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Histcoroy Pyright for Online Information and Ordering of This and Other Manning Books, Please Visit Topwicws W.Manning.Com
www.allitebooks.com HistCoroy pyright For online information and ordering of this and other Manning books, please visit Topwicws w.manning.com. The publisher offers discounts on this book when ordered in quantity. For more information, please contact Tutorials Special Sales Department Offers & D e al s Manning Publications Co. 20 Baldwin Road Highligh ts PO Box 761 Shelter Island, NY 11964 Email: [email protected] Settings ©2017 by Manning Publications Co. All rights reserved. Support No part of this publication may be reproduced, stored in a retrieval system, or Sign Out transmitted, in any form or by means electronic, mechanical, photocopying, or otherwise, without prior written permission of the publisher. Many of the designations used by manufacturers and sellers to distinguish their products are claimed as trademarks. Where those designations appear in the book, and Manning Publications was aware of a trademark claim, the designations have been printed in initial caps or all caps. Recognizing the importance of preserving what has been written, it is Manning’s policy to have the books we publish printed on acidfree paper, and we exert our best efforts to that end. Recognizing also our responsibility to conserve the resources of our planet, Manning books are printed on paper that is at least 15 percent recycled and processed without the use of elemental chlorine. Manning Publications Co. PO Box 761 Shelter Island, NY 11964 www.allitebooks.com Development editor: Cynthia Kane Review editor: Aleksandar Dragosavljević Technical development editor: Stan Bice Project editors: Kevin Sullivan, David Novak Copyeditor: Sharon Wilkey Proofreader: Melody Dolab Technical proofreader: Doug Warren Typesetter and cover design: Marija Tudor ISBN 9781617292576 Printed in the United States of America 1 2 3 4 5 6 7 8 9 10 – EBM – 22 21 20 19 18 17 www.allitebooks.com HistPoray rt 1. -
Mariadb / Mysql for Web Developers
www.fromdual.com MariaDB / MySQL for Web Developers Web Developer Congress 2020, remote Oli Sennhauser Senior MariaDB & MySQL Consultant at FromDual GmbH https://www.fromdual.com/presentations 1 / 27 About FromDual GmbH www.fromdual.com Support Consulting remote-DBA Training 2 / 27 Contents www.fromdual.com MariaDB / MySQL for Web Developers ➢ Databases ➢ Connecting to the database ➢ Basic database queries (SELECT) ➢ Changing Data (DML) ➢ Transactions ➢ Error Handling and Debugging ➢ Joining Tables ➢ Indexing 3 / 27 What are databases for? www.fromdual.com ● Primarily: Relational DBMS (RDBMS) ● Storing Business Information: ● CRM, ERP, Accounting, Shop, Booking, etc. ● What are they NOT for (non optimal)? ● Logs → Files, Logstash ● Images, PDFs, huge texts → Filer, Solr ● Trash → Waste bin 4 / 27 Different types of databases www.fromdual.com ● Flat files, CSV, ISAM ● Hierarchical database ● Relational databases (RDBMS) ● Network databases ● Object Oriented databases (OODBMS) ● Object Relational DBMS (ORDBMS) ● Graph databases ● Column Stores (MariaDB CS) ● "Document" Stores (JSON, MongoDB) ● Wide Column Stores (Cassandra, HBase) 5 / 27 Common Relational DBMS www.fromdual.com ● MariaDB ● more in the Web-Client-Server field (LAMP) ● MySQL ● more in the Web-Client-Server field (LAMP) ● PostgreSQL ● more in the fat-Client-Server Business Software field ● SQLite ● Not a real "Client-Server-DBMS" → Library ● Embedded DBMS (Industry, Firefox, etc.) 6 / 27 Connection to the DBMS www.fromdual.com ● GUI (MySQL Workbench, HeidiSQL) ● CLI (mariadb, -
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-# -
Data Platforms Map from 451 Research
1 2 3 4 5 6 Azure AgilData Cloudera Distribu2on HDInsight Metascale of Apache Kaa MapR Streams MapR Hortonworks Towards Teradata Listener Doopex Apache Spark Strao enterprise search Apache Solr Google Cloud Confluent/Apache Kaa Al2scale Qubole AWS IBM Azure DataTorrent/Apache Apex PipelineDB Dataproc BigInsights Apache Lucene Apache Samza EMR Data Lake IBM Analy2cs for Apache Spark Oracle Stream Explorer Teradata Cloud Databricks A Towards SRCH2 So\ware AG for Hadoop Oracle Big Data Cloud A E-discovery TIBCO StreamBase Cloudera Elas2csearch SQLStream Data Elas2c Found Apache S4 Apache Storm Rackspace Non-relaonal Oracle Big Data Appliance ObjectRocket for IBM InfoSphere Streams xPlenty Apache Hadoop HP IDOL Elas2csearch Google Azure Stream Analy2cs Data Ar2sans Apache Flink Azure Cloud EsgnDB/ zone Platforms Oracle Dataflow Endeca Server Search AWS Apache Apache IBM Ac2an Treasure Avio Kinesis LeanXcale Trafodion Splice Machine MammothDB Drill Presto Big SQL Vortex Data SciDB HPCC AsterixDB IBM InfoSphere Towards LucidWorks Starcounter SQLite Apache Teradata Map Data Explorer Firebird Apache Apache JethroData Pivotal HD/ Apache Cazena CitusDB SIEM Big Data Tajo Hive Impala Apache HAWQ Kudu Aster Loggly Ac2an Ingres Sumo Cloudera SAP Sybase ASE IBM PureData January 2016 Logic Search for Analy2cs/dashDB Logentries SAP Sybase SQL Anywhere Key: B TIBCO Splunk Maana Rela%onal zone B LogLogic EnterpriseDB SQream General purpose Postgres-XL Microso\ Ry\ X15 So\ware Oracle IBM SAP SQL Server Oracle Teradata Specialist analy2c PostgreSQL Exadata -
