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How to disable or tune filesystem cache sharing for OpenVZ?

- by gertvdijk

For OpenVZ, an example of container-based virtualization, it seems that host and all guests are sharing the filesystem cache. This sounds paradoxical when talking about virtualization, but this is actually a feature of OpenVZ. It makes sense too. Because only one kernel is running, it's possible to benefit from sharing the same pages of filesystem cache in memory. And while it sounds beneficial, I think a set up here actually suffers in performance from it. Here's why I think why: my machines aren't actually sharing any files on disk so I can't benefit from this feature in OpenVZ. Several OpenVZ machines are running MySQL with MyISAM tables. MyISAM relies on the system's filesystem cache for caching of data files, unlike InnoDB's buffer pool. Also some virtual machines are known to do heavy and large I/O operations on the same filesystem in the host. For example, when running cat *.MYD > /dev/null on some large database in one machine, I saw the filesystem cache lowering in another, monitored by htop. This essentially flushes all the useful filesystem cache in guests (FIFO) and so it flushes the MySQL caches in the guests. Now users are complaining that MySQL is very slow. And it is. Some simple SELECT queries take several seconds on times disk I/O is heavily used by other machines. So, simply put: Is there a way to avoid filesystem cache being wiped out by other virtual machines in container-based virtualization? Some thoughts: Choosing algorithm for flushing filesystem cache in the kernel. (possible? how?) Reserving a certain amount of pages for a single VM. (seems no option for filesystem cache type of pages that reading man vzctl) Will running MySQL on another filesystem get me anywhere? If not, I think my alternatives are: Use KVM for MySQL-MyISAM running VMs. KVM actually assigns memory to the VM and does not allow swapping out caches unless using a balloon driver. Move to InnoDB and tune the buffer pools, dirty pages, etc. This is now considered to be 'nice to have' on the long-term as not everyone responsible for administration of the system understands InnoDB. more suggestions welcome. System software: Proxmox (now 1.9, could be upgraded to 2.x). One big LV assigned for the VMs.

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SQL Transactional Replication snapshot not applying

- by dmch2

Hi, I'm using SQL Transactional Replication with pull subscriptions to replicate databases (hosting their own distribution database) from several servers across a VPN to a central server. I've got the first 2 databases working fine but the 3rd one is causing me problems. My subscription server is SQL 2008, the source systems are all SQL 2005. The source databases are a few 100Mb in size and contain audit data so are simply growing slowly by adding new records at approx 1kb a second. As far as the replication monitor, Agent logs and event logs show everything is working fine - except that no data appears in my subscription database. The distribution agent doesn't seem to want to read the snapshot (and hence the initial state and schema) from the publisher. New transactions aren't applied although they do seem to be arriving OK as the replication monitor shows things like '5 transactions with 10 commands were delivered'. I would expect (as in previous times) to see statements about data being BCPed in the replication monitor. The snapshot is on the publisher on a shared folder. The subscriber can view the snapshot OK (\\repldata) and the alt snapshot folder is pointing at it. But the distribution agent doesn't seem to be making an attempt to do read it. I tried changing the snapshot path to something that's incorrect and didn't even get an error saying that it couldn't access it. After lots of googling etc I found that sp_MSget_repl_commands is called by the subscriber on the distribution database on the publisher. Running a profiler I can see that it's only called for one agent Id. After a reinit it's called for sequence number 0x0 as expected so I thought that would mean it's would look for the snapshot. However, looking on the publisher I see that there's data for two agents - the snapshot agent and the log reader agent (which is being queries). So I guess I need to tell the distribution agent to get the data for both. But how? and more importantly - why? It worked fine on the other two servers I've replicated. I'm not an SQL novice but this is pretty much my first go at replication so don't be afraid to accuse me of missing something obvious/stupid! I can get log files (eg from the distribution agent) if you want but they don't seem to have any errors in them - it just starts up and starts applying log reader agent changes. Cheers Dave

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Why is BIND giving me a SERVFAIL in this case? (Notes inside)

- by imaginative

Woke up this morning to a bunch of the following: root@foo:/etc/bind# dig @1.2.3.4 foo.example.com ; <<>> DiG 9.6.1-P2 <<>> @1.2.3.4 foo.example.com ; (1 server found) ;; global options: +cmd ;; Got answer: ;; ->>HEADER<<- opcode: QUERY, status: SERVFAIL, id: 36121 ;; flags: qr rd ra; QUERY: 1, ANSWER: 0, AUTHORITY: 0, ADDITIONAL: 0 ;; QUESTION SECTION: ;;foo.example.com. IN A ;; Query time: 0 msec ;; SERVER: 1.2.3.4#53(1.2.3.4) ;; WHEN: Thu Apr 1 09:57:59 2010 ;; MSG SIZE rcvd: 31 Some background on the fictitious "1.2.3.4". It's a slave name server in my nameserver "farm". Technically I have ns1 (being the master) and ns2/ns3. Currently ns1/ns2 are down for maintenance, so I left ns3 at it serving live traffic. That's the point, DNS is supposed to be resilient. Now the odd part is, "1.2.3.4" was serving requests for example.com just fine for the last 4-5 days. This morning I get a phone call that it's non-responsive. After investigation I see the message you see above, SERVFAIL. I looked into the zone file and saw the following: example.com IN SOA ns1.example.com. hostmaster.mail.example.com. ( I wondered if at this point that the nameserver thought it was not authoritative over example.com and adjusted it to the following: example.com IN SOA ns3.example.com. hostmaster.mail.example.com. ( After that, it started responding again for all authoritative queries for example.com. I have no idea why. I thought these things were supposed to be normalized upon zone transfer from ns1 - ns3? Can someone please example why this happened and how to prevent it from happening in the future? I've never had a similar problem, and because I don't understand it well, I might be missing some critical information in this question. So please let me know if I can further add any detail to make things clearer as well. One more thing to note: I have other domains that I'm authoritative for that have their SOA still saying ns1.example.com. and not ns3.example.com. Those domains are serving requests just fine! Is it a matter of time before they stop also and I have to change SOA to ns3.example.com? Is this also only required because ns1 and ns2 are currently offline?

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MongoDB and datasets that don't fit in RAM no matter how hard you shove

- by sysadmin1138

This is very system dependent, but chances are near certain we'll scale past some arbitrary cliff and get into Real Trouble. I'm curious what kind of rules-of-thumb exist for a good RAM to Disk-space ratio. We're planning our next round of systems, and need to make some choices regarding RAM, SSDs, and how much of each the new nodes will get. But now for some performance details! During normal workflow of a single project-run, MongoDB is hit with a very high percentage of writes (70-80%). Once the second stage of the processing pipeline hits, it's extremely high read as it needs to deduplicate records identified in the first half of processing. This is the workflow for which "keep your working set in RAM" is made for, and we're designing around that assumption. The entire dataset is continually hit with random queries from end-user derived sources; though the frequency is irregular, the size is usually pretty small (groups of 10 documents). Since this is user-facing, the replies need to be under the "bored-now" threshold of 3 seconds. This access pattern is much less likely to be in cache, so will be very likely to incur disk hits. A secondary processing workflow is high read of previous processing runs that may be days, weeks, or even months old, and is run infrequently but still needs to be zippy. Up to 100% of the documents in the previous processing run will be accessed. No amount of cache-warming can help with this, I suspect. Finished document sizes vary widely, but the median size is about 8K. The high-read portion of the normal project processing strongly suggests the use of Replicas to help distribute the Read traffic. I have read elsewhere that a 1:10 RAM-GB to HD-GB is a good rule-of-thumb for slow disks, As we are seriously considering using much faster SSDs, I'd like to know if there is a similar rule of thumb for fast disks. I know we're using Mongo in a way where cache-everything really isn't going to fly, which is why I'm looking at ways to engineer a system that can survive such usage. The entire dataset will likely be most of a TB within half a year and keep growing.

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SQLS Timeouts - High Reads in Profiler

- by lb01

I've audited a SQLS2008 server with Profiler for one day.. the overhead didn't seem to trouble this new client my company has. They are using a legacy VB6 application as a front-end. They're experiencing timeouts once SQLS RAM usage is high. The server is currently running x64 sqls2008 on a VM with nearly 9 GB of RAM. SQL Server's 'max server memory option' is currently set to 6GB. I've put the results of the trace in a table and queried them using this query. SELECT TextData, ApplicationName, Reads FROM [TraceWednesday] WHERE textdata is not null and EventClass = 12 GROUP BY TextData, ApplicationName, Reads ORDER BY Reads DESC As I expected, some values are very high. Top Reads, in pages. 2504188 1965910 1445636 1252433 1239108 1210153 1088580 1072725 Am I correct in thinking that the top one (2504188 pages) is 20033504 KB, which then is roughly ~20'000 MB, 20GB? These queries are often executed and can take quite some time to run. Eventually RAM is used up because of the cache fattening, and timeouts occur once SQL cannot 'splash' pages in the buffer pool as much. Costs go up. Am I correct in my understanding? I've read that I should tune the associated T-SQL and create appropriate indices. Obviously cutting down the I/O would make SQL Server use less RAM. OR, maybe it might just slow down the process of chewing up the whole RAM. If a lot less pages are read, maybe it'll all run much better even when usage is high? (less time swapping, etc.) Currently, our only option is to restart SQL once a week when RAM usage is high, suddenly the timeouts disappear. SQL breathes again. I'm sure lots of DBAs have been in this situation.. I'm asking before I start digging out all of the bad T-SQL and put indices here and there, is there is something else I can do? Any advice except from what I know (not much yet..) Much appreciated. Leo.

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SQLS Timeouts - High Reads in Profiler

- by lb01

Hi I've audited a SQLS2008 server with Profiler for one day.. the overhead didn't seem to trouble this new client my company has. They are using a legacy VB6 application as a front-end. They're experiencing timeouts once SQLS RAM usage is high. The server is currently running x64 sqls2008 on a VM with nearly 9 GB of RAM. SQL Server's 'max server memory option' is currently set to 6GB. I've put the results of the trace in a table and queried them using this query. SELECT TextData, ApplicationName, Reads FROM [TraceWednesday] WHERE textdata is not null and EventClass = 12 GROUP BY TextData, ApplicationName, Reads ORDER BY Reads DESC As I expected, some values are very high. Top Reads, in pages. 2504188 1965910 1445636 1252433 1239108 1210153 1088580 1072725 Am I correct in thinking that the top one (2504188 pages) is 20033504 KB, which then is roughly ~20'000 MB, 20GB? These queries are often executed and can take quite some time to run. Eventually RAM is used up because of the cache fattening, and timeouts occur once SQL cannot 'splash' pages in the buffer pool as much. Costs go up. Am I correct in my understanding? I've read that I should tune the associated T-SQL and create appropriate indices. Obviously cutting down the I/O would make SQL Server use less RAM. OR, maybe it might just slow down the process of chewing up the whole RAM. If a lot less pages are read, maybe it'll all run much better even when usage is high? (less time swapping, etc.) Currently, our only option is to restart SQL once a week when RAM usage is high, suddenly the timeouts disappear. SQL breathes again. I'm sure lots of DBAs have been in this situation.. I'm asking before I start digging out all of the bad T-SQL and put indices here and there, is there is something else I can do? Any advice except from what I know (not much yet..) Much appreciated. Leo.

