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  • MySQL Cluster 7.2: Over 8x Higher Performance than Cluster 7.1

    - by Mat Keep
    0 0 1 893 5092 Homework 42 11 5974 14.0 Normal 0 false false false EN-US JA X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:12.0pt; font-family:Cambria; mso-ascii-font-family:Cambria; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Cambria; mso-hansi-theme-font:minor-latin; mso-ansi-language:EN-US;} Summary The scalability enhancements delivered by extensions to multi-threaded data nodes enables MySQL Cluster 7.2 to deliver over 8x higher performance than the previous MySQL Cluster 7.1 release on a recent benchmark What’s New in MySQL Cluster 7.2 MySQL Cluster 7.2 was released as GA (Generally Available) in February 2012, delivering many enhancements to performance on complex queries, new NoSQL Key / Value API, cross-data center replication and ease-of-use. These enhancements are summarized in the Figure below, and detailed in the MySQL Cluster New Features whitepaper Figure 1: Next Generation Web Services, Cross Data Center Replication and Ease-of-Use Once of the key enhancements delivered in MySQL Cluster 7.2 is extensions made to the multi-threading processes of the data nodes. Multi-Threaded Data Node Extensions The MySQL Cluster 7.2 data node is now functionally divided into seven thread types: 1) Local Data Manager threads (ldm). Note – these are sometimes also called LQH threads. 2) Transaction Coordinator threads (tc) 3) Asynchronous Replication threads (rep) 4) Schema Management threads (main) 5) Network receiver threads (recv) 6) Network send threads (send) 7) IO threads Each of these thread types are discussed in more detail below. MySQL Cluster 7.2 increases the maximum number of LDM threads from 4 to 16. The LDM contains the actual data, which means that when using 16 threads the data is more heavily partitioned (this is automatic in MySQL Cluster). Each LDM thread maintains its own set of data partitions, index partitions and REDO log. The number of LDM partitions per data node is not dynamically configurable, but it is possible, however, to map more than one partition onto each LDM thread, providing flexibility in modifying the number of LDM threads. The TC domain stores the state of in-flight transactions. This means that every new transaction can easily be assigned to a new TC thread. Testing has shown that in most cases 1 TC thread per 2 LDM threads is sufficient, and in many cases even 1 TC thread per 4 LDM threads is also acceptable. Testing also demonstrated that in some instances where the workload needed to sustain very high update loads it is necessary to configure 3 to 4 TC threads per 4 LDM threads. In the previous MySQL Cluster 7.1 release, only one TC thread was available. This limit has been increased to 16 TC threads in MySQL Cluster 7.2. The TC domain also manages the Adaptive Query Localization functionality introduced in MySQL Cluster 7.2 that significantly enhanced complex query performance by pushing JOIN operations down to the data nodes. Asynchronous Replication was separated into its own thread with the release of MySQL Cluster 7.1, and has not been modified in the latest 7.2 release. To scale the number of TC threads, it was necessary to separate the Schema Management domain from the TC domain. The schema management thread has little load, so is implemented with a single thread. The Network receiver domain was bound to 1 thread in MySQL Cluster 7.1. With the increase of threads in MySQL Cluster 7.2 it is also necessary to increase the number of recv threads to 8. This enables each receive thread to service one or more sockets used to communicate with other nodes the Cluster. The Network send thread is a new thread type introduced in MySQL Cluster 7.2. Previously other threads handled the sending operations themselves, which can provide for lower latency. To achieve highest throughput however, it has been necessary to create dedicated send threads, of which 8 can be configured. It is still possible to configure MySQL Cluster 7.2 to a legacy mode that does not use any of the send threads – useful for those workloads that are most sensitive to latency. The IO Thread is the final thread type and there have been no changes to this domain in MySQL Cluster 7.2. Multiple IO threads were already available, which could be configured to either one thread per open file, or to a fixed number of IO threads that handle the IO traffic. Except when using compression on disk, the IO threads typically have a very light load. Benchmarking the Scalability Enhancements The scalability enhancements discussed above have made it possible to scale CPU usage of each data node to more than 5x of that possible in MySQL Cluster 7.1. In addition, a number of bottlenecks have been removed, making it possible to scale data node performance by even more than 5x. Figure 2: MySQL Cluster 7.2 Delivers 8.4x Higher Performance than 7.1 The flexAsynch benchmark was used to compare MySQL Cluster 7.2 performance to 7.1 across an 8-node Intel Xeon x5670-based cluster of dual socket commodity servers (6 cores each). As the results demonstrate, MySQL Cluster 7.2 delivers over 8x higher performance per data nodes than MySQL Cluster 7.1. More details of this and other benchmarks will be published in a new whitepaper – coming soon, so stay tuned! In a following blog post, I’ll provide recommendations on optimum thread configurations for different types of server processor. You can also learn more from the Best Practices Guide to Optimizing Performance of MySQL Cluster Conclusion MySQL Cluster has achieved a range of impressive benchmark results, and set in context with the previous 7.1 release, is able to deliver over 8x higher performance per node. As a result, the multi-threaded data node extensions not only serve to increase performance of MySQL Cluster, they also enable users to achieve significantly improved levels of utilization from current and future generations of massively multi-core, multi-thread processor designs.