Mysql Workbench Hide Schema from User
Mysql Workbench Hide Schema From User Collembolan Vern etymologises that cross-questions cached charmlessly and complains indistinguishably. Coprolaliac Wilden sometimes warring his pettings frolicsomely and sectarianized so heathenishly! Agile Thedrick disenfranchise unmixedly, he kicks his motherwort very biographically. Once from workbench script that user to hide essential data and information to remove any way as python modules, options are of. So whose are hidden Only the Schema column is shown in the embedded window. Sql development perspective and from grt data source model and string values without giving me? Models from users will then schema name and user must be suitable size by clicking any tasks that helps enhance usability. Doing this workbench from users or schemas that. This as shown below command line of privileges keyword is fetched successfully. Views in MySQL Tutorial Create Join & Drop with Examples. MySQL Workbench Review Percona Database Performance. Oct 29 2017 MySQL Workbench If husband want to leave writing sql you by also. Using the Workbench Panoply Docs. MySQL View javatpoint. You rather hide sleeping connections and turning at running queries only. The universal database manager for having with SQL Just swap click to hide all. Can it hide schemas in the schema panel in MySQL Workbench. You can hide or from users, i am getting acquainted with any other privilege. MySQL Workbench is a visual database design tool that integrates SQL development. MySQL Workbench is GUI Graphical User Interface tool for MySQL database It allows you to browse create. Charts and Elements Align Charts To Printing Bounds Show in Chart so Send backward. -
Data Managementmanagementdata for Scientific Research
DDaattaa MMaannaaggeemmeenntt For Scientific Research Photo: © Stanza. Used with permission. CCoouurrssee IInnttrroodduuccttiioonn Welcome to a course in data management for scientific research projects. CCoouurrssee SSttrruuccttuurree Casual “guided” study-group approach Presentations, demos, hands-on exercises, discussions and “homework” Materials: A textbook, eBooks, websites, and online videos WWhhyy TTaakkee TThhiiss CCoouurrssee?? PracticalComputing.org Researchers work with increasing amounts of data. Many students do not have training in data management. Science degree programs generally do not address this gap. It is difficult for “non-majors” to get into IT courses. This leaves students and research teams struggling to cope. And therefore places a heavy burden on IT support. Our data management course provides the needed skills to address these issues. Exciting new discoveries await those who can effectively sift through mounds of data! Participant IntroductionsIntroductionsParticipant Please introduce yourself and share your: Degree program and emphasis Research area (general topic) Your current research project (specific topic) The types of data or data systems you use in this project What you hope to get out of this course Session 1: Data System Essentials How will you manage your data? You need a data system. There are many choices. To pick the best one, you need to state your requirements. Photo: NASA Today's Learning Objectives In this session, you will … Become familiar with common types of data systems Learn to differentiate between flat files and relational databases Learn to differentiate between spreadsheets and databases Learn how to model system functions and interactions Learn how to create system diagrams Learn how to state system requirements Ultimately, this knowledge will help you select or design the best data system for your needs. -
Presto: the Definitive Guide
