Search Results

Search found 31891 results on 1276 pages for 'database schema'.

Page 409/1276 | < Previous Page | 405 406 407 408 409 410 411 412 413 414 415 416  | Next Page >

• Awesome new feature for HCC

  - by Steve Tunstall

  I've talked about HCC (Hybrid Columnar Compression) before. This is Oracle's built-in compression feature, free of charge in 11Gr2, that allows a CRAZY amount of compression on historical data inside an Oracle database. It only works if the database is being stored in a ZFSSA, Exadata or Axiom. You can read all about it in this whitepaper, which shows the huge value of HCC when used with the ZFSSA. http://www.oracle.com/technetwork/articles/servers-storage-admin/perf-hybrid-columnar-compression-1689701.html Now, even better, Oracle has announced  a great new feature in Oracle 12c called "Automatic Data Optimization". This allows one to setup HCC to AUTOMATICALLY compress data AS IT AGES.  So this is now ILM all built into the Oracle database. It's free for crying out loud. It just needs to be sitting on Oracle storage, such as the ZFSSA, Exadata or Axiom.  Read about ADO here: http://www.oracle.com/technetwork/database/automatic-data-optimization-wp-12c-1896120.pdf?ssSourceSiteId=ocomen

  Read the article

• SQL SERVER – Weekly Series – Memory Lane – #039

  - by Pinal Dave

  Here is the list of selected articles of SQLAuthority.com across all these years. Instead of just listing all the articles I have selected a few of my most favorite articles and have listed them here with additional notes below it. Let me know which one of the following is your favorite article from memory lane. 2007 FQL – Facebook Query Language Facebook list following advantages of FQL: Condensed XML reduces bandwidth and parsing costs. More complex requests can reduce the number of requests necessary. Provides a single consistent, unified interface for all of your data. It’s fun! UDF – Get the Day of the Week Function The day of the week can be retrieved in SQL Server by using the DatePart function. The value returned by the function is between 1 (Sunday) and 7 (Saturday). To convert this to a string representing the day of the week, use a CASE statement. UDF – Function to Get Previous And Next Work Day – Exclude Saturday and Sunday While reading ColdFusion blog of Ben Nadel Getting the Previous Day In ColdFusion, Excluding Saturday And Sunday, I realize that I use similar function on my SQL Server Database. This function excludes the Weekends (Saturday and Sunday), and it gets previous as well as next work day. Complete Series of SQL Server Interview Questions and Answers Data Warehousing Interview Questions and Answers – Introduction Data Warehousing Interview Questions and Answers – Part 1 Data Warehousing Interview Questions and Answers – Part 2 Data Warehousing Interview Questions and Answers – Part 3 Data Warehousing Interview Questions and Answers Complete List Download 2008 Introduction to Log Viewer In SQL Server all the windows event logs can be seen along with SQL Server logs. Interface for all the logs is same and can be launched from the same place. This log can be exported and filtered as well. DBCC SHRINKFILE Takes Long Time to Run If you are DBA who are involved with Database Maintenance and file group maintenance, you must have experience that many times DBCC SHRINKFILE operations takes a long time but any other operations with Database are relatively quicker. mssqlsystemresource – Resource Database The purpose of resource database is to facilitates upgrading to the new version of SQL Server without any hassle. In previous versions whenever version of SQL Server was upgraded all the previous version system objects needs to be dropped and new version system objects to be created. 2009 Puzzle – Write Script to Generate Primary Key and Foreign Key In SQL Server Management Studio (SSMS), there is no option to script all the keys. If one is required to script keys they will have to manually script each key one at a time. If database has many tables, generating one key at a time can be a very intricate task. I want to throw a question to all of you if any of you have scripts for the same purpose. Maximizing View of SQL Server Management Studio – Full Screen – New Screen I had explained the following two different methods: 1) Open Results in Separate Tab - This is a very interesting method as result pan shows up in a different tab instead of the splitting screen horizontally. 2) Open SSMS in Full Screen - This works always and to its best. Not many people are aware of this method; hence, very few people use it to enhance performance. 2010 Find Queries using Parallelism from Cached Plan T-SQL script gets all the queries and their execution plan where parallelism operations are kicked up. Pay attention there is TOP 10 is used, if you have lots of transactional operations, I suggest that you change TOP 10 to TOP 50 This is the list of the all the articles in the series of computed columns. SQL SERVER – Computed Column – PERSISTED and Storage This article talks about how computed columns are created and why they take more storage space than before. SQL SERVER – Computed Column – PERSISTED and Performance This article talks about how PERSISTED columns give better performance than non-persisted columns. SQL SERVER – Computed Column – PERSISTED and Performance – Part 2 This article talks about how non-persisted columns give better performance than PERSISTED columns. SQL SERVER – Computed Column and Performance – Part 3 This article talks about how Index improves the performance of Computed Columns. SQL SERVER – Computed Column – PERSISTED and Storage – Part 2 This article talks about how creating index on computed column does not grow the row length of table. SQL SERVER – Computed Columns – Index and Performance This article summarized all the articles related to computed columns. 2011 SQL SERVER – Interview Questions and Answers – Frequently Asked Questions – Data Warehousing Concepts – Day 21 of 31 What is Data Warehousing? What is Business Intelligence (BI)? What is a Dimension Table? What is Dimensional Modeling? What is a Fact Table? What are the Fundamental Stages of Data Warehousing? What are the Different Methods of Loading Dimension tables? Describes the Foreign Key Columns in Fact Table and Dimension Table? What is Data Mining? What is the Difference between a View and a Materialized View? SQL SERVER – Interview Questions and Answers – Frequently Asked Questions – Data Warehousing Concepts – Day 22 of 31 What is OLTP? What is OLAP? What is the Difference between OLTP and OLAP? What is ODS? What is ER Diagram? SQL SERVER – Interview Questions and Answers – Frequently Asked Questions – Data Warehousing Concepts – Day 23 of 31 What is ETL? What is VLDB? Is OLTP Database is Design Optimal for Data Warehouse? If denormalizing improves Data Warehouse Processes, then why is the Fact Table is in the Normal Form? What are Lookup Tables? What are Aggregate Tables? What is Real-Time Data-Warehousing? What are Conformed Dimensions? What is a Conformed Fact? How do you Load the Time Dimension? What is a Level of Granularity of a Fact Table? What are Non-Additive Facts? What is a Factless Facts Table? What are Slowly Changing Dimensions (SCD)? SQL SERVER – Interview Questions and Answers – Frequently Asked Questions – Data Warehousing Concepts – Day 24 of 31 What is Hybrid Slowly Changing Dimension? What is BUS Schema? What is a Star Schema? What Snow Flake Schema? Differences between the Star and Snowflake Schema? What is Difference between ER Modeling and Dimensional Modeling? What is Degenerate Dimension Table? Why is Data Modeling Important? What is a Surrogate Key? What is Junk Dimension? What is a Data Mart? What is the Difference between OLAP and Data Warehouse? What is a Cube and Linked Cube with Reference to Data Warehouse? What is Snapshot with Reference to Data Warehouse? What is Active Data Warehousing? What is the Difference between Data Warehousing and Business Intelligence? What is MDS? Explain the Paradigm of Bill Inmon and Ralph Kimball. SQL SERVER – Azure Interview Questions and Answers – Guest Post by Paras Doshi – Day 25 of 31 Paras Doshi has submitted 21 interesting question and answers for SQL Azure. 1.What is SQL Azure? 2.What is cloud computing? 3.How is SQL Azure different than SQL server? 4.How many replicas are maintained for each SQL Azure database? 5.How can we migrate from SQL server to SQL Azure? 6.Which tools are available to manage SQL Azure databases and servers? 7.Tell me something about security and SQL Azure. 8.What is SQL Azure Firewall? 9.What is the difference between web edition and business edition? 10.How do we synchronize On Premise SQL server with SQL Azure? 11.How do we Backup SQL Azure Data? 12.What is the current pricing model of SQL Azure? 13.What is the current limitation of the size of SQL Azure DB? 14.How do you handle datasets larger than 50 GB? 15.What happens when the SQL Azure database reaches Max Size? 16.How many databases can we create in a single server? 17.How many servers can we create in a single subscription? 18.How do you improve the performance of a SQL Azure Database? 19.What is code near application topology? 20.What were the latest updates to SQL Azure service? 21.When does a workload on SQL Azure get throttled? SQL SERVER – Interview Questions and Answers – Guest Post by Malathi Mahadevan – Day 26 of 31 Malachi had asked a simple question which has several answers. Each answer makes you think and ponder about the reality of the IT world. Look at the simple question – ‘What is the toughest challenge you have faced in your present job and how did you handle it’? and its various answers. Each answer has its own story. SQL SERVER – Interview Questions and Answers – Guest Post by Rick Morelan – Day 27 of 31 Rick Morelan of Joes2Pros has written an excellent blog post on the subject how to find top N values. Most people are fully aware of how the TOP keyword works with a SELECT statement. After years preparing so many students to pass the SQL Certification I noticed they were pretty well prepared for job interviews too. Yes, they would do well in the interview but not great. There seemed to be a few questions that would come up repeatedly for almost everyone. Rick addresses similar questions in his lucid writing skills. 2012 Observation of Top with Index and Order of Resultset SQL Server has lots of things to learn and share. It is amazing to see how people evaluate and understand different techniques and styles differently when implementing. The real reason may be absolutely different but we may blame something totally different for the incorrect results. Read the blog post to learn more. How do I Record Video and Webcast How to Convert Hex to Decimal or INT Earlier I asked regarding a question about how to convert Hex to Decimal. I promised that I will post an answer with Due Credit to the author but never got around to post a blog post around it. Read the original post over here SQL SERVER – Question – How to Convert Hex to Decimal. Query to Get Unique Distinct Data Based on Condition – Eliminate Duplicate Data from Resultset The natural reaction will be to suggest DISTINCT or GROUP BY. However, not all the questions can be solved by DISTINCT or GROUP BY. Let us see the following example, where a user wanted only latest records to be displayed. Let us see the example to understand further. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Memory Lane, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