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  • Digg Moves From MySQL to NoSQL

    <b>Datamation:</b> "Social networking and voting site Digg is rewriting its underlying software infrastructure in an effort to improve performance and scalability. Part of that effort involves moving away from the MySQL database that has helped to power Digg since its creation."

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  • SQLAuthority News – Weekend Experiment with NuoDB – Points to Pondor and Whitepaper

    - by pinaldave
    This weekend I have downloaded the latest beta version of NuoDB. I found it much improved and better UI. I was very much impressed as the installation was very smooth and I was up and running in less than 5 minutes with the product. The tools which are related to the Administration of the NuoDB seems to get makeover during this beta release. As per the claim they support now Solaris platform and have improved the native MacOS installation. I neither have Mac nor Solaris – I wish I would have experimented with the same. I will appreciate if anyone out there can confirm how the installations goes on these platforms. I have previously blogged about my experiment with NuoDB here: SQL SERVER – Weekend Project – Experimenting with ACID Transactions, SQL Compliant, Elastically Scalable Database SQL SERVER – Beginning NuoDB – Who will Benefit and How to Start SQL SERVER – Follow up on Beginning NuoDB – Who will Benefit and How to Start – Part 2 I am very impressed with the product so far and I have decided to understand the product further deep. Here are few of the questions which I am going to try to find answers with regards to NuoDB. Just so it is clear – NuoDB is not NOSQL, matter of the fact, it is following all the ACID properties of the database. If ACID properties are crucial why many NoSQL products are not adhering to it? (There are few out there do follow ACID but not all). I do understand the scalability of the database however does elasticity is crucial for the database and if yes how? (Elasticity is where the workload on the database is heavily fluctuating and the need of more than a single database server is coming up). How NuoDB has built scalable, elastic and 100% ACID compliance database which supports multiple platforms? How is NOSQL compared to NuoDB’s new architecture? In the next coming weeks, I am going to explore above concepts and dive deeper into the understanding of the same. Meanwhile I have read following white paper written by Experts at University of California at Santa Barbara. Very interesting read and great starter on the subject Database Scalability, Elasticity, and Autonomy in the Cloud. Additionally, my questions are also talking about NoSQL, this weekend I have started to learn about NoSQL from Pluralsight‘s online learning library. I will share my experience very soon. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQL White Papers, T SQL, Technology Tagged: NuoDB

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  • Oracle ETPM v2.3.1 Examachine Performance Benchmark Data Sheet

    - by Paula Speranza-Hadley
    Oracle Tax is pleased to announce the exceptional results of the Oracle ETPM v2.3.1 Examachine performance benchmark.   The benchmark achieved the following results:  · Processed8M outpayments and 2M payments in  6 hours · Processed 1M forms in 4 hours · Near  linear scalability of batch processing For the complete data sheet, please click on the following link:  https://blogs.oracle.com/tax/resource/OracleETPMv231ExamachinePerformanceBenchmarkDataSheet.pdf

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  • Cloud Computing = Elasticity * Availability