Presto The Definitive Guide SQL at Any Scale, on Any Storage, in Any Environment Compliments of Matt Fuller, Manfred Moser & Martin Traverso Virtual Book Tour Starburst presents Presto: The Definitive Guide Register Now! Starburst is hosting a virtual book tour series where attendees will: Meet the authors: • Meet the authors from the comfort of your own home Matt Fuller • Meet the Presto creators and participate in an Ask Me Anything (AMA) session with the book Manfred Moser authors + Presto creators • Meet special guest speakers from Martin your favorite podcasts who will Traverso moderate the AMA Register here to save your spot. Praise for Presto: The Definitive Guide This book provides a great introduction to Presto and teaches you everything you need to know to start your successful usage of Presto. —Dain Sundstrom and David Phillips, Creators of the Presto Projects and Founders of the Presto Software Foundation Presto plays a key role in enabling analysis at Pinterest. This book covers the Presto essentials, from use cases through how to run Presto at massive scale. —Ashish Kumar Singh, Tech Lead, Bigdata Query Processing Platform, Pinterest Presto has set the bar in both community-building and technical excellence for lightning- fast analytical processing on stored data in modern cloud architectures. This book is a must-read for companies looking to modernize their analytics stack. —Jay Kreps, Cocreator of Apache Kafka, Cofounder and CEO of Confluent Presto has saved us all—both in academia and industry—countless hours of work, allowing us all to avoid having to write code to manage distributed query processing. -
Webscalesql : Basic Details and Installation
The Customize Windows Technology Blog http://thecustomizewindows.com WebScaleSQL : Basic Details and Installation Author : Abhishek WebScaleSQL is a modified MySQL Database developed by Engineers at Facebook, Google, LinkedIn, and Twitter for making kind of scalable SQL. Everyone knows about MySQL Database. Those who do not know what is MySQL, they can read our previously published article - What is MySQL, Why We Need MySQL. At the time of publishing this article; WebScaleSQL is on everyone's lips. MySQL is great, but it is not intended to be Scalable when it was written, that is the basic reason why we try to make Scalable MySQL Database for CMS like WordPress in a kind of legacy mode. WebScaleSQL is kind of fork of MySQL. WebScaleSQL : Basics Need for the Approach Flexibility and Scalability are the Key Benefits of Cloud Computing. Again, Scalability and Service Continuity are Not equivalent. There is another a MySQL Improved Extension - MySQLi. There are reasons why NoSQL Movement was started. 1 / 4 The Customize Windows Technology Blog http://thecustomizewindows.com Official website of WebScaleSQL is : http://webscalesql.org/ But, we do not need the official website, but the Github repository : https://github.com/webscalesql/webscalesql-5.6/tree/webscalesql-5.6.16 2 / 4 The Customize Windows Technology Blog http://thecustomizewindows.com Do you know that, PostgreSQL; one of the most popular noSQL database actually can be used instead of MySQL for WordPress? MariaDB is constantly merged with MySQL community edition. Instead of writing vague collected data on WebScaleSQL, let us install WebScaleSQL. WebScaleSQL : Installation In order to test WebScaleSQL, we will need the following dependencies : + cmake + gcc + libaio-dev + libncurses5-dev + libreadline- dev + bison + git + perl I believe, WebScaleSQL is not intended for use on a VirtualBox as a Virtual Appliance. -
A Novel Approach for Estimating Truck Factors
A Novel Approach for Estimating Truck Factors Guilherme Avelino∗y, Leonardo Passosz, Andre Hora∗ and Marco Tulio Valente∗ ∗ASERG Group, Department of Computer Science (DCC) Federal University of Minas Gerais (UFMG), Brazil Email: fgaa, mtov, [email protected] y Department of Computing (DC) Federal University of Piaui (UFPI), Brazil zUniversity of Waterloo, Canada Email: [email protected] Abstract—Truck Factor (TF) is a metric proposed by the agile for TF-estimation for which we apply to a target corpus community as a tool to identify concentration of knowledge comprising 133 systems in GitHub. In total, such systems in software development environments. It states the minimal have over 373K files and 41 MLOC; their combined evolution number of developers that have to be hit by a truck (or quit) before a project is incapacitated. In other words, TF helps history sums to over 2 million commits. By surveying and to measure how prepared is a project to deal with developer analyzing answers from 67 target systems, we evidence that in turnover. Despite its clear relevance, few studies explore this 84% of valid answers developers agree or partially agree that metric. Altogether there is no consensus about how to calculate it, the TF’s authors are the main authors of their systems; in 53% and no supporting evidence backing estimates for systems in the we receive a positive or partially positive answer regarding our wild. To mitigate both issues, we propose a novel (and automated) approach for estimating TF-values, which we execute against estimated truck factors. a corpus of 133 popular project in GitHub. -
Mariadb Viable Mysql Replacement Scale12x.Pdf
