How to show/enable logs of queries executed in spring boot data for igniterepository ? Do we have any specific property for Apache ignite repository?










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logging.level.org.hibernate.SQL=debug
logging.level.org.hibernate.type.descriptor.sql=trace

spring.jpa.show-sql=true
spring.jpa.properties.hibernate.format_sql=true


Tried with above properties but those are not working out.










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    0















    logging.level.org.hibernate.SQL=debug
    logging.level.org.hibernate.type.descriptor.sql=trace

    spring.jpa.show-sql=true
    spring.jpa.properties.hibernate.format_sql=true


    Tried with above properties but those are not working out.










    share|improve this question


























      0












      0








      0








      logging.level.org.hibernate.SQL=debug
      logging.level.org.hibernate.type.descriptor.sql=trace

      spring.jpa.show-sql=true
      spring.jpa.properties.hibernate.format_sql=true


      Tried with above properties but those are not working out.










      share|improve this question
















      logging.level.org.hibernate.SQL=debug
      logging.level.org.hibernate.type.descriptor.sql=trace

      spring.jpa.show-sql=true
      spring.jpa.properties.hibernate.format_sql=true


      Tried with above properties but those are not working out.







      spring-boot logging spring-data-jpa ignite show-sql






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      share|improve this question













      share|improve this question




      share|improve this question








      edited Nov 16 '18 at 8:28









      M. Deinum

      71.1k14142151




      71.1k14142151










      asked Nov 16 '18 at 8:05









      Soumya SarkarSoumya Sarkar

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          I don't know if there is mandatory logging on Spring Data size, but on Ignite side there is no such thing.



          One way to get that behavior is by setting longQueryWarningTimeout in Ignite configuration to 1, i.e 1 ms. It will get all queries which took longer than 1 ms printed with warning "Query execution is too long", effectively all of them.






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            1 Answer
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            1 Answer
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            active

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            active

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            0














            I don't know if there is mandatory logging on Spring Data size, but on Ignite side there is no such thing.



            One way to get that behavior is by setting longQueryWarningTimeout in Ignite configuration to 1, i.e 1 ms. It will get all queries which took longer than 1 ms printed with warning "Query execution is too long", effectively all of them.






            share|improve this answer



























              0














              I don't know if there is mandatory logging on Spring Data size, but on Ignite side there is no such thing.



              One way to get that behavior is by setting longQueryWarningTimeout in Ignite configuration to 1, i.e 1 ms. It will get all queries which took longer than 1 ms printed with warning "Query execution is too long", effectively all of them.






              share|improve this answer

























                0












                0








                0







                I don't know if there is mandatory logging on Spring Data size, but on Ignite side there is no such thing.



                One way to get that behavior is by setting longQueryWarningTimeout in Ignite configuration to 1, i.e 1 ms. It will get all queries which took longer than 1 ms printed with warning "Query execution is too long", effectively all of them.






                share|improve this answer













                I don't know if there is mandatory logging on Spring Data size, but on Ignite side there is no such thing.



                One way to get that behavior is by setting longQueryWarningTimeout in Ignite configuration to 1, i.e 1 ms. It will get all queries which took longer than 1 ms printed with warning "Query execution is too long", effectively all of them.







                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Nov 16 '18 at 11:53









                alamaralamar

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