MapStream | Convenient extension to the Java 8 Stream API | Stream Processing library

 by   Pyknic Java Version: 2.2.0 License: Non-SPDX

kandi X-RAY | MapStream Summary

kandi X-RAY | MapStream Summary

MapStream is a Java library typically used in Data Processing, Stream Processing applications. MapStream has no bugs, it has no vulnerabilities, it has build file available and it has low support. However MapStream has a Non-SPDX License. You can download it from GitHub.

MapStream is a convenient extension to the Java 8 Stream API that let you stream over Key-Value pairs. The project is a fork of the Speedment MapStream component in case you want to use it as a stand-alone.
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            kandi-support Support

              MapStream has a low active ecosystem.
              It has 31 star(s) with 5 fork(s). There are 4 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 1 open issues and 1 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of MapStream is 2.2.0

            kandi-Quality Quality

              MapStream has 0 bugs and 0 code smells.

            kandi-Security Security

              MapStream has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              MapStream code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              MapStream has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              MapStream releases are available to install and integrate.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.
              MapStream saves you 332 person hours of effort in developing the same functionality from scratch.
              It has 796 lines of code, 117 functions and 5 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed MapStream and discovered the below as its top functions. This is intended to give you an instant insight into MapStream implemented functionality, and help decide if they suit your requirements.
            • Performs a reduction on the elements of this stream
            • Performs a reduction on the stream
            • Performs a reduction on this stream
            • Returns a stream consisting of the distinct values of this stream
            • Returns a stream consisting of distinct values of this stream additionally applying the given function to each element
            • Returns a stream consisting of the elements of the elements of this stream
            • Returns a stream consisting of the keys of the elements of this stream
            • Returns a new stream consisting of the elements of this stream
            • Returns an array containing all the elements of this stream
            • Returns a stream consisting of distinct elements of this stream
            • Returns a stream consisting of the elements of this stream using the provided function
            • Performs the operation on the elements of this stream
            • Performs a reduction operation on the stream
            • Returns a stream containing the elements of this stream
            • Gets the elements of this stream as an array
            • Returns the number of elements in this stream
            • Returns a stream consisting of the elements of this stream
            • Returns a composed comparator for the given key
            • Returns a new stream that contains the given close handler
            • Returns a new DoubleStream consisting of the results of applying the given function to each element of this stream
            • Unordered stream
            • Returns a parallel stream for this map
            • Returns a stream consisting of distinct elements
            • Returns a stream consisting of the elements of the current stream
            • Returns a stream for sequential operations
            • Returns a stream consisting of the results of applying the provided mapping function
            • Returns the first element of this stream
            • Returns a stream containing the elements of this stream according to the provided comparator
            Get all kandi verified functions for this library.

            MapStream Key Features

            No Key Features are available at this moment for MapStream.

            MapStream Examples and Code Snippets

            No Code Snippets are available at this moment for MapStream.

            Community Discussions

            QUESTION

            When using Broadcast Stream in Flink,the broadcast state of different subtasks of the same operator is isolated or shared?
            Asked 2020-Mar-11 at 07:39

            In my flink job, i use Broadcast State like this:

            ...

            ANSWER

            Answered 2020-Mar-11 at 07:39

            Each subtask maintains its own independent copy of the broadcast state. The working state is always on-heap (like all non-keyed state), and each subtask independently includes its copy of the broadcast state in checkpoints and savepoints. Using RocksDB for broadcast state is not an option.

            Note that if the broadcast stream comes from a parallel source, different subtasks can receive the broadcast elements in a different order. You need to either restrict the broadcast source to a single instance, or take care that broadcast state updates do not depend on the order of their arrival, or you can end up with inconsistencies.

            See the docs for more info.

            Source https://stackoverflow.com/questions/60628116

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install MapStream

            The easiest way to include MapStream in your projects is to add the following dependency to your pom.xml-file:.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
            Find more information at:

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          • HTTPS

            https://github.com/Pyknic/MapStream.git

          • CLI

            gh repo clone Pyknic/MapStream

          • sshUrl

            git@github.com:Pyknic/MapStream.git

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