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Developer Dashboard in SharePoint 2010

- by jcortez

Introducing the Developer Dashboard As a SharePoint developer (or IT Professional), how many times have you had the pleasure of figuring out why a particular page on your site is taking too long to render? I'm sure one of the techniques you have employed in troubleshooting is the process of elimination - removing individual web parts from the page hoping to identify which web part is misbehaving. One of the new features of SharePoint 2010 is the Developer Dashboard. This dashboard provides tracing and performance information that can be useful when you are trying to troubleshoot pages that are loading too slow. The Developer Dashboard is turned off by default and I'll go over 3 different ways to display it. Here is a screenshot of what the Developer Dashboard looks like when displayed at the bottom of the page: You can see on the left side the different events that fired during the page processing pipeline and how long these events took. This is where you will see individual web parts being processed and how long it took to complete (obviously the kind of processing depends on what the web part does). On the right side you would see the different database calls issued through the SharePoint Object Model to process the page. You will notice that each of these database queries are actually a hyperlink and clicking on it displays a pop-up window that shows the actual SQL Query Text, the Call Stack that triggered the database call, and the IO statistics of that query. Enabling the Developer Dashboard Option 1: Managed Code The Developer Dashboard is a farm-wide setting and the code above won't work if it is used within a web part hosted on any non-Central Admin site. The SPDeveloperDashboardLevel enum has three possible values: On, Off, and OnDemand. Setting it to On will always display the Developer Dashboard at the bottom of the page. Setting it Off will hide the Developer Dashboard. Setting it to OnDemand will add an icon at the top right corner of the page (see screenshot below) where a Site Collection Admin can toggle the display of the Developer Dashboard for a particular site collection. In my opinion, OnDemand is the best setting when troubleshooting a page or during development since a Site Collection Admin can turn it on or off and for a particular site only. The first cool thing about this is that the Site Collection Admin that turned it on will be the only one to see the Developer Dashboard output. Everyday users won't see the Developer Dashboard output even if it was turned on by a Site Collection Admin. If you need more flexibility on who gets to see the Developer Dashboard output, you can set the SPDeveloperDashboardSettings.RequiredPermissions to control which group of users will have the permission to see the output. Option 2: Using stsadm Using stsadm, you can run the following command to configure the Developer Dashboard: STSADM –o setproperty –pn developer-dashboard –pv OnDemand To successfully execute this command, be sure you that are running as a Farm Admin. Option 3: Using PowerShell For all scripts in SharePoint 2010, I prefer writing them as PowerShell scripts. Though the stsadm command is less verbose, the PowerShell equivalent is pretty straightforward and uses the SharePoint Object Model: You can of course parameterized the value that gets assigned to the DisplayLevel property so you can turn it On, Off or OnDemand depending on the parameter. Events and the Developer Dashboard Now, don't assume that all the code inside your web part or page will show up in the Developer Dashboard complete with all the great troubleshooting information. Only a finite set of events are monitored by default (for a web part it will events in the base web part class). Let's say you have a click event that could take some time, for example a web service call. And you want to include troubleshooting information for this event in the Developer Dashboard. Enter SPMonitoredScope which is also a new feature in SharePoint 2010. In SharePoint 2010, everything is executed within a "Monitored Scope". And each scope has a set of "Monitors" that measures and counts calls and timings which appears in the Developer Dashboard. Below is an example on how to get your custom code to get included in the Developer Dashboard by wrapping it inside a new monitored scope: The code above would include your new scope "My long web service call" into the Developer Dashboard and would log the time it took to complete processing. In my opinion, wrapping your custom code in a SPMonitoredScope is a SharePoint development best practice since it provides you visibility and a better understanding on the performance of your components.

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Connecting to DB2 from SSIS

- by Christopher House

The project I'm currently working on involves moving various pieces of data from a legacy DB2 environment to some SQL Server and flat file locations. Most of the data flows are real time, so they were a natural fit for the client's MQSeries on their iSeries servers and BizTalk to handle the messaging. Some of the data flows, however, are daily batch type transmissions. For the daily batch transmissions, it was decided that we'd use SSIS to pull the data direct from DB2 to either a SQL Server or flat file. I'm not at all an SSIS guy, I've done a bit here and there, but mainly for situations were we needed to move data from a dev environment to QA, mostly informal stuff like that. And, as much as I'm not an SSIS guy, I'm even less a DB2/iSeries guy. Prior to this engagement, my knowledge of DB2 was limited to the fact that it's an IBM product and that it was probably a DBMS flatform (that's what the DB in DB2 means, right?). One of my first goals when I came onto this project was to develop of POC SSIS package to pull some data from DB2 and dump it to a flat file. It sounded like a pretty straight forward task. As always, the devil is in the details. Configuring the DB2 connection manager took a bit of trial and error. As such, I thought I'd post my experiences here in hopes that they might save someone the efforts I went through. That being said, please keep in mind, as I pointed out, I'm not at all a DB2 guy, so my terminology and explanations may not be 100% spot on. Before you get started, you need to figure out how you're going to connect to DB2. From the research I did, it looks like there are a few options. IBM has both an OLE DB and .Net data provider which can be found here. I installed their client access tools and tried to use both the .Net and OLE DB providers but I received an error message from both when attempting to connect to the iSeries that indicated I needed a license for a product called DB2 Connect. I inquired with one of my client's iSeries resources about a license for this product and it appears they didn't have one, so that meant the IBM drivers were out. The other option that I found quite a bit of discussion around was Microsoft's OLE DB Provider for DB2. This driver is part of the feature pack for SQL Server 2008 Enterprise Edition and can be downloaded here. As it turns out, I already had Microsoft's driver installed on my dev VM, which stuck me as odd since I hadn't installed it. I discovered that the driver is installed with the BizTalk adapter pack for host systems, which was also installed on my VM. However, it looks like the version used by the adapter pack is newer than the version provided in the SQL Server feature pack. Once you get the driver installed, create a connection manager in your package just like you normally would and select the Microsoft OLE DB Provider for DB2 from the list of available drivers. After you select the driver, you'll need to enter in your host name, login credentials and initial catalog. A couple of things to note here. First, the Initial catalog needs to be the same as your host name. Not sure why that is, but trust me, it just does. Second, for credentials, in my environment, we're using what the client's iSeries people refer to as "profiles". I guess this is similar to SQL auth in the SQL Server world. In other words, they've given me a username and password for connecting to DB, so I've entered it here. Next, click the Data Links button. On the Data Links screen, enter your package collection on the first tab. Package collection is one of those DB2 concepts I'm still trying to figure out. From the little bit I've read, packages are used to control SQL compilation and each DB2 connection needs one. The package collection, I believe, controls where your package is created. One of the iSeries folks I've been working with told me that I should always use QGPL for my package collection, as QGPL is "general purpose" and doesn't require any additional authority. Next click the ellipsis next to the Network drop-down. Here you'll want to enter your host name again. Again, not sure why you need to do this, but trust me, my connection wouldn't work until I entered my hostname here. Finally, go to the Advanced tab, select your DBMS platform and check Process binary as character. My environment is DB2 on the iSeries and iSeries is the replacement for AS/400, so I selected DB2/AS400 for my platform. Process binary as character was necessary to handle some of the DB2 data types. I had a few columns that showed all their data as "System.Byte[]". Checking Process binary as character resolved this. At this point, you should be good to go. You can go back to the Connection tab on the Data Links dialog to perform a couple of tests to validate your configuration. The Test Connection button is obvious, this just verifies you can connect to the host using the configuration data you've entered. The Packages button will attempt to connect to the host and create the packages required to execute queries. This isn't meant to be a comprehensive look SSIS and DB2, these are just some of the notes I've come up with since I've started working with DB2 and SSIS. I'm sure as I continue developing my packages, I'll find more quirks and will post them here.

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Oracle Open World 2012: SQL Developer Recap

- by thatjeffsmith

Last week was the ‘big show’ in San Francisco. I was very happy to meet many of you in person. And many of you had questions – lots of questions! We had full or overflowing rooms for our sessions and hands-on-labs. The SQL Developer ‘booths’ were also slammed several times. So exciting to see so many of YOU excited about SQL Developer. It’s very cool to hear the stories of our tools saving you and your organizations so much time (and money!) Instead of doing a Day 0 – Day 9 recap, I thought I’d share with you the questions that I heard more than once. And just for giggles, I’ll throw in some answers as well So in no particular order… What’s the difference between Oracle SQL Developer & Oracle SQL Developer Data Modeler? Mathematically speaking – two words. But as far as the actual modeling features go, there’s no difference between the two applications. The same ‘code’ or features as it pertains to data modeling and design are in both tools. However, in SQL Developer you have all of the OTHER features fighting for real estate in the UI. So I have a general rule of thumb – if you spend MOST of your time in the database, use SQL Developer. And if you spend most of your time in the data model, run the separate and dedicated program, Oracle SQL Developer Data Modeler. Here’s a couple of screenshots to drive home the UI point: Oracle SQL Developer Oracle SQL Developer Data Modeler running INSIDE of SQL Developer. Notice how the Modeler menu items fold under the file menu? Oracle SQL Developer Data Modeler Easier to navigate and manipulate your models with the stand alone modeler. Just no worksheet to run your ad-hoc queries, etc. Don’t forget you can disable the Data Modeler inside of SQL Developer via the Extensions preference page. How can I model my table partitions? Partitioning is defined via the Physical model. So after you have finished your relational model, you need to generate a physical model. Oracle SQL Developer Data Modeler Physical Model and Partitioning Open the properties for your physical model table. Enable the ‘partitioned’ property. Once you do so, the ‘Partitioning’ page will activate. Lots and lots of partitioning support and options here But what about Interval Partitioning? An extension of range partitioning in 11gR2, we don’t currently support this partitioning scheme in SQL Developer. But we’re working on it! Can SQL Developer ignore column order when comparing models? Yes! After you start a model compare, one of your options is to disregard the order of an attribute or column definition. Tell SQL Developer you don’t care when your column shows up, just as long as it DOES show up. Wow, you got a lot of questions around modeling! Is that normal? Yes! While we appreciate that many folks inherit their applications and associated designs, new applications are being ‘born’ every day. Since both of our tools are free for anyone to design their new Oracle applications with, we attract a fair amount of attention I want to do a Hands On Lab. How do I get your software and instructional guides? Go here. Download VirtualBox. Then download the VB image. Import the appliance. Start it. Connect oracle/oracle on the OEL VM. Click on ‘Start Here’ in the desktop. Follow the instructions. If you need help, ask away! You went too fast in your Tips & Tricks session. Do you have cliff notes? Yes! And you’re SO close to finding them! Just go to my SQL Developer resources page. All of my tips are documented on this blog somewhere. I’ve indexed the most popular ones on the resource page. You can use the Search dialog on the right to find the rest. Or just send me a comment or question, and I’ll do my best to answer them as they come in.

