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  • Microsoft SQL Server High-Availability Videos and Q&A Log

    - by KKline
    You Want Videos? We Got Videos! I always enjoy getting the chance to catch up with author, consultant, and Microsoft Clustering MVP Allan Hirt . Allan and I recently presented two sessions covering an overview of high availability in Microsoft SQL Server and, the following week, a demo of how to implement several different kinds of high availability techniques including database mirroring, transactional replication, and Windows clustering services. You can see videos of these presentations at the...(read more)

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  • SQL SERVER – SQL Server High Availability Options – Notes from the Field #032

    - by Pinal Dave
    [Notes from Pinal]: When it is about High Availability or Disaster Recovery, I often see people getting confused. There are so many options available that when the user has to select what is the most optimal solution for their organization they are often confused. Most of the people even know the salient features of various options, but when they have to figure out one single option to use they are often not sure which option to use. I like to give ask my dear friend time all these kinds of complicated questions. He has a skill to make a complex subject very simple and easy to understand. Linchpin People are database coaches and wellness experts for a data driven world. In this 26th episode of the Notes from the Fields series database expert Tim Radney (partner at Linchpin People) explains in a very simple words the best High Availability Option for your SQL Server.  Working with SQL Server a common challenge we are faced with is providing the maximum uptime possible.  To meet these demands we have to design a solution to provide High Availability (HA). Microsoft SQL Server depending on your edition provides you with several options.  This could be database mirroring, log shipping, failover clusters, availability groups or replication. Each possible solution comes with pro’s and con’s.  Not anyone one solution fits all scenarios so understanding which solution meets which need is important.  As with anything IT related, you need to fully understand your requirements before trying to solution the problem.  When it comes to building an HA solution, you need to understand the risk your organization needs to mitigate the most. I have found that most are concerned about hardware failure and OS failures. Other common concerns are data corruption or storage issues.  For data corruption or storage issues you can mitigate those concerns by having a second copy of the databases. That can be accomplished with database mirroring, log shipping, replication or availability groups with a secondary replica.  Failover clustering and virtualization with shared storage do not provide redundancy of the data. I recently created a chart outlining some pros and cons of each of the technologies that I posted on my blog. I like to use this chart to help illustrate how each technology provides a certain number of benefits.  Each of these solutions carries with it some level of cost and complexity.  As a database professional we should all be familiar with these technologies so we can make the best possible choice for our organization. If you want me to take a look at your server and its settings, or if your server is facing any issue we can Fix Your SQL Server. Note: Tim has also written an excellent book on SQL Backup and Recovery, a must have for everyone. Reference: Pinal Dave (http://blog.sqlauthority.com)Filed under: Notes from the Field, PostADay, SQL, SQL Authority, SQL Performance, SQL Query, SQL Server, SQL Tips and Tricks, T SQL Tagged: Shrinking Database

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  • Azure, don't give me multiple VMs, give me one elastic VM