    - by Herve Roggero
    What is cloud computing? Is hosting the same thing as cloud computing? Are you running a cloud if you already use virtual machines? What is the difference between Infrastructure as a Service (IaaS) and a cloud provider? And the list goes on… these questions keep coming up and all try to fundamentally explain what “cloud” means relative to other concepts. At the risk of over simplification, answering these questions becomes simpler once you understand the primary foundations of cloud computing: Elasticity and Availability.   Elasticity The basic value proposition of cloud computing is to pay as you go, and to pay for what you use. This implies that an application can expand and contract on demand, across all its tiers (presentation layer, services, database, security…).  This also implies that application components can grow independently from each other. So if you need more storage for your database, you should be able to grow that tier without affecting, reconfiguring or changing the other tiers. Basically, cloud applications behave like a sponge; when you add water to a sponge, it grows in size; in the application world, the more customers you add, the more it grows. Pure IaaS providers will provide certain benefits, specifically in terms of operating costs, but an IaaS provider will not help you in making your applications elastic; neither will Virtual Machines. The smallest elasticity unit of an IaaS provider and a Virtual Machine environment is a server (physical or virtual). While adding servers in a datacenter helps in achieving scale, it is hardly enough. The application has yet to use this hardware.  If the process of adding computing resources is not transparent to the application, the application is not elastic.   As you can see from the above description, designing for the cloud is not about more servers; it is about designing an application for elasticity regardless of the underlying server farm.   Availability The fact of the matter is that making applications highly available is hard. It requires highly specialized tools and trained staff. On top of it, it's expensive. Many companies are required to run multiple data centers due to high availability requirements. In some organizations, some data centers are simply on standby, waiting to be used in a case of a failover. Other organizations are able to achieve a certain level of success with active/active data centers, in which all available data centers serve incoming user requests. While achieving high availability for services is relatively simple, establishing a highly available database farm is far more complex. In fact it is so complex that many companies establish yearly tests to validate failover procedures.   To a certain degree certain IaaS provides can assist with complex disaster recovery planning and setting up data centers that can achieve successful failover. However the burden is still on the corporation to manage and maintain such an environment, including regular hardware and software upgrades. Cloud computing on the other hand removes most of the disaster recovery requirements by hiding many of the underlying complexities.   Cloud Providers A cloud provider is an infrastructure provider offering additional tools to achieve application elasticity and availability that are not usually available on-premise. For example Microsoft Azure provides a simple configuration screen that makes it possible to run 1 or 100 web sites by clicking a button or two on a screen (simplifying provisioning), and soon SQL Azure will offer Data Federation to allow database sharding (which allows you to scale the database tier seamlessly and automatically). Other cloud providers offer certain features that are not available on-premise as well, such as the Amazon SC3 (Simple Storage Service) which gives you virtually unlimited storage capabilities for simple data stores, which is somewhat equivalent to the Microsoft Azure Table offering (offering a server-independent data storage model). Unlike IaaS providers, cloud providers give you the necessary tools to adopt elasticity as part of your application architecture.    Some cloud providers offer built-in high availability that get you out of the business of configuring clustered solutions, or running multiple data centers. Some cloud providers will give you more control (which puts some of that burden back on the customers' shoulder) and others will tend to make high availability totally transparent. For example, SQL Azure provides high availability automatically which would be very difficult to achieve (and very costly) on premise.   Keep in mind that each cloud provider has its strengths and weaknesses; some are better at achieving transparent scalability and server independence than others.    Not for Everyone Note however that it is up to you to leverage the elasticity capabilities of a cloud provider, as discussed previously; if you build a website that does not need to scale, for which elasticity is not important, then you can use a traditional host provider unless you also need high availability. Leveraging the technologies of cloud providers can be difficult and can become a journey for companies that build their solutions in a scale up fashion. Cloud computing promises to address cost containment and scalability of applications with built-in high availability. If your application does not need to scale or you do not need high availability, then cloud computing may not be for you. In fact, you may pay a premium to run your applications with cloud providers due to the underlying technologies built specifically for scalability and availability requirements. And as such, the cloud is not for everyone.   Consistent Customer Experience, Predictable Cost With all its complexities, buzz and foggy definition, cloud computing boils down to a simple objective: consistent customer experience at a predictable cost.  The objective of a cloud solution is to provide the same user experience to your last customer than the first, while keeping your operating costs directly proportional to the number of customers you have. Making your applications elastic and highly available across all its tiers, with as much automation as possible, achieves the first objective of a consistent customer experience. And the ability to expand and contract the infrastructure footprint of your application dynamically achieves the cost containment objectives.     Herve Roggero is a SQL Azure MVP and co-author of Pro SQL Azure (APress).  He is the co-founder of Blue Syntax Consulting (www.bluesyntax.net), a company focusing on cloud computing technologies helping customers understand and adopt cloud computing technologies. For more information contact herve at hroggero @ bluesyntax.net .

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  • Extreme Performance and Scale Delivered by SOA on Oracle Exalogic

    - by J Swaroop
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  • Constraint-based expert systems design and development [on hold]

    - by Alex B.
    I would appreciate some recommendations & resources on design and development of expert systems, in particular, knowledge-based & constraint-based (not recommendation) systems. Ideally, your answers should consider the perspective (context) of using a SaaS business model and open source rules engine. How would you advise to address performance, scalability and other architectural criteria? Any other considerations on undertaking such project will be appreciated. Thanks much in advance!

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  • What are some best practices for cookie based web authentication?