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Trace File Source Adapter

The Trace File Source adapter is a useful addition to your SSIS toolbox. It allows you to read 2005 and 2008 profiler traces stored as .trc files and read them into the Data Flow. From there you can perform filtering and analysis using the power of SSIS. There is no need for a SQL Server connection this just uses the trace file. Example Usages Cache warming for SQL Server Analysis Services Reading the flight recorder Find out the longest running queries on a server Analyze statements for CPU, memory by user or some other criteria you choose Properties The Trace File Source adapter has two properties, both of which combine to control the source trace file that is read at runtime. SQL Server 2005 and SQL Server 2008 trace files are supported for both the Database Engine (SQL Server) and Analysis Services. The properties are managed by the Editor form or can be set directly from the Properties Grid in Visual Studio. Property Type Description AccessMode Enumeration This property determines how the Filename property is interpreted. The values available are: DirectInput Variable Filename String This property holds the path for trace file to load (*.trc). The value is either a full path, or the name of a variable which contains the full path to the trace file, depending on the AccessMode property. Trace Column Definition Hopefully the majority of you can skip this section entirely, but if you encounter some problems processing a trace file this may explain it and allow you to fix the problem. The component is built upon the trace management API provided by Microsoft. Unfortunately API methods that expose the schema of a trace file have known issues and are unreliable, put simply the data often differs from what was specified. To overcome these limitations the component uses some simple XML files. These files enable the trace column data types and sizing attributes to be overridden. For example SQL Server Profiler or TMO generated structures define EventClass as an integer, but the real value is a string. TraceDataColumnsSQL.xml - SQL Server Database Engine Trace Columns TraceDataColumnsAS.xml - SQL Server Analysis Services Trace Columns The files can be found in the %ProgramFiles%\Microsoft SQL Server\100\DTS\PipelineComponents folder, e.g. "C:\Program Files\Microsoft SQL Server\100\DTS\PipelineComponents\TraceDataColumnsSQL.xml" "C:\Program Files\Microsoft SQL Server\100\DTS\PipelineComponents\TraceDataColumnsAS.xml" If at runtime the component encounters a type conversion or sizing error it is most likely due to a discrepancy between the column definition as reported by the API and the actual value encountered. Whilst most common issues have already been fixed through these files we have implemented specific exception traps to direct you to the files to enable you to fix any further issues due to different usage or data scenarios that we have not tested. An example error that you can fix through these files is shown below. Buffer exception writing value to column 'Column Name'. The string value is 999 characters in length, the column is only 111. Columns can be overridden by the TraceDataColumns XML files in "C:\Program Files\Microsoft SQL Server\100\DTS\PipelineComponents\TraceDataColumnsAS.xml". Installation The component is provided as an MSI file which you can download and run to install it. This simply places the files on disk in the correct locations and also installs the assemblies in the Global Assembly Cache as per Microsoft’s recommendations. You may need to restart the SQL Server Integration Services service, as this caches information about what components are installed, as well as restarting any open instances of Business Intelligence Development Studio (BIDS) / Visual Studio that you may be using to build your SSIS packages. Finally you will have to add the transformation to the Visual Studio toolbox manually. Right-click the toolbox, and select Choose Items.... Select the SSIS Data Flow Items tab, and then check the Trace File Source transformation in the Choose Toolbox Items window. This process has been described in detail in the related FAQ entry for How do I install a task or transform component? We recommend you follow best practice and apply the current Microsoft SQL Server Service pack to your SQL Server servers and workstations. Please note that the Microsoft Trace classes used in the component are not supported on 64-bit platforms. To use the Trace File Source on a 64-bit host you need to ensure you have the 32-bit (x86) tools available, and the way you execute your package is setup to use them, please see the help topic 64-bit Considerations for Integration Services for more details. Downloads Trace Sources for SQL Server 2005 -- Trace Sources for SQL Server 2008 Version History SQL Server 2008 Version 2.0.0.382 - SQL Sever 2008 public release. (9 Apr 2009) SQL Server 2005 Version 1.0.0.321 - SQL Server 2005 public release. (18 Nov 2008) -- Screenshots

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SQL SERVER – Beginning of SQL Server Architecture – Terminology – Guest Post

- by pinaldave

SQL Server Architecture is a very deep subject. Covering it in a single post is an almost impossible task. However, this subject is very popular topic among beginners and advanced users. I have requested my friend Anil Kumar who is expert in SQL Domain to help me write a simple post about Beginning SQL Server Architecture. As stated earlier this subject is very deep subject and in this first article series he has covered basic terminologies. In future article he will explore the subject further down. Anil Kumar Yadav is Trainer, SQL Domain, Koenig Solutions. Koenig is a premier IT training firm that provides several IT certifications, such as Oracle 11g, Server+, RHCA, SQL Server Training, Prince2 Foundation etc. In this Article we will discuss about MS SQL Server architecture. The major components of SQL Server are: Relational Engine Storage Engine SQL OS Now we will discuss and understand each one of them. 1) Relational Engine: Also called as the query processor, Relational Engine includes the components of SQL Server that determine what your query exactly needs to do and the best way to do it. It manages the execution of queries as it requests data from the storage engine and processes the results returned. Different Tasks of Relational Engine: Query Processing Memory Management Thread and Task Management Buffer Management Distributed Query Processing 2) Storage Engine: Storage Engine is responsible for storage and retrieval of the data on to the storage system (Disk, SAN etc.). to understand more, let’s focus on the following diagram. When we talk about any database in SQL server, there are 2 types of files that are created at the disk level – Data file and Log file. Data file physically stores the data in data pages. Log files that are also known as write ahead logs, are used for storing transactions performed on the database. Let’s understand data file and log file in more details: Data File: Data File stores data in the form of Data Page (8KB) and these data pages are logically organized in extents. Extents: Extents are logical units in the database. They are a combination of 8 data pages i.e. 64 KB forms an extent. Extents can be of two types, Mixed and Uniform. Mixed extents hold different types of pages like index, System, Object data etc. On the other hand, Uniform extents are dedicated to only one type. Pages: As we should know what type of data pages can be stored in SQL Server, below mentioned are some of them: Data Page: It holds the data entered by the user but not the data which is of type text, ntext, nvarchar(max), varchar(max), varbinary(max), image and xml data. Index: It stores the index entries. Text/Image: It stores LOB ( Large Object data) like text, ntext, varchar(max), nvarchar(max), varbinary(max), image and xml data. GAM & SGAM (Global Allocation Map & Shared Global Allocation Map): They are used for saving information related to the allocation of extents. PFS (Page Free Space): Information related to page allocation and unused space available on pages. IAM (Index Allocation Map): Information pertaining to extents that are used by a table or index per allocation unit. BCM (Bulk Changed Map): Keeps information about the extents changed in a Bulk Operation. DCM (Differential Change Map): This is the information of extents that have modified since the last BACKUP DATABASE statement as per allocation unit. Log File: It also known as write ahead log. It stores modification to the database (DML and DDL). Sufficient information is logged to be able to: Roll back transactions if requested Recover the database in case of failure Write Ahead Logging is used to create log entries Transaction logs are written in chronological order in a circular way Truncation policy for logs is based on the recovery model SQL OS: This lies between the host machine (Windows OS) and SQL Server. All the activities performed on database engine are taken care of by SQL OS. It is a highly configurable operating system with powerful API (application programming interface), enabling automatic locality and advanced parallelism. SQL OS provides various operating system services, such as memory management deals with buffer pool, log buffer and deadlock detection using the blocking and locking structure. Other services include exception handling, hosting for external components like Common Language Runtime, CLR etc. I guess this brief article gives you an idea about the various terminologies used related to SQL Server Architecture. In future articles we will explore them further. Guest Author The author of the article is Anil Kumar Yadav is Trainer, SQL Domain, Koenig Solutions. Koenig is a premier IT training firm that provides several IT certifications, such as Oracle 11g, Server+, RHCA, SQL Server Training, Prince2 Foundation etc. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Security, SQL Server, SQL Tips and Tricks, SQL Training, T SQL, Technology

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ICC Cricket World Cup 2011- Free Online Live Streaming, Mobile Apps, TV and Radio Guide

- by Kavitha

The ICC Cricket World Cup 2011 will be hosted jointly by Bangladesh, India and Sri Lanka. This 10th edition of World Cup is held between 19 February-2 April 2011. The World Cup drive will be starting in Dhaka on 19 February with the inaugural match between India and Bangladesh. The 43 days long ICC World Cup Cricket 2011 event will host 49 matches, day matches starting as early as 9.30am IST and day-night matches starting at 2.30pm IST. Here is our guide to follow 2011 ICC Cricket World Cup live on your computers, televisions,mobiles and radios Free Live Streaming On The Web (Official & Unofficial) http://espnstar.com will live stream all the matches of World Cup 2011 and they will be available in HD quality as they are the official broadcasters of World Cup 2011 cricket event. This is the first time ever a world cup cricket event is streamed online officially. If you are not able to access the official live streaming of Cricket World Cup due to regional restrictions, point your browser to any of the following unofficial live streams on the web. NOTE: MAKE SURE THAT YOUR ANTIVIRUS and ANTIMALWARE software are up and running before opening any of these sites. crictime.com - this site offers 6 live streaming servers that offer World Cup 2011 Cricket matches streams. Don’t mind the ads that are displayed left,right and center and just enjoy the cricket. Web pages dedicated for the world cup streaming are already live and you can bookmark them for your reference. cricfire.com/live-cricket: cricfire gathers cricket live streams available around the web and provides them for easy access. Also they provide links for watching highlights and other post match analysis shows. Other sites that provide live streaming videos extracover.net webcric.com Searching for Unofficial Streams On Live Video Streaming Sites One of the best ways to find the unofficial streams is look for live streaming feeds on popular video streaming websites. We can be assured that these sites does not spread malware and spammy ads as they are well established. Here are the queries that you can use to search the popular sites FreedoCast http://freedocast.com/search.aspx?go=cricket%20world%20cup Justin.tv http://www.justin.tv/search?q=cricket+world+cup Ustream.tv http://www.ustream.tv/discovery/live/all?q=cricket%20world%20cup TV Channels That Telecast Cricket World Cup Live Even though web is the place where we spend most of our time for entertainment, TVs are still popular for watching sports events. Mostly 90% of us are going to follow this cricket world cup matches on television sets. Here is the list of TV channels that paid whooping amounts of money for broadcasting rights and going to telecast live cricket Afghanistan – Ariana Television Network: Lemar TV Australia – Nine Network, Fox Sports Bangladesh – Bangladesh Television Canada – Asian Television Network China – ESPN Star Sports Europe (Except UK & Ireland) – Eurosport2 Fiji – Fiji TV India – ESPN Star Sports, Star Cricket, DD National (mostly India matches alone) Ireland – Zee Cafe Jamaica – Television Jamaica Middle East – Arab Radio and Television Network Nepal – ESPN Star Sports New Zealand – Sky Sport Pacific Islands – Sky Pacific Pakistan – GEO Super, Pakistan Television Corporation Pan-Africa – South African Broadcasting Corporation Singapore – Star Cricket South Africa – Supersport, Sabc3 Sport Sri Lanka – Sri Lanka Rupavahini Corporation United Kingdom – Sky Sports HD USA – Willow Cricket, DirecTV, Dish Network West Indies – Caribbean Media Corporation Radio Stations That Provide Live Commentary Don’t we listen to radio? Yes we still listen to radios, especially when we are on the go. Radios are part of our mobiles as well as music players like iPods. Here are the stations that you can tune into for catching live cricket commentary Australia – ABC Local Radio Bangladesh – Bangladesh Betar Canada , Central America – EchoStar India – All India Radio Pakistan, United Arab Emirates – Hum FM Sri Lanka – FM Derana United Kingdom, Ireland – BBC Radio West Indies – Caribbean Media Corporation Watch World Cup Cricket On Your Mobile This section is for Indian users. 3G rollout is happening at very high pace in all part of the India and most of the metros and towns are able to access 3G services. With 3G on your mobile you will be able to watch live ICC world cricket on your Reliance Mobiles and you can read more about it here. Top 10 Cricket Websites Check out our earlier post on top 10 cricket web sites for information. This article titled,ICC Cricket World Cup 2011- Free Online Live Streaming, Mobile Apps, TV and Radio Guide, was originally published at Tech Dreams. Grab our rss feed or fan us on Facebook to get updates from us.

