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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.
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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.
Stream editing processes a file or files, in-place, without having to load the file(s) into a user interface. One example of such use is to do a search and replace on all the files in a directory, from the command line. On Unix and related systems based on the C language, a stream is a source or sink of data, usually individual bytes or characters.
Though streaming algorithms had already been studied by Munro and Paterson [1] as early as 1978, as well as Philippe Flajolet and G. Nigel Martin in 1982/83, [2] the field of streaming algorithms was first formalized and popularized in a 1996 paper by Noga Alon, Yossi Matias, and Mario Szegedy. [3]
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]
Standard output is a stream to which a program writes its output data. The program requests data transfer with the write operation. Not all programs generate output. For example, the file rename command (variously called mv, move, or ren) is silent on success. Unless redirected, standard output is inherited from the parent process.