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  2. Reactive Streams - Wikipedia

    en.wikipedia.org/wiki/Reactive_Streams

    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]

  3. StAX - Wikipedia

    en.wikipedia.org/wiki/StAX

    Streaming API for XML (StAX) is an application programming interface (API) 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.

  4. Stream processing - Wikipedia

    en.wikipedia.org/wiki/Stream_processing

    In computer science, stream processing (also known as event stream processing, data stream processing, or distributed stream processing) is a programming paradigm which views streams, or sequences of events in time, as the central input and output objects of computation. Stream processing encompasses dataflow programming, reactive programming ...

  5. Java API for XML Processing - Wikipedia

    en.wikipedia.org/wiki/Java_API_for_XML_Processing

    JAXP provides interfaces in package javax.xml.transform allowing applications to invoke an XSLT transformation. This interface was originally called TrAX (Transformation API for XML), and was developed by an informal collaboration between the developers of a number of Java XSLT processors. Main features of the interface are.

  6. Apache Flink - Wikipedia

    en.wikipedia.org/wiki/Apache_Flink

    Apache Flink. Apache Flink is an open-source, unified stream-processing and batch-processing framework developed by the Apache Software Foundation. The core of Apache Flink is a distributed streaming data-flow engine written in Java and Scala. [3][4] Flink executes arbitrary dataflow programs in a data-parallel and pipelined (hence task ...

  7. XStream - Wikipedia

    en.wikipedia.org/wiki/XStream

    XStream uses reflection to discover the structure of the object graph to serialize at run time, and doesn't require modifications to objects. It can serialize internal fields, including private and final, and supports non-public and inner classes. [1]

  8. Chunked transfer encoding - Wikipedia

    en.wikipedia.org/wiki/Chunked_transfer_encoding

    Chunked transfer encoding. Chunked transfer encoding is a streaming data transfer mechanism available in Hypertext Transfer Protocol (HTTP) version 1.1, defined in RFC 9112 §7.1. In chunked transfer encoding, the data stream is divided into a series of non-overlapping "chunks". The chunks are sent out and received independently of one another.

  9. Apache Storm - Wikipedia

    en.wikipedia.org/wiki/Apache_Storm

    Apache Storm is a distributed stream processing computation framework written predominantly in the Clojure programming language. Originally created by Nathan Marz [2] and team at BackType, [3] the project was open sourced after being acquired by Twitter. [4] It uses custom created "spouts" and "bolts" to define information sources and ...