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Windows Azure Use Case: Hybrid Applications

- by BuckWoody

This is one in a series of posts on when and where to use a distributed architecture design in your organization's computing needs. You can find the main post here: http://blogs.msdn.com/b/buckwoody/archive/2011/01/18/windows-azure-and-sql-azure-use-cases.aspx Description: Organizations see the need for computing infrastructures that they can “rent” or pay for only when they need them. They also understand the benefits of distributed computing, but do not want to create this infrastructure themselves. However, they may have considerations that prevent them from moving all of their current IT investment to a distributed environment: Private data (do not want to send or store sensitive data off-site) High dollar investment in current infrastructure Applications currently running well, but may need additional periodic capacity Current applications not designed in a stateless fashion In these situations, a “hybrid” approach works best. In fact, with Windows Azure, a hybrid approach is an optimal way to implement distributed computing even when the stipulations above do not apply. Keeping a majority of the computing function in an organization local while exploring and expanding that footprint into Windows and SQL Azure is a good migration or expansion strategy. A “hybrid” architecture merely means that part of a computing cycle is shared between two architectures. For instance, some level of computing might be done in a Windows Azure web-based application, while the data is stored locally at the organization. Implementation: There are multiple methods for implementing a hybrid architecture, in a spectrum from very little interaction from the local infrastructure to Windows or SQL Azure. The patterns fall into two broad schemas, and even these can be mixed. 1. Client-Centric Hybrid Patterns In this pattern, programs are coded such that the client system sends queries or compute requests to multiple systems. The “client” in this case might be a web-based codeset actually stored on another system (which acts as a client, the user’s device serving as the presentation layer) or a compiled program. In either case, the code on the client requestor carries the burden of defining the layout of the requests. While this pattern is often the easiest to code, it’s the most brittle. Any change in the architecture must be reflected on each client, but this can be mitigated by using a centralized system as the client such as in the web scenario. 2. System-Centric Hybrid Patterns Another approach is to create a distributed architecture by turning on-site systems into “services” that can be called from Windows Azure using the service Bus or the Access Control Services (ACS) capabilities. Code calls from a series of in-process client application. In this pattern you move the “client” interface into the server application logic. If you do not wish to change the application itself, you can “layer” the results of the code return using a product (such as Microsoft BizTalk) that exposes a Web Services Definition Language (WSDL) endpoint to Windows Azure using the Application Fabric. In effect, this is similar to creating a Service Oriented Architecture (SOA) environment, and has the advantage of de-coupling your computing architecture. If each system offers a “service” of the results of some software processing, the operating system or platform becomes immaterial, assuming it adheres to a service contract. There are important considerations when you federate a system, whether to Windows or SQL Azure or any other distributed architecture. While these considerations are consistent with coding any application for distributed computing, they are especially important for a hybrid application. Connection resiliency - Applications on-premise normally have low-latency and good connection properties, something you’re not always guaranteed in a distributed and hybrid application. Whether a centralized client or a distributed one, the code should be able to handle extended retry logic. Authorization and Access - In a single authorization environment like a Active Directory domain, security is handled at a user-password level. In a distributed computing environment, you have more options. You can mitigate this with using The Windows Azure Application Fabric feature of ACS to make the Azure application aware of the App Fabric as an ADFS provider. However, a claims-based authentication structure is often a superior choice. Consistency and Concurrency - When you have a Relational Database Management System (RDBMS), Consistency and Concurrency are part of the design. In a Service Architecture, you need to plan for sequential message handling and lifecycle. Resources: How to Build a Hybrid On-Premise/In Cloud Application: http://blogs.msdn.com/b/ignitionshowcase/archive/2010/11/09/how-to-build-a-hybrid-on-premise-in-cloud-application.aspx General Architecture guidance: http://blogs.msdn.com/b/buckwoody/archive/2010/12/21/windows-azure-learning-plan-architecture.aspx

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Building a Distributed Commerce Infrastructure in the Cloud using Azure and Commerce Server

- by Lewis Benge

One of the biggest questions I routinely get asked is how scalable Commerce Server is. Of course the text book answer is the product has been around for 10 years, powers some of the largest e-Commerce websites in the world, so it scales horizontally extremely well. One argument however though is what if you can't predict the growth of demand required of your Commerce Platform, or need the ability to scale up during busy seasons such as Christmas for a retail environment but are hesitant on maintaining the infrastructure on a year-round basis? The obvious answer is to utilise the many elasticated cloud infrastructure providers that are establishing themselves in the ever-growing market, the problem however is Commerce Server is still product which has a legacy tightly coupled dependency on Windows and IIS components. Commerce Server 2009 codename "R2" however introduced to the concept of an n-tier deployment of Microsoft Commerce Server, meaning you are no longer tied to core objects API but instead have serializable Commerce Entity objects, and business logic allowing for Commerce Server to now be built into a WCF-based SOA architecture. Presentation layers no-longer now need to remain on the same physical machine as the application server, meaning you can now build the user experience into multiple-technologies and host them in multiple places – leveraging the transport benefits that a WCF service may bring, such as message queuing, security, and multiple end-points. All of this logic will still need to remain in your internal infrastructure, for two reasons. Firstly cloud based computing infrastructure does not support PCI security requirements, and secondly even though many of the legacy Commerce Server dependencies have been abstracted away within this version of the application, it is still not a fully supported to be deployed exclusively into the cloud. If you do wish to benefit from the scalability of the cloud however, you can still achieve a great Commerce Server and Azure setup by utilising both the Azure App Fabric in terms of the service bus, and authentication services and Windows Azure to host any online presence you may require. The architecture would be something similar to this: This setup would allow you to construct your Commerce Services as part of your on-site infrastructure. These services would contain all of the channels custom business logic, and provide the overall interface back into the underlying Commerce Server components. It would be recommended that services are constructed around the specific business domain of the application, which based on your business model would usually consist of separate services around Catalogue, Orders, Search, Profiles, and Marketing. The App Fabric service bus is then used to abstract and aggregate further the services, making them available to the cloud and subsequently secured by App Fabrics authentication services. These services are now available for consumption by any client, using any supported technology – not just .NET. Thus meaning you are now able to construct apps for IPhone, integrate with Java based POS Devices, and any many other potential uses. This aggregation is useful, and forms the basis of the further strategy around diversifying and enhancing the e-Commerce experience, but also provides the foundation for the scalability we want to gain from utilising a cloud-based application platform. The Windows Azure application platform is Microsoft solution to benefiting from the true economies of scale in terms of the elasticity of the cloud. Just before the launch of the Azure Platform – Domino's pizza actually managed to run their whole SuperBowl operation from the scalability of Windows Azure, and simply switching back to their traditional operation the next day with no residual infrastructure costs. The platform also natively can subscribe to services and messages exposed within the AppFabric service bus, making it an ideal solution to build and deploy a presentation layer which will need to support of scalable infrastructure – such as a high demand public facing e-Commerce portal, or a promotion element of a brand. Windows Azure has excellent support for ASP.NET, including its own caching providers meaning expensive operations such as catalogue queries can persist in memory on the application server, reducing the demand on internal infrastructure and prioritising it for more business critical operations such as receiving orders and processing payments. Windows Azure also supports other languages too, meaning utilising this approach you can technically build a Commerce Server presentation layer in Java, PHP, or Ruby – or equally in ASP.NET or Silverlight without having to change any of the underlying business or Commerce Server implementation. This SOA-style architecture is one of the primary differentiators for Commerce Server as a product in the e-Commerce market, and now with the introduction of a WCF capability in Commerce Server 2009/2009 R2 the opportunities for extensibility of the both the user experience, and integration into third parties, are drastically increased, all with no effect to the underlying channel logic. So if you are looking at deployment options for your e-Commerce application to help support demand in a cost effective way. I would highly recommend you consider looking at Windows Azure, and if you have any questions in-particular about this style of deployment, please feel free to get in touch!

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How to deploy jBPM 3.2.2 console on Oracle 10g iAS