    - by FransBouma
    Yesterday, Microsoft revealed new major features for Windows Azure (see ScottGu's post). It all looks shiny and great, but after reading most of the material describing the new features, I still find the overall idea behind all of it flawed: why should I care on how much VMs my web app runs? Isn't that a problem to solve for the Windows Azure engineers / software? And what if I need the file system, why can't I simply get a virtual filesystem ? To illustrate my point, let's use a real example: a product website with a customer system/database and next to it a support site with accompanying database. Both are written in .NET, using ASP.NET and use a SQL Server database each. The product website offers files to download by customers, very simple. You have a couple of options to host these websites: Buy a server, place it in a rack at an ISP and run the sites on that server Use 'shared hosting' with an ISP, which means your sites' appdomains are running on the same machine, as well as the files stored, and the databases are hosted in the same server as the other shared databases. Hire a VM, install your OS of choice at an ISP, and host the sites on that VM, basically the same as the first option, except you don't have a physical server At some cloud-vendor, either host the sites 'shared' or in a VM. See above. With all of those options, scalability is a problem, even the cloud-based ones, though not due to the same reasons: The physical server solution has the obvious problem that if you need more power, you need to buy a bigger server or more servers which requires you to add replication and other overhead Shared hosting solutions are almost always capped on memory usage / traffic and database size: if your sites get too big, you have to move out of the shared hosting environment and start over with one of the other solutions The VM solution, be it a VM at an ISP or 'in the cloud' at e.g. Windows Azure or Amazon, in theory allows scaling out by simply instantiating more VMs, however that too introduces the same overhead problems as with the physical servers: suddenly more than 1 instance runs your sites. If a cloud vendor offers its services in the form of VMs, you won't gain much over having a VM at some ISP: the main problems you have to work around are still there: when you spin up more than one VM, your application must be completely stateless at any moment, including the DB sub system, because what's in memory in instance 1 might not be in memory in instance 2. This might sounds trivial but it's not. A lot of the websites out there started rather small: they were perfectly runnable on a single machine with normal memory and CPU power. After all, you don't need a big machine to run a website with even thousands of users a day. Moving these sites to a multi-VM environment will cause a problem: all the in-memory state they use, all the multi-page transitions they use while keeping state across the transition, they can't do that anymore like they did that on a single machine: state is something of the past, you have to store every byte of state in either a DB or in a viewstate or in a cookie somewhere so with the next request, all state information is available through the request, as nothing is kept in-memory. Our example uses a bunch of files in a file system. Using multiple VMs will require that these files move to a cloud storage system which is mounted in each VM so we don't have to store the files on each VM. This might require different file paths, but this change should be minor. What's perhaps less minor is the maintenance procedure in place on the new type of cloud storage used: instead of ftp-ing into a VM, you might have to update the files using different ways / tools. All in all this makes moving an existing website which was written for an environment that's based around a VM (namely .NET with its CLR) overly cumbersome and problematic: it forces you to refactor your website system to be able to be used 'in the cloud', which is caused by the limited way how e.g. Windows Azure offers its cloud services: in blocks of VMs. Offer a scalable, flexible VM which extends with my needs Instead, cloud vendors should offer simply one VM to me. On that VM I run the websites, store my DB and my files. As it's a virtual machine, how this machine is actually ran on physical hardware (e.g. partitioned), I don't care, as that's the problem for the cloud vendor to solve. If I need more resources, e.g. I have more traffic to my server, way more visitors per day, the VM stretches, like I bought a bigger box. This frees me from the problem which comes with multiple VMs: I don't have any refactoring to do at all: I can simply build my website as if it runs on my local hardware server, upload it to the VM offered by the cloud vendor, install it on the VM and I'm done. "But that might require changes to windows!" Yes, but Microsoft is Windows. Windows Azure is their service, they can make whatever change to what they offer to make it look like it's windows. Yet, they're stuck, like Amazon, in thinking in VMs, which forces developers to 'think ahead' and gamble whether they would need to migrate to a cloud with multiple VMs in the future or not. Which comes down to: gamble whether they should invest time in code / architecture which they might never need. (YAGNI anyone?) So the VM we're talking about, is that a low-level VM which runs a guest OS, or is that VM a different kind of VM? The flexible VM: .NET's CLR ? My example websites are ASP.NET based, which means they run inside a .NET appdomain, on the .NET CLR, which is a VM. The only physical OS resource the sites need is the file system, however this too is accessed through .NET. In short: all the websites see is what .NET allows the websites to see, the world as the websites know it is what .NET shows them and lets them access. How the .NET appdomain is run physically, that's the concern of .NET, not mine. This begs the question why Windows Azure doesn't offer virtual appdomains? Or better: .NET environments which look like one machine but could be physically multiple machines. In such an environment, no change has to be made to the websites to migrate them from a local machine or own server to the cloud to get proper scaling: the .NET VM will simply scale with the need: more memory needed, more CPU power needed, it stretches. What it offers to the application running inside the appdomain is simply increasing, but not fragmented: all resources are available to the application: this means that the problem of how to scale is back to where it should be: with the cloud vendor. "Yeah, great, but what about the databases?" The .NET application communicates with the database server through a .NET ADO.NET provider. Where the database is located is not a problem of the appdomain: the ADO.NET provider has to solve that. I.o.w.: we can host the databases in an environment which offers itself as a single resource and is accessible through one connection string without replication overhead on the outside, and use that environment inside the .NET VM as if it was a single DB. But what about memory replication and other problems? This environment isn't simple, at least not for the cloud vendor. But it is simple for the customer who wants to run his sites in that cloud: no work needed. No refactoring needed of existing code. Upload it, run it. Perhaps I'm dreaming and what I described above isn't possible. Yet, I think if cloud vendors don't move into that direction, what they're offering isn't interesting: it doesn't solve a problem at all, it simply offers a way to instantiate more VMs with the guest OS of choice at the cost of me needing to refactor my website code so it can run in the straight jacket form factor dictated by the cloud vendor. Let's not kid ourselves here: most of us developers will never build a website which needs a truck load of VMs to run it: almost all websites created by developers can run on just a few VMs at most. Yet, the most expensive change is right at the start: moving from one to two VMs. As soon as you have refactored your website code to run across multiple VMs, adding another one is just as easy as clicking a mouse button. But that first step, that's the problem here and as it's right there at the beginning of scaling the website, it's particularly strange that cloud vendors refuse to solve that problem and leave it to the developers to solve that. Which makes migrating 'to the cloud' particularly expensive.

