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  • Oracle Database In-Memory Launch Featuring Larry Ellison – June 10

    - by Roxana Babiciu
    For more than three-and-a-half decades, Oracle has defined database innovation. With our market-leading technologies, customers have been able to out-think and out-perform their competition. Soon they will be able to do that even faster. At a live launch event and simultaneous webcast, Larry Ellison will reveal the future of the database. Promote this strategic event to customers. Registration for the live event begins at 9am PT.

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  • Oracle Database In-Memory Launch Featuring Larry Ellison – June 10

    - by Cinzia Mascanzoni
    For more than three-and-a-half decades, Oracle has defined database innovation. With our market-leading technologies, customers have been able to out-think and out-perform their competition. Soon they will be able to do that even faster. At a live launch event and simultaneous webcast, Larry Ellison will reveal the future of the database. Promote this strategic event to partners and customers. Registration for the live event begins at 5pm GMT, 6pm CET.

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  • Database source control

    - by Bojan Skrchevski
    Should database files(scripts etc.) be on source control? If so, what is the best method to keep it and update it there? Is there even a need for database files to be on source control since we can put it on a development server where everyone can use it and make changes to it if needed. But, then we can't get it back if someone messes it up. What approach is best used for databases on source-control?

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  • SQL Saturday Birmingham #328 Database Design Precon In One Week

    - by drsql
    On September 22, I will be doing my "How to Design a Relational Database" pre-conference session in Birmingham, Alabama. You can see the abstract here if you are interested, and you can sign up there too, naturally. At just $100, which includes a free ebook copy of my database design book, it is a great bargain and I totally promise it will be a little over 7 hours of talking about and designing databases, which will certainly be better than what you do on a normal work day, even a Friday....(read more)

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  • How to use database adapters' cursors safely?

    - by lvictorino
    I started to use psycopg2 to connect my little python script to a PostgreSQL database few days ago. After some research I found that a lot of database connector, like psycopg, work using cursors. I know what is a cursor and how to use it. But I still wonder if it's safe to use the same cursor all along the script life. Is it safe? Or would it be preferable to use a different cursor for each query?

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  • 2nd JULY 2013: Oracle Database 12c Technical Training Webcast

    - by Cinzia Mascanzoni
    This session will focus on the specific needs of our Oracle partner community and developers. We'll provide insight into the many features and capabilities your customers will be looking to leverage in their own environments. Topics include: Consolidation and Cloud Strategies Deep dive into the key Database Options Migrating to Oracle Database 12c Click here for details on how to join the webcast.

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  • Adatbázis szerver konszolidáció Oracle technológiákkal - eroforrás allokálás