- by Balint Pato

Hi! Does anybody have experience regarding deployment of the jBPM Administration Console on Oracle 10g iAS? I successfully deployed it using an .ear, security mappings working, I can even login to the console, Hibernate finds the JNDI datasource but it cannot find the TransactionManager. I see no log, only the exception thrown in the jsf page: Can anybody help me? The hibernate.cfg.xml file now looks like this: <?xml version='1.0' encoding='utf-8'?> <!DOCTYPE hibernate-configuration PUBLIC "-//Hibernate/Hibernate Configuration DTD 3.0//EN" "http://hibernate.sourceforge.net/hibernate-configuration-3.0.dtd"> <hibernate-configuration> <session-factory>  <property name="hibernate.dialect">org.hibernate.dialect.Oracle9Dialect</property>  <property name="hibernate.cache.provider_class">org.hibernate.cache.HashtableCacheProvider</property>  <property name="hibernate.connection.datasource">java:/JbpmDS</property>   <property name="hibernate.transaction.factory_class">org.hibernate.transaction.JTATransactionFactory</property>     <property name="hibernate.show_sql">true</property> <property name="hibernate.format_sql">true</property> <property name="hibernate.use_sql_comments">true</property> <--==== logging properties (end) -->         <mapping resource="org/jbpm/graph/action/Script.hbm.xml"/>        <mapping resource="org/jbpm/identity/User.hbm.xml"/> <mapping resource="org/jbpm/identity/Group.hbm.xml"/> <mapping resource="org/jbpm/identity/Membership.hbm.xml"/>         <mapping resource="org/jbpm/db/hibernate.queries.hbm.xml" />  <mapping resource="org/jbpm/graph/action/MailAction.hbm.xml"/>  <mapping resource="org/jbpm/graph/def/ProcessDefinition.hbm.xml"/> <mapping resource="org/jbpm/graph/def/Node.hbm.xml"/> <mapping resource="org/jbpm/graph/def/Transition.hbm.xml"/> <mapping resource="org/jbpm/graph/def/Event.hbm.xml"/> <mapping resource="org/jbpm/graph/def/Action.hbm.xml"/> <mapping resource="org/jbpm/graph/def/SuperState.hbm.xml"/> <mapping resource="org/jbpm/graph/def/ExceptionHandler.hbm.xml"/> <mapping resource="org/jbpm/instantiation/Delegation.hbm.xml"/>  <mapping resource="org/jbpm/graph/node/StartState.hbm.xml"/> <mapping resource="org/jbpm/graph/node/EndState.hbm.xml"/> <mapping resource="org/jbpm/graph/node/ProcessState.hbm.xml"/> <mapping resource="org/jbpm/graph/node/Decision.hbm.xml"/> <mapping resource="org/jbpm/graph/node/Fork.hbm.xml"/> <mapping resource="org/jbpm/graph/node/Join.hbm.xml"/> <mapping resource="org/jbpm/graph/node/MailNode.hbm.xml"/> <mapping resource="org/jbpm/graph/node/State.hbm.xml"/> <mapping resource="org/jbpm/graph/node/TaskNode.hbm.xml"/>  <mapping resource="org/jbpm/context/def/ContextDefinition.hbm.xml"/> <mapping resource="org/jbpm/context/def/VariableAccess.hbm.xml"/>  <mapping resource="org/jbpm/taskmgmt/def/TaskMgmtDefinition.hbm.xml"/> <mapping resource="org/jbpm/taskmgmt/def/Swimlane.hbm.xml"/> <mapping resource="org/jbpm/taskmgmt/def/Task.hbm.xml"/> <mapping resource="org/jbpm/taskmgmt/def/TaskController.hbm.xml"/>  <mapping resource="org/jbpm/module/def/ModuleDefinition.hbm.xml"/>  <mapping resource="org/jbpm/bytes/ByteArray.hbm.xml"/>  <mapping resource="org/jbpm/file/def/FileDefinition.hbm.xml"/>  <mapping resource="org/jbpm/scheduler/def/CreateTimerAction.hbm.xml"/> <mapping resource="org/jbpm/scheduler/def/CancelTimerAction.hbm.xml"/>  <mapping resource="org/jbpm/graph/exe/Comment.hbm.xml"/> <mapping resource="org/jbpm/graph/exe/ProcessInstance.hbm.xml"/> <mapping resource="org/jbpm/graph/exe/Token.hbm.xml"/> <mapping resource="org/jbpm/graph/exe/RuntimeAction.hbm.xml"/>  <mapping resource="org/jbpm/module/exe/ModuleInstance.hbm.xml"/>  <mapping resource="org/jbpm/context/exe/ContextInstance.hbm.xml"/> <mapping resource="org/jbpm/context/exe/TokenVariableMap.hbm.xml"/> <mapping resource="org/jbpm/context/exe/VariableInstance.hbm.xml"/> <mapping resource="org/jbpm/context/exe/variableinstance/ByteArrayInstance.hbm.xml"/> <mapping resource="org/jbpm/context/exe/variableinstance/DateInstance.hbm.xml"/> <mapping resource="org/jbpm/context/exe/variableinstance/DoubleInstance.hbm.xml"/> <mapping resource="org/jbpm/context/exe/variableinstance/HibernateLongInstance.hbm.xml"/> <mapping resource="org/jbpm/context/exe/variableinstance/HibernateStringInstance.hbm.xml"/> <mapping resource="org/jbpm/context/exe/variableinstance/LongInstance.hbm.xml"/> <mapping resource="org/jbpm/context/exe/variableinstance/NullInstance.hbm.xml"/> <mapping resource="org/jbpm/context/exe/variableinstance/StringInstance.hbm.xml"/>  <mapping resource="org/jbpm/job/Job.hbm.xml"/> <mapping resource="org/jbpm/job/Timer.hbm.xml"/> <mapping resource="org/jbpm/job/ExecuteNodeJob.hbm.xml"/> <mapping resource="org/jbpm/job/ExecuteActionJob.hbm.xml"/>  <mapping resource="org/jbpm/taskmgmt/exe/TaskMgmtInstance.hbm.xml"/> <mapping resource="org/jbpm/taskmgmt/exe/TaskInstance.hbm.xml"/> <mapping resource="org/jbpm/taskmgmt/exe/PooledActor.hbm.xml"/> <mapping resource="org/jbpm/taskmgmt/exe/SwimlaneInstance.hbm.xml"/>  <mapping resource="org/jbpm/logging/log/ProcessLog.hbm.xml"/> <mapping resource="org/jbpm/logging/log/MessageLog.hbm.xml"/> <mapping resource="org/jbpm/logging/log/CompositeLog.hbm.xml"/> <mapping resource="org/jbpm/graph/log/ActionLog.hbm.xml"/> <mapping resource="org/jbpm/graph/log/NodeLog.hbm.xml"/> <mapping resource="org/jbpm/graph/log/ProcessInstanceCreateLog.hbm.xml"/> <mapping resource="org/jbpm/graph/log/ProcessInstanceEndLog.hbm.xml"/> <mapping resource="org/jbpm/graph/log/ProcessStateLog.hbm.xml"/> <mapping resource="org/jbpm/graph/log/SignalLog.hbm.xml"/> <mapping resource="org/jbpm/graph/log/TokenCreateLog.hbm.xml"/> <mapping resource="org/jbpm/graph/log/TokenEndLog.hbm.xml"/> <mapping resource="org/jbpm/graph/log/TransitionLog.hbm.xml"/> <mapping resource="org/jbpm/context/log/VariableLog.hbm.xml"/> <mapping resource="org/jbpm/context/log/VariableCreateLog.hbm.xml"/> <mapping resource="org/jbpm/context/log/VariableDeleteLog.hbm.xml"/> <mapping resource="org/jbpm/context/log/VariableUpdateLog.hbm.xml"/> <mapping resource="org/jbpm/context/log/variableinstance/ByteArrayUpdateLog.hbm.xml"/> <mapping resource="org/jbpm/context/log/variableinstance/DateUpdateLog.hbm.xml"/> <mapping resource="org/jbpm/context/log/variableinstance/DoubleUpdateLog.hbm.xml"/> <mapping resource="org/jbpm/context/log/variableinstance/HibernateLongUpdateLog.hbm.xml"/> <mapping resource="org/jbpm/context/log/variableinstance/HibernateStringUpdateLog.hbm.xml"/> <mapping resource="org/jbpm/context/log/variableinstance/LongUpdateLog.hbm.xml"/> <mapping resource="org/jbpm/context/log/variableinstance/StringUpdateLog.hbm.xml"/> <mapping resource="org/jbpm/taskmgmt/log/TaskLog.hbm.xml"/> <mapping resource="org/jbpm/taskmgmt/log/TaskCreateLog.hbm.xml"/> <mapping resource="org/jbpm/taskmgmt/log/TaskAssignLog.hbm.xml"/> <mapping resource="org/jbpm/taskmgmt/log/TaskEndLog.hbm.xml"/> <mapping resource="org/jbpm/taskmgmt/log/SwimlaneLog.hbm.xml"/> <mapping resource="org/jbpm/taskmgmt/log/SwimlaneCreateLog.hbm.xml"/> <mapping resource="org/jbpm/taskmgmt/log/SwimlaneAssignLog.hbm.xml"/> </session-factory> </hibernate-configuration> ---- edit --- I have already tried the hibernate.transaction.manager_lookup_class to set to the JBoss version (org.hibernate.transaction.JBossTransactionManagerLookup) it did not work...well it's not that suprising...I'll try now: org.hibernate.transaction.OC4JTransactionManagerLookup I tried with CMT instead of JTA, but it didn't work also.

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SQL SERVER – Guest Post by Sandip Pani – SQL Server Statistics Name and Index Creation

- by pinaldave

Sometimes something very small or a common error which we observe in daily life teaches us new things. SQL Server Expert Sandip Pani (winner of Joes 2 Pros Contests) has come across similar experience. Sandip has written a guest post on an error he faced in his daily work. Sandip is working for QSI Healthcare as an Associate Technical Specialist and have more than 5 years of total experience. He blogs at SQLcommitted.com and contribute in various forums. His social media hands are LinkedIn, Facebook and Twitter. Once I faced following error when I was working on performance tuning project and attempt to create an Index. Mug 1913, Level 16, State 1, Line 1 The operation failed because an index or statistics with name ‘Ix_Table1_1′ already exists on table ‘Table1′. The immediate reaction to the error was that I might have created that index earlier and when I researched it further I found the same as the index was indeed created two times. This totally makes sense. This can happen due to many reasons for example if the user is careless and executes the same code two times as well, when he attempts to create index without checking if there was index already on the object. However when I paid attention to the details of the error, I realize that error message also talks about statistics along with the index. I got curious if the same would happen if I attempt to create indexes with the same name as statistics already created. There are a few other questions also prompted in my mind. I decided to do a small demonstration of the subject and build following demonstration script. The goal of my experiment is to find out the relation between statistics and the index. Statistics is one of the important input parameter for the optimizer during query optimization process. If the query is nontrivial then only optimizer uses statistics to perform a cost based optimization to select a plan. For accuracy and further learning I suggest to read MSDN. Now let’s find out the relationship between index and statistics. We will do the experiment in two parts. i) Creating Index ii) Creating Statistics We will be using the following T-SQL script for our example. IF (OBJECT_ID('Table1') IS NOT NULL) DROP TABLE Table1 GO CREATE TABLE Table1 (Col1 INT NOT NULL, Col2 VARCHAR(20) NOT NULL) GO We will be using following two queries to check if there are any index or statistics on our sample table Table1. -- Details of Index SELECT OBJECT_NAME(OBJECT_ID) AS TableName, Name AS IndexName, type_desc FROM sys.indexes WHERE OBJECT_NAME(OBJECT_ID) = 'table1' GO -- Details of Statistics SELECT OBJECT_NAME(OBJECT_ID) TableName, Name AS StatisticsName FROM sys.stats WHERE OBJECT_NAME(OBJECT_ID) = 'table1' GO When I ran above two scripts on the table right after it was created it did not give us any result which was expected. Now let us begin our test. 1) Create an index on the table Create following index on the table. CREATE NONCLUSTERED INDEX Ix_Table1_1 ON Table1(Col1) GO Now let us use above two scripts and see their results. We can see that when we created index at the same time it created statistics also with the same name. Before continuing to next set of demo – drop the table using following script and re-create the table using a script provided at the beginning of the table. DROP TABLE table1 GO 2) Create a statistic on the table Create following statistics on the table. CREATE STATISTICS Ix_table1_1 ON Table1 (Col1) GO Now let us use above two scripts and see their results. We can see that when we created statistics Index is not created. The behavior of this experiment is different from the earlier experiment. Clean up the table setup using the following script: DROP TABLE table1 GO Above two experiments teach us very valuable lesson that when we create indexes, SQL Server generates the index and statistics (with the same name as the index name) together. Now due to the reason if we have already had statistics with the same name but not the index, it is quite possible that we will face the error to create the index even though there is no index with the same name. A Quick Check To validate that if we create statistics first and then index after that with the same name, it will throw an error let us run following script in SSMS. Make sure to drop the table and clean up our sample table at the end of the experiment. -- Create sample table CREATE TABLE TestTable (Col1 INT NOT NULL, Col2 VARCHAR(20) NOT NULL) GO -- Create Statistics CREATE STATISTICS IX_TestTable_1 ON TestTable (Col1) GO -- Create Index CREATE NONCLUSTERED INDEX IX_TestTable_1 ON TestTable(Col1) GO -- Check error /*Msg 1913, Level 16, State 1, Line 2 The operation failed because an index or statistics with name 'IX_TestTable_1' already exists on table 'TestTable'. */ -- Clean up DROP TABLE TestTable GO While creating index it will throw the following error as statistics with the same name is already created. In simple words – when we create index the name of the index should be different from any of the existing indexes and statistics. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Error Messages, SQL Index, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology Tagged: SQL Statistics

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SQL – Quick Start with Explorer Sections of NuoDB – Query NuoDB Database

- by Pinal Dave

This is the third post in the series of the blog posts I am writing about NuoDB. NuoDB is very innovative and easy-to-use product. I can clearly see how one can scale-out NuoDB with so much ease and confidence. In my very first blog post we discussed how we can install NuoDB (link), and in my second post I discussed how we can manage the NuoDB database transaction engines and storage managers with a few clicks (link). Note: You can Download NuoDB from here. In this post, we will learn how we can use the Explorer feature of NuoDB to do various SQL operations. NuoDB has a browser-based Explorer, which is very powerful and has many of the features any IDE would normally have. Let us see how it works in the following step-by-step tutorial. Let us go to the NuoDBNuoDB Console by typing the following URL in your browser: http://localhost:8080/ It will bring you to the QuickStart screen. Make sure that you have created the sample database. If you have not created sample database, click on Create Database and create it successfully. Now go to the NuoDB Explorer by clicking on the main tab, and it will ask you for your domain username and password. Enter the username as a domain and password as a bird. Alternatively you can also enter username as a quickstart and password as a quickstart. Once you enter the password you will be able to see the databases. In our example we have installed the Sample Database hence you will see the Test database in our Database Hierarchy screen. When you click on database it will ask for the database login. Note that Database Login is different from Domain login and you will have to enter your database login over here. In our case the database username is dba and password is goalie. Once you enter a valid username and password it will display your database. Further expand your database and you will notice various objects in your database. Once you explore various objects, select any database and click on Open. When you click on execute, it will display the SQL script to select the data from the table. The autogenerated script displays entire result set from the database. The NuoDB Explorer is very powerful and makes the life of developers very easy. If you click on List SQL Statements it will list all the available SQL statements right away in Query Editor. You can see the popup window in following image. Here is the cool thing for geeks. You can even click on Query Plan and it will display the text based query plan as well. In case of a SELECT, the query plan will be much simpler, however, when we write complex queries it will be very interesting. We can use the query plan tab for performance tuning of the database. Here is another feature, when we click on List Tables in NuoDB Explorer. It lists all the available tables in the query editor. This is very helpful when we are writing a long complex query. Here is a relatively complex example I have built using Inner Join syntax. Right below I have displayed the Query Plan. The query plan displays all the little details related to the query. Well, we just wrote multi-table query and executed it against the NuoDB database. You can use the NuoDB Admin section and do various analyses of the query and its performance. NuoDB is a distributed database built on a patented emergent architecture with full support for SQL and ACID guarantees. It allows you to add Transaction Engine processes to a running system to improve the performance of your system. You can also add a second Storage Engine to your running system for redundancy purposes. Conversely, you can shut down processes when you don’t need the extra database resources. NuoDB also provides developers and administrators with a single intuitive interface for centrally monitoring deployments. If you have read my blog posts and have not tried out NuoDB, I strongly suggest that you download it today and catch up with the learnings with me. Trust me though the product is very powerful, it is extremely easy to learn and use. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology Tagged: NuoDB