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  • Converting Creole to HTML, PDF, DOCX, ..

    - by Marko Apfel
    Challenge We documented a project on Github with the Wiki there. For most articles we used Creole as markup language. Now we have to deliver a lot of the content to our client in an usual format like PDF or DOCX. So we need a automatism to extract all relevant content, merge it together and convert the stuff to a new format. Problem One of the most popular toolsets to convert between several formats is Pandoc. But unfortunally Pandoc does not support Creole (see the converting matrix). Approach So we need an intermediate step: Converting from Creole to a supported Pandoc format. Creolo/c is a Creole to Html converter and does exactly what we need. After converting our Creole content to Html we could use Pandoc for all the subsequent tasks. Solution Getting the Creole stuff First at all we need the Creole content on our locale machines. This is easy. Because the Github Wiki themselves is a Git repository we could clone it to our machine. In the working copy we see now all the files and the suffix gives us the hint for the markup language. Converting and Merging Creole content to Html Because we would like all content from several Creole files in one HTML file, we have to convert and merge all the input files to one output file. Creole/c has an option (-b) to generate only the Html-stuff below a Html <Body>-tag. And this is hook for us to start. We have to create manually the additional preluding Html-tags (<html>, <head>, ..), then we merge all needed Creole content to our output file and last we add the closing tags. This could be done straightforward with a little bit old DOS magic: REM === Generate the intro tags === ECHO ^<html^> > %TMP%\output.html ECHO ^<head^> >> %TMP%\output.html ECHO ^<meta name="generator" content="creole/c"^> >> %TMP%\output.html ECHO ^</head^> >> %TMP%\output.html ECHO ^<body^> >> %TMP%\output.html REM === Mix in all interesting Creole stuff with creole/c === .\Creole-C\bin\creole.exe -b .\..\datamodel+overview.creole >> %TMP%\output.html .\Creole-C\bin\creole.exe -b .\..\datamodel+domain+CvdCaptureMode.creole >> %TMP%\output.html .\Creole-C\bin\creole.exe -b .\..\datamodel+domain+CvdDamageReducingActivity.creole >> %TMP%\output.html .\Creole-C\bin\creole.exe -b .\..\datamodel+lookup+IncidentDamageCodes.creole >> %TMP%\output.html .\Creole-C\bin\creole.exe -b .\..\datamodel+table+Attachments.creole >> %TMP%\output.html .\Creole-C\bin\creole.exe -b .\..\datamodel+table+TrafficLights.creole >> %TMP%\output.html REM === Generate the outro tags === ECHO ^</body^> >> %TMP%\output.html ECHO ^</html^> >> %TMP%\output.html REM === Convert the Html file to Docx with Pandoc === .\Pandoc\bin\pandoc.exe -o .\Database-Schema.docx %TMP%\output.html Some explanation for this The first ECHO call creates the file. Therefore the beginning <html> tag is send via > to a temporary working file. All following calls add content to the existing file via >>. The tag-characters < and > must be escaped. This is done by the caret sign (^). We use a file in the default temporary folder (%TMP%) to avoid writing in our current folders. (better for continuous integration) Both toolsets (Creole/c and Pandoc) are copied to a versioned tools folder in the Wiki. This is committable and no problem after pushing – Github does not do anything with it. In this folder is also the batch (Export-Docx.bat) for all the steps. Pandoc recognizes the conversion by the suffixes of the file names. So it is enough to specify only the input and output files.