  Read the article

• New licensing for SQL Server 2012 and #BISM #Tabular usage

  - by Marco Russo (SQLBI)

  Last week Microsoft announced a new licensing schema for SQL Server 2012. If you are interested in an extensive discussion of the new licensing scheme, Denny Cherry wrote a great blog post about that. I’d like to comment about the new BI Edition license. Teo Lachev already commented about the numbers and I agree with him. I generally like the new licensing mode of SQL 2012. It maintains a very low-entry barrier for SSRS/SSAS/SSIS (Standard Edition). It has a reasonable licensing schema for 20-50...(read more)

  Read the article

• VB.NET Class Library: DBIO dBase

  A plug-in database I/O layer for dBase databases with automatic SQL statements

  Read the article

• SQL Azure Pricing

  - by kaleidoscope

  Microsoft’s pricing for SQL Server in the cloud, SQLAzure has been announced: $9.99   per month for 0 – 1GB $99.99 per month up to 10GB. There’s currently a 10GB maximum size cap for SQLAzure. For larger data storage needs, you’ll need to break the databases into smaller sizes. Scaling SQL Azure Applications If you think you’re going to need 100GB in the near term, it probably makes sense to break your application up into multiple separate databases from the get-go (10 x $9.99 = $99.99 anyway) and just make really sure none of the individual databases exceed 10GB. Beep Beep, Back That Database Up The bandwidth costs for SQL Azure are $.15 per GB of outbound bandwidth.  Assuming that you don’t compress the data before you pull it out of the cloud, that means daily backups of a 1GB database will add another $4.50 per month, and a 10GB database will add another $45/month.  Daily backups will cost about half of what your monthly service charges cost. It’s not completely clear from the press release, but if Microsoft follows Amazon’s pricing model, bandwidth between the Microsoft cloud services will not incur a cost.  That would mean it might make sense to spin up an Windows Azure computing application for $.12 per hour, use that application to compress your SQL Azure database, and then send the compressed data off to Azure storage for backup.  That would eliminate the data in/out costs, and minimize the Azure storage costs ($.15/GB).  Database administrators would back up their SQL Azure data to Azure Storage, keep a history of backups there, and restore them to SQL Azure faster when needed. Of course, there’s no native backup support in SQL Azure, and it’s not clear whether Windows Azure will include tools like SQL Server Integration Services. More details can be found at http://www.brentozar.com/archive/2009/07/sql-azure-pricing-10-for-1gb-100-for-10gb/   Anish, S

  Read the article

• Best development architecture for a small team of programmers ( WAMP Stack )

  - by Tio

  Hi all.. I'm in the first month of work in a new company.. and after I met the two programmer's and asked how things are organized in terms of projects inside the company, they simply shrug their shoulders, and said that nothing is organized.. I think my jaw hit the ground that same time.. ( I know some, of you think I should quit, but I'm on a privileged position, I'm the most experienced there, so there's room for me to grow inside the company, and I'm taking the high road ).. So I talked to the IT guy, and one of the programmers, and maybe this week I'm going to get a server all to myself to start organizing things. I've used various architectures in my previous work experiences, on one I was developing in a server on the network ( no source control of course ).. another experience I had was developing in my local computer, with no server on the network, just source control. And at home, I have a mix of the two, everything I code is on a server on the network, and I have those folders under source control, and I also have a no-ip account configured on that server so I can access it everywhere and I can show the clients anything. For me I think this last solution ( the one I have at home ) is the best: Network server with WAMP stack. The server as a public IP so we can access it by domain name. And use subdomains for each project. Everybody works directly on the network server. I think the problem arises, when two or more people want to work on the same project, in this case the only way to do this is by using source control and local repositories, this is great, but I think this turns development a lot more complicated. In the example I gave, to make a change to the code, I would simply need to open the file in my favorite editor, make the change, alter the database, check in the changes into source control and presto all done. Using local repositories, I would have to get the latest version, run the scripts on the local database to update it, alter the file, alter the database, check in the changes to the network server, update the database on the network server, see if everything is running well on the network server, and presto all done, to me this seems overcomplicated for a change on a simple php page. I could share the database for the local development and for the network server, that sure would help. Maybe the best way to do this is just simply: Network server with WAMP stack ( test server so to speak ), public server accessible trough the web. LAMP stack on every developer computer ( minus the database ) We develop locally, test, then check in the changes into the server test and presto. What do you think? Maybe I should start doing this at home.. Thanks and best regards... Edit: I'm sorry I made a mistake and switched WAMP with LAMP, sorry about that..

  Read the article

• NHibernate Pitfalls: Loading Foreign Key Properties

  - by Ricardo Peres

  This is part of a series of posts about NHibernate Pitfalls. See the entire collection here. When saving a new entity that has references to other entities (one to one, many to one), one has two options for setting their values: Load each of these references by calling ISession.Get and passing the foreign key; Load a proxy instead, by calling ISession.Load with the foreign key. So, what is the difference? Well, ISession.Get goes to the database and tries to retrieve the record with the given key, returning null if no record is found. ISession.Load, on the other hand, just returns a proxy to that record, without going to the database. This turns out to be a better option, because we really don’t need to retrieve the record – and all of its non-lazy properties and collections -, we just need its key. An example: 1: //going to the database 2: OrderDetail od = new OrderDetail(); 3: od.Product = session.Get<Product>(1); //a product is retrieved from the database 4: od.Order = session.Get<Order>(2); //an order is retrieved from the database 5:  6: session.Save(od); 7:  8: //creating in-memory proxies 9: OrderDetail od = new OrderDetail(); 10: od.Product = session.Load<Product>(1); //a proxy to a product is created 11: od.Order = session.Load<Order>(2); //a proxy to an order is created 12:  13: session.Save(od); So, if you just need to set a foreign key, use ISession.Load instead of ISession.Get.

  Read the article

• Upgrade 11g szeminárium

  - by Lajos Sárecz

  Június 9-én az Oracle Database 11g Upgrade-rol szóló szemináriumot tartunk Mike Dietrich közremuködésével Budapesten! Ha valaki nem ismerné még Mike-ot és Oracle Database upgrade-et tervez, akkor épp itt az ideje hogy megismerje. Erre pedig kiváló alkalom a rendezvény június 9-én, Mike ugyanis az Oracle legfobb upgrade szakértoje. Számos upgrade szemináriumot tart, és nem utolsó sorban van egy kiváló blogja errol a témáról: http://blogs.oracle.com/UPGRADE/ Az esemény fókuszában az upgrade tippek&trükkök bemutatása, valamint az upgrade közben felmerülo buktatók elkerülésének ismertetése lesz. A szeminárium során áttekintést adunk az Oracle Database 11gR2 upgrade folyamatáról és a szükséges elokészíto lépésekrol. A nap során tárgyalni fogjuk a minimális állásidovel végrehajtható upgrade stratégiákat, és kiemelten foglalkozunk majd a teljesítmény hangolás módjával, felhasználva az SQL Plan Management-et és a Real Application Testing két funkcióját: az SQL Performance Analyzer-t, illetve a Database Replay-t. Befejezésként néhány ügyfél tapasztalatait fogjuk megosztani Önökkel. Helyszín a Ramada Plaza Budapest lesz, ahol minden kedves ügyfelünket és partnerünket sok szeretettel várunk. Regisztrálni a rendezvény weboldalán lehetséges.