MariaDB: Viable MySQL replacement Colin Charles, Team MariaDB, SkySQL Ab [email protected] | [email protected] http://mariadb.org/ http://bytebot.net/blog/ | @bytebot on Twitter SCALE12x, Los Angeles, California, USA 22 February 2014 Sunday, 23 February 14 whoami • Work on MariaDB at SkySQL Ab • Merged with Monty Program Ab, makers of MariaDB • Formerly MySQL AB (exit: Sun Microsystems) • Past lives include Fedora Project (FESCO), OpenOffice.org • MHA experience • since November 2011 (MHA 0.52, 0.53) • NRE work to make it run in a Solaris 10 environment... with no Internet access! • Continued deployment advice + work for data centre use • Much thanks to SkySQL for the experience Sunday, 23 February 14 MySQL? Percona Server? MariaDB? Sunday, 23 February 14 Agenda • 4 years: major server releases (5.1, 5.2, 5.3, 5.5, 5.5+TokuDB, Galera Cluster) and 10.0 series • Delving into history of previous releases • MariaDB 10.0 • Client libraries, Galera Cluster • Roadmap Sunday, 23 February 14 What isn’t covered • MariaDB Enterprise • Galera Cluster + GUI + API • mariadb.com • SkySQL • trademarks... Sunday, 23 February 14 What is MariaDB? • Community developed branch of MySQL • Feature enhanced • Fully compatible & feature complete with MySQL Sunday, 23 February 14 Backed by MariaDB Foundation • Driver of the MariaDB project • Foundation not controlled by single entity/ person; has a Board • Ensure MariaDB is compatible with MySQL, maintain mariadb.org, keep community voice • Major sponsors: SkySQL, Parallels, Booking.com, Automattic, OpenQuery, Percona, -
Facebook Mysql Async.Pdf
Asynchronous MySQL How Facebook Queries Databases Chip Turner – [email protected] 2014-04-02 Our Codebase § A fancy website written in PHP (which became Hack) § Grew organically over time § Accrued technical debt, then paid it off as we scaled § Many backend services written in C++ § Operations tools (99% Python, 1% PHP, 1% Perl, 1% …) Our Servers and Network § Hundreds of thousands of servers § “Many, many” webservers § “Many” databases § Sharded data model § Single master, multiple replicas § One copy of each shard in each datacenter § Multiple datacenters worldwide A Sense of Scale § PHP code issues 10,000 QPS … of errors § Connection refused, failovers, solar flares, timeouts, you name it § Retries usually make these invisible to the application § 12,000,000 QPS of actual queries from webservers § 8,400,000 QPS of Async MySQL queries (up from 0 one year ago) § Average query time: 9ms § 30 hours of queries executed per second § This is just PHP – does not include TAO, warehousing, or other use cases DB Client Team § Formed a team in early 2013 to focus on database client issues § Most original database client code came along as necessary, not designed § Problem space is both querying databases and finding the right database to query; this is surprisingly tricky § Primarily OLTP workload § Usability, security, reliability are all goals Security - http://xkcd.com/327/ Security team also focuses on this area; joint responsibility. They make it secure, we make it easier to use. Different Kinds of Performance § Throughput § Queries per second or -
The Self-Explanatory Pascal Language Has Inspired Me for 30 Years. It Is A
SUCCESS STORY HEIDISQL Ansgar Becker has been developing a lean database client using Delphi since 1999. In the beginning it was only meant for MySQL, but over the years HeidiSQL has established itself worldwide as a very popular and frequently used OpenSource tool, as have SQL Server, PostgreSQL, and SQLite. APPLICATION HeidiSQL would never have progressed HeidiSQL so fast without the new features of Delphi. DEVELOPER The diverse components of the VCL offer lean Ansgar Becker solutions for many practical purposes. – Ansgar Becker GENRE Management Client for Database ‘‘ Systems CHALLENGE • MySql, MariaDB In 1998, the author and web developer was not satisfied with the programs available • SQL Server to him at that time to manage a MySQL server. The desire arose to visualize the • PostgreSQL database structures as intuitively as possible. Due to school knowledge in Turbo • SQLite Pascal, the Delphi 3 license of the employer, and the still very young Internet, a whole world of possibilities was available to him. At the same time, Matthias’’ USED TOOLS Fichtner published his Delphi translation of the mysql.h header file. With this, the first connections to the MySQL server were established. Equipped with these Delphi, VCL prerequisites, a customized user interface had to be designed and implemented. Since then, the Delphi Form-Designer and the endless possibilities of the VCL have inspired Becker again and again to improve usability. The self-explanatory Pascal language has inspired me for 30 years. It is a high-level language with natural elements, which is very easy to learn and always a welcome change for me as a web developer.