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mmc-juc from group io.github.vipjoey (version 1.1)

Leveraging AI large models, the multi-threaded library encapsulated based on ForkJoinPool is particularly suitable for single long-task scenarios, such as traversing DB and other retrieval tasks. It also supports batch processing of small tasks, such as batch processing of Kafka messages, and is ready to use out of the box.

Group: io.github.vipjoey Artifact: mmc-juc
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Artifact mmc-juc
Group io.github.vipjoey
Version 1.1
Last update 01. September 2024
Tags: small other scenarios long multi library encapsulated retrieval ready leveraging supports tasks models based particularly large traversing batch also single such task forkjoinpool kafka processing messages suitable threaded
Organization not specified
URL ${projectUrl}
License The Apache Software License, Version 2.0
Dependencies amount 1
Dependencies lombok,
There are maybe transitive dependencies!

mmc-juc from group io.github.vipjoey (version 1.0)

Leveraging AI large models, the multi-threaded library encapsulated based on ForkJoinPool is particularly suitable for single long-task scenarios, such as traversing DB and other retrieval tasks. It also supports batch processing of small tasks, such as batch processing of Kafka messages, and is ready to use out of the box.

Group: io.github.vipjoey Artifact: mmc-juc
Show documentation Show source 
 

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Artifact mmc-juc
Group io.github.vipjoey
Version 1.0
Last update 26. August 2024
Tags: small other scenarios long multi library encapsulated retrieval ready leveraging supports tasks models based particularly large traversing batch also single such task forkjoinpool kafka processing messages suitable threaded
Organization not specified
URL ${projectUrl}
License The Apache Software License, Version 2.0
Dependencies amount 1
Dependencies lombok,
There are maybe transitive dependencies!



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