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

by Pyknic Java Version: 2.2.0 License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

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.

Support

Quality

Security

License

Reuse

Support

MapStream has a low active ecosystem.

It has 31 star(s) with 5 fork(s). There are 4 watchers for this library.

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

Quality

MapStream has 0 bugs and 0 code smells.

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.

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.

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

Trending Discussions on MapStream

When using Broadcast Stream in Flink，the broadcast state of different subtasks of the same operator is isolated or shared?

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 .

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