  Read the article

• Performance problems loading XML with SSIS, an alternative way!

  - by AtulThakor

  I recently needed to load several thousand XML files into a SQL database, I created an SSIS package which was created as followed: Using a foreach container to loop through a directory and load each file path into a variable, the “Import XML” dataflow would then load each XML file into a SQL table.       Running this, it took approximately 1 second to load each file which seemed a massive amount of time to parse the XML and load the data, speaking to my colleague Martin Croft, he suggested the use of T-SQL Bulk Insert and OpenRowset, so we adjusted the package as followed:     The same foreach container was used but instead the following SQL command was executed (this is an expression):     "INSERT INTO MyTable(FileDate) SELECT   CAST(bulkcolumn AS XML)     FROM OPENROWSET(         BULK         '" + @[User::CurrentFile]  + "',         SINGLE_BLOB ) AS x"     Using this method we managed to load approximately 20 records per second, much faster…for data loading! For what we wanted to achieve this was perfect but I’ll leave you with the following points when making your own decision on which solution you decide to choose!      Openrowset Method Much faster to get the data into SQL You’ll need to parse or create a view over the XML data to allow the data to be more usable(another post on this!) Not able to apply validation/transformation against the data when loading it The SQL Server service account will need permission to the file No schema validation when loading files SSIS Slower (in our case) Schema validation Allows you to apply transformations/joins to the data Permissions should be less of a problem Data can be loaded into the final form through the package When using a schema validation errors can fail the package (I’ll do another post on this)

  Read the article

• R Package Installation with Oracle R Enterprise

  - by Sherry LaMonica-Oracle

  Normal 0 false false false EN-US X-NONE X-NONE Programming languages give developers the opportunity to write reusable functions and to bundle those functions into logical deployable entities. In R, these are called packages. R has thousands of such packages provided by an almost equally large group of third-party contributors. To allow others to benefit from these packages, users can share packages on the CRAN system for use by the vast R development community worldwide. R's package system along with the CRAN framework provides a process for authoring, documenting and distributing packages to millions of users. In this post, we'll illustrate the various ways in which such R packages can be installed for use with R and together with Oracle R Enterprise. In the following, the same instructions apply when using either open source R or Oracle R Distribution. In this post, we cover the following package installation scenarios for: R command line Linux shell command line Use with Oracle R Enterprise Installation on Exadata or RAC Installing all packages in a CRAN Task View Troubleshooting common errors 1. R Package Installation BasicsR package installation basics are outlined in Chapter 6 of the R Installation and Administration Guide. There are two ways to install packages from the command line: from the R command line and from the shell command line. For this first example on Oracle Linux using Oracle R Distribution, we’ll install the arules package as root so that packages will be installed in the default R system-wide location where all users can access it, /usr/lib64/R/library.Within R, using the install.packages function always attempts to install the latest version of the requested package available on CRAN:R> install.packages("arules")If the arules package depends upon other packages that are not already installed locally, the R installer automatically downloads and installs those required packages. This is a huge benefit that frees users from the task of identifying and resolving those dependencies.You can also install R from the shell command line. This is useful for some packages when an internet connection is not available or for installing packages not uploaded to CRAN. To install packages this way, first locate the package on CRAN and then download the package source to your local machine. For example:$ wget http://cran.r-project.org/src/contrib/arules_1.1-2.tar.gz Then, install the package using the command R CMD INSTALL:$ R CMD INSTALL arules_1.1-2.tar.gzA major difference between installing R packages using the R package installer at the R command line and shell command line is that package dependencies must be resolved manually at the shell command line. Package dependencies are listed in the Depends section of the package’s CRAN site. If dependencies are not identified and installed prior to the package’s installation, you will see an error similar to:ERROR: dependency ‘xxx’ is not available for package ‘yyy’As a best practice and to save time, always refer to the package’s CRAN site to understand the package dependencies prior to attempting an installation. If you don’t run R as root, you won’t have permission to write packages into the default system-wide location and you will be prompted to create a personal library accessible by your userid. You can accept the personal library path chosen by R, or specify the library location by passing parameters to the install.packages function. For example, to create an R package repository in your home directory: R> install.packages("arules", lib="/home/username/Rpackages")or$ R CMD INSTALL arules_1.1-2.tar.gz --library=/home/username/RpackagesRefer to the install.packages help file in R or execute R CMD INSTALL --help at the shell command line for a full list of command line options.To set the library location and avoid having to specify this at every package install, simply create the R startup environment file .Renviron in your home area if it does not already exist, and add the following piece of code to it:R_LIBS_USER = "/home/username/Rpackages" 2. Setting the RepositoryEach time you install an R package from the R command line, you are asked which CRAN mirror, or server, R should use. To set the repository and avoid having to specify this during every package installation, create the R startup command file .Rprofile in your home directory and add the following R code to it:cat("Setting Seattle repository")r = getOption("repos") r["CRAN"] = "http://cran.fhcrc.org/"options(repos = r)rm(r) This code snippet sets the R package repository to the Seattle CRAN mirror at the start of each R session. 3. Installing R Packages for use with Oracle R EnterpriseEmbedded R execution with Oracle R Enterprise allows the use of CRAN or other third-party R packages in user-defined R functions executed on the Oracle Database server. The steps for installing and configuring packages for use with Oracle R Enterprise are the same as for open source R. The database-side R engine just needs to know where to find the R packages.The Oracle R Enterprise installation is performed by user oracle, which typically does not have write permission to the default site-wide library, /usr/lib64/R/library. On Linux and UNIX platforms, the Oracle R Enterprise Server installation provides the ORE script, which is executed from the operating system shell to install R packages and to start R. The ORE script is a wrapper for the default R script, a shell wrapper for the R executable. It can be used to start R, run batch scripts, and build or install R packages. Unlike the default R script, the ORE script installs packages to a location writable by user oracle and accessible by all ORE users - $ORACLE_HOME/R/library.To install a package on the database server so that it can be used by any R user and for use in embedded R execution, an Oracle DBA would typically download the package source from CRAN using wget. If the package depends on any packages that are not in the R distribution in use, download the sources for those packages, also.  