In-Memory Computing: Powering Enterprise High-Performance
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JSON Processing in Apache Ignite As Cache of RDBMS
JSON processing in Apache Ignite as cache of RDBMS Lazarev Nikita, Borisenko Oleg ISP RAS Plan ● JSON processing in RDBMS ● Implementing of JSON processing in Apache Ignite ● Apache Ignite as cache to RDBMS ● Testing ● Results This work is funded by the Minobrnauki Russia (grant id RFMEFI60417X0199, grant number 14.604.21.0199) Introduction JSON documents: ● Describes objects with substructure ● Flexible scheme ● Used in WEB ● Supported in some RDBMS ● Not included in SQL standard Introduction 1. SQL tables may contain in the columns JSON type 2. Functions allowing developers generate JSON documents directly in SQL queries 3. Transformation of string data types to JSON and reverse operations 4. CAST-operator both into JSON and out of it 5. Operations to check correctness of the documents 6. Operations to work with documents directly in SQL 7. Indexing of JSON documents Introduction Feature Oracle MySQL MS SQL Server PostgreSQL 1 Stored in strings Yes Stored in strings Yes, Binary storage is possible 2 Incompletely Yes Yes Yes 3 Incompletely Yes Yes Yes 4 Incompletely Yes Incompletely Yes 5 Yes Yes Yes Yes 6 Yes Yes Incompletely Yes 7 Full text search No No For binary representation Introduction PostgreSQL provides: ● json, jsonb data types ● json and jsonb operators: ○ “->”, “->>”, “#>”, “#>>” - get document element as document or text ● jsonb operators: ○ “@>”, “<@” - comparison of documents ○ “?”, “?|”, “?&” - key existence ○ “||”, “-”, “#-” - document modifications ● Addition JSON processing functions ● Aggregate functions ● GIN Index for jsonb Introduction ● The cost of RAM decreases ● Increase of data processing performance ● Horizontal scaling ● CAP-theorem ● Power supply dependency Apache Ignite Apache Ignite is the open source version of GridGain Systems product. -
Beyond Relational Databases
EXPERT ANALYSIS BY MARCOS ALBE, SUPPORT ENGINEER, PERCONA Beyond Relational Databases: A Focus on Redis, MongoDB, and ClickHouse Many of us use and love relational databases… until we try and use them for purposes which aren’t their strong point. Queues, caches, catalogs, unstructured data, counters, and many other use cases, can be solved with relational databases, but are better served by alternative options. In this expert analysis, we examine the goals, pros and cons, and the good and bad use cases of the most popular alternatives on the market, and look into some modern open source implementations. Beyond Relational Databases Developers frequently choose the backend store for the applications they produce. Amidst dozens of options, buzzwords, industry preferences, and vendor offers, it’s not always easy to make the right choice… Even with a map! !# O# d# "# a# `# @R*7-# @94FA6)6 =F(*I-76#A4+)74/*2(:# ( JA$:+49>)# &-)6+16F-# (M#@E61>-#W6e6# &6EH#;)7-6<+# &6EH# J(7)(:X(78+# !"#$%&'( S-76I6)6#'4+)-:-7# A((E-N# ##@E61>-#;E678# ;)762(# .01.%2%+'.('.$%,3( @E61>-#;(F7# D((9F-#=F(*I## =(:c*-:)U@E61>-#W6e6# @F2+16F-# G*/(F-# @Q;# $%&## @R*7-## A6)6S(77-:)U@E61>-#@E-N# K4E-F4:-A%# A6)6E7(1# %49$:+49>)+# @E61>-#'*1-:-# @E61>-#;6<R6# L&H# A6)6#'68-# $%&#@:6F521+#M(7#@E61>-#;E678# .761F-#;)7-6<#LNEF(7-7# S-76I6)6#=F(*I# A6)6/7418+# @ !"#$%&'( ;H=JO# ;(\X67-#@D# M(7#J6I((E# .761F-#%49#A6)6#=F(*I# @ )*&+',"-.%/( S$%=.#;)7-6<%6+-# =F(*I-76# LF6+21+-671># ;G';)7-6<# LF6+21#[(*:I# @E61>-#;"# @E61>-#;)(7<# H618+E61-# *&'+,"#$%&'$#( .761F-#%49#A6)6#@EEF46:1-# -
Cloud Transformation/ Operation Services & Xaas