    - by Lajos Sárecz
    Szerver konszolidációnál alapmegoldás a virtualizáció, pedig az Oracle Database rendelkezik olyan képességekkel, melyekkel a virtualizáció elonyeit élvezhetjük, ám teljesítményben felülmúljuk azt. Több adatbázis konszolidációját meg lehet oldani egy nagy szerveren, vagy egy több szerverbol álló klaszteren. Bármelyik megoldást is választjuk (ezek elonyeivel és hátrányaival most nem foglalkozok), az egyik legfontosabb megoldandó probléma, hogy biztonsággal el tudjuk oket szeparálni akár adatbiztonsági, akár eroforrás kezelési szempontból. A szoftveres és hardveres virtualizációk lehetové teszik, hogy a szerver eroforrásait több virtuális szerver között felosszuk, ezáltal elszeparálhatók a párhuzamosan futó adatbázis példányok. Ezek a megoldások általában költségesek, plusz adminisztrációt jelentenek és teljesítmény csökkenést okoznak. Az alábbiakban röviden összeszedem, hogy az Oracle Database milyen eroforrás szeparációs technológiákkal rendelkezik, melyek jól használhatók adatbázis konszolidáció esetén: Adatbázis szolgáltatások: Azt talán minden Oracle adatbázis-kezelovel foglalkozó szakérto tudja, hogy akliensek az adatbázist az adatbázis szolgáltatás nevével érik el. Alapértelmezetten minden adatbázis egyetlen szolgáltatással rendelkezik, mely automatikusan a 'global database name' paraméterrel megegyezo nevet kapja az adatbázis létrehozásakor. Ugyanakkor egy adatbázishoz több szolgáltatás név is rendelheto. A szolgáltatásokkal csoportosíthatók a különbözo feladatokat végrehajtó kliensek, és a szolgáltatásokhoz rendelhetjük hogy melyik kliens csoportnak mennyi rendszer eroforrást allokálunk. Klaszteres adatbázisok (RAC) esetén egy szolgáltatás több adatbázis példányhoz (szerverhez) kapcsolódhat, amivel valós terheléstol függo terhelés elosztás valósítható meg (itt már szerepet kap egyébként a Resource Manager is, lásd késobb). Az alkalmazás számára irrelevánssá válik, hogy az adott szolgáltatást mely szerver szolgálja ki. A szolgáltatásokhoz kapcsolódó eroforrások menet közben dinamikusan bovíthetok, de kezelik a kieso eroforrások hiányát is (failover). Database Resource Manager: Az Oracle Database Resource Manager az adatbázis szintjén kezeli az eroforrásokat, a CPU használatot szabályozza az adatbázis terhelés kontrolljával. A Resource Manager egy CPU-n adott pillanatban csak egyetlen Oracle processz futtatását engedélyezi, miközben a többit várakoztatja (ahogy az egy operációs rendszer ütemezojében is muködik). A Resource Manager csak akkor lép muködésbe, amikor a CPU terhelése eléri a 100%-ot. Ekkor a Resource Plan-nek megfeleloen korlátozhatja az egyes eroforrás csoportok számára elérheto eroforrás (CPU) mennyiségét. Instance Caging: A Resource Manager részeként az Oracle Database 11gR2-tol elérheto Instance Caging technológiával virtualizáció és operációs rendszer szintu eroforrás felosztás nélkül az adatbázis példány szintjén lehet szabályozni az allokált CPU számot. Erre akkor lehet szükség, ha egy szerveren több példány futtatására van szükség. A Resource Manager bekapcsolásával és a cpu_count paraméter beállításával lehet adatbázis példányonként aktiválni az Instance Caging funkcionalitást. A cpu_count egy dinamikus paraméter, célszeru arra az értékre állítani, ahány CPU-t az adott adatbázis példány maximálisan igényelhet. Lehetoség van túlméretezni a példányok számára rendelkezésre álló processzorok számát. Például egy 4 CPUs- szerver esetében ha van 3 példányunk, mindháromnak adhatunk 3 CPU-t. Azonban ha mindegyik terhelés alatt van, akkor a példány számára maximum allokált CPU szám osztva összes allokált CPU számmal arányban részesül a processzorból, ami a példában 33,33%, azaz 1,33 CPU. Input Output Resource Manager (IORM):Nem csak a processzorok használatát szabályozhatjuk, lehetoség van a megosztott storage eroforrásainak felosztására is. Az Input Output Resorce Manager (IORM) alkalmazásával storage szinten tudjuk szabályozni az adatbázisok közötti és azokon belüli minimális I/O szinteket. Database Vault: Ugyanazon adatbázisba konszolidált alkalmazások esetén a rendszergazda szerepkörök szeparálása lehetséges az Oracle Database Vault technológiával. Ezzel elérheto az, hogy biztonságosan konszolidáljuk adatbázisainkat úgy, hogy minden adminisztrátor csak a hozzá tartozó adatokat, objektumokat lássa, módosíthassa.

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  • Efficiently separating Read/Compute/Write steps for concurrent processing of entities in Entity/Component systems