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  • Idea to develop a caching server between IIS and SQL Server

    - by John
    I work on a few high traffic websites that all share the same database and that are all heavily database driven. Our SQL server is max-ed out and, although we have already implemented many changes that have helped but the server is still working too hard. We employ some caching in our website but the type of queries we use negate using SQL dependency caching. We tried SQL replication to try and kind of load balance but that didn't prove very successful because the replication process is quite demanding on the servers too and it needed to be done frequently as it is important that data is up to date. We do use a Varnish web caching server (Linux based) to take a bit of the load off both the web and database server but as a lot of the sites are customised based on the user we can only do so much. Anyway, the reason for this question... Varnish gave me an idea for a possible application that might help in this situation. Just like Varnish sits between a web browser and the web server and caches response from the web server, I was wondering about the possibility of creating something that sits between the web server and the database server. Imagine that all SQL queries go through this SQL caching server. If it's a first time query then it will get recorded, and the result requested from the SQL server and stored locally on the cache server. If it's a repeat request within a set time then the result gets retrieved from the local copy without the query being sent to the SQL server. The caching server could also take advantage of SQL dependency caching notifications. This seems like a good idea in theory. There's still the same amount of data moving back and forward from the web server, but the SQL server is relieved of the work of processing the repeat queries. I wonder about how difficult it would be to build a service that sort of emulates requests and responses from SQL server, whether SQL server's own caching is doing enough of this already that this wouldn't be a benefit, or even if someone has done this before and I haven't found it? I would welcome any feedback or any references to any relevant projects.

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  • SBUG Session: The Enterprise Cache

    - by EltonStoneman
    [Source: http://geekswithblogs.net/EltonStoneman] I did a session on "The Enterprise Cache" at the UK SOA/BPM User Group yesterday which generated some useful discussion. The proposal was for a dedicated caching layer which all app servers and service providers can hook into, sharing resources and common data. The architecture might end up like this: I'll update this post with a link to the slide deck once it's available. The next session will have Udi Dahan walking through nServiceBus, register on EventBrite if you want to come along. Synopsis Looked at the benefits and drawbacks of app-centric isolated caches, compared to an enterprise-wide shared cache running on dedicated nodes; Suggested issues and risks around caching including staleness of data, resource usage, performance and testing; Walked through a generic service cache implemented as a WCF behaviour – suitable for IIS- or BizTalk-hosted services - which I'll be releasing on CodePlex shortly; Listed common options for cache providers and their offerings. Discussion Cache usage. Different value propositions for utilising the cache: improved performance, isolation from underlying systems (e.g. service output caching can have a TTL large enough to cover downtime), reduced resource impact – CPU, memory, SQL and cost (e.g. caching results of paid-for services). Dedicated cache nodes. Preferred over in-host caching provided latency is acceptable. Depending on cache provider, can offer easy scalability and global replication so cache clients always use local nodes. Restriction of AppFabric Caching to Windows Server 2008 not viewed as a concern. Security. Limited security model in most cache providers. Options for securing cache content suggested as custom implementations. Obfuscating keys and serialized values may mean additional security is not needed. Depending on security requirements and architecture, can ensure cache servers only accessible to cache clients via IPsec. Staleness. Generally thought to be an overrated problem. Thinking in line with eventual consistency, that serving up stale data may not be a significant issue. Good technical arguments support this, although I suspect business users will be harder to persuade. Providers. Positive feedback for AppFabric Caching – speed, configurability and richness of the distributed model making it a good enterprise choice. .NET port of memcached well thought of for performance but lack of replication makes it less suitable for these shared scenarios. Replicated fork – repcached – untried and less active than memcached. NCache also well thought of, but Express version too limited for enterprise scenarios, and commercial versions look costly compared to AppFabric.

