Search Results

Search found 31293 results on 1252 pages for 'database agnostic'.

Page 127/1252 | < Previous Page | 123 124 125 126 127 128 129 130 131 132 133 134  | Next Page >

  • How to convert rows of a database query to a XML file?

    - by EASI
    I am developing a Delphi application that needs to pick up the rows from a period of work and convert them to a single XML file in order to upload to a 3rd party web-service. Is there any component or library available to do that? If not, what is the best approach of code to build that DB2XML conversor? I noticed that most XML questions are about how to convert it to another type of data. Note: the database will be MySQL or Firebird.

    Read the article

  • IOC are at the class level, but what about database conflicts?

    - by mrblah
    With IOC I understand you can substitue implementations out by merely editing a configuration file etc. BUT, what happens when the classes are married to particular database tables and sprocs, you can't just swap out an implementation since the classes/entities are tied to particular tables and stored procedures. Am I right here?

    Read the article

  • Django database - how to add this column in raw SQL.

    - by alex
    Suppose I have my models set up already. class books(models.Model): title = models.CharField... ISBN = models.Integer... What if I want to add this column to my table? user = models.ForeignKey(User, unique=True) How would I write the raw SQL in my database so that this column works?

    Read the article

  • What's the quickest way to dump & load a MySQL InnoDB database using mysqldump?

    - by Josh Schwartzman
    I would like to create a copy of a database with approximately 40 InnoDB tables and around 1.5GB of data with mysqldump and MySQL 5.1. What are the best parameters (ie: --single-transaction) that will result in the quickest dump and load of the data? As well, when loading the data into the second DB, is it quicker to: 1) pipe the results directly to the second MySQL server instance and use the --compress option or 2) load it from a text file (ie: mysql < my_sql_dump.sql)

    Read the article

  • Algorithm to find the percentage of how much two texts are identical

    - by qster
    What algorithm would you suggest to identify how much from 0 to 1 (float) two texts are identical? Note that I don't mean similar (ie, they say the same thing but in a different way), I mean exact same words, but one of the two texts could have extra words or words slightly different or extra new lines and stuff like that. A good example of the algorithm I want is the one google uses to identify duplicate content in websites (X search results very similar to the ones shown have been omitted, click here to see them). The reason I need it is because my website has the ability for users to post comments; similar but different pages currently have their own comments, so many users ended up copy&pasting their comments on all the similar pages. Now I want to merge them (all similar pages will "share" the comments, and if you post it on page A it will appear on similar page B), and I would like to programatically erase all those copy&pasted comments from the same user. I have quite a few million comments but speed shouldn't be an issue since this is a one time thing that will run in the background. The programming language doesn't really matter (as long as it can interface to a MySQL database), but I was thinking of doing it in C++.

    Read the article

  • When is a good time to start thinking about scaling?

    - by Slokun
    I've been designing a site over the past couple days, and been doing some research into different aspects of scaling a site horizontally. If things go as planned, in a few months (years?) I know I'd need to worry about scaling the site up and out, since the resources it would end up consuming would be huge. So, this got me to thinking, when is the best time to start thinking about, and designing for, scalability? If you start too early on, you could easily over complicate your design, and make it impossible to actually build. You could also get too caught up in the details, the architecture, whatever, and wind up getting nothing done. Also, if you do get it working, but the site never takes off, you may have wasted a good chunk of extra effort. On the other hand, you could be saving yourself a ton of effort down the road. Designing it from the ground up to be big would make it much easier later on to let it grow big, with very little rewriting going on. I know for what I'm working on, I've decided to make at least a few choices now on the side of scaling, but I'm not going to do a complete change of thinking to get it to scale completely. Notably, I've redesigned my database from a conventional relational design to one similar to what was suggested on the Reddit site linked below, and I'm going to give memcache a try. So, the basic question, when is a good time to start thinking or worrying about scaling, and what are some good designs, tips, etc. for when doing so? A couple of things I've been reading, for those who are interested: http://www.codinghorror.com/blog/2009/06/scaling-up-vs-scaling-out-hidden-costs.html http://highscalability.com/blog/2010/5/17/7-lessons-learned-while-building-reddit-to-270-million-page.html http://developer.yahoo.com/performance/rules.html

    Read the article

  • How does Amazon's Statistically Improbable Phrases work?

    - by ??iu
    How does something like Statistically Improbable Phrases work? According to amazon: Amazon.com's Statistically Improbable Phrases, or "SIPs", are the most distinctive phrases in the text of books in the Search Inside!™ program. To identify SIPs, our computers scan the text of all books in the Search Inside! program. If they find a phrase that occurs a large number of times in a particular book relative to all Search Inside! books, that phrase is a SIP in that book. SIPs are not necessarily improbable within a particular book, but they are improbable relative to all books in Search Inside!. For example, most SIPs for a book on taxes are tax related. But because we display SIPs in order of their improbability score, the first SIPs will be on tax topics that this book mentions more often than other tax books. For works of fiction, SIPs tend to be distinctive word combinations that often hint at important plot elements. For instance, for Joel's first book, the SIPs are: leaky abstractions, antialiased text, own dog food, bug count, daily builds, bug database, software schedules One interesting complication is that these are phrases of either 2 or 3 words. This makes things a little more interesting because these phrases can overlap with or contain each other.

    Read the article

  • Deal with undefined values in code or in the template?

    - by David
    I'm writing a web application (in Python, not that it matters). One of the features is that people can leave comments on things. I have a class for comments, basically like so: class Comment: user = ... # other stuff where user is an instance of another class, class User: name = ... # other stuff And of course in my template, I have <div>${comment.user.name}</div> Problem: Let's say I allow people to post comments anonymously. In that case comment.user is None (undefined), and of course accessing comment.user.name is going to raise an error. What's the best way to deal with that? I see three possibilities: Use a conditional in the template to test for that case and display something different. This is the most versatile solution, since I can change the way anonymous comments are displayed to, say, "Posted anonymously" (instead of "Posted by ..."), but I've often been told that templates should be mindless display machines and not include logic like that. Also, other people might wind up writing alternate templates for the same application, and I feel like I should be making things as easy as possible for the template writer. Implement an accessor method for the user property of a Comment that returns a dummy user object when the real user is undefined. This dummy object would have user.name = 'Anonymous' or something like that and so the template could access it and print its name with no error. Put an actual record in my database corresponding to a user with user.name = Anonymous (or something like that), and just assign that user to any comment posted when nobody's logged in. I know I've seen some real-world systems that operate this way. (phpBB?) Is there a prevailing wisdom among people who write these sorts of systems about which of these (or some other solution) is the best? Any pitfalls I should watch out for if I go one way vs. another? Whoever gives the best explanation gets the checkmark.

    Read the article

  • Organizing development teams

    - by Patrick
    A long time ago, when my company was much smaller, dividing the development work over teams was quite easy: the 'application' team developed the applications-specific logic, often requiring a deep insight of specific industry problems) the 'generic' team developed the parts that were common/generic for all applications (user interface related stuff, database access, low-level Windows stuff, ...) Over the years the boundaries between the teams have become fuzzy: the 'application' teams often write application-specific functionality with a 'generic' part, so instead of asking the 'generic' team to write that part for them, they write it themselves to speed up the developments; then donate it to the 'generic' team the 'generic' team's focus seems to be more 'maintenance oriented'. All of the 'very generic' code has already been written, so no new developments are needed in it, but instead they continuously have to support all the functionality donated by the application teams. All this seems to indicate that it's not a good idea anymore to have this split in teams. Maybe the 'generic' team should evolve into a 'software quality' team (defining and guarding the rules for writing good quality software), or into a 'software deployment' team (defining how software should be deployed, installed, ...). How do you split up the work in different teams if you have different applications? everybody can write generic code and donates it to a central 'generic' team? everybody can write generic code, but nobody 'manages' this generic code (everybody is the owner) generic code is written by a 'generic' team only and the applications have to wait until the 'generic' team delivers the generic part (via a library, via a DLL) there is no overlap in code between the different applications some other way? Notice that thee advantage of having the mix (allowing everybody to write everywhere in the code) is that: code is written in a more flexible way it's easier to debug the code since you can easily step into the 'generic' code in the debugger But the big (and maybe only) disadvantage is that this generic code may become nobody's responsibility if there is no clear team that manages it anymore. What is your vision?

    Read the article

  • Is programming overrated?

    - by aengine
    [Subjective and intended to be a community wiki] I am sorry for such an offensive question: But here are my arguments Most of the progress in "computing" has came from non-programming sources. i.e. People invented faster microprocessors and better routers and novel memory devices. I dont think on average people are writting more efficient programs than those written 10 years ago. And the newer and popular languages are infact slower than C. though speed is one of the lesser criterias. Most of the progress came from novel paradigms. Web, Internet, Cloud computing and Social networking are novel paradigms and did not involve progress in programming as such. Heck even facebook was written in PHP and not some extreme language. Though it did face scalability issues (same with twitter) but i believe money and better programmers (who came in much later) took care of that. Thus ideating capability trumped programming capability/ Even things like Map-Reduce, Column oriented database and Probablistic algorithms (E.g. bloom filters) came from hardcore Algorithms research, rather than some programming convention. Thus my final point is why programming skill is so overstressed? To point a recent example about how only 10% of programmers can "write code" (binary search) without debugging. Isnt it a bit hypocritical, considering your real successs lies in coming up with better algorithm or a novel feature rather than getting right first time???

    Read the article

  • SQL Server Log File Won't Shrink due cause "log are pending replication" on non replicated DB?

    - by user796466
    I have a non Mission Critial DB 9am-5pm SQL Server database that I have set up to do nightly full backups and log backups every 30 minutes during business hours. The database is in full recovery and normally I have no reason to truncate/shrink logs unless I do some heavy maintenance. Log backups manage the size with no issue. However I have not been at this client for several weeks and upon inspection I noticed that the log had grown to about 10 times the size of the .mdf file. I poked around backups had been running and I had not gotten any severity error alerts (SQL mail). I attempted to put DB in simple recovery and shrink the log, this was no good. I precede to try a log backup and I got: The log was not truncated because records at the beginning of the log are pending replication or Change Data Capture. Ensure the Log Reader Agent or capture job is running or use sp_repldone to mark transactions as distributed or captured. Restart SQL Server rinse repeat same thing ... I said ??? Replication is not nor ever has been set up on this DB or database /server ??? So the log backups have not been flushing the .ldf. So I did a couple hours of research and I found: http://www.sqlmonster.com/Uwe/Forum.aspx/sql-server/5445/Log-file-is-not-truncated-inspite-of-regular-log-backup http://www.eggheadcafe.com/software/aspnet/30708322/the-log-was-not-truncated-because-records-at-the-beginning-of-the-log-are-pending-replication.aspx seems to be some kind of poorly documented bug ?? The solution seems to have been to run exec sp_repldone, more precisley EXEC sp_repldone @xactid = NULL, @xact_segno = NULL, @numtrans = 0, @time= 0, @reset = 1 This procedure can be used in emergency situations to allow truncation of the transaction log when transactions pending replication are present. Using this procedure prevents Microsoft SQL Server 2000 from replicating the database until the database is unpublished and republished. ~ MSDN When I do that I get the following Msg 18757, Level 16, State 1, Procedure sp_repldone, Line 1 Unable to execute procedure. The database is not published. Execute the procedure in a database that is published for replication. Which makes sense Because the DB has never been published for replication. I have several questions: A) First and foremost is, WTF is going on ? What is causeing this, I am interested in knowing the why here ? Is this genuinley a bug or is there some aspect of the backup that is not functioning properly that cause's the DB to mimick a replicated state ? Someone please edify me on this. B) Second ... Do I really have to publish / replicate this DB to exec this SP to fix this ??? Sounds crazy or is there some T-SQL that I can put it in a published state exec the proc and be on my way ... C) Third, if I do indeed have to publish this database to exec the SP to release this unneeded mis replicated/intended log , to get my .ldf file and backup back on track. How do I publish the database without an online host that it is asking for ??? I don't generally do this kind of database administration and need some guidance. Sorry if this is too verbose but just voicing the question helps me clarify it ... Thank you in advance for your help

    Read the article

  • Rails application keeps timing out when attempting to connect to Postgresql DB

    - by Corillian
    I'm hosting a postgresql database on a small windows azure Ubuntu 13.04 VM with a default postgresql.conf. I have a Rails application running on a medium windows azure Ubuntu 13.04 VM. When accessing the postgresql database the rails application is constantly timing out. In its database.yml I have the connection pool size set to 120 and the timeout set to 15 seconds. Despite this my rails logs are full of the following error message: ActiveRecord::ConnectionTimeoutError: could not obtain a database connection within 5 seconds (waited 5.0023203 seconds). The max pool size is currently 120; consider increasing it. My postgresql.conf has a max connection limit of 120, making it any larger prevents the server from being able to successfully restart. I've also made sure that ssl was off in the postgresql.conf per this article but beyond that I have no idea what's going on. My postgresql logs don't contain any info indicating something is going wrong. My website is getting ~1k hits per day so perhaps a small VM instance just isn't powerful enough? I appreciate any assistance! [Edit1] The postgresql database is in a separate cloud service within the same affinity group. For example: db small VM: mydatabase.cloudapp.net (Affinity Group US East) forums medium VM: myforums.cloudapp.net (Affinity Group US East) On the database server I have opened port 5432. The connection to the database server from the forums server is using its hostname. Is it possible that the DNS resolution is what's taking so long?

    Read the article

  • Consolidate Data in Private Clouds, But Consider Security and Regulatory Issues

    - by Troy Kitch
    The January 13 webcast Security and Compliance for Private Cloud Consolidation will provide attendees with an overview of private cloud computing based on Oracle's Maximum Availability Architecture and how security and regulatory compliance affects implementations. Many organizations are taking advantage of Oracle's Maximum Availability Architecture to drive down the cost of IT by deploying private cloud computing environments that can support downtime and utilization spikes without idle redundancy. With two-thirds of sensitive and regulated data in organizations' databases private cloud database consolidation means organizations must be more concerned than ever about protecting their information and addressing new regulatory challenges. Join us for this webcast to learn about greater risks and increased threats to private cloud data and how Oracle Database Security Solutions can assist in securely consolidating data and meet compliance requirements. Register Now.

    Read the article

< Previous Page | 123 124 125 126 127 128 129 130 131 132 133 134  | Next Page >