is not appropriate here, as it doesn't given you enough control over the number of concurrent requests you are making to your REST server -- it is likely that you are overwhelming it.

– tgdavies
Jan 1 at 10:01













@tgdavies but when I use normal stream() then it is taking around 4 min

– Alex Man
Jan 1 at 10:12







@tgdavies but when I use normal stream() then it is taking around 4 min

– Alex Man
Jan 1 at 10:12






1




1





You should use an executor service with a known number of threads, rather than a parallel stream. Not everything in Java has to be done with a stream. Also, make sure all requests to the REST server are handled together, not separately for each hit on your service.

– RealSkeptic
Jan 1 at 10:14







You should use an executor service with a known number of threads, rather than a parallel stream. Not everything in Java has to be done with a stream. Also, make sure all requests to the REST server are handled together, not separately for each hit on your service.

– RealSkeptic
Jan 1 at 10:14














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