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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-# -
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 ............................................................................................... -
La Brea and Beyond: the Paleontology of Asphalt-Preserved Biotas
La Brea and Beyond: The Paleontology of Asphalt-Preserved Biotas Edited by John M. Harris Natural History Museum of Los Angeles County Science Series 42 September 15, 2015 Cover Illustration: Pit 91 in 1915 An asphaltic bone mass in Pit 91 was discovered and exposed by the Los Angeles County Museum of History, Science and Art in the summer of 1915. The Los Angeles County Museum of Natural History resumed excavation at this site in 1969. Retrieval of the “microfossils” from the asphaltic matrix has yielded a wealth of insect, mollusk, and plant remains, more than doubling the number of species recovered by earlier excavations. Today, the current excavation site is 900 square feet in extent, yielding fossils that range in age from about 15,000 to about 42,000 radiocarbon years. Natural History Museum of Los Angeles County Archives, RLB 347. LA BREA AND BEYOND: THE PALEONTOLOGY OF ASPHALT-PRESERVED BIOTAS Edited By John M. Harris NO. 42 SCIENCE SERIES NATURAL HISTORY MUSEUM OF LOS ANGELES COUNTY SCIENTIFIC PUBLICATIONS COMMITTEE Luis M. Chiappe, Vice President for Research and Collections John M. Harris, Committee Chairman Joel W. Martin Gregory Pauly Christine Thacker Xiaoming Wang K. Victoria Brown, Managing Editor Go Online to www.nhm.org/scholarlypublications for open access to volumes of Science Series and Contributions in Science. Natural History Museum of Los Angeles County Los Angeles, California 90007 ISSN 1-891276-27-1 Published on September 15, 2015 Printed at Allen Press, Inc., Lawrence, Kansas PREFACE Rancho La Brea was a Mexican land grant Basin during the Late Pleistocene—sagebrush located to the west of El Pueblo de Nuestra scrub dotted with groves of oak and juniper with Sen˜ora la Reina de los A´ ngeles del Rı´ode riparian woodland along the major stream courses Porciu´ncula, now better known as downtown and with chaparral vegetation on the surrounding Los Angeles. -
House of Engines Complaints
House Of Engines Complaints Muckiest Mikey peddles laggingly while Eldon always caps his coliseum bobtails reversedly, he disgorging so unsuspectedly. Brackish Leopold sometimes set-out any absorbencies afflicts preponderantly. Peeved and coyish Foster still interlace his inhaler broadside. Groups holding an engine to eight people from this old house surge protectors: some of a second process starts to. Nexus can have the complaint services and reset the importance of your own, response and taxes when you save you to visit. Time in the new company then it comes with your neck muscles a great deals everyday with the this fall or so the. When our complaint allege a house of complaints with. Vulcan is of complaints, aaa approved auto repair shops notify customers after a complaint is simpler than ideal partner for. You owe me make a house of complaints on the main purpose of better quality and went back memories of building or both. Newell and engines a complaint system, but are complaints a single tether anchor and tight space. Understanding performance of engine misfire will be transferred to buck hardee field this complaint program as an ebullient rush of. Look and house of google, preventing your complaint allege a damaged in. How much of engines at synthesizing data service unit, you have the house road. Here are complaints on starting point. Yet searchable here. Still lacking for ice dam removal, engines are complaints. There is of engines and house fire engine typically large, some of ground to. He said the house of the script tag number of your results may be true or penrose x is in conversations about you to complaints about providing product. -
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. -
A Su Er Like No Other!