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NoSQL Memcached API for MySQL: Latest Updates

- by Mat Keep

With data volumes exploding, it is vital to be able to ingest and query data at high speed. For this reason, MySQL has implemented NoSQL interfaces directly to the InnoDB and MySQL Cluster (NDB) storage engines, which bypass the SQL layer completely. Without SQL parsing and optimization, Key-Value data can be written directly to MySQL tables up to 9x faster, while maintaining ACID guarantees. In addition, users can continue to run complex queries with SQL across the same data set, providing real-time analytics to the business or anonymizing sensitive data before loading to big data platforms such as Hadoop, while still maintaining all of the advantages of their existing relational database infrastructure. This and more is discussed in the latest Guide to MySQL and NoSQL where you can learn more about using the APIs to scale new generations of web, cloud, mobile and social applications on the world's most widely deployed open source database The native Memcached API is part of the MySQL 5.6 Release Candidate, and is already available in the GA release of MySQL Cluster. By using the ubiquitous Memcached API for writing and reading data, developers can preserve their investments in Memcached infrastructure by re-using existing Memcached clients, while also eliminating the need for application changes. Speed, when combined with flexibility, is essential in the world of growing data volumes and variability. Complementing NoSQL access, support for on-line DDL (Data Definition Language) operations in MySQL 5.6 and MySQL Cluster enables DevOps teams to dynamically update their database schema to accommodate rapidly changing requirements, such as the need to capture additional data generated by their applications. These changes can be made without database downtime. Using the Memcached interface, developers do not need to define a schema at all when using MySQL Cluster. Lets look a little more closely at the Memcached implementations for both InnoDB and MySQL Cluster. Memcached Implementation for InnoDB The Memcached API for InnoDB is previewed as part of the MySQL 5.6 Release Candidate. As illustrated in the following figure, Memcached for InnoDB is implemented via a Memcached daemon plug-in to the mysqld process, with the Memcached protocol mapped to the native InnoDB API. Figure 1: Memcached API Implementation for InnoDB With the Memcached daemon running in the same process space, users get very low latency access to their data while also leveraging the scalability enhancements delivered with InnoDB and a simple deployment and management model. Multiple web / application servers can remotely access the Memcached / InnoDB server to get direct access to a shared data set. With simultaneous SQL access, users can maintain all the advanced functionality offered by InnoDB including support for Foreign Keys, XA transactions and complex JOIN operations. Benchmarks demonstrate that the NoSQL Memcached API for InnoDB delivers up to 9x higher performance than the SQL interface when inserting new key/value pairs, with a single low-end commodity server supporting nearly 70,000 Transactions per Second. Figure 2: Over 9x Faster INSERT Operations The delivered performance demonstrates MySQL with the native Memcached NoSQL interface is well suited for high-speed inserts with the added assurance of transactional guarantees. You can check out the latest Memcached / InnoDB developments and benchmarks here You can learn how to configure the Memcached API for InnoDB here Memcached Implementation for MySQL Cluster Memcached API support for MySQL Cluster was introduced with General Availability (GA) of the 7.2 release, and joins an extensive range of NoSQL interfaces that are already available for MySQL Cluster Like Memcached, MySQL Cluster provides a distributed hash table with in-memory performance. MySQL Cluster extends Memcached functionality by adding support for write-intensive workloads, a full relational model with ACID compliance (including persistence), rich query support, auto-sharding and 99.999% availability, with extensive management and monitoring capabilities. All writes are committed directly to MySQL Cluster, eliminating cache invalidation and the overhead of data consistency checking to ensure complete synchronization between the database and cache. Figure 3: Memcached API Implementation with MySQL Cluster Implementation is simple: 1. The application sends reads and writes to the Memcached process (using the standard Memcached API). 2. This invokes the Memcached Driver for NDB (which is part of the same process) 3. The NDB API is called, providing for very quick access to the data held in MySQL Cluster’s data nodes. The solution has been designed to be very flexible, allowing the application architect to find a configuration that best fits their needs. It is possible to co-locate the Memcached API in either the data nodes or application nodes, or alternatively within a dedicated Memcached layer. The benefit of this flexible approach to deployment is that users can configure behavior on a per-key-prefix basis (through tables in MySQL Cluster) and the application doesn’t have to care – it just uses the Memcached API and relies on the software to store data in the right place(s) and to keep everything synchronized. Using Memcached for Schema-less Data By default, every Key / Value is written to the same table with each Key / Value pair stored in a single row – thus allowing schema-less data storage. Alternatively, the developer can define a key-prefix so that each value is linked to a pre-defined column in a specific table. Of course if the application needs to access the same data through SQL then developers can map key prefixes to existing table columns, enabling Memcached access to schema-structured data already stored in MySQL Cluster. Conclusion Download the Guide to MySQL and NoSQL to learn more about NoSQL APIs and how you can use them to scale new generations of web, cloud, mobile and social applications on the world's most widely deployed open source database See how to build a social app with MySQL Cluster and the Memcached API from our on-demand webinar or take a look at the docs Don't hesitate to use the comments section below for any questions you may have

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Big Data – Role of Cloud Computing in Big Data – Day 11 of 21

- by Pinal Dave

In yesterday’s blog post we learned the importance of the NewSQL. In this article we will understand the role of Cloud in Big Data Story What is Cloud? Cloud is the biggest buzzword around from last few years. Everyone knows about the Cloud and it is extremely well defined online. In this article we will discuss cloud in the context of the Big Data. Cloud computing is a method of providing a shared computing resources to the application which requires dynamic resources. These resources include applications, computing, storage, networking, development and various deployment platforms. The fundamentals of the cloud computing are that it shares pretty much share all the resources and deliver to end users as a service. Examples of the Cloud Computing and Big Data are Google and Amazon.com. Both have fantastic Big Data offering with the help of the cloud. We will discuss this later in this blog post. There are two different Cloud Deployment Models: 1) The Public Cloud and 2) The Private Cloud Public Cloud Public Cloud is the cloud infrastructure build by commercial providers (Amazon, Rackspace etc.) creates a highly scalable data center that hides the complex infrastructure from the consumer and provides various services. Private Cloud Private Cloud is the cloud infrastructure build by a single organization where they are managing highly scalable data center internally. Here is the quick comparison between Public Cloud and Private Cloud from Wikipedia: Public Cloud Private Cloud Initial cost Typically zero Typically high Running cost Unpredictable Unpredictable Customization Impossible Possible Privacy No (Host has access to the data Yes Single sign-on Impossible Possible Scaling up Easy while within defined limits Laborious but no limits Hybrid Cloud Hybrid Cloud is the cloud infrastructure build with the composition of two or more clouds like public and private cloud. Hybrid cloud gives best of the both the world as it combines multiple cloud deployment models together. Cloud and Big Data – Common Characteristics There are many characteristics of the Cloud Architecture and Cloud Computing which are also essentially important for Big Data as well. They highly overlap and at many places it just makes sense to use the power of both the architecture and build a highly scalable framework. Here is the list of all the characteristics of cloud computing important in Big Data Scalability Elasticity Ad-hoc Resource Pooling Low Cost to Setup Infastructure Pay on Use or Pay as you Go Highly Available Leading Big Data Cloud Providers There are many players in Big Data Cloud but we will list a few of the known players in this list. Amazon Amazon is arguably the most popular Infrastructure as a Service (IaaS) provider. The history of how Amazon started in this business is very interesting. They started out with a massive infrastructure to support their own business. Gradually they figured out that their own resources are underutilized most of the time. They decided to get the maximum out of the resources they have and hence they launched their Amazon Elastic Compute Cloud (Amazon EC2) service in 2006. Their products have evolved a lot recently and now it is one of their primary business besides their retail selling. Amazon also offers Big Data services understand Amazon Web Services. Here is the list of the included services: Amazon Elastic MapReduce – It processes very high volumes of data Amazon DynammoDB – It is fully managed NoSQL (Not Only SQL) database service Amazon Simple Storage Services (S3) – A web-scale service designed to store and accommodate any amount of data Amazon High Performance Computing – It provides low-tenancy tuned high performance computing cluster Amazon RedShift – It is petabyte scale data warehousing service Google Though Google is known for Search Engine, we all know that it is much more than that. Google Compute Engine – It offers secure, flexible computing from energy efficient data centers Google Big Query – It allows SQL-like queries to run against large datasets Google Prediction API – It is a cloud based machine learning tool Other Players Besides Amazon and Google we also have other players in the Big Data market as well. Microsoft is also attempting Big Data with the Cloud with Microsoft Azure. Additionally Rackspace and NASA together have initiated OpenStack. The goal of Openstack is to provide a massively scaled, multitenant cloud that can run on any hardware. Thing to Watch The cloud based solutions provides a great integration with the Big Data’s story as well it is very economical to implement as well. However, there are few things one should be very careful when deploying Big Data on cloud solutions. Here is a list of a few things to watch: Data Integrity Initial Cost Recurring Cost Performance Data Access Security Location Compliance Every company have different approaches to Big Data and have different rules and regulations. Based on various factors, one can implement their own custom Big Data solution on a cloud. Tomorrow In tomorrow’s blog post we will discuss about various Operational Databases supporting Big Data. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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SQL Authority News – Play by Play with Pinal Dave – A Birthday Gift

- by Pinal Dave

Today is my birthday. Personal Note When I was young, I was always looking forward to my birthday as on this day, I used to get gifts from everybody. Now when I am getting old on each of my birthday, I have almost same feeling but the direction is different. Now on each of my birthday, I feel like giving gifts to everybody. I have received lots of support, love and respect from everybody; and now I must return it back.Well, on this birthday, I have very unique gifts for everybody – my latest course on SQL Server. How I Tune Performance I often get questions where I am asked how do I work on a normal day. I am often asked that how do I work when I have performance tuning project is assigned to me. Lots of people have expressed their desire that they want me to explain and demonstrate my own method of solving performance problem when I am facing real world problem. It is a pretty difficult task as in the real world, nothing goes as planned and usually planned demonstrations have no place there. The real world, demands real solutions and in a timely fashion. If a consultant goes to industry and does not demonstrate his/her capabilities in very first few minutes, it does not matter how much fame he/she is, the door is shown to them eventually. It is true and in my early career, I have faced it quite commonly. I have learned the trick to be honest from the start and request absolutely transparent communication from the organization where I am to consult. Play by Play Play by Play is a very unique setup. It is not planned and it is a step by step course. It is like a reality show – a very real encounter to the problem and real problem solving approach. I had a great time doing this course. Geoffrey Grosenbach (VP of Pluralsight) sits down with me to see what a SQL Server Admin does in the real world. This Play-by-Play focuses on SQL Server performance tuning and I go over optimizing queries and fine-tuning the server. The table of content of this course is very simple. Introduction In the introduction I explained my basic strategies when I am approached by a customer for performance tuning. Basic Information Gathering In this module I explain how I do gather various information for performance tuning project. It is very crucial to demonstrate to customers for consultant his capability of solving problem. I attempt to resolve a small problem which gives a big positive impact on performance, consultant have to gather proper information from the start. I demonstrate in this module, how one can collect all the important performance tuning metrics. Removing Performance Bottleneck In this module, I build upon the previous module’s statistics collected. I analysis various performance tuning measures and immediately start implementing various tweaks on the performance, which will start improving the performance of my server. This is a very effective method and it gives immediate return of efforts. Index Optimization Indexes are considered as a silver bullet for performance tuning. However, it is not true always there are plenty of examples where indexes even performs worst after implemented. The key is to understand a few of the basic properties of the index and implement the right things at the right time. In this module, I describe in detail how to do index optimizations and what are right and wrong with Index. If you are a DBA or developer, and if your application is running slow – this is must attend module for you. I have some really interesting stories to tell as well. Optimize Query with Rewrite Every problem has more than one solution, in this module we will see another very famous, but hard to master skills for performance tuning – Query Rewrite. There are few do’s and don’ts for any query rewrites. I take a very simple example and demonstrate how query rewrite can improve the performance of the query at many folds. I also share some real world funny stories in this module. This course is hosted at Pluralsight. You will need a valid login for Pluralsight to watch Play by Play: Pinal Dave course. You can also sign up for FREE Trial of Pluralsight to watch this course. As today is my birthday – I will give 10 people (randomly) who will express their desire to learn this course, a free code. Please leave your comment and I will send you free code to watch this course for free. Reference: Pinal Dave (http://blog.sqlauthority.com)Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQL Training, SQLAuthority News, T SQL, Video