Cloud Transformation/ A research report Operation Services & XaaS comparing provider strengths, challenges Global 2019 and competitive differentiators Quadrant Report Customized report courtesy of: November 2018 ISG Provider Lens™ Quadrant Report | November 2018 Section Name About this Report Information Services Group, Inc. is solely responsible for the content of this report. ISG Provider Lens™ delivers leading-edge and actionable research studies, reports and consulting services focused on technology and service providers’ strength and Unless otherwise cited, all content, including illustrations, research, conclusions, weaknesses and how they are positioned relative to their peers in the market. These assertions and positions contained in this report were developed by and are the sole reports provide influential insights accessed by our large pool of advisors who are property of Information Services Group, Inc. actively advising outsourcing deals as well as large numbers of ISG enterprise clients who are potential outsourcers. The research and analysis presented in this report includes research from the ISG Provider Lens™ program, ongoing ISG Research programs, interviews with ISG advisors, For more information about our studies, please email [email protected], briefings with services providers and analysis of publicly available market information call +49 (0) 561-50697537, or visit ISG Provider Lens™ under ISG Provider Lens™. from multiple sources. The data collected for this report represents information that ISG believes to be current as of September 2018, for providers who actively participated as well as for providers who did not. ISG recognizes that many mergers and acquisitions have taken place since that time but those changes are not reflected in this report. -
Cloud Transformation/ Operation Services & Xaas
Cloud Transformation/ A research report Operation Services & XaaS comparing provider strengths, challenges U.S. 2019 and competitive differentiators Quadrant Report Customized report courtesy of: November 2018 ISG Provider Lens™ Quadrant Report | November 2018 Section Name About this Report Information Services Group, Inc. is solely responsible for the content of this report. ISG Provider Lens™ delivers leading-edge and actionable research studies, reports and consulting services focused on technology and service providers’ strength and Unless otherwise cited, all content, including illustrations, research, conclusions, weaknesses and how they are positioned relative to their peers in the market. These assertions and positions contained in this report were developed by and are the sole reports provide influential insights accessed by our large pool of advisors who are property of Information Services Group, Inc. actively advising outsourcing deals as well as large numbers of ISG enterprise clients who are potential outsourcers. The research and analysis presented in this report includes research from the ISG Provider Lens™ program, ongoing ISG Research programs, interviews with ISG advisors, For more information about our studies, please email [email protected], briefings with services providers and analysis of publicly available market information call +49 (0) 561-50697537, or visit ISG Provider Lens™ under ISG Provider Lens™. from multiple sources. The data collected for this report represents information that ISG believes to be current as of September 2018, for providers who actively participated as well as for providers who did not. ISG recognizes that many mergers and acquisitions have taken place since that time but those changes are not reflected in this report. -
Onvey White Paper C
C onvey White Paper onvey Ramping Up Web Server Memcached Capabilities with Hybrid-Core Computing Convey Computer White Paper Convey White Paper Ramping Up Web Server Memcached Capabilities with Hybrid-Core Computing Introduction Constantly increasing network traffic and rapidly growing datasets present ever increasing scaling challenges for memcached, a high-performance, distributed memory caching system used by most of the top web sites in the world. Convey’s hybrid-core technology provides a solution. The rapid growth of the Internet, and the emergence of hyperscale computing are placing new demands on the flow of web traffic. For example, companies like Amazon, Google, and Facebook have created hyperscale data centers to handle exponentially increasing traffic driven by social networking and on-line commerce. The problem of delivering content to consumers in a real-time manner is compounded by this explosive growth. Contents Enter Memcached 1 Introduction Memcached is a key technology employed to accelerate the delivery of content that 1 Enter Memcached resides/persists in mass storage systems. 2 Rejuvenation Time Memcached, which stands for Memory Cache Daemon, is a general-purpose distributed 2 More is Less memory caching system. It was developed in 2003 because LiveJournal, an early social 3 The Hybrid-Core Computing blogging site, was experiencing rapid growth and its users were complaining about slow Solution response times. 4 Removing the Scalability Barrier 4 Summary of Benefits One of the major bottlenecks was the latency associated with reading from the 5 Conclusions database. To deal with this problem, the journal’s founder, Brad Fitzgerald, created memcached. It was a smashing success, eliminating the bottleneck to the delight of LiveJournal users. -
