MapStream | Convenient extension to the Java 8 Stream API | Stream Processing library
kandi X-RAY | MapStream Summary
kandi X-RAY | MapStream Summary
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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Top functions reviewed by kandi - BETA
- 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
MapStream Key Features
MapStream Examples and Code Snippets
Community Discussions
Trending Discussions on MapStream
QUESTION
In my flink job, i use Broadcast State like this:
...ANSWER
Answered 2020-Mar-11 at 07:39Each 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.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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