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WordPress SEO Plugins to make your Blog Search Engine Friendly

- by Vaibhav

WordPress is the most common blogging system in use today and its use as a CMS is also wide spread. With hundreds of millions of sites using wordpress, getting correct SEO for your WordPress based Blog or Site is very important. We get regular queries from people who want Search Engine Optimisation for their site or blog which is made using wordpress. Here is a list of 16 of the best WordPress Plug-ins That can help you achieve better rankings: All in one SEO Pack This is most popular plugin among all SEO plugins for WordPress. It is easy to use and is compatible with most of the WordPress plugins. It works as a complete package of SEO plugin – automatically generating META tags and optimizing search engines for your titles and avoiding duplicate content. You can also include META tags manually (Met title, Meta description and Met keywords) for all pages and post in your website. HeadSpace2 HeasSpace2 is available in different languages , you can manage a wide range of SEO Tasks related with meta data, you can tag your posts, Custom descriptions and titles. So your page can rank the created relevancy on Search engines and you can load different settings for different pages. Platinum SEO plugin Automatic 301 redirects permalink changes, META tags generation, avoids duplicate content, and does SEO optimization of post and page titles and a lots of other features. TGFI.net SEO WordPress Plugin It’s a modified version of all-in-one SEO Pack. It has some unique feature over All-in-one SEO plugin, It generate titles, meta descriptions and meta keywords automatically when overrides are not present. Google XML Sitemaps Sitemaps Generated by this tool are supported by Google, Yahoo, Bing, and Ask. We all know Sitemaps make indexing of web pages easier for web crawlers. Crawlers can retrieve complete structure of site and more information by sitemaps. They notify all major search engines about new posts every time you create a new post. Sitemap Generator You can generate highly customizable sitemap for your WordPress page. You can choose what to show and what not to show, you can list the items in your choice of orde. It supports pages and permalinks and multi-level categories. SEO Slugs They can generate more search engine friendly URLs for your site. Slugs are filename assigned to your post , this plugin removes all common words like ‘a’, ‘the’, ‘in’, ‘what’, ‘you’ from slug which are assigned automatically to your post. SEO Post Links This is a similar plugin to SEO Slug, it removes unnecessary keywords from slug to make it short and SEO friendly and you can fix the number of characters in your post. Automatic SEO links With this tool you can create auto linking in your post. You can use this tool for inter linking or external linking too. Just select your words, anchor text target URL nature of links ( Do fallow / No follow ). This plugin will replace the matches found in post, WP Backlinks A helpful plugin for link exchange , whenever any webmaster submits a link for link exchange, the plugin will spider webmasters site for reciprocal link, and if everything is found good , your link will be exchanged. SEO Title Tag You can optimize your Title tags of Word press blog through this plugin . You can also override the title tag with custom titles , mass editing and title tags for 404 pages which are the main feature of this plugin. 404 SEO plugin With this Plugin you can customize 404 page of your site; you can give customized error message and links to relevant pages of your site. Redirection A powerful plugins to manage 301 redirection and logs related with redirection, with this plugin you can track 404 errors and track the log of all redirected URLs , this plugin can redirect post automatically when URL changes for that post. AddToAny This plugin helps your readers to share, save, email and bookmark your posts and pages. It supports more than a hundred social bookmarking , networking and sharing sites. SEO Friendly Images You can make SEO friendly images available on your site with the help of this tool. It updates images with proper titles and ALT tags. Robots Meta A plugin which prevents Search engines to index comments on your post, login and admin pages. It also allows to add tags for individual pages.

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How to find domain registrar and DNS hosting with good DNSSEC support?

- by rsp

Simplified problem I want to buy a domain and make a website that is fully secured with DNSSEC. Background I've been hearing about the insecurity of DNS for years. I've watched all of the talks by Dan Kaminsky and others from DNS exploits to The future of DNS Security Panel. I knew that using DNS without security is a disaster waiting to happen. I followed the development of the DNSSEC standard. I celebrated the key signing ceremony. Everything was on the right track to finally have a secure DNS system in place. And now more than 2 years later I wanted to just do what everyone said I should do: use DNSSEC for a new domain. So I need a domain registrar and a DNS hosting service that supports DNSSEC. Surprisingly it is not that easy to even find out who does support DNSSEC. It was actually much easier to find info on DNSSEC two years ago when everyone was going to support DNSSEC Real Soon Now but now years passed and I hardly see any progress done. I just hope that I was just looking in the wrong places and someone here will explain all of the doubts. I hope that other people who want to have a secure website will also find this question useful. What is needed registrar and DNS servers with full DNSSEC support for .com domains What is not needed IPv6 support Web hosting anything more What I found out so far Go Daddy offers Premium DNS service for additional $36 per year that lets you "Secure up to 5 domains with DNSSEC". easyDNS has DNSSEC available in Beta across all service levels (you need to enable the "beta" flag in configuration) but it doesn't seem to be production ready and judging from the lack of updates it isn't a feature of highest priority (the last update from March 2011 on the easyDNS blog). Name.com - according to The Register (US domain registrar does IPv6, DNSSEC) it has DNSSEC support since 2010 but right now (October 2012) I couldn't find anything related to DNSSEC on their website. Dynadot that is very often recommended doesn't support DNSSEC Namecheap that is also often recommended doesn't support DNSSEC. The support answer from 2011 suggested that it was being added but in 2012 still no ETA is given to customers. DynDNS was supposed to support DNSSEC, I found a link explaining DNSSEC support but it gives 404 Not Found page and offers a search box - when searching for DNSSEC I get "No results were found for your query." GKG was recommended online for DNSSEC support but it's hard to find any information on the level of DNSSEC support - there is a brief explanation on what is DNSSEC and how to sign Delegation Signer records in their FAQ but no information about the level of actual support can be found. Ask Slashdot: Which Registrars Support DNSSEC? from July 2011 - Answers list Go Daddy, DynDNS, GKG, Name.com as registrars that support DNSSEC but: see above. Related questions How to find web hosting that meets my requirements? What is needed to add DNSSEC to my site? DNS hosting better managed by Domain provider or Hosting provider? Registrar with good security, DNS hosting, and DNSSEC and IPv6 resolvers? In no. 1 no one is ever mentioning DNS at all. In no. 2 answers only mention the .se TLD, there are very few answers and they seem very outdated. In no. 3 one answer says "On projects that demand higher security, I might look for a web host that supports DNSSEC" but no more information is provided. The only relevant answers are in no. 4 where easyDNS is recommended by someone who has never used them personally. Meanwhile, as of October 2012, the support of DNSSEC is described as "in beta" on the easyDNS feature list. Another one recommends SiteGround but searching their site for DNSSEC returns no results. Other answers recommend web hosting providers that don't meet the requirement of DNSSEC support. Also the question mentioned above lists 9 very specific requirements other than only DNSSEC (like eg. HTTP-only login cookies, two-factor authentications, no DNS record limits, DNS statistics of queries/day, audit trails etc.) which might have excluded many possible recommendations if one is only interested in DNSSEC support. Conclusions I thought that by the end of 2012 the support of DNSSEC among domain registrars and DNS providers would be nearly universal. I am shocked that the support seems virtually nonexistent. Is this a result of some serious problems with the DNSSEC adoption? Or is it just not a hot topic and no one bothers anymore? According to the DNSSEC Scoreboard roughly about 0.1% of .com domains support DNSSEC. Could that be caused by the lack of DNSSEC support among registrars and DNS providers, is the information too hard to find or maybe no one cares? There is even no "dnssec" tag here. Questions The information is surprisingly hard to find. That is why I am asking for first-hand experience and personal recommendations. Has anyone here actually set up a website with DNSSEC, from the domain registration to the configuration of DNS servers? Can anyone recommend any of the registrars mentioned above? Can anyone recommend any registrar not mentioned above?

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MySQL Connector/Net 6.4.6 Maintenance Release has been released

- by fernando

MySQL Connector/Net 6.4.6, a new version of the all-managed .NET driver for MySQL has been released. This is a maintenance release and is recommended for use in production environments. It is appropriate for use with MySQL server versions 5.0-5.6. This is intended to be the final release for Connector/NET 6.4. It is now available in source and binary form from http://dev.mysql.com/downloads/connector/net/#downloads and mirror sites (note that not all mirror sites may be up to date at this point-if you can't find this version on some mirror, please try again later or choose another download site.) The 6.4.6 version of MySQL Connector/Net brings the following fixes: - Fix for List.Contains generates a bunch of ORs instead of more efficient IN clause in LINQ to Entities (Oracle bug #14016344, MySql bug #64934). - Fix for error when trying to change the name of an Index on the Indexes/Keys editor; along with this fix now users can change the Index type of a new Index which could not be done in previous versions, and when changing the Index name the change is reflected on the list view at the left side of the Index/Keys editor (Oracle bug #13613801). - Fix for stored procedure call using only its name with EF code first (MySql bug #64999, Oracle bug #14008699). - Fix for performance issue in generated EF query: .NET StartsWith/Contains/EndsWith produces MySql's locate instead of Like (MySql bug #64935, Oracle bug #14009363). - Fix for script generated for code first contains wrong alter table and wrong declaration for byte[] (MySql bug #64216, Oracle bug #13900091). - Fix for Exception thrown when using cascade delete in an EDM Model-First in Entity Framework (Oracle bug #14008752, MySql bug #64779). - Fix for Session locking issue with MySqlSessionStateStore (MySql bug #63997, Oracble bug #13733054). - Fixed deleting a user profile using Profile provider (MySQL bug #64409, Oracle bug #13790123). - Fix for bug Cannot Create an Entity with a Key of Type String (MySQL bug #65289, Oracle bug #14540202). This fix checks if the type has a FixedLength facet set in order to create a char otherwise should create varchar, mediumtext or longtext types when using a String CLR type in Code First or Model First also tested in Database First. Unit tests added for Code First and ProviderManifest. - Fix for bug "CacheServerProperties can cause 'Packet too large' error" (MySQL Bug #66578 Orabug #14593547). - Fix for handling unnamed parameter in MySQLCommand. This fix allows the mysqlcommand to handle parameters without requiring naming (e.g. INSERT INTO Test (id,name) VALUES (?, ?) ) (MySQL Bug #66060, Oracle bug #14499549). - Fixed inheritance on Entity Framework Code First scenarios. Discriminator column is created using its correct type as varchar(128) (MySql bug #63920 and Oracle bug #13582335). - Fixed "Trying to customize column precision in Code First does not work" (MySql bug #65001, Oracle bug #14469048). - Fixed bug ASP.NET Membership database fails on MySql database UTF32 (MySQL bug #65144, Oracle bug #14495292). - Fix for MySqlCommand.LastInsertedId holding only 32 bit values (MySql bug #65452, Oracle bug #14171960) by changing several internal declaration of lastinsertid from int to long. - Fixed "Decimal type should have digits at right of decimal point", now default is 2, but user's changes in EDM designer are recognized (MySql bug #65127, Oracle bug #14474342). - Fix for NullReferenceException when saving an uninitialized row in Entity Framework (MySql bug #66066, Oracle bug #14479715). - Fix for error when calling RoleProvider.RemoveUserFromRole(): causes an exception due to a wrong table being used (MySql bug #65805, Oracle bug #14405338). - Fix for "Memory Leak on MySql.Data.MySqlClient.MySqlCommand", too many MemoryStream's instances created (MySql bug #65696, Oracle bug #14468204). - Small improvement on MySqlPoolManager CleanIdleConnections for better mysqlpoolmanager idlecleanuptimer at startup (MySql bug #66472 and Oracle bug #14652624). - Fix for bug TIMESTAMP values are mistakenly represented as DateTime with Kind = Local (Mysql bug #66964, Oracle bug #14740705). - Fix for bug Keyword not supported. Parameter name: AttachDbFilename (Mysql bug #66880, Oracle bug #14733472). - Added support to MySql script file to retrieve data when using "SHOW" statements. - Fix for Package Load Failure in Visual Studio 2005 (MySql bug #63073, Oracle bug #13491674). - Fix for bug "Unable to connect using IPv6 connections" (MySQL bug #67253, Oracle bug #14835718). - Added auto-generated values for Guid identity columns (MySql bug #67450, Oracle bug #15834176). - Fix for method FirstOrDefault not supported in some LINQ to Entities queries (MySql bug #67377, Oracle bug #15856964). The release is available to download at http://dev.mysql.com/downloads/connector/net/6.4.html Documentation ------------------------------------- You can view current Connector/Net documentation at http://dev.mysql.com/doc/refman/5.5/en/connector-net.html You can find our team blog at http://blogs.oracle.com/MySQLOnWindows. You can also post questions on our forums at http://forums.mysql.com/. Enjoy and thanks for the support!