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  • Optimized Integration between Oracle Data Integrator and Oracle GoldenGate

    - by Alex Kotopoulis
    The Journalizing Knowledge Module for Oracle GoldenGate's CDC mechanism has just been released as part of the ODI 10.1.3.6_02 patch, and a very useful post from Mark Rittman gives detailed instructions about how to set it up in a sample environment. This integration combines the best of two worlds, the non-invasive, highly performant data replication from Oracle GoldenGate with the innovative and scalable EL-T concept from ODI to perform complex loads into real-time data warehouses. Please also check out the new datasheet about this integration.

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  • Best Books of C

    - by Patrick
    Hi, I realy want to get high skills in C programming and I know that the best and only way is hard work and lots of practice. though I found so many tutorials and books available on the net about learning the C language. I'm just looking for one or two good books in C that I can learn from and get high skills in C. Anyone knows such a great book/books for C programming pls? (sorry for replication if the question exists already in the forum) Regards!

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  • Scaling Out the Distribution Database

    Replication is a great technology for moving data from one server to another, and it has a great many configuration options. David Poole brings us a technique for scaling out with multiple distribution databases.

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  • Guide to MySQL & NoSQL, Webinar Q&A

    - by Mat Keep
    0 0 1 959 5469 Homework 45 12 6416 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;} Yesterday we ran a webinar discussing the demands of next generation web services and how blending the best of relational and NoSQL technologies enables developers and architects to deliver the agility, performance and availability needed to be successful. Attendees posted a number of great questions to the MySQL developers, serving to provide additional insights into areas like auto-sharding and cross-shard JOINs, replication, performance, client libraries, etc. So I thought it would be useful to post those below, for the benefit of those unable to attend the webinar. Before getting to the Q&A, there are a couple of other resources that maybe useful to those looking at NoSQL capabilities within MySQL: - On-Demand webinar (coming soon!) - Slides used during the webinar - Guide to MySQL and NoSQL whitepaper  - MySQL Cluster demo, including NoSQL interfaces, auto-sharing, high availability, etc.  So here is the Q&A from the event  Q. Where does MySQL Cluster fit in to the CAP theorem? A. MySQL Cluster is flexible. A single Cluster will prefer consistency over availability in the presence of network partitions. A pair of Clusters can be configured to prefer availability over consistency. A full explanation can be found on the MySQL Cluster & CAP Theorem blog post.  Q. Can you configure the number of replicas? (the slide used a replication factor of 1) Yes. A cluster is configured by an .ini file. The option NoOfReplicas sets the number of originals and replicas: 1 = no data redundancy, 2 = one copy etc. Usually there's no benefit in setting it >2. Q. Interestingly most (if not all) of the NoSQL databases recommend having 3 copies of data (the replication factor).    Yes, with configurable quorum based Reads and writes. MySQL Cluster does not need a quorum of replicas online to provide service. Systems that require a quorum need > 2 replicas to be able to tolerate a single failure. Additionally, many NoSQL systems take liberal inspiration from the original GFS paper which described a 3 replica configuration. MySQL Cluster avoids the need for a quorum by using a lightweight arbitrator. You can configure more than 2 replicas, but this is a tradeoff between incrementally improved availability, and linearly increased cost. Q. Can you have cross node group JOINS? Wouldn't that run into the risk of flooding the network? MySQL Cluster 7.2 supports cross nodegroup joins. A full cross-join can require a large amount of data transfer, which may bottleneck on network bandwidth. However, for more selective joins, typically seen with OLTP and light analytic applications, cross node-group joins give a great performance boost and network bandwidth saving over having the MySQL Server perform the join. Q. Are the details of the benchmark available anywhere? According to my calculations it results in approx. 