    - by rdasxy
    I'm working on a small side project using CGI and Python (scalability is not an issue and it needs to be a VERY simple system. I was thinking of implementing authentication using cookies, and was wondering if there were any established best practices. When the user successfully authenticates, I want to use cookies to figure out who is logged on. What, according to the best practices, should be stored in such a cookie?

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  • What are the design decisions involved in choosing how to expose a Java web application?

    - by Gary Rowe
    There are many ways to expose a Java web application to the consumer: application container (JBoss etc), servlet container (Tomcat etc), OSGi (Knopflerfish etc), self-executable WAR (Winstone etc) and so on. Are there any clear considerations where one approach should be favoured over another? As an example, could a collection of self-executable WARs running as raw Unix processes outperform the same applications deployed within Tomcat taking into account administration and scalability concerns?

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  • Final Series Webcast: Exalogic Enables Super Fast Oracle Apps - Nov 29, 18:00 GMT

    - by swalker
    Invite customers to learn how Exalogic provides high-speed performance for Oracle JD Edwards, E-Business Suite, and PeopleSoft Enterprise applications. The third and final webcast in this series "Oracle Exalogic for Oracle PeopleSoft Applications," November 29, 2011 at 10AM PT, will show customers how Exalogic can simplify their PeopleSoft architecture and help them achieve new levels of performance, scalability, and reliability. Share this evite.

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  • Differences between TypeScript and Dart

    - by margabit
    Microsoft recently unveiled Typescript, a new JavaScript-like programming language. Some time ago, I heard about Dart, a new programming language created by Google to solve problems related to Javascript like performance, scalability, etc.. The purpose of both new languages seem the same to me.. What do you think? Are the purposes of the languages the same? What are the real differences about them?

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  • SQL Azure Pricing Options Coming This Month

    Microsoft today announced plans to introduce new SQL Azure pricing options later this month, based on the platform's improved scalability...Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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  • Academy Webcast: Moving C/S applications to Windows Azure

    - by Visual WebGui
    The Cloud and SaaS models are changing the face of enterprise IT in terms of economics, scalability and accessibility. As I wrote before Visual WebGui Instant CloudMove transforms your Client / Server application code to run natively as .NET on Windows Azure and enables your Azure Client / Server application to have a secured-by-design plain Web or Mobile browser based accessibility. On Tuesday 8 March at 8am (USA Pacific Time) Itzik Spitzen VP of R&D @ Gizmox will present a webcast on Microsoft...(read more)

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  • Help needed on a UI/Developer Interview

    - by AJ Seth
    I have a phone interview with a major Internet company and it is a mostly front-end developer position. If anyone has experience with UI/developer interviews and can give some advice/questions asked etc. that'll be great. Additionally, what resources can be read and reviewed for the following: Designing for performance, scalability and availability Internet and OS security fundamentals EDIT: Now I am told that the interview I am told will be mostly on coding, Data Structures, design questions etc. Anyone?

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  • Erlang web frameworks survey

    - by Zachary K
    (Inspired by similar question on Haskel) There are several web frameworks for Erlang like Nitrogen, Chicago Boss, and Zotonic, and a few more. In what aspects do they differ from each other? For example: features (e.g. server only, or also client scripting, easy support for different kinds of database) maturity (e.g. stability, documentation quality) scalability (e.g. performance, handy abstraction) main targets Also, what are examples of real-world sites / web apps using these frameworks?

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  • Is event sourcing ready for prime time?

    - by Dakotah North
    Event Sourcing was popularized by LMAX as a means to provide speed, performance scalability, transparent persistence and transparent live mirroring. Before being rebranded as Event Sourcing, this type of architectural pattern was known as System Prevalence but yet I was never familiar with this pattern before the LMAX team went public. Has this pattern proved itself in numerous production systems and therefore even conservative individuals should feel empowered to embrace this pattern or is event sourcing / system prevalence an exotic pattern that is best left for the fearless?

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  • Cloud Computing Can Help You Realize Savings

    Simply speaking, the concept of cloud computing allows you to forget about the size, the scalability, the usually large capital investment for your hardware infrastructure. It may be difficult to gra... [Author: George Hadjiyanis - Computers and Internet - March 23, 2010]

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  • Value Chain Execution E-Book

    - by John Murphy
    Taking a smart approach to logistics – from streamlining transport networks and global trade management, to optimizing everyday warehouse operations – can simultaneously reduce costs and maximize competitive advantage.Download your exclusive Oracle e-book, Oracle Value Chain Execution: Reinventing Logistics Excellence, to learn why our world-leading, unified solution is relied on by market-leading companies across the planet.Discover how it can help you: Drive business agility, scalability and innovation Reduce costs and increase efficiency Enhance visibility, productivity and inventory accuracy Simplify compliance and mitigate risk Measure and boost customer satisfaction See what reinventing logistics excellence could mean for your organization.