    - by TravisG
    Setup I have an entity-component architecture where Entities can have a set of attributes (which are pure data with no behavior) and there exist systems that run the entity logic which act on that data. Essentially, in somewhat pseudo-code: Entity { id; map<id_type, Attribute> attributes; } System { update(); vector<Entity> entities; } A system that just moves along all entities at a constant rate might be MovementSystem extends System { update() { for each entity in entities position = entity.attributes["position"]; position += vec3(1,1,1); } } Essentially, I'm trying to parallelise update() as efficiently as possible. This can be done by running entire systems in parallel, or by giving each update() of one system a couple of components so different threads can execute the update of the same system, but for a different subset of entities registered with that system. Problem In reality, these systems sometimes require that entities interact(/read/write data from/to) each other, sometimes within the same system (e.g. an AI system that reads state from other entities surrounding the current processed entity), but sometimes between different systems that depend on each other (i.e. a movement system that requires data from a system that processes user input). Now, when trying to parallelize the update phases of entity/component systems, the phases in which data (components/attributes) from Entities are read and used to compute something, and the phase where the modified data is written back to entities need to be separated in order to avoid data races. Otherwise the only way (not taking into account just "critical section"ing everything) to avoid them is to serialize parts of the update process that depend on other parts. This seems ugly. To me it would seem more elegant to be able to (ideally) have all processing running in parallel, where a system may read data from all entities as it wishes, but doesn't write modifications to that data back until some later point. The fact that this is even possible is based on the assumption that modification write-backs are usually very small in complexity, and don't require much performance, whereas computations are very expensive (relatively). So the overhead added by a delayed-write phase might be evened out by more efficient updating of entities (by having threads work more % of the time instead of waiting). A concrete example of this might be a system that updates physics. The system needs to both read and write a lot of data to and from entities. Optimally, there would be a system in place where all available threads update a subset of all entities registered with the physics system. In the case of the physics system this isn't trivially possible because of race conditions. So without a workaround, we would have to find other systems to run in parallel (which don't modify the same data as the physics system), other wise the remaining threads are waiting and wasting time. However, that has disadvantages Practically, the L3 cache is pretty much always better utilized when updating a large system with multiple threads, as opposed to multiple systems at once, which all act on different sets of data. Finding and assembling other systems to run in parallel can be extremely time consuming to design well enough to optimize performance. Sometimes, it might even not be possible at all because a system just depends on data that is touched by all other systems. Solution? In my thinking, a possible solution would be a system where reading/updating and writing of data is separated, so that in one expensive phase, systems only read data and compute what they need to compute, and then in a separate, performance-wise cheap, write phase, attributes of entities that needed to be modified are finally written back to the entities. The Question How might such a system be implemented to achieve optimal performance, as well as making programmer life easier? What are the implementation details of such a system and what might have to be changed in the existing EC-architecture to accommodate this solution?

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  • Need a solution to store images (1 billion, 1000,000,000) which users will upload to a website via php or javascript upload [on hold]

    - by wish_you_all_peace
    I need a solution to store images (1 billion) which users will upload to a website via PHP or Javascript upload (website will have 1 billion page views a month using Linux Debian distros) assuming 20 photos per user maximum (10 thumbnails of size 90px by 90px and 10 large, script resized images of having maximum width 500px or maximum height 500px depending on shape of image, meaning square, rectangle, horizontal, vertical etc). Assume this to be a LEMP-stack (Linux Nginx MySQL PHP) social-media or social-matchmaking type application whose content will be text and images. Since everyone knows storing tons of images (website users uploaded images in this case) are bad inside a single directory or NFS etc, please explain all the details about the architecture and configuration of the entire setup of storage solution, to store 1 billion images on any method you recommend (no third-party cloud storage like S3 etc. It has to be within the private data center using our own hardware and resources.). The solution has to include both the storage solution and organizing the images uploaded by users. How will we organize the users images if a single user will not have more than 20 images (10 thumbs and 10 large of having either width or height 500px)? Please consider that this has to be organized in a structural way so we can fetch a single user's images via PHP/Javascript or API programmatically through some type of user's unique identifier(s).

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  • Storing lots of large strings with frequent "appends" and few reads

    - by Thiago Moraes
    In my current project, I need to store a very long ASCII string to each instance of a given object. This string will receive an 2 appends per minute and will not be retrieved so frequently. The worst case scenario is a 5-10MB string. I'll have thousands of instances of my object and I'm worried that storing all those strings in the filesystem would not be optimal, but I can't think of a better solution. Can anyone suggest an alternative? Maybe a key-value store? In this case, which one? Any other thoughts?

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  • ?????????????????!Oracle Database ?????????