350k ops/sec per processor which is the largest number I've seen lately The details are linked from Mikael Ronstrom's blog The benchmark uses a benchmarking tool we call flexAsynch which runs parallel asynchronous transactions. It involved 100 byte reads, of 25 columns each. Regarding the per-processor ops/s, MySQL Cluster is particularly efficient in terms of throughput/node. It uses lock-free minimal copy message passing internally, and maximizes ID cache reuse. Note also that these are in-memory tables, there is no need to read anything from disk. Q. Is access control (like table) planned to be supported for NoSQL access mode? Currently we have not seen much need for full SQL-like access control (which has always been overkill for web apps and telco apps). So we have no plans, though especially with memcached it is certainly possible to turn-on connection-level access control. But specifically table level controls are not planned. Q. How is the performance of memcached APi with MySQL against memcached+MySQL or any other Object Cache like Ecache with MySQL DB? With the memcache API we generally see a memcached response in less than 1 ms. and a small cluster with one memcached server can handle tens of thousands of operations per second. Q. Can .NET can access MemcachedAPI? Yes, just use a .Net memcache client such as the enyim or BeIT memcache libraries. Q. Is the row level locking applicable when you update a column through memcached API? An update that comes through memcached uses a row lock and then releases it immediately. Memcached operations like "INCREMENT" are actually pushed down to the data nodes. In most cases the locks are not even held long enough for a network round trip. Q. Has anyone published an example using something like PHP? I am assuming that you just use the PHP memcached extension to hook into the memcached API. Is that correct? Not that I'm aware of but absolutely you can use it with php or any of the other drivers Q. For beginner we need more examples. Take a look here for a fully worked example Q. Can I access MySQL using Cobol (Open Cobol) or C and if so where can I find the coding libraries etc? A. There is a cobol implementation that works well with MySQL, but I do not think it is Open Cobol. Also there is a MySQL C client library that is a standard part of every mysql distribution Q. Is there a place to go to find help when testing and/implementing the NoSQL access? If using Cluster then you can use the [email protected] alias or post on the MySQL Cluster forum Q. Are there any white papers on this?  Yes - there is more detail in the MySQL Guide to NoSQL whitepaper If you have further questions, please don’t hesitate to use the comments below!

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  • Oracle Announces Oracle Data Integrator 12c and Oracle GoldenGate 12c

    - by Roxana Babiciu
    In today’s data-driven business environment, organizations need to cost-effectively manage the ever-growing streams of information originating both inside and outside the firewall and address emerging deployment styles like cloud, big data analytics, and real-time replication. To help customers succeed, Oracle is enhancing its data integration offering with Oracle Data Integrator 12c and Oracle GoldenGate 12c. These flexible and comprehensive solutions help customers capitalize on their data to reduce costs and drive business growth. Read more here

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  • Is the SAN dying???

    - by RickHeiges
    Is the SAN dying? The reason that I ask this question is that MSFT has unleashed technologies this year that point in that direction Always ON Availability Groups shuns shared storage Windows 2012 has Storage Replication Technology that does not require a SAN Windows 2012 has Hyper-V Replica Technology that does not require a SAN PDW v2 continues to reinforce the approach to avoid shared storage I'm not saying that SAN technology does not have its place or does not have benefits inherent to the beast....(read more)

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  • The Wonders of Maatkit for MySQL

    MySQL is a great database for web-facing applications, however, it tends to be a bit rough around the edges. Enter Maatkit, a great toolkit with a bewildering array of command line tools that fill the gap where MySQL's native tools leave off. From data replication to query profiling and optimizing, Maatkit has tools to make you smarter, and help you get your job done.

