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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.
Apache Samza is an open-source, near-realtime, asynchronous computational framework for stream processing developed by the Apache Software Foundation in Scala and Java. It has been developed in conjunction with Apache Kafka. Both were originally developed by LinkedIn. [2]
JavaScript asynchronous, event-based I/O. Influenced by systems like Ruby's Event Machine, Perl's POE or Python's Twisted. Plenty of modules available. Opera: Futhark: Opera Unite JavaScript is the server-side language used to develop services for the Opera Unite feature of the Opera browser. This is a server built into the browser.
library that enables Java on the server and JavaScript in a browser to interact and call each other as simply as possible. EclipseLink: Java persistence solution addressing relational, XML, and database web services. EHCache: Ehcache is an open source, standards-based cache that boosts performance, offloads your database, and simplifies ...
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.
Spring Framework 4.2.0 was released on 31 July 2015 and was immediately upgraded to version 4.2.1, which was released on 01 Sept 2015. [14] It is "compatible with Java 6, 7 and 8, with a focus on core refinements and modern web capabilities". [15] Spring Framework 4.3 has been released on 10 June 2016 and was supported until 2020. [16]
Most (90%) of a stream processor's work is done on-chip, requiring only 1% of the global data to be stored to memory. This is where knowing the kernel temporaries and dependencies pays. Internally, a stream processor features some clever communication and management circuits but what's interesting is the Stream Register File (SRF). This is ...
A special case is the majority problem, which is to determine whether or not any value constitutes a majority of the stream. More formally, fix some positive constant c > 1, let the length of the stream be m, and let f i denote the frequency of value i in the stream. The frequent elements problem is to output the set { i | f i > m/c }. [13]