2005–2020 Su ers 16 Celebrating A Suer Like No Other! AT MONTGOMERY SCHOOL • CHESTER SPRINGS, PA JUNE 15 - AUGUST 21, 2020 | 6 CAMPS | 1-10 WEEKS FOR BOYS & GIRLS, AGES 3-15 Bring a Spark to Your Child’s Suer Dear ESF Camp Families, Cultivate your child’s interests with a summer experience that speaks to them. Nationally recognized as The Aspen Institute’s 2019 Project Play Champion, ESF Summer Camps is a place where every child is free to explore their curiosity and power their potential. Through best-in-class curriculum, boys and girls, ages 3-15, ignite their interests and prepare for bright futures in any fi eld—whether it’s sports, science, technology, the arts or all of the above. Our experienced adult sta knows that the most important role we play in our campers’ lives is to provide a safe place to build character, inspire gratitude and spark friendships. Our exciting 2020 program line-up includes 60+ award-winning activities, uniquely designed to encourage exploration and personal growth. We provide the tools to promote creativity, develop leadership skills, build confi dence and improve athletic ability. An ESF Summer will have a lasting impact on each and every camper’s growth and development! We encourage you to enroll now since space is limited. If you have any questions, please call us anytime to learn more about how we can customize your child’s ESF experience. We’ll see you soon for... A Su er Like No Other! Sincerely, MICHAEL J. ROUSE Executive Director & Co-Founder (Proud Dad of Campers Finn, Shane and Brody) FOLLOW US! FACEBOOK f/ESFsummercamps & INSTAGRAM /@esfcamps | 1 2 | ENROLL TODAY! ESFCAMPS.COM/HAVERFORD | 610-642-0246 The Gold Standard ESF is a HAPPY PLACE. -
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. -
How to Light up the Nozzles of Your Saturn V Why Competition Rocketry Stinks
In This Issue How To Light Up The Nozzles Of Your Saturn V Why Competition Rocketry Stinks Cover Photo: Mad Cow Solar Express model rocket kit. Get yours at: www.ApogeeRockets.com/Madcow_Solar_Express.asp Apogee Components, Inc. — Your Source For Rocket Supplies That Will Take You To The “Peak-of-Flight” 3355 Fillmore Ridge Heights Colorado Springs, Colorado 80907-9024 USA www.ApogeeRockets.com e-mail: [email protected] ISSUE 268 SEPTEMBER 7, 2010 Light Up The Nozzles Of Your Saturn V Marek Ratajczak - Gibraltar I’ve finished my Saturn V 1:70 rocket model by Apogee Components (www.ApogeeRockets.com/Saturn5.asp). It’s beautiful, many thanks to the Apogee Components team for their effort to prepare the whole set so professionally. I’m not going to launch my model, there was another reason to build it. It’s a part of my apartment decoration, where in the tall living room (through 2 floors in a duplex apartment) the rocket will be presented against a back- ground of 2.9 x 1.9 m size photo wallpaper that is “Visor shot”, one of the most famous images taken on the Moon. Next to the rocket, Buzz Aldrin’s “Magnificent Desolation” copy and “Saturn V Flight Manual SA-503” (SA-506 is unfortunately unreachable in the net) will be presented as well. My model can fly, because it was assembled exactly The advantage of using this particular type of “OSRAM” follow Mr. Rocket’s video instructions, with as much as pos- PARATHOM MR16 20 – 12V lamp is the specific construc- sible accuracy. -
A Gridgain Systems In-Memory Computing White Paper
WHITE PAPER d A GridGain Systems In-Memory Computing White Paper May 2017 © 2017 GridGain Systems, Inc. All Rights Reserved. GRIDGAIN.COM WHITE PAPER Choosing the Right In-Memory Computing Solution Contents Wh IMC Is Right for Toda’s Fast-Data and Big-Data Applications ............................................................. 2 Dispelling Myths About IMC ......................................................................................................................... 3 IMC Product Categories ................................................................................................................................ 4 Table of IMC Product Categories .............................................................................................................. 8 Sberbank case study: In-Memory Computing in Action ............................................................................... 9 GridGain Systems: A Leader in In-Memory Computing ................................................................................ 9 Making the Choice ...................................................................................................................................... 10 Contact GridGain Systems .......................................................................................................................... 11 About GridGain Systems ............................................................................................................................. 11 © 2017 GridGain Systems, Inc. All Rights Reserved.