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  • The Wonders of Maatkit for MySQL

    MySQL is a great database for web-facing applications, however, it tends to be a bit rough around the edges. Enter Maatkit, a great toolkit with a bewildering array of command line tools that fill the gap where MySQL's native tools leave off. From data replication to query profiling and optimizing, Maatkit has tools to make you smarter, and help you get your job done.

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  • Architecture diagram of a computer virus

    - by Shiraz Bhaiji
    I am looking for an architecture diagram of a computer virus. Does anyone have a link to a good example? Edit Looks like I am getting hammered with downvotes. I agree that there is no single architecture for a virus. But somethings must be included for a program to be a virus. Example for components in the SAD: Replication method Trigger Payload Hosts targeted Vulnerabilities targeted Anti detection method

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  • Using DesktopCouch without Ubuntu One?

    - by burli
    I want to know if it is possible to use DesktopCouch without UbuntuOne, but with a local CouchDB Server. I found a pairing Tool, but this crashes, when I try to pair two computer. I can find the local Desktop Couches with the Avahi Zeroconf Browser and it should be possible to find them with Python and start a replication To make a long story short: I want to sync DesktopCouch Databases in my local network without Ubuntu One. Is that possible?

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  • The Wonders of Maatkit for MySQL

    <b>Database Journal:</b> "MySQL is a great database for web-facing applications, however, it tends to be a bit rough around the edges. Enter Maatkit, a great toolkit with a bewildering array of command line tools that fill the gap where MySQL's native tools leave off. From data replication to query profiling and optimizing, Maatkit has tools to make you smarter, and help you get your job done."

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  • Looking for a code Plugin !!

    - by GrumpyOldDBA
    SET ANSI_NULLS ON SET QUOTED_IDENTIFIER ON GO IF NOT EXISTS( SELECT 1 FROM INFORMATION_SCHEMA . TABLES WHERE TABLE_SCHEMA = 'dbo' AND TABLE_NAME = 'MSPaymentForExtraction' ) BEGIN CREATE TABLE [dbo] . [MSPaymentForExtraction] ( [MSPaymentID] [int] NOT NULL IDENTITY ( 1 , 1 ) NOT FOR REPLICATION ) ON [PRIMARY] END GO...(read more)

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  • Where do I put my start up script for mysql?

    - by Neo
    I have created a second instance of MySQL on the server for replication, if I start the process manually it works but need it to start at bootup. I used to just do a bash script in the init.d folder but apparently that no longer works on 11.10 Can anyone point me in the right direction? I even copied the mysql service, changed it and tried that but it refused to work. P.S It is the server edition so only Shell access.

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  • SQL Server Hardware Configuration Best Practices

    You have been asked to deploy a brand new SQL Server instance. Your management asks you to come up with the best balance of availability, performance and cost for SQL Server. Richard Vantrease has some recommendations. Get to grips with SQL Server replicationIn this new eBook Sebastian Meine gives a hands-on introduction to SQL Server replication, including implementation and security. Download free ebook now.

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  • Extract and convert all Excel worksheets into CSV files using PowerShell

    Can PowerShell provide an easy way to export Excel as a CSV? Yes. Tim Smith demonstrates that whether you have multiple Excel files, or just multiple worksheets in Excel, PowerShell simplifies the process. Get to grips with SQL Server replicationIn this new eBook Sebastian Meine gives a hands-on introduction to SQL Server replication, including implementation and security. Download free ebook now.

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  • Oracle 12c: First (and best!) on Solaris

    - by mgerdts
    Oracle 12c is now available for download.  Notice that support for Solaris SPARC and x86-64 are among the operating systems supported on the first day of availability. New database features that relate to Solaris include: I/O outlier support.  This is made possible through the database's use of DTrace, and as such Solaris has a clear edge here. Oracle ACFS Replication and Tagging for Solaris Integration with Solaris resource pools As has been the case for some time, Oracle databases are supported in zones.

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