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Dynamic Data Connections

- by Tim Dexter

I have had a long running email thread running between Dan and David over at Valspar and myself. They have built some impressive connectivity between their in house apps and BIP using web services. The crux of their problem has been that they have multiple databases that need the same report executed against them. Not such an unusual request as I have spoken to two customers in the last month with the same situation. Of course, you could create a report against each data connection and just run or call the appropriate report. Not too bad if you have two or three data connections but more than that and it becomes a maintenance nightmare having to update queries or layouts. Ideally you want to have just a single report definition on the BIP server and to dynamically set the connection to be used at runtime based on the user or system that the user is in. A quick bit of digging and help from Shinji on the development team and I had an answer. Rather embarassingly, the solution has been around since the Oct 2010 rollup patch last year. Still, I grabbed the latest Jan 2011 patch - check out Note 797057.1 for the latest available patches. Once installed, I used the best web service testing tool I have yet to come across - SoapUI. Just point it at the WSDL and you can check out the available services and their parameters and then test them too. The XML packet has a new dynamic data source entry. You can set you own custom JDBC connection or just specify an existing data source name thats defined on the server. <pub:runReport> <pub:reportRequest> <pub:attributeFormat>xml</pub:attributeFormat> <pub:attributeTemplate>0</pub:attributeTemplate> <pub:byPassCache>true</pub:byPassCache> <pub:dynamicDataSource> <pub:JDBCDataSource> <pub:JDBCDriverClass></pub:JDBCDriverClass> <pub:JDBCDriverType></pub:JDBCDriverType> <pub:JDBCPassword></pub:JDBCPassword> <pub:JDBCURL></pub:JDBCURL> <pub:JDBCUserName></pub:JDBCUserName> <pub:dataSourceName>Conn1</pub:dataSourceName> </pub:JDBCDataSource> </pub:dynamicDataSource> <pub:reportAbsolutePath>/Test/Employee Report/Employee Report.xdo</pub:reportAbsolutePath> </pub:reportRequest> <pub:userID>Administrator</pub:userID> <pub:password>Administrator</pub:password> </pub:runReport> So I have Conn1 and Conn2 defined that are connections to different databases. I can just flip the name, make the WS call and get the appropriate dataset in my report. Just as an example, here's my web service call java code. Just a case of bringing in the BIP java libs to my java project. publicReportServiceService = new PublicReportServiceService(); PublicReportService publicReportService = publicReportServiceService.getPublicReportService_v11(); String userID = "Administrator"; String password = "Administrator"; ReportRequest rr = new ReportRequest(); rr.setAttributeFormat("xml"); rr.setAttributeTemplate("1"); rr.setByPassCache(true); rr.setReportAbsolutePath("/Test/Employee Report/Employee Report.xdo"); rr.setReportOutputPath("c:\\temp\\output.xml"); BIPDataSource bipds = new BIPDataSource(); JDBCDataSource jds = new JDBCDataSource(); jds.setDataSourceName("Conn1"); bipds.setJDBCDataSource(jds); rr.setDynamicDataSource(bipds); try { publicReportService.runReport(rr, userID, password); } catch (InvalidParametersException e) { e.printStackTrace(); } catch (AccessDeniedException e) { e.printStackTrace(); } catch (OperationFailedException e) { e.printStackTrace(); } } Note, Im no java whiz kid or whizzy old bloke, at least not unless Ive had a coffee. JDeveloper has a nice feature where you point it at the WSDL and it creates everything to support your calling code for you. Couple of things to remember: 1. When you call the service, remember to set the bypass the cache option. Forget it and much scratching of your head and taking my name in vain will ensue. 2. My demo actually hit the same database but used two users, one accessed the base tables another views with the same name. For far too long I thought the connection swapping was not working. I was getting the same results for both users until I realized I was specifying the schema name for the table/view in my query e.g. select * from EMP.EMPLOYEES. So remember to have a generic query that will depend entirely on the connection. Its a neat feature if you want to be able to switch connections and only define a single report and call it remotely. Now if you want the connection to be set dynamically based on the user and the report run via the user interface, thats going to be more tricky ... need to think about that one!

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SQL SERVER – Simple Example to Configure Resource Governor – Introduction to Resource Governor

- by pinaldave

Let us jump right away with question and answer mode. What is resource governor? Resource Governor is a feature which can manage SQL Server Workload and System Resource Consumption. We can limit the amount of CPU and memory consumption by limiting /governing /throttling on the SQL Server. Why is resource governor required? If there are different workloads running on SQL Server and each of the workload needs different resources or when workloads are competing for resources with each other and affecting the performance of the whole server resource governor is a very important task. What will be the real world example of need of resource governor? Here are two simple scenarios where the resource governor can be very useful. Scenario 1: A server which is running OLTP workload and various resource intensive reports on the same server. The ideal situation is where there are two servers which are data synced with each other and one server runs OLTP transactions and the second server runs all the resource intensive reports. However, not everybody has the luxury to set up this kind of environment. In case of the situation where reports and OLTP transactions are running on the same server, limiting the resources to the reporting workload it can be ensured that OTLP’s critical transaction is not throttled. Scenario 2: There are two DBAs in one organization. One DBA A runs critical queries for business and another DBA B is doing maintenance of the database. At any point in time the DBA A’s work should not be affected but at the same time DBA B should be allowed to work as well. The ideal situation is that when DBA B starts working he get some resources but he can’t get more than defined resources. Does SQL Server have any default resource governor component? Yes, SQL Server have two by default created resource governor component. 1) Internal –This is used by database engine exclusives and user have no control. 2) Default – This is used by all the workloads which are not assigned to any other group. What are the major components of the resource governor? Resource Pools Workload Groups Classification In simple words here is what the process of resource governor is. Create resource pool Create a workload group Create classification function based on the criteria specified Enable Resource Governor with classification function Let me further explain you the same with graphical image. Is it possible to configure resource governor with T-SQL? Yes, here is the code for it with explanation in between. Step 0: Here we are assuming that there are separate login accounts for Reporting server and OLTP server. /*----------------------------------------------- Step 0: (Optional and for Demo Purpose) Create Two User Logins 1) ReportUser, 2) PrimaryUser Use ReportUser login for Reports workload Use PrimaryUser login for OLTP workload -----------------------------------------------*/ Step 1: Creating Resource Pool We are creating two resource pools. 1) Report Server and 2) Primary OLTP Server. We are giving only a few resources to the Report Server Pool as described in the scenario 1 the other server is mission critical and not the report server. ----------------------------------------------- -- Step 1: Create Resource Pool ----------------------------------------------- -- Creating Resource Pool for Report Server CREATE RESOURCE POOL ReportServerPool WITH ( MIN_CPU_PERCENT=0, MAX_CPU_PERCENT=30, MIN_MEMORY_PERCENT=0, MAX_MEMORY_PERCENT=30) GO -- Creating Resource Pool for OLTP Primary Server CREATE RESOURCE POOL PrimaryServerPool WITH ( MIN_CPU_PERCENT=50, MAX_CPU_PERCENT=100, MIN_MEMORY_PERCENT=50, MAX_MEMORY_PERCENT=100) GO Step 2: Creating Workload Group We are creating two workloads each mapping to each of the resource pool which we have just created. ----------------------------------------------- -- Step 2: Create Workload Group ----------------------------------------------- -- Creating Workload Group for Report Server CREATE WORKLOAD GROUP ReportServerGroup USING ReportServerPool ; GO -- Creating Workload Group for OLTP Primary Server CREATE WORKLOAD GROUP PrimaryServerGroup USING PrimaryServerPool ; GO Step 3: Creating user defiled function which routes the workload to the appropriate workload group. In this example we are checking SUSER_NAME() and making the decision of Workgroup selection. We can use other functions such as HOST_NAME(), APP_NAME(), IS_MEMBER() etc. ----------------------------------------------- -- Step 3: Create UDF to Route Workload Group ----------------------------------------------- CREATE FUNCTION dbo.UDFClassifier() RETURNS SYSNAME WITH SCHEMABINDING AS BEGIN DECLARE @WorkloadGroup AS SYSNAME IF(SUSER_NAME() = 'ReportUser') SET @WorkloadGroup = 'ReportServerGroup' ELSE IF (SUSER_NAME() = 'PrimaryServerPool') SET @WorkloadGroup = 'PrimaryServerGroup' ELSE SET @WorkloadGroup = 'default' RETURN @WorkloadGroup END GO Step 4: In this final step we enable the resource governor with the classifier function created in earlier step 3. ----------------------------------------------- -- Step 4: Enable Resource Governer -- with UDFClassifier ----------------------------------------------- ALTER RESOURCE GOVERNOR WITH (CLASSIFIER_FUNCTION=dbo.UDFClassifier); GO ALTER RESOURCE GOVERNOR RECONFIGURE GO Step 5: If you are following this demo and want to clean up your example, you should run following script. Running them will disable your resource governor as well delete all the objects created so far. ----------------------------------------------- -- Step 5: Clean Up -- Run only if you want to clean up everything ----------------------------------------------- ALTER RESOURCE GOVERNOR WITH (CLASSIFIER_FUNCTION = NULL) GO ALTER RESOURCE GOVERNOR DISABLE GO DROP FUNCTION dbo.UDFClassifier GO DROP WORKLOAD GROUP ReportServerGroup GO DROP WORKLOAD GROUP PrimaryServerGroup GO DROP RESOURCE POOL ReportServerPool GO DROP RESOURCE POOL PrimaryServerPool GO ALTER RESOURCE GOVERNOR RECONFIGURE GO I hope this introductory example give enough light on the subject of Resource Governor. In future posts we will take this same example and learn a few more details. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology Tagged: Resource Governor

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