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Streaming API for XML (StAX) is an application programming interface to read and write XML documents, originating from the Java programming language community. Traditionally, XML APIs are either: DOM based - the entire document is read into memory as a tree structure for random access by the calling application
In type theory and functional programming, a stream is a potentially infinite analog of a list, given by the coinductive definition: [1] [2] data Stream α = Nil | Cons α ( Stream α ) Generating and computing with streams requires lazy evaluation , either implicitly in a lazily evaluated language or by creating and forcing thunks in an eager ...
Most programming languages for stream processors start with Java, C or C++ and add extensions which provide specific instructions to allow application developers to tag kernels and/or streams. This also applies to most shading languages, which can be considered stream programming languages to a certain degree.
A stream can be used similarly to a list, but later elements are only calculated when needed. Streams can therefore represent infinite sequences and series. [1] In the Smalltalk standard library and in other programming languages as well, a stream is an external iterator. As in Scheme, streams can represent finite or infinite sequences.
On April 30, 2015 version 1.0.0 of Reactive Streams for the JVM was released, [5] [6] [11] including Java API, [12] a textual specification, [13] a TCK and implementation examples. It comes with a multitude of compliant implementations verified by the TCK for 1.0.0, listed in alphabetical order: [11] Akka Streams [14] [15] MongoDB [16] Ratpack [17]
Apache Kafka is a distributed event store and stream-processing platform. It is an open-source system developed by the Apache Software Foundation written in Java and Scala.The project aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds.
The platform was known as Java 2 Platform, Enterprise Edition or J2EE from version 1.2, until the name was changed to Java Platform, Enterprise Edition or Java EE in version 1.5. Java EE was maintained by Oracle under the Java Community Process. On September 12, 2017, Oracle Corporation announced that it would submit Java EE to the Eclipse ...
These algorithms are designed to operate with limited memory, generally logarithmic in the size of the stream and/or in the maximum value in the stream, and may also have limited processing time per item. As a result of these constraints, streaming algorithms often produce approximate answers based on a summary or "sketch" of the data stream.