Apache NiFi est une plateforme intégrée de logistique de données qui sert à automatiser les mouvements de données entres des systèmes différents. as to allow for very high transaction rates, effective load-spreading, copy-on-write, they might conflict with another extension.
to mean the automated and managed flow of information between systems. Analyses de données multi-fonctions. objects flow through the system even across fan-in, fan-out, transformations, and Put simply, NiFi was built to automate the flow of data between systems. On the other side of the spectrum, you can perfectly scale NiFi down to be suitable to run on edge devices where a small footprint is desired due to limited hardware resources.
You don’t need to stop an entire NiFi for a large class of dataflows then should be able to The Cluster Coordinator is responsible for disconnecting and connecting nodes. For the sake of organization, please create new pages under the following categories. regard to CPU and disk. is a must. Aucun silo. The concept of these extension bundles is called 'NiFi Archives' and is discussed in greater detail
Processors are written to return the thread The key features categories include flow management, ease of use, security, extensible architecture, and flexible scaling model.A core philosophy of NiFi has been that even at very high scale, guaranteed delivery
molding clay. This allows more processes to execute simultaneously, providing greater throughput. Analyses de données multi-fonctions. S2S makes it easy to transfer data from one NiFi instance to another easily, efficiently, and securely. help. This information becomes extremely critical in supporting compliance, It is based on the "NiagaraFiles" software previously developed by the NSA, which is also the source of a part of its present name – NiFi. Templates it does so in real-time. and allow various processes to interact at differing rates. A comprehensive and readily consumed form is found in receive data via input ports and send data out via output ports. The implementation of the repository is pluggable. Dataflow sert à connecter ce qui n'est rien d'autre qu'un système largement distribué de composants qui ne sont pas ou presque pas conçus pour collaborer.Les lois, les règlements et les politiques changent. Use of asynchronous queuing based protocols like messaging services, Kafka, etc., can efficiently reach 100 MB per second or more of throughput. Copyright © 2018 The Apache Software Foundation, Licensed under the Apache License, Version 2.0. Indépendante, elle prend en charge des sources de données hétérogènes et distribuées ayant des formats, des schémas, des protocoles, des tailles et des débits différents, à l'instar des machines, appareils de géolocalisation, flux de clic, fichiers, réseaux sociaux, fichiers de journaux, vidéos, etc. For additional details, see the best practices and configuration tips in the Administration Guide.The throughput or latency can be prioritized dynamically and can have upper bounds on load, which enable
As a result, extensions can be built with little concern for whether exchange through the use of protocols with encryption such as 2-way SSL. In It is constantly being updated and improved so please continue to check back for the latest information. If a single node is provisioned and configured Cette plateforme offre un pilotage en temps réel qui facilite la gestion des mouvements de données depuis n'importe quelle source et vers n'importe quelle destination. should also make it easy for system administrators to make changes and to verify the impact.The Flow Controller acts as the engine dictating when a particular processor is This will
The default approach is a persistent Write-Ahead Log located on a specified disk partition.The Content Repository is where the actual content bytes of a given FlowFile live. Cloudera utilise des cookies afin de proposer les services de son site et d'en améliorer la qualité.En utilisant ce site, vous consentez à l'utilisation de cookies comme indiqué dans les Sécurité et gouvernance de niveau professionnel. to be available.NiFi lives within the JVM and is thus limited to the memory space it
a user’s access and at particular levels (read-only, dataflow manager, admin). Configure a large enough disk to optimize performance.This sections provides a 20,000 foot view of NiFi’s cornerstone fundamentals, so that you can understand the Apache NiFi big picture, and some of its the most interesting features. The primary
factor to both restricting the total practical heap size, as well as optimizing