For a single Oracle Database instance, replace the R script with ORE to install the packages in the same location as the Oracle R Enterprise packages. $ wget http://cran.r-project.org/src/contrib/arules_1.1-2.tar.gz$ ORE CMD INSTALL arules_1.1-2.tar.gzBehind the scenes, the ORE script performs the equivalent of setting R_LIBS_USER to the value of $ORACLE_HOME/R/library, and all R packages installed with the ORE script are installed to this location. For installing a package on multiple database servers, such as those in an Oracle Real Application Clusters (Oracle RAC) or a multinode Oracle Exadata Database Machine environment, use the ORE script in conjunction with the Exadata Distributed Command Line Interface (DCLI) utility.$ dcli -g nodes -l oracle ORE CMD INSTALL arules_1.1-1.tar.gz The DCLI -g flag designates a file containing a list of nodes to install on, and the -l flag specifies the user id to use when executing the commands. For more information on using DCLI with Oracle R Enterprise, see Chapter 5 in the Oracle R Enterprise Installation Guide.If you are using an Oracle R Enterprise client, install the package the same as any R package, bearing in mind that you must install the same version of the package on both the client and server machines to avoid incompatibilities. 4. CRAN Task ViewsCRAN also maintains a set of Task Views that identify packages associated with a particular task or methodology. Task Views are helpful in guiding users through the huge set of available R packages. They are actively maintained by volunteers who include detailed annotations for routines and packages. If you find one of the task views is a perfect match, you can install every package in that view using the ctv package - an R package for automating package installation. To use the ctv package to install a task view, first, install and load the ctv package.R> install.packages("ctv")R> library(ctv)Then query the names of the available task views and install the view you choose.R> available.views() R> install.views("TimeSeries") 5. Using and Managing R packages To use a package, start up R and load packages one at a time with the library command.Load the arules package in your R session. R> library(arules)Verify the version of arules installed.R> packageVersion("arules")[1] '1.1.2'Verify the version of arules installed on the database server using embedded R execution.R> ore.doEval(function() packageVersion("arules"))View the help file for the apropos function in the arules packageR> ?aproposOver time, your package repository will contain more and more packages, especially if you are using the system-wide repository where others are adding additional packages. It’s good to know the entire set of R packages accessible in your environment. To list all available packages in your local R session, use the installed.packages command:R> myLocalPackages <- row.names(installed.packages())R> myLocalPackagesTo access the list of available packages on the ORE database server from the ORE client, use the following embedded R syntax: R> myServerPackages <- ore.doEval(function() row.names(installed.packages()) R> myServerPackages 6. Troubleshooting Common ProblemsInstalling Older Versions of R packagesIf you immediately upgrade to the latest version of R, you will have no problem installing the most recent versions of R packages. However, if your version of R is older, some of the more recent package releases will not work and install.packages will generate a message such as: Warning message: In install.packages("arules") : package ‘arules’ is not availableThis is when you have to go to the Old sources link on the CRAN page for the arules package and determine which version is compatible with your version of R.Begin by determining what version of R you are using:$ R --versionOracle Distribution of R version 3.0.1 (--) -- "Good Sport" Copyright (C) The R Foundation for Statistical Computing Platform: x86_64-unknown-linux-gnu (64-bit)Given that R-3.0.1 was released May 16, 2013, any version of the arules package released after this date may work. Scanning the arules archive, we might try installing version 0.1.1-1, released in January of 2014:$ wget http://cran.r-project.org/src/contrib/Archive/arules/arules_1.1-1.tar.gz$ R CMD INSTALL arules_1.1-1.tar.gzFor use with ORE:$ ORE CMD INSTALL arules_1.1-1.tar.gzThe "package not available" error can also be thrown if the package you’re trying to install lives elsewhere, either another R package site, or it’s been removed from CRAN. A quick Google search usually leads to more information on the package’s location and status.Oracle R Enterprise is not in the R library pathOn Linux hosts, after installing the ORE server components, starting R, and attempting to load the ORE packages, you may receive the error:R> library(ORE)Error in library(ORE) : there is no package called ‘ORE’If you know the ORE packages have been installed and you receive this error, this is the result of not starting R with the ORE script. To resolve this problem, exit R and restart using the ORE script. After restarting R and ">running the command to load the ORE packages, you should not receive any errors.$ ORER> library(ORE)On Windows servers, the solution is to make the location of the ORE packages visible to R by adding them to the R library paths. To accomplish this, exit R, then add the following lines to the .Rprofile file. On Windows, the .Rprofile file is located in R\etc directory C:\Program Files\R\R-<version>\etc. Add the following lines:.libPaths("<path to $ORACLE_HOME>/R/library")The above line will tell R to include the R directory in the Oracle home as part of its search path. When you start R, the path above will be included, and future R package installations will also be saved to $ORACLE_HOME/R/library. This path should be writable by the user oracle, or the userid for the DBA tasked with installing R packages.Binary package compiled with different version of RBy default, R will install pre-compiled versions of packages if they are found. If the version of R under which the package was compiled does not match your installed version of R you will get an error message:Warning message: package ‘xxx’ was built under R version 3.0.0The solution is to download the package source and build it for your version of R.$ wget http://cran.r-project.org/src/contrib/Archive/arules/arules_1.1-1.tar.gz$ R CMD INSTALL arules_1.1-1.tar.gzFor use with ORE:$ ORE CMD INSTALL arules_1.1-1.tar.gzUnable to execute files in /tmp directoryBy default, R uses the /tmp directory to install packages. On security conscious machines, the /tmp directory is often marked as "noexec" in the /etc/fstab file. This means that no file under /tmp can ever be executed, and users who attempt to install R package will receive an error:ERROR: 'configure' exists but is not executable -- see the 'R Installation and Administration Manual’The solution is to set the TMP and TMPDIR environment variables to a location which R will use as the compilation directory. For example:$ mkdir <some path>/tmp$ export TMPDIR= <some path>/tmp$ export TMP= <some path>/tmpThis error typically appears on Linux client machines and not database servers, as Oracle Database writes to the value of the TMP environment variable for several tasks, including holding temporary files during database installation. 7. Creating your own R packageCreating your own package and submitting to CRAN is for advanced users, but it is not difficult. The procedure to follow, along with details of R's package system, is detailed in the Writing R Extensions manual.

  Read the article

• CodePlex Daily Summary for Tuesday, July 29, 2014

  CodePlex Daily Summary for Tuesday, July 29, 2014Popular ReleasesArtezio SharePoint 2013 Workflow Activities: SharePoint Designer 2013 custom workflow actions 1.0: SharePoint Designer 2013 custom workflow actions that work with permissions. Add Role Assignment Add Role Assignments Delete Role Assignments Get Role Definition Id Get Role Definition Id By Role Type Id Reset Role Inheritance Artezio SharePoint Consulting & DevelopmentVG-Ripper & PG-Ripper: PG-Ripper 1.4.32: changes NEW: Added Support for 'ImgMega.com' links NEW: Added Support for 'ImgCandy.net' links NEW: Added Support for 'ImgPit.com' links NEW: Added Support for 'Img.yt' links FIXED: 'Radikal.ru' links FIXED: 'ImageTeam.org' links FIXED: 'ImgSee.com' links FIXED: 'Img.yt' linksAsp.Net MVC-4,Entity Framework and JQGrid Demo with Todo List WebApplication: Asp.Net MVC-4,Entity Framework and JQGrid Demo: Asp.Net MVC-4,Entity Framework and JQGrid Demo with simple Todo List WebApplication, Overview TodoList is a simple web application to create, store and modify Todo tasks to be maintained by the users, which comprises of following fields to the user (Task Name, Task Description, Severity, Target Date, Task Status). TodoList web application is created using MVC - 4 architecture, code-first Entity Framework (ORM) and Jqgrid for displaying the data.Waterfox: Waterfox 31.0 Portable: New features in Waterfox 31.0: Added support for Unicode 7.0 Experimental support for WebCL New features in Firefox 31.0:New Add the search field to the new tab page Support of Prefer:Safe http header for parental control mozilla::pkix as default certificate verifier Block malware from downloaded files Block malware from downloaded files audio/video .ogg and .pdf files handled by Firefox if no application specified Changed Removal of the CAPS infrastructure for specifying site-sp...SuperSocket, an extensible socket server framework: SuperSocket 1.6.3: The changes below are included in this release: fixed an exception when collect a server's status but it has been stopped fixed a bug that can cause an exception in case of sending data when the connection dropped already fixed the log4net missing issue for a QuickStart project fixed a warning in a QuickStart projectYnote Classic: Ynote Classic 2.8.5 Beta: Several Changes - Multiple Carets and Multiple Selections - Improved Startup Time - Improved Syntax Highlighting - Search Improvements - Shell Command - Improved StabilityDatabase Schema Reader: v1.3.4.0: Contents DatabaseSchemaReader.dll - Class library (.net3.5) DatabaseSchemaViewer.exe - UI to read and view database schemas; options to generate SQL and code; option to compare another schema CopyToSQLite/CopyToSQLite.exe - UI to copy any database schema and data to SQLite or, if installed, SQL Server CE 4.0 net4/DatabaseSchemaReader.dll - .Net 4.0 class library This Release Schema Reading (MySQL)- reads UNSIGNED integers (available in the schema model's DatabaseColumn.DbDataType prope...TEBookConverter: 1.2: Fixed: Could not start convertion in some cases Fixed: Progress show during convertion was truncated Fixed: Stopping convertion didn't reset program titleQ2Cue \\: Q2Cue v. 0.85: Initial release.CS-Script Source: Release v3.8.4: CSScript.Evaluator is migrated to Mono v3.3.0 Added aggregating //css_ignore_ns from the imported scripts cs-script.7z - CS-Script Suite (binaries, documentation, samples) cs-script.ExtensionPack.7z - CS-Script Extension Pack (additional binaries and samples) cs-scriptDocs.7z - CS-Script DocumentationDotSpatial: DotSpatial 1.7: DotSpatial.Full - includes all DotSpatial libraries, extensions and DemoMap application DotSpatial.Core - includes only DotSpatial core libraries Entire list of changes see in the issue tracker. Main changes: Improved common stability, optimized memory and speed when loading and rendering shapefiles, fixed some memory leaks in rasters and shape layers. Simplified plugin infrastructure. Now there are predefined implementations for all required components (IStatusControl, IDockManager, IHead...NRepository: NRepository 2.2: NuGetNRepository packages are available from NuGet.org: NRepository.Core: Install-Package NRepository.Core NRepository.EntityFramework: Install-Package NRepository.EntityFramework NRepository.TestKit: Install-Package NRepository.TestKit Contoso University Sample Projects Added 3 versions of Contoso University sample code added: ContosoUniversityOriginal - This is the original Microsoft sample project for Entity Framework. ContosoUniversityUsingNRepository - This version simply repl...InstagramSaver: 1.5: Added: An option to wait between downloads to prevent ban from server Improved: File downloading performance Improved: File checking performancePVReportDeployer: PVReportDeployer 1.0: PVReportDeployer 1.0AD4 Application Designer for flow based .NET applications: AD4.AppDesigner.23.20: AD4.Iteration.23.20(Advanced Rendering Features) Option to render name of flow pins within flow chart (AlarmClockSample.10.ad4 used to test this extension): MainWindow extended by adding FlowChartShowFlowPinCaptionsComboBox ConfigureUIControls customized ManageFlowChartShowFlowPinCaptionsOptionFlow customized Parameter FlowChartFlowPins replaced FlowChartFlowPinCaptions in AD4.AppDesigner.cfg RenderFlowPinsCaptions customized to use the parameter ToDo: Some tutorials are unfinished b...CRM 2013 One Click Navigation: CRM2013OneClickNavigation_1_0_0_3_managed.zip: Fixes on Security PrivilegesAutomatedLab: AutomatedLab 2.1.0.0: 2.1.0 Support for external virtual switches CaRoot is a new role for installing Root Certificate Authorities Root domain controllers are installed in parallel now 2.0.0 Now supports also Windows Server 2008 R2 and 7 No longer the limit of just having one client and one server operating system Rewrite of the code that handles VHDs Lots of bug fixing Changed that parameter definition of some cmdlets in AutomatedLabDefinition and also adapted the sample scripts Now the Forest...BizTalk Deployment Utilities: 1.0.0.0: Draft VersionGroupMe Software Development Kit: GroupMe .NET SDK v1.0.1: Small update concerning the /users/me endpoint to get the currently authenticated user info. Documentation is available here: http://dotnetcorner.ch/Projects/GroupMe-NET-SDK/DocumentationOneNote Tagging Kit: OneNoteTaggingKit Add-In 2.4.5316.33833: New Features in this ReleaseThe Find Pages dialog preserves search string and tag filter selection on search scope changes Other ChangesDialog windows restored when action button is pressed while windows is minimized Code cleanup and simplification Code documentation Created some reusable UI controls Tags styling made more pleasant (I hope) Tag tooltips improved on the Find Pages dialog : Added dedicated tooltips to the page count and selection indicator of tags Closing open dial...New ProjectsCognitum ASP.NET Providers for Cassandra: Cassandra Providers is a ASP.NET solution that uses the Cassandra Database data source for a custom Membership, Role, Profile, an Session-State providers.DG Mobile: Simples aplicação para inserção, visualização e emissão de relatório de atividades relacionadas ao DG.Dynamics AX Development tools: Several AX Development related tools combined into one configurable packages: TFS Workspace, DEV_Tools, and X++ Editor components.E Drawing Library for WinRT: E Drawing Library for WinRT lets you create graphic rich Windows Store Apps easily, giving you all the power of Direct2D with simple classes and methods.EFramework.DataAccess: Summary ????freetalkserver: This php server, user can register!gicon: gicon is a project to help you to generate avatar/icon by hash (MD5, SHA1) or random hex string (such as GUID)hOOt - Full text search: Full text search engine built from scratch using bitmap indexesMelodyUI - Library for HTML, CSS & JS Development: MelodyUI is a set of classes and helpers that let us to create Web Applications. MelodyUI is lightweight and don't have any dependency.nRF24L01Plus .NETMF driver: nRF24L01, .NET MFNyan: Beginning...Prince Game Xna: Prince of Persia Net Game in Xna Game StudioSmartsby: Combining several small business web app's information into a single dashboard.Super snippets: Super snippets para Visual StudioTCP/IP Adapter BizTalk 2013: BizTalk 2013 TCP/IP community adapter. This is an updated version of the TCP/IP adapter for BizTalk, for use with BizTalk 2013.testMercurial: summaryUnit OF Work With Sql Helper: This project is intended to provide a simple data access object for SQL Server with repository and Unit of Work pattern.VisualRegEx: Prototype. Experimenting regex parsing, graph layout, etc.WDK Hardware Development Boards Add-On: Scripts for working with windows compatible hardware development boards like the Sharks Cove?????? 2014????????: ???????????????、????、????、??????、????、????????,????????、?????????,?????。?????? 2014????????: ????????????,????,??????????? ???? ???? ?????????,???,??,?????!???? 2014????????: ?????????????、????、????、??????、????、???????,?????,?????????!????? 2014???????: ????????????????,?????????????。????????????,???????,???????,?????,?????????? 2014????????: ?????????????????、????、??????、????????,????????????,???????????！??????? 2014???????: ??????????????????,??????????????、???????、???????、???????、?????！??????? 2014????????: ?????????????????????,????????????????,????????????????,??????！????? 2014????????: ?????????????????????????,???????????,????????,??????????????????????????? 2014????????: ??????????????????????,????“???????,???????”?????,????????????！?????? 2014???????: ?????????????????,????,????,??????,????“????、????、????、????”????????,??????.?????? 2014????????: ?????????????????"????,????"???,????????????????????????,??????????????。?????? 2014????????: ??????????????:????,????,????,???????,????????,??????:????????,?????!???? 2014????????: ????????????????????????,???????????????,????????????????！???? 2014?????????: ??????????????????,?????????????,???????????.????????????,????????????!?????? 2014??????: ??????????????:????,????,????,???????,????????,??????:????????,?????!?????? 2014??????: ?????????????????,???????????????。?????????????,???????,?????????。????? 2014???????: ????????????????"????,????"???,????????????????????????,??????????????。????? 2014??????: ???????????????????,?????????????,???????????.????????????,????????????!????? 2014???????: ?????????????????????????,???????????????,????????????????！?????? ????????: ??????????????300??,????????、???????、????、????????、?????,??????:????,????,???????！?????? ????????: ??????????????????,?????,???，???、???、?????,???,?????,??????????????????? ???????????: ??????????????????,?????????。????????????,??????,????,????,?????????！????? ???????: ????????????????????????，?????、???、????，????，???、???、???、???、???，????，?????！????? ???????: ????????????????????,????????,????????,????,????,??????，???????!????? ???????: ???????????????,??????????????????,????????,??????????????、????。?????? 2014????????: ????????????????????,????????:??、??、???,?????????????????????!?????? ????????: ????????????????6?,???????????????????????????,??????????????,?????????！?????? ??????: ????????????????8?，????????,????????,??????????,?????,????? ,????????!?????? ???????: ?????????????????????????????、????、????、???????????,????,????!????? 2014???????: ???????????、???、??、??????????????????????????????,????????????????!?????? 2014????????: ????????????????????????、??????,????、?????、????， ?????????，?????????????！?????? ????????: ?????????????????????、????、????、??????、???????,??????、??????。?????? ???????: ??????????????????,???????、????、????、??????、???????,??????,???????????。???? ????????: ??????,??????,?????????????????????,???????????????????????。???? ???????: ??????????????,???????、???????????,????????,????,?????????,??????,??????!?????? ????????: ?????????????????,?????????????。?????????,???????,???????,?????????????。?????? ????????: ????????????????、??????、??????、??????、??????、?????、??????、????、????、????????！????? ???????: ???????????????????,??????????????,???????????,??????,????,??????,??????。????? ???????: ?????????????!???????????,??????,????,?????????????,????????,??????,????,?????...?????? ???????: ????????????、??、???????????,??????,????????,??????????????????...?????????? ????????: ??????????????,??????????????,?????????,????,????,??????。???? ?????: ????????????、?????????,?????????,????,????????,????????????????!????? 2014??????????: ???????????????????,?????,???????,???????????,??????! ????? 2014?????????: ???????????????????,?????????????????????,?????,????,???????.

  Read the article

• Standard way of allowing general XML data

  - by Greg Jackson

  I'm writing a data gathering and reporting application that takes XML files as input, which will then be read, processed, and stored in a strongly-typed database. For example, an XML file for a "Job" might look like this: <Data type="Job"> <ID>12345</ID> <JobName>MyJob</JobName> <StartDate>04/07/2012 10:45:00 AM</StartDate> <Files> <File name="a.jpeg" path="images\" /> <File name="b.mp3" path="music\mp3\" /> </Files> </Data> I'd like to use a schema to have a standard format for these input files (depending on what type of data is being used, for example "Job", "User", "View"), but I'd also like to not fail validation if there is extra data provided. For example, perhaps a Job has additional properties such as "IsAutomated", "Requester", "EndDate", and so on. I don't particularly care about these extra properties. If they are included in the XML, I'll simply ignore them when I'm processing the XML file, and I'd like validation to do the same, without having to include in the schema every single possible property that a customer might provide me with. Is there a standard way of providing such a schema, or of allowing such a general XML file that can still be validated without resorting to something as naïve (and potentially difficult to deal with) as the below? <Data type="Job"> <Data name="ID">12345</Data> . . . <Data name="Files"> <Data name="File"> <Data name="Filename">a.jpeg</Data> <Data name="path">images</Data> . . . </Data> </Data>

  Read the article

• SQL – Step by Step Guide to Download and Install NuoDB – Getting Started with NuoDB

  - by Pinal Dave

  Let us take a look at the application you own at your business. If you pay attention to the underlying database for that application you will be amazed. Every successful business these days processes way more data than they used to process before. The number of transactions and the amount of data is growing at an exponential rate. Every single day there is way more data to process than before. Big data is no longer a concept; it is now turning into reality. If you look around there are so many different big data solutions and it can be a quite difficult task to figure out where to begin. Personally, I have been experimenting with a lot of different solutions which allow my database to scale immediately without much hassle while maintaining optimal database performance.  There are for sure some solutions out there, but for many I even have to learn their specific language and there is a lot of new exploration to do. Honestly, what I prefer is a product, which works with the language I know (SQL) and follows all the RDBMS concepts which I am familiar with (ACID etc.). NuoDB is one such solution.  It is an operational NewSQL database built on a patented emergent architecture with full support for SQL and ACID guarantees. In this blog post, I will explore how one can download and install NuoDB database. Step 1: Follow me and go to the NuoDB download page. Simply fill out the form, accept the online license agreement, and you will be taken directly to a page where you can select any platform you prefer to install NuoDB. In my example below, I select the Windows 64-bit platform as it is one of the most popular NuoDB platforms. (You can also run NuoDB on Amazon Web Services but I prefer to install it on my local machine for the purposes of this blog). Step 2: Once you have downloaded the NuoDB installer, double click on it to install it on the Windows platform. Here is the enlarged the icon of the installer. Step 3: Follow the wizard installation, as it is pretty straight forward and easy to do so. I have selected all the options to install as the overall installation is very simple and it does not take up much space. I have installed it on my C drive but you can select your preferred drive. It is quite possible that if you do not have 64 bit Java, it will throw following error. If you face following error, I suggest you to download 64-bit Java from here. Make sure that you download 64-bit Java from following link: http://java.com/en/download/manual.jsp If already have Java 64-bit installed, you can continue with the installation as described in following image. Otherwise, install Java and start from with Step 1. As in my case, I already have 64-bit Java installed – and you won’t believe me when I say that the entire installation of NuoDB only took me around 90 seconds. Click on Finish to end to exit the installation. Step 4: Once the installation is successful, NuoDB will automatically open the following two tabs – Console and DevCenter — in your preferred browser. On the Console tab you can explore various components of the NuoDB solution, e.g. QuickStart, Admin, Explorer, Storefront and Samples. We will see various components and their usage in future blog posts. If you follow these steps in this post, which I have followed to install NuoDB, you will agree that the installation of NuoDB is extremely smooth and it was indeed a pleasure to install a database product with such ease. If you have installed other database products in the past, you will absolutely agree with me. So download NuoDB and install it today, and in tomorrow’s blog post I will take the installation to the next level. 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

  Read the article

• MCSE and MCSA makes a return to the world of certification..... but not as you know it.

  - by Testas

  Quick announcementMicrosoft Learning today announced the certification tracks for the upcoming SQL Server 2012 exams.You begin by acheiving the MCSA - Microsoft Certified Solutions Associate (Not to be confused by the old Microsoft Certified System Administrator)If you are starting out this includes taking the following three exams:Exam 70-461: Querying Microsoft SQL Server 2012Exam 70-462: Administering Microsoft SQL Server 2012 DatabasesExam 70-463: Implementing a Data Warehouse with Microsoft SQL Server 2012If you have an MCTS in SQL Server 2008 already you can take the following pathA pass in a SQL Server 2008 (MCTS) Microsoft Certified Technology Specialist examExam 70-457: transisitioning your MCTS on SQL Server 2008 to MCSA on SQL Server 2012 part 1Exam 70-458: transisitioning your MCTS on SQL Server 2008 to MCSA on SQL Server 2012 part 2Once you have achieved you MCSA status you can then start for your MCSE - Microsoft Certified Solutions Expert certificationYou have a choice, to do the MCSE: SQL Server 2012 Data Platform, MCSE: SQL Server 2012 Business Intelligence or you could do bothMCSE: SQL Server 2012 Data Platform involvesObtain your SQL Server 2012 MCSAExam 70-464: Developing Microsoft SQL Server 2012 DatabasesExam 70-465: Designing Database Solutions for Microsoft SQL Server 2012There is also an upgrade pathA pass in a SQL Server 2008 (MCITP) Microsoft Certified IT Professional Database Administrator or Database Developer CertificationExam 70-457: transisitioning your MCTS on SQL Server 2008 to MCSA on SQL Server 2012 part 1Exam 70-458: transisitioning your MCTS on SQL Server 2008 to MCSA on SQL Server 2012 part 2Exam 70-459: transisitioning your MCITP on SQL Server 2008 Database Administrator or Database Developer to MCSE:Data PlatformMCSE: SQL Server 2012 Business Intelligence involvesObtain your SQL Server 2012 MCSAExam 70-466: Implementing Data Models and Reports with Microsoft SQL Server 2012Exam 70-467: Designing Business Intelligence Solutions with Microsoft SQL Server 2012The upgrade path involves:A pass in a SQL Server 2008 (MCITP) Microsoft Certified IT Professional Business Intelligence CertificationExam 70-457: transisitioning your MCTS on SQL Server 2008 to MCSA on SQL Server 2012 part 1Exam 70-458: transisitioning your MCTS on SQL Server 2008 to MCSA on SQL Server 2012 part 2Exam 70-460: transisitioning your MCITP on SQL Server 2008 Business Intelligence Developer to MCSE:Business IntelligenceAs a result if you want to achieve the MCSE in either Data Platform or Business Intelligence and you are starting from scratch there will be 5 exams to takeIf you have the ability to upgrade your certification because you have an MCITP already then it will be three examsFull details and questions can be found at http://www.microsoft.com/learning/en/us/certification/cert-sql-server.aspxThanksChris

  Read the article

• T-SQL in SQL Azure

  - by kaleidoscope

  The following table summarizes the Transact-SQL support provided by SQL Azure Database at PDC 2009: Transact-SQL Features Supported Transact-SQL Features Unsupported Constants Constraints Cursors Index management and rebuilding indexes Local temporary tables Reserved keywords Stored procedures Statistics management Transactions Triggers Tables, joins, and table variables Transact-SQL language elements such as Create/drop databases Create/alter/drop tables Create/alter/drop users and logins User-defined functions Views, including sys.synonyms view Common Language Runtime (CLR) Database file placement Database mirroring Distributed queries Distributed transactions Filegroup management Global temporary tables Spatial data and indexes SQL Server configuration options SQL Server Service Broker System tables Trace Flags   Amit, S

  Read the article

• Oracle's Thirteen Engineered Systems

  - by Luis Moreno Campos

  You already need a catalogue to keep up with the many new stuff coming out from Oracle Engineered from factory.In the Exadata portfolio you have 4 systems:- Quarter Rack X2-2 Database Machine- Half-Rack X2-2 Database Machine- Full-Rack X2-2 Database Machine- X2-8 Database MachineBut if Exadata presents a stunning portfolio, Exalogic doesn't fall behind on that by putting out 6 versions: 3 sizes (Quarter, Half and Full) with x86 processors and the same 3 sizes with SPARC based processors.Finally we have 3 new systems called SPARC Superclusters where Solaris 11 was re-engineered to take more out of the power of Infiniband: "Available in the next calendar year, the Oracle SPARC Supercluster will be available in T3-2, T3-4 and M5000-based configurations".I see Oracle delivering on it's promise to tightly integrate Hardware and Software to work closer together.

  Read the article

• Case Study: Polystar Improves Telecom Networks Performance with Embedded MySQL

  - by Bertrand Matthelié

  Polystar delivers and supports systems that increase the quality, revenue and customer satisfaction of telecommunication services. Headquarted in Sweden, Polystar helps operators worldwide including Telia, Tele2, Telekom Malysia and T-Mobile to monitor their network performance and improve service levels. Challenges Deliver complete turnkey solutions to customers integrating a database ensuring high performance at scale, while being very easy to use, manage and optimize. Enable the implementation of distributed architectures including one database per server while maintaining a low Total Cost of Ownership (TCO). Avoid growing database complexity as the volume of mobile data to monitor and analyze drastically increases. Solution Evaluation of several databases and selection of MySQL based on its high performance, manageability, and low TCO. The MySQL databases implemented within the Polystar solutions handle on average 3,000 to 5,000 transactions per second. Up to 50 million records are inserted every day in each database. Typical installations include between 50 and 100 MySQL databases, up to 300 for the largest ones. Data is then periodically aggregated, with the original records being overwritten, as the need for detailed information becomes unnecessary to operators after a few weeks. The exponential growth in mobile data traffic driven by the proliferation of smartphones and usage of social media requires ever more powerful solutions to monitor, analyze and turn network data into actionable business intelligence. With MySQL, Polystar can deliver powerful, yet easy to manage, solutions to its customers. MySQL-based Polystar solutions enable operators to monitor, manage and improve the service levels of their telecom networks in over a dozen countries from a single location. The new and innovative MySQL features constantly delivered by Oracle help ensure Polystar that it will be able to meet its customer’s needs as they evolve. “MySQL has been a great embedded database choice for us. It delivers the high performance we need while remaining very easy to use, manage and tune. Power and simplicity at its best.” Mats Söderlindh, COO at Polystar.

  Read the article

• Mysql hosting for application backend

  - by churnd

  I've been asked to help set up a way for a volunteer animal rescue organization to use an application to keep track of animals they've rescued. This application already exists, and can use it's own local database or connect to a MySQL database server. Since there are several volunteers spread out over a large region, a database server would be the best way to go. Money is a big problem, obviously. So, I'm looking for a very cheap or hopefully free database server or webhost that allows tcp/ip connections to their database servers. Backups will be handled on our end, so basically I just need the hosted mysql server. I've seen 000webhost.com, x10hosting, and xtreemhost, which all look promising, but they either aren't clear on remote mysql connections, or don't allow it at all. Looking forward to your recommendations! The animals thank you! :)

  Read the article

• Convert ddply {plyr} to Oracle R Enterprise, or use with Embedded R Execution

  - by Mark Hornick

  The plyr package contains a set of tools for partitioning a problem into smaller sub-problems that can be more easily processed. One function within {plyr} is ddply, which allows you to specify subsets of a data.frame and then apply a function to each subset. The result is gathered into a single data.frame. Such a capability is very convenient. The function ddply also has a parallel option that if TRUE, will apply the function in parallel, using the backend provided by foreach. This type of functionality is available through Oracle R Enterprise using the ore.groupApply function. In this blog post, we show a few examples from Sean Anderson's "A quick introduction to plyr" to illustrate the correpsonding functionality using ore.groupApply. To get started, we'll create a demo data set and load the plyr package. set.seed(1) d <- data.frame(year = rep(2000:2014, each = 3),         count = round(runif(45, 0, 20))) dim(d) library(plyr) This first example takes the data frame, partitions it by year, and calculates the coefficient of variation of the count, returning a data frame. # Example 1 res <- ddply(d, "year", function(x) {   mean.count <- mean(x$count)   sd.count <- sd(x$count)   cv <- sd.count/mean.count   data.frame(cv.count = cv)   }) To illustrate the equivalent functionality in Oracle R Enterprise, using embedded R execution, we use the ore.groupApply function on the same data, but pushed to the database, creating an ore.frame. The function ore.push creates a temporary table in the database, returning a proxy object, the ore.frame. D <- ore.push(d) res <- ore.groupApply (D, D$year, function(x) {   mean.count <- mean(x$count)   sd.count <- sd(x$count)   cv <- sd.count/mean.count   data.frame(year=x$year[1], cv.count = cv)   }, FUN.VALUE=data.frame(year=1, cv.count=1)) You'll notice the similarities in the first three arguments. With ore.groupApply, we augment the function to return the specific data.frame we want. We also specify the argument FUN.VALUE, which describes the resulting data.frame. From our previous blog posts, you may recall that by default, ore.groupApply returns an ore.list containing the results of each function invocation. To get a data.frame, we specify the structure of the result. The results in both cases are the same, however the ore.groupApply result is an ore.frame. In this case the data stays in the database until it's actually required. This can result in significant memory and time savings whe data is large. R> class(res) [1] "ore.frame" attr(,"package") [1] "OREbase" R> head(res)    year cv.count 1 2000 0.3984848 2 2001 0.6062178 3 2002 0.2309401 4 2003 0.5773503 5 2004 0.3069680 6 2005 0.3431743 To make the ore.groupApply execute in parallel, you can specify the argument parallel with either TRUE, to use default database parallelism, or to a specific number, which serves as a hint to the database as to how many parallel R engines should be used. The next ddply example uses the summarise function, which creates a new data.frame. In ore.groupApply, the year column is passed in with the data. Since no automatic creation of columns takes place, we explicitly set the year column in the data.frame result to the value of the first row, since all rows received by the function have the same year. # Example 2 ddply(d, "year", summarise, mean.count = mean(count)) res <- ore.groupApply (D, D$year, function(x) {   mean.count <- mean(x$count)   data.frame(year=x$year[1], mean.count = mean.count)   }, FUN.VALUE=data.frame(year=1, mean.count=1)) R> head(res)    year mean.count 1 2000 7.666667 2 2001 13.333333 3 2002 15.000000 4 2003 3.000000 5 2004 12.333333 6 2005 14.666667 Example 3 uses the transform function with ddply, which modifies the existing data.frame. With ore.groupApply, we again construct the data.frame explicilty, which is returned as an ore.frame. # Example 3 ddply(d, "year", transform, total.count = sum(count)) res <- ore.groupApply (D, D$year, function(x) {   total.count <- sum(x$count)   data.frame(year=x$year[1], count=x$count, total.count = total.count)   }, FUN.VALUE=data.frame(year=1, count=1, total.count=1)) > head(res)    year count total.count 1 2000 5 23 2 2000 7 23 3 2000 11 23 4 2001 18 40 5 2001 4 40 6 2001 18 40 In Example 4, the mutate function with ddply enables you to define new columns that build on columns just defined. Since the construction of the data.frame using ore.groupApply is explicit, you always have complete control over when and how to use columns. # Example 4 ddply(d, "year", mutate, mu = mean(count), sigma = sd(count),       cv = sigma/mu) res <- ore.groupApply (D, D$year, function(x) {   mu <- mean(x$count)   sigma <- sd(x$count)   cv <- sigma/mu   data.frame(year=x$year[1], count=x$count, mu=mu, sigma=sigma, cv=cv)   }, FUN.VALUE=data.frame(year=1, count=1, mu=1,sigma=1,cv=1)) R> head(res)    year count mu sigma cv 1 2000 5 7.666667 3.055050 0.3984848 2 2000 7 7.666667 3.055050 0.3984848 3 2000 11 7.666667 3.055050 0.3984848 4 2001 18 13.333333 8.082904 0.6062178 5 2001 4 13.333333 8.082904 0.6062178 6 2001 18 13.333333 8.082904 0.6062178 In Example 5, ddply is used to partition data on multiple columns before constructing the result. Realizing this with ore.groupApply involves creating an index column out of the concatenation of the columns used for partitioning. This example also allows us to illustrate using the ORE transparency layer to subset the data. # Example 5 baseball.dat <- subset(baseball, year > 2000) # data from the plyr package x <- ddply(baseball.dat, c("year", "team"), summarize,            homeruns = sum(hr)) We first push the data set to the database to get an ore.frame. We then add the composite column and perform the subset, using the transparency layer. Since the results from database execution are unordered, we will explicitly sort these results and view the first 6 rows. BB.DAT <- ore.push(baseball) BB.DAT$index <- with(BB.DAT, paste(year, team, sep="+")) BB.DAT2 <- subset(BB.DAT, year > 2000) X <- ore.groupApply (BB.DAT2, BB.DAT2$index, function(x) {   data.frame(year=x$year[1], team=x$team[1], homeruns=sum(x$hr))   }, FUN.VALUE=data.frame(year=1, team="A", homeruns=1), parallel=FALSE) res <- ore.sort(X, by=c("year","team")) R> head(res)    year team homeruns 1 2001 ANA 4 2 2001 ARI 155 3 2001 ATL 63 4 2001 BAL 58 5 2001 BOS 77 6 2001 CHA 63 Our next example is derived from the ggplot function documentation. This illustrates the use of ddply within using the ggplot2 package. We first create a data.frame with demo data and use ddply to create some statistics for each group (gp). We then use ggplot to produce the graph. We can take this same code, push the data.frame df to the database and invoke this on the database server. The graph will be returned to the client window, as depicted below. # Example 6 with ggplot2 library(ggplot2) df <- data.frame(gp = factor(rep(letters[1:3], each = 10)),                  y = rnorm(30)) # Compute sample mean and standard deviation in each group library(plyr) ds <- ddply(df, .(gp), summarise, mean = mean(y), sd = sd(y)) # Set up a skeleton ggplot object and add layers: ggplot() +   geom_point(data = df, aes(x = gp, y = y)) +   geom_point(data = ds, aes(x = gp, y = mean),              colour = 'red', size = 3) +   geom_errorbar(data = ds, aes(x = gp, y = mean,                                ymin = mean - sd, ymax = mean + sd),              colour = 'red', width = 0.4) DF <- ore.push(df) ore.tableApply(DF, function(df) {   library(ggplot2)   library(plyr)   ds <- ddply(df, .(gp), summarise, mean = mean(y), sd = sd(y))   ggplot() +     geom_point(data = df, aes(x = gp, y = y)) +     geom_point(data = ds, aes(x = gp, y = mean),                colour = 'red', size = 3) +     geom_errorbar(data = ds, aes(x = gp, y = mean,                                  ymin = mean - sd, ymax = mean + sd),                   colour = 'red', width = 0.4) }) But let's take this one step further. Suppose we wanted to produce multiple graphs, partitioned on some index column. We replicate the data three times and add some noise to the y values, just to make the graphs a little different. We also create an index column to form our three partitions. Note that we've also specified that this should be executed in parallel, allowing Oracle Database to control and manage the server-side R engines. The result of ore.groupApply is an ore.list that contains the three graphs. Each graph can be viewed by printing the list element. df2 <- rbind(df,df,df) df2$y <- df2$y + rnorm(nrow(df2)) df2$index <- c(rep(1,300), rep(2,300), rep(3,300)) DF2 <- ore.push(df2) res <- ore.groupApply(DF2, DF2$index, function(df) {   df <- df[,1:2]   library(ggplot2)   library(plyr)   ds <- ddply(df, .(gp), summarise, mean = mean(y), sd = sd(y))   ggplot() +     geom_point(data = df, aes(x = gp, y = y)) +     geom_point(data = ds, aes(x = gp, y = mean),                colour = 'red', size = 3) +     geom_errorbar(data = ds, aes(x = gp, y = mean,                                  ymin = mean - sd, ymax = mean + sd),                   colour = 'red', width = 0.4)   }, parallel=TRUE) res[[1]] res[[2]] res[[3]] To recap, we've illustrated how various uses of ddply from the plyr package can be realized in ore.groupApply, which affords the user explicit control over the contents of the data.frame result in a straightforward manner. We've also highlighted how ddply can be used within an ore.groupApply call.

  Read the article

• Display root node of Hierarchical Tree using ADF - EJB DC

  - by arul.wilson(at)oracle.com

  Displaying Employee (HR schema) records in Hierarchical Tree can be achieved in ADF-BC by creating custom VO and a Viewlink for displaying root node. This can be more easily done using  EJB-DC by just introducing a NamedQuery to get the root node.Here you go to get this scenario working.Create DB connection based on HR schema.Create Entity Bean from Employees Table.Add custom NamedQuery to Employees.java bean, this named query is responsible for fetching the root node (King in this example). @NamedQueries({  @NamedQuery(name = "Employees.findAll", query = "select o from Employees o"),  @NamedQuery(name = "Employees.findRootEmp", query = "select p from Employees p where p.employees is null")}) Create Stateless Session Bean and expose the Named Queries through the Session Facade.Create Datacontrol from SessionBean local interface.Create jspx page in ViewController project.Drop employeesFindRootEmp from Data Controls Palette as ADF Tree.Add employeesList as Tree level rule.Run page to see the hierarchical tree with root node as 'King'

  Read the article

• ArchBeat Link-o-Rama for November 30, 2012

  - by Bob Rhubart

  Oracle SOA Database Adapter Polling in a Cluster: A Handy Logical Delete Pattern | Carlo Arteaga "Using the SOA database adapter usually becomes easier when the adapter is simply viewed and treated as a gateway between the Oracle SOA composite world and the database world," says Carlo Arteaga. "When viewing the adapter in this light one should come to understand that the adapter is not the ultimate all-in-one solution for database access and database logic needs." OIM 11g : Multi-thread approach for writing custom scheduled job | Saravanan V S Saravanan shares insight and expertise relevant to "designing and developing an OIM schedule job that uses multi threaded approach for updating data in OIM using APIs." When Premature Optimization Isn't | Dustin Marx "Perhaps the most common situations in which I have seen developers make bad decisions under the pretense of 'avoiding premature optimization' is making bad architecture or design choices," says Dustin Marx. Protecting Intranet and Extranet Applications with a Single OAM 11g Deployment | Brian Eidelman Oracle Fusion Middleware A-Team member Brian Eideleman's post, part of the Oracle Access Manager Academy series, explores issues and soluions around setting up a single OAM deployment to protect both intranet and extranet apps. Thought for the Day "Never make a technical decision based upon the politics of the situation, and never make a political decision based upon technical issues." — Geoffrey James Source: SoftwareQuotes.com

  Read the article

• ASP.NET 4.0 and the Entity Framework 4 - Part 2: Perform CRUD Operations Using the Entity Framework

  In this article, Vince demonstrates the usage of the Entity Framework 4 to create, read, update, and delete records in the database which was created in Part 1 of this series. After a short introduction, he discusses the various step involved in the modification of the database, creation of a web form, the selection records to load a drop down list, and the adding, updating, deletion and retrieval of records from the database with the help of relevant source code and screen shots.

  Read the article

• ETPM Environment Health Monitoring Tools

  - by Paula Speranza-Hadley

  This post is to provide some useful information about the tools typically used by Oracle ETPM implementations for performance tuning and analysis.   This includes tools to monitor and gather performance information and statistics on the Database, Application Server, and Client (browser).  Enterprise Monitoring Tools Oracle Enterprise Manager - OEM Grid Control comes with a comprehensive set of performance and health metrics that allow monitoring of key components in your environment such as applications, application servers, databases, as well as the back-end components on which they rely, such as hosts, operating systems and storage. Tools for the Database Oracle Diagnostics Pack Automatic Workload Repository (AWR)  - this tool gets statistics from memory abut the Time Model or DB Time, Wait Events, Active Session History and High Load SWL queries Automatic Database Diagnostic Monitor (ADDM) - This self-diagnostic software is built into the database.  It examines and analyzes data captured in AWR to dertermine possible performance issues.  It locates the root cause of the issue, provides recommendations for correcting the issues and qualifies the expected benefit. Oracle Database Tuning Pack SQL Tuning Advisor - This enables you to submit one or more SQL statements as input and receive output in the form of specific advice or recommendations on how to tune statements.  The recommendation relates to collection of statistics on objects, creation on new indexes and restructuring of SQL statements. SQL Access Advisor - This enables you to optimize data access paths of SQL queries by recommending a proper set of materialized views, indexes and partitions for a given SQL workload. Tools for the Application Server Weblogic Console - is a web-based, user interface used to configure and control a set of WebLogic servers or clusters (i.e. a "domain").  In any logical group of WebLogic servers there must exist one admin server, which hosts the WebLogic Admin console application and manages the associated configuratoin files. WebLogic Administrators will use the Administration Console for a number of tasks, including: Starting and stopping WebLogic servers or entire clusters. Configuring server parameters, security, database connections and deployed applications. Viewing server status, health and metrics. Yourkit for Profiling - helps analyze synchronization issues, including: Which threads were calling wait(), and for how long Which threads were blocked on attempt to acquire a monitor held by another thread (synchronized methods/blocks), and for how long Tools for the Client Fiddler - allows you to inspect traffic logs, debug and set breakpoints. Firebug – allows you to inspect and edit HTML, monitor network activity and debug JavaScript

  Read the article

• Interview: "Memory Matters"

  Marie-Anne Neimat, vice president of development at Oracle, talks about Oracle TimesTen In-Memory Database 11g and Oracle In-Memory Database Cache 11g.

  Read the article

• KeePass Password Safe

  Store all your passwords in a protected database with this nifty free/open-source password manager

  Read the article

< Previous Page | 405 406 407 408 409 410 411 412 413 414 415 416  | Next Page >