Search Results

Search found 40567 results on 1623 pages for 'database performance'.

Page 201/1623 | < Previous Page | 197 198 199 200 201 202 203 204 205 206 207 208  | 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

  • 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

  • best web database solution for scala for a high traffic site?

    - by egervari
    I am in charge of a rebuilding a website that gets about 250,000 visitors a day. We'd like to use Scala, but it does not work very well with Spring (in some minor cases) and Hibernate (there is a major and very annoying mismatch here if you want to use scala collections, which we do). The application itself is going to have about 40-50 tables. Other than Hibernate, is there an ORM that works awesome with Scala and is as performant and reliable as Hibernate? Does it also have the same capabilities, or are we going to run into leaky-abstractions if we don't use Hibernate? It would be a big risk for us to go with a framework that is newer and doesn't seem to have a lot of industry backing... and at the same time, Hibernate is a real pain to program against when using Scala. 1) The Java Collection <- Scala Collection is absolutely painful. There is a lot more boilerplate and crap to write. 2) The IDE doesn't import JavaConversions and java interfaces automatically... so we this needs to be done manually. Optimizing Imports in IDEA is going to destroy all the manual work. 3) There is also a performance cost to converting back and forth all the time in your domain objects and your dao classes. 4) Not to mention there needs to be a lot of casting, which produces code ugly as sin. I actually would love to write my own orm that is 100% tailored to scala, but obviously this is really outside of the scope of our project for now. So what is the best approach?

    Read the article

  • Ways to go about optimizing website performance WordPress, Amazon EC2 Apache and RDS MySQL

    - by fuzzybee
    I have 6 WordPress websites running on 1 single EC2 instance. All the the websites are connecting to databases in 1 same RDS instance. Earlier today, traffic to the largest website peaked and the RDS instance went bottle-neck - CPU utilization was 100% for over an hour. It affected all of my websites as it took them all forever to load. In order to prevent such issue from happening again, which of the following will matter most so that I invest time and effort in first of all? (I will work on all later, I just need to prioritise now) To improve caching for all websites To fine-tune the database server To fine-tune my Apache server What will be the effect on user experience for my websites? Some quick searches show that I should limit number of concurrent connections to my web server but wouldn't that prevent users from accessing my websites? More background: My largest website has 140k visits and 660k page views a month. The other 5 websites should add up much less than that. I'm using a large EC2 instance as the web server I'm using a medium RDS instance as the database server What I've already done: Use W3 Total Cache plugin for caching for most the websites, especially the largest one (I can barely anything else in terms of caching I could do for the largest website) Am I using my resources wastefully or is there simply not enough resources for my websites - or rather, how do I answer that question myself?

    Read the article

  • CPU/JVM/JBoss 7 slows down over time

    - by lukas
    I'm experiencing performance slow down on JBoss 7.1.1 Final. I wrote simple program that demostrates this behavior. I generate an array of 100,000 of random integers and run bubble sort on it. @Model public class PerformanceTest { public void proceed() { long now = System.currentTimeMillis(); int[] arr = new int[100000]; for(int i = 0; i < arr.length; i++) { arr[i] = (int) (Math.random() * 200000); } long now2 = System.currentTimeMillis(); System.out.println((now2 - now) + "ms took to generate array"); now = System.currentTimeMillis(); bubbleSort(arr); now2 = System.currentTimeMillis(); System.out.println((now2 - now) + "ms took to bubblesort array"); } public void bubbleSort(int[] arr) { boolean swapped = true; int j = 0; int tmp; while (swapped) { swapped = false; j++; for (int i = 0; i < arr.length - j; i++) { if (arr[i] > arr[i + 1]) { tmp = arr[i]; arr[i] = arr[i + 1]; arr[i + 1] = tmp; swapped = true; } } } } } Just after I start the server, it takes approximately 22 seconds to run this code. After few days of JBoss 7.1.1. running, it takes 330 sec to run this code. In both cases, I launch the code when the CPU utilization is very low (say, 1%). Any ideas why? I run the server with following arguments: -Xms1280m -Xmx2048m -XX:MaxPermSize=2048m -Djava.net.preferIPv4Stack=true -Dorg.jboss.resolver.warning=true -Dsun.rmi.dgc.client.gcInterval=3600000 -Dsun.rmi.dgc.server.gcInterval=3600000 -Djboss.modules.system.pkgs=org.jboss.byteman -Djava.awt.headless=true -Duser.timezone=UTC -Djboss.server.default.config=standalone-full.xml -Xrunjdwp:transport=dt_socket,address=8787,server=y,suspend=n I'm running it on Linux 2.6.32-279.11.1.el6.x86_64 with java version "1.7.0_07". It's within J2EE applicaiton. I use CDI so I have a button on JSF page that will call method "proceed" on @RequestScoped component PerformanceTest. I deploy this as separate war file and even if I undeploy other applications, it doesn't change the performance. It's a virtual machine that is sharing CPUs with another machine but that one doesn't consume anything. Here's yet another observation: when the server is after fresh start and I run the bubble sort, It utilizes 100% of one processor core. It never switches to another core or drops utilization below 95%. However after some time the server is running and I'm experiencing the performance problems, the method above is utilizing CPU core usually 100%, however I just found out from htop that this task is being switched very often to other cores. That is, at the beginning it's running on core #1, after say 2 seconds it's running on #5 then after say 2 seconds #8 etc. Furthermore, the utilization is not kept at 100% at the core but sometimes drops to 80% or even lower. For the server after fresh start, even though If I simulate a load, it never switches the task to another core.

    Read the article

  • High-performance Academic Server [closed]

    - by PHPsmith
    Suppose I want to build a server for the university's academic interests. The server is dedicated only to a site, where users (students and lecturers) just view and fill the academic data. But at a time (e.g. once a semester), about 12,000 students will access the site simultaneously. Due to limitation of resources, I have to build the server using free software (except for the operating system Windows 7, the university has been prepared). The hardware is also limited to the usual 4-core computers (eg, Ivy Bridge Intel Core i7-3770) with approximately 16GB of memory (DDR3 1600 MHz), equipped with an RJ-45 port (Intel 82 579 Gigabit Ethernet). With all these limitations, I have to choose the software (web server, database, etc) are appropriate for this purpose is achieved. I decided to create a site in PHP. Please help me by answering the following questions based on your expertise. (my prime candidate software to consider after googling) Web server which is faster & stable & secure, when implemented and optimized for PHP? And why? (nginx) PHP accelerator which is faster & stable & compatible with the selected web server? And why? (APC with Zend Optimizer+) Database which is faster & stable & secure, when implemented and optimized for selected web server and selected PHP accelerator? (MySQL) Are there any errors that have been or will be happening from my condition is? If there is, please enlighten me? Is there anything else I need to know in order to achieve this goal? If there is, please enlighten me? I understand that the performance also depends on the implementation of source-code program, so I assume it will create a site with the best efficiency (e.g. using AJAX).

    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

  • Why the “Toilet” Analogy for SQL might be bad

    - by Jonathan Kehayias
    Robert Davis(blog/twitter) recently blogged The Toilet Analogy … or Why I Never Recommend Increasing Worker Threads , in which he uses an analogy for why increasing the value for the ‘max worker threads’ sp_configure option can be bad inside of SQL Server.  While I can’t make an argument against Robert’s assertion that increasing worker threads may not improve performance, I can make an argument against his suggestion that, simply increasing the number of logical processors, for example from...(read more)

    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

  • What a Performance! MySQL 5.5 and InnoDB 1.1 running on Oracle Linux

    - by zeynep.koch(at)oracle.com
    The MySQL performance team in Oracle has recently completed a series of benchmarks comparing Read / Write and Read-Only performance of MySQL 5.5 with the InnoDB and MyISAM storage engines. Compared to MyISAM, InnoDB delivered 35x higher throughput on the Read / Write test and 5x higher throughput on the Read-Only test, with 90% scalability across 36 CPU cores. A full analysis of results and MySQL configuration parameters are documented in a new whitepaperIn addition to the benchmark, the new whitepaper, also includes:- A discussion of the use-cases for each storage engine- Best practices for users considering the migration of existing applications from MyISAM to InnoDB- A summary of the performance and scalability enhancements introduced with MySQL 5.5 and InnoDB 1.1.The benchmark itself was based on Sysbench, running on AMD Opteron "Magny-Cours" processors, and Oracle Linux with the Unbreakable Enterprise Kernel You can learn more about MySQL 5.5 and InnoDB 1.1 from here and download it from here to test whether you witness performance gains in your real-world applications.  By Mat Keep

    Read the article

< Previous Page | 197 198 199 200 201 202 203 204 205 206 207 208  | Next Page >