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  • New and Improved Functionality in SSIS 2008

    While it does not bring revolutionary changes, the release of SQL Server 2008 delivers functionality, scalability, and performance improvements to SQL Server Integration Services (SSIS). Here is a comprehensive listing of new and enhanced features of SSIS with a short description of each.

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  • Resources relating to Java EE and Scala

    - by Ant Kutschera
    Are there any good sites / blogs / books / articles on using Java EE together with Scala? Or indeed articles saying that it should not be done. Many Scala resources talk about using Akka and Lift. Akka solves a different domain problem than Java EE. I don't know Lift, but I assume its geared towards the web end of Java EE and doesn't replace app server containers which provide transactions, security, scalability, resource management, reliability, etc. (all those things which Java EE markets itself as being good at).

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  • Mobile Apps: An Ongoing Revolution

    - by Steve Walker
    a guest post from Suhas Uliyar, VP Mobile Strategy, Product Management, Oracle The rise of smartphone apps have proved transformational for businesses, increasing the productivity of employees while simultaneously creating some seriously cool end user experiences. But this is a revolution that is only just beginning. Over the next few years, apps will change everything about the way enterprises work as well as overhauling the experiences of customers. The spark for this revolution is simplicity. Simplicity has already proved important for the front-end of apps, which are now often as compelling and intuitive as consumer apps. Businesses will encourage this trend, both to further increase employee productivity and to attract ‘digital natives’ (as employees and customers). With the variety of front-end development tools available already, this should be a simple mission for developers to accomplish – but front-end simplicity alone is not enough for the enterprise mobile revolution. Without the right content even the most user-friendly app is useless. Yet when it comes to integrating apps with ‘back-end’ systems to enable this content, developers often face a complex, costly and time-consuming task. Then there is security: how can developers strike a balance between complying with enterprise security policies and keeping the user experience simple? Complexity has acted as a brake on innovation, with integration and security compliance swallowing enterprise resources. This is why the simplification of integration, security and scalability is so important: it frees time and money for revolutionary innovation. The key is to put in place a complete and unified SOA integration platform that runs across the entire enterprise and enables organizations to easily integrate and connect applications across IT environments. The platform must also be capable of abstracting apps from the underlying OS and enabling a ‘write-once, run- anywhere’ capability for mobile devices - essential for BYOD environments and integrating third-party apps. Mobile Back-end-as-a-Service can also be very important in streamlining back-end integration. Mobile services offered through the cloud can simplify mobile application development with a standard approach to dealing with complex server-side programming and integration issues. This allows the business to innovate at its own pace while providing developers with a choice of tools to speed development and integration. Finally, there is security, which must be done in a way that encourages users to make the most of their mobile devices and applications. As mobile users, we want convenience and that is why we generally approve of businesses that adopt BYOD policies. Enterprises can safely encourage BYOD as they can separate, protect, and wipe corporate applications by installing a secure ‘container’ around corporate applications on any mobile device. BYOD management also means users’ personal applications and data can be kept separate from the enterprise information – giving them the confidence they need to embrace the use of their devices for corporate apps. Enterprises that place mobility at the heart of what they do will fundamentally transform their businesses and leap ahead of the competition. As businesses take to mobile platforms that simplify integration, security and scalability we will see a blossoming of innovation that will drive new levels of user convenience and create new ways of working that we are only beginning to imagine.

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  • Google I/O 2012 - Dart - A Modern Web Language

    Google I/O 2012 - Dart - A Modern Web Language Lars Bak, Kasper Lund The two creators of Dart will discuss the rationale behind Dart's design and its impact on web scalability and performance. They'll also present how Dart helps developers innovate by increasing their productivity without breaking backwards compatibility. For all I/O 2012 sessions, go to developers.google.com From: GoogleDevelopers Views: 2066 36 ratings Time: 01:03:40 More in Science & Technology

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  • Google I/O 2012 - Introducing Google Compute Engine

    Google I/O 2012 - Introducing Google Compute Engine Craig McLuckie, Martin Gannholm Google Compute Engine is a new virtual machine based cloud technology for large scale data processing and analytics workloads. It allows the world to leverage the scalability and power of Google's data centers to run computationally intensive jobs. For all I/O 2012 sessions, go to developers.google.com From: GoogleDevelopers Views: 1614 29 ratings Time: 01:00:58 More in Science & Technology

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