    - by Aya Sensui
    ?????????????????????????????????? ?????????????????????????????????????????????? ?????????????????????????????????????????????????? ??????????????????????????????????????????? ?????????????????????????????????? ??????????????????????????????????????????????? ?????????/?????????????????????????????????????????? ?????????????? ????????????????????????????????????????? ???????????????????????????????????? ??????????????????????????????????????????????? ????????????????????????????????????????????????????????? Oracle Database ????????????????? ??????????????????????????? ????????????????????????? ???????????????????????? ????????????????????????????????? ???????????????? ??????????????????????????????????!??????? ??????????????????? TIPS ???????????????? ?????!???????? ???????????????????????????????????????????????? Oracle Database ??????????????????????????????????????????? ??????????????????????????????????????? Oracle Database ????????????????????????????????????? ????????? FAILED_LOGIN_ATTEMPTS    ??????????? PASSWORD_LIFE_TIME       ????????? PASSWORD_REUSE_TIME      ???????????????????? PASSWORD_REUSE_MAX       ????????????????????????????? PASSWORD_LOCK_TIME       ????????????????????????????????????? PASSWORD_GRACE_TIME      ????????????????? PASSWORD_VERIFY_FUNCTION ??????????????????? (*1) (*1)????????????????????????? $ORACLE_HOME/rdbms/admin/utlpwdmg.sql ?????????????????? utlpwdmg.sql ????????? ???????????????????????????  - ?????????????????  - ???????????  - ??????????????  - ?????????????????????  - ???????????????????? ???????????????????????????????????? ???????????????????????????????????? ??????????????????????!?????? ????????????????????????????????????? ??????????????????????????????????? ????????????????????? ???????? SQL*Plus ??????????????????????? ????????????????????????? ???????????????????????????????????? ??????????????????·???????????????? ???Enterprise Edition ?????????????????? Virtual Private Database(VPD) ??????????? ???????????????????????????????????????????????? ?????????????????????????? ???????????????????????????????????????????????? ????????????????????????????? ?????????????????????????????????? ????????????????????????????? ??????????????????????????????????? ???????????????????? ?????????????????????????????? ???????????????????????????????? ????????????????????????????????????????? ??????????????????????????????????????????? ????????????????????????????? Oracle Database ????????????????????Oracle Advanced Security ????????????? ?????????????????????????????? ????DBMS_OBFUSCATION_TOOLKIT ? DBMS_CRYPTO ???????/????? PL/SQL ?????? ?????????????????? ?????????????????????????????????????????????? ?????????????????????????? ????????????!???? Oracle Database ?????????????????????????????????? ????????????????????????DBA ??????????????????? 4 ???? ??????????? Enterprise Edition??????????? ?????DBA ??????????????????????? ?????????????????????? [????] ???????????????????????????????????? ????????????????????  - ????????????  - ?????(SYSOPER, SYSDBA)???????????  - ??????????(??????????) ?????????????????????????????????·?????? ????????????????????????????????? ?????????????????????????????? [DBA ??] ???????????(DBA ??)???????????????????? ??????????????????????????AUDIT_SYS_OPERATIONS ?????? TRUE ????????????? ????? OS ??????????????/????????????????????? ???????????????????????????????????????????????? [????] ???????????????????????????????????? ??AUDIT_TRAIL ??????????????????????????? ???????????  - ???????    ????·????????  - ????????    ??????????????????????????????  - ????    ????????????????  - SQL ???    ????????????? DDL ?????? [??????????] ??????(?????????)??????????????????? Enterprise Edition ?????????? ??????????????????????? ??? Oracle Database ???????????????????????????????????? ??????????????????????????????????????????????? ????????????????????

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  • GUID type in database

    - by 5YrsLaterDBA
    GUID is not an official data type in database. In our existing SQL Server design, the Uniqueidentifier type is used for GUID value. Now we are switching to Sybase database. Should we use varchar(36) to replace that Uniqueidentifier type? I am still confused by GUID. I was told GUID is 16 bytes long but its character string is 36 characters in length. I must missed something.

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  • jBASE 4.1 Database Noobster Questions

    - by Steve Johnson
    I am a software developer with devlopment experience in C#, C++ .Net alongwith SQL Server 2005/08, Oracle and mysql. But somehow i dont get jBASE to work at Windows XP SP3 machine. My goal is setup user accounts, create database on a JBASE ainstallation, authenticate and backup/restore few table via a C++ program. And i dont need to do it with builtin backup/restore tools of jBASE. I am able to install jBASe 4.1 aling with all its accessories on my WINXPSP3 machine. I was able to run the jSlimserver and TEMENOUS server along with licnesing server. I was able to add the license key as well. But after that what i was supposed to do? i have no idea about it. The docs and online help doesnt answer a simple question of how to create a database! The google search results from the jbase site all go to the 404 Pages! Can a jBASE expert guide to the following steps: Create a jBASE database. Create users Authenticate via those users Connect to database Create tables and insert data. Connect via a C++ or C# program to connect to jBASE DB and backup/restore tables. I know that this is too much too ask but i dont get to get the JBASE system. I cant get it to work on my System somehow. Btw, jdc and jexloree doesnt seem to do anything. I have checked that enironmental variables for jBASE are setup correctly and i have verified them. There are no extra JRE or JDK installations on my system. Besides all that, only licensing client, slim server and temenous server seem to run and listen for connections and no other execuatable ever seems to work. A simple tutorial to achieve the objective will be highly appreciated. Also if anyone can point out the mistake that i have done or anything i might need to check, then please do so. I will be highly encouraged and obliged. Thanks Steve

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  • Best method to store Enum in Database

    - by LnDCobra
    What is the best method of storing an Enum in a Database using C# And Visual Studio and MySQL Data Connector. I am going to be creating a new project with over 100 Enums, and majority of them will have to be stored in the database. Creating converters for each one would be a long winded process therefore I'm wondering if visual studio or someone has any methods for this that I haven't heard off.