Telco Edge Cloud: Edge Service Description and Commercial Principles Whitepaper October 2020
Telco Edge Cloud: Edge Service Description and Commercial Principles Whitepaper October 2020 About the GSMA About the Telco Edge Cloud Group The GSMA represents the interests of The Telco Edge Cloud (TEC) group brings mobile operators worldwide, uniting more together over 20 operators, covering all than 750 operators with over 350 regions, who are working to promote a companies in the broader mobile collaborative deployment of cloud capabilities ecosystem, including handset at the edge of their networks. TEC is aiming to and device makers, software companies, align Multi-Access Edge Computing (MEC) equipment providers and internet business models, charging principles and companies, as well as organisations in commercial deployment considerations. adjacent industry sectors. The GSMA also produces the industry-leading MWC events TEC is working in partnership with the GSMA held annually in Barcelona, Los Angeles Operator Platform Group, which aims to create and Shanghai, as well as the Mobile 360 the architecture and technical requirements to Series of regional conferences. guide other Standard Developing Organisations (SDOs) in the development of For more information, please visit the specifications. GSMA corporate website at www.gsma.com. Follow the GSMA on Twitter: @GSMA. Executive Summary The Telco Edge Cloud taskforce was launched in the GSMA in March 2020 by 19 operators with the intention to design and develop a global edge computing service based on the federation of the edge infrastructures and platforms of a set of operators and edge service providers. Following its principle of being open and inclusive, the taskforce has grown to 25 members at the time of edition of this whitepaper and has set the basis for the global service launch. -
Apache Ignitetm In-Memory Data Fabric in Action Fast Data Meets Open Source DMITRIY SETRAKYAN Founder, PMC
Apache IgniteTM In-Memory Data Fabric In Action Fast Data Meets Open Source DMITRIY SETRAKYAN Founder, PMC https://ignite.apache.org @apacheignite @dsetrakyan Apache®, Apache Ignite, Ignite®, and the Apache Ignite logo are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. Coding Examples • Compute Grid • Data Grid • Streaming Grid • Service Grid Apache®, Apache Ignite, Ignite®, and the Apache Ignite logo are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. Join Us! Apache®, Apache Ignite, Ignite®, and the Apache Ignite logo are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. In-Memory Data Fabric: More Than Data Grid Apache®, Apache Ignite, Ignite®, and the Apache Ignite logo are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. Apache Ignite: Complete Cloud Support • Automatic Discovery – Simple Configuration – AWS/EC2/S3 – Google Compute Engine – Other Clouds with JClouds • Docker Support – Automatically Build and Deploy Apache®, Apache Ignite, Ignite®, and the Apache Ignite logo are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. In-Memory Compute Grid • MapReduce • ForkJoin • Zero Deployment • Cron-like Task Scheduling • State Checkpoints • Load Balancing • Automatic Failover • Full Cluster Management • Pluggable SPI Design Apache®, Apache Ignite, Ignite®, and the Apache Ignite logo are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. -
A Gridgain Systems In-Memory Computing White Paper
WHITE PAPER A GridGain Systems In-Memory Computing White Paper February 2017 © 2017 GridGain Systems, Inc. All Rights Reserved. GRIDGAIN.COM WHITE PAPER Accelerate MySQL for Demanding OLAP and OLTP Use Cases with Apache Ignite Contents Five Limitations of MySQL ............................................................................................................................. 2 Delivering Hot Data ................................................................................................................................... 2 Dealing with Highly Volatile Data ............................................................................................................. 3 Handling Large Data Volumes ................................................................................................................... 3 Providing Analytics .................................................................................................................................... 4 Powering Full Text Searches ..................................................................................................................... 4 When Two Trends Converge ......................................................................................................................... 4 The Speed and Power of Apache Ignite ........................................................................................................ 5 Apache Ignite Tames a Raging River of Data ............................................................................................... -
Apache Ignite and Gridgain Enterprise Data Fabric Training Gridgain Brings Apache Ignite to the Enterprise
Apache Ignite and GridGain Enterprise Data Fabric Training GridGain brings Apache Ignite to the enterprise. Apache Ignite is a high-performance, integrated and distributed in-memory platform for computing and transacting on large- scale data sets in real-time, orders of magnitude faster than possible with traditional disk- based or flash technologies. C123-401 This training is designed to provide you with the knowledge required to build high throughput, low latency applications for scaling with Apache Ignite and GridGain Enterprise™ Data Fabric. GridGain Enterprise™ consists of Apache Ignite™ plus premium features to enhance functionality for enterprises. By completing this training you will learn and gain experience about GridGain Enterprise and Apache Ignite and what they are used for, Learn where and when to deploy Apache Ignite and GridGain Enterprise, Learn how to build applications that run on Apache Ignite and GridGain Enterprise and take advantage of the benefits and Make the right development decisions while using Apache Ignite and GridGain Enterprise. AUDIENCE Developers Project Managers SI Architects KNOWLEDGE REQUIREMENTS Java working knowledge IntelliJ IDE knowledge is a plus LENGTH 3 Days BONUS Plenty of hands-on lab sessions on modifying the Custom applications SYLLABUS GridGain and Apache Ignite Apache Ignite/GridGain API (Day 2) Apache Ignite/GridGain API (Day 3) Introduction (Day 1) 7. Data Modeling 12. Compute Grid 1. Course Introduction 8. SQL Grid Query 13. Continuous Queries 2. GridGain Introduction 9. SQL Grid DML 14. Service Grid 3. Clustering and Caching 10. Transactions 15. Additional API Concepts 11. Persistence 16. Administration Concerns 4. Order It Demo Application 17. -
Evaluation of SQL Benchmark for Distributed In-Memory Database Management Systems
IJCSNS International Journal of Computer Science and Network Security, VOL.18 No.10, October 2018 59 Evaluation of SQL benchmark for distributed in-memory Database Management Systems Oleg Borisenko† and David Badalyan†† Ivannikov Institute for System Programming of the RAS, Moscow, Russia Summary Requirements for modern DBMS in terms of speed are growing every day. As an alternative to traditional relational DBMS 2. Overview distributed, in-memory DBMS are proposed. In this paper, we investigate capabilities of Apache Ignite and VoltDB from the This chapter discusses the features of Apache Ignite and point of view of relational operations and compare them to VoltDB. Both DBMS support data replication in distributed PostgreSQL using our implementation of TPC-H like workload. mode. However, the paper will consider only the case of Key words: data distribution without replication. Apache Ignite, VoltDB, PostgreSQL, In-memory Computing, distributed systems. 2.1 Apache Ignite 1. Introduction Apache Ignite is a distributed in-memory DBMS [3] [4] written in the Java programming language. It is a caching Today, most applications have to handle large amounts of and data processing platform designed for managing large data. Architects of complex systems face a problem of amounts of data using large number of compute nodes. choosing a DBMS corresponding to reliability, scalability Despite original key-value nature of the system, the and usability requirements. Traditionally used RDBMS developers declare ACID compliance and full support for have several advantages, such as integrity control, data the SQL:1999 standard. consistency, matureness. However, the centralized data H2 Database is used as a subsystem to process SQL queries. -
TIBCO® MDM Cloud Deployment Guide Version 9.3.0 December 2020 Document Updated: March 2021
TIBCO® MDM Cloud Deployment Guide Version 9.3.0 December 2020 Document Updated: March 2021 Copyright © 1999-2020. TIBCO Software Inc. All Rights Reserved. 2 | Contents Contents Contents 2 TIBCO MDM on Container Platforms 3 TIBCO MDM All-in-one Container 3 Building and Running Docker Image for the TIBCO MDM All-in-one Container 4 TIBCO MDM Cluster 6 Build Docker Image for TIBCO MDM Cluster Container 8 TIBCO MDM Cluster Container Components YAML Files 9 Configuring Kubernetes Containers for TIBCO MDM 11 ConfigMap Parameters 13 Configuring Memory of Docker Container 15 Configure Memory and CPU for Kubernetes Pod 16 Configuration for Persistent Volume Types 16 Setting up Helm 18 TIBCO MDM Cluster on the Cloud 19 Tag and Push the Docker Image for Cloud Platforms 32 Deploying TIBCO MDM Cluster on Kubernetes by Using YAML Files 34 Deploying Kubernetes Dashboard (Optional) 35 Deploying TIBCO MDM Cluster by Using Helm 36 Access TIBCO MDM Cluster UI 37 TIBCO Documentation and Support Services 39 Legal and Third-Party Notices 41 TIBCO® MDM Cloud Deployment Guide 3 | TIBCO MDM on Container Platforms TIBCO MDM on Container Platforms You can containerize TIBCO MDM and run it in a Docker or Kubernetes environment. To containerize TIBCO MDM, you must build and run the Docker images using the bundled Docker ZIP file. The Dockerfiles are delivered as a ZIP file on the TIBCO eDelivery website. Download the TIB_mdm_9.3.0_container.zip file and extract its content to a separate directory. In the directory, locate the ready-to-use Dockerfile and other scripts required to build the images. -
Avril 2021 Mettre Le Cloud Européen Au Service De L’Économie De La Vie
Le Cloud européen : de grands enjeux pour l’Europe et cinq scénarios avec des impacts majeurs d’ici 2027-2030 Avril 2021 Mettre le cloud européen au service de l’économie de la vie. Mettre les données, virtuelles par essence, dans un stockage virtuel, était depuis longtemps une évidence prévisible, que la technologie a fini par imposer. Malheureusement, comme souvent, l’Europe a mis plus longtemps que beaucoup d’autres à le comprendre, laissant à Microsoft, Amazon et Google plus de 60% du marché du cloud public mondial. Aujourd’hui, cette absence de l’Europe est très grave et il convient d’y remédier au plus vite. D’abord, c’est un enjeu économique : D’ici à 2027, le marché du cloud en Europe pourrait atteindre plus de 260 milliards d’euros (contre 53 milliards d’euros aujourd’hui), ce qui le mettrait au même niveau que le marché actuel des télécommunications (environ 250 milliards d’euros en 2020). Et si les opérateurs de Cloud localisaient leurs opérations et leurs investissements en Europe, cela pourrait permettre en plus de créer environ 550 000 emplois entre 2021 et 2027 et déclencher des investissements significatifs (de l’ordre de 200 Md€ s sur la période 2021-2027). Cela serait aussi l’occasion de soutenir l’industrie des applications : le cloud n’est rien sans l’ensemble des services qui l’utilisent ; un cloud européen pourrait permettre de développer plus rapidement les entreprises européennes du logiciel, dans toutes les acceptions du mot. Cela permettrait aussi de développer dans un contexte sécurisé, les industries de la santé, de l’éducation, de la culture, des médias, de la sécurité, de l’assurance, de la finance ; tous secteurs fondamentaux dans la future économie de la vie.