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  • database splitting; multiple tables

    - by Ben
    I am coding a classifieds ad web app. What is the optimal way to structure the database for this? Because of the high repeatability, would it be faster (in terms of searching/indexing) to have a separate table in the database for each city? Or would it be okay to just have one table for every city (it would have a lot of rows..). The classifieds table has id, user_id, city_name, category,[description and detail fields].

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  • Database design: OR relation

    - by Ant
    I have a database with a "users" table containing data about my users. Each user is to be linked to a company or a college. I wish to have two separate tables "college" and "company" each with a field "ID". So how do I link each record in the users table to either a company or a college? The basic thing is that I wish to establish an "OR" relationship in the database.

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  • Open/Close database connection in django

    - by mp0int
    I am using Django and Postgresql as my DBMS. I wish to set a setting that enables to enable/disable database connection. When the connection is set to closed (in settings.py) the site will display a message such as "meintanence mode" or something like that. Django will not show any db connection error message (or mail them to admins). It is appreciated if django do not try to connect to the database at all.

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  • Best practices to store CreditCard information into DataBase

    - by Garis Suero
    In my country the online payments are not an old thing, the first time i saw a web application taking payments directly to a local bank account was last year. So, Im a newbie coding web payment system. My question is, what are the best practices to store creditcard information into the database... I have many ideas: encrypting the creditcard, database security restriction, etc. What have you done?

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  • Do different operating systems have different read and write speeds?

    - by Ivan
    If I have two different operating systems, such as Windows 8 and Ubuntu, running on the same hardware, will the two operating systems have different read and write speeds? My guess is that there would be minimal difference between operating systems and read and write speeds to the hard disk since the major limited factor is seeking; however, different operating systems may use different file systems in order to attempt to reduce seek time in the hard disk. Likewise, I'm sure that modern operating systems will not actually write directly to the hard disk, and instead will just have it in memory and marked with a dirty bit. Are there any studies that show differences in read and write speeds between OSs? Or would the file system being used by the OS matter more than the OS itself?

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  • What are some strategies for maintaining a common database schema with a team of developers and no D

    - by Mahmoud Abdelkader
    I'm curious about how others have approached the problem of maintaining and synchronizing database changes across many (10+) developers without a DBA? What I mean, basically, is that if someone wants to make a change to the database, what are some strategies to doing that? (i.e. I've created a 'Car' model and now I want to apply the appropriate DDL to the database, etc..) We're primarily a Python shop and our ORM is SQLAlchemy. Previously, we had written our models in such a way to create the models using our ORM, but we recently ditched this because: We couldn't track changes using the ORM The state of the ORM wasn't in sync with the database (e.g. lots of differences primarily related to indexes and unique constraints) There was no way to audit database changes unless the developer documented the database change via email to the team. Our solution to this problem was to basically have a "gatekeeper" individual who checks every change into the database and applies all accepted database changes to an accepted_db_changes.sql file, whereby the developers who need to make any database changes put their requests into a proposed_db_changes.sql file. We check this file in, and, when it's updated, we all apply the change to our personal database on our development machine. We don't create indexes or constraints on the models, they are applied explicitly on the database. I would like to know what are some strategies to maintain database schemas and if ours is seems reasonable. Thanks!

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  • SQL SERVER – Importing CSV File Into Database – SQL in Sixty Seconds #018 – Video

    - by pinaldave
    Importing data into database is one of the most important tasks. I often receive questions regarding what is the quickest way to insert CSV data or how to import CSV Data into SQL Server Table. Honestly the process is very simple and the script is even simpler. In today’s SQL in Sixty Seconds Video we will learn how quickly we can insert CSV data into SQL Server. The steps to import CSV are very simple. Create Table Use Bulk Insert to import the data Verify the data Done! Absolutely it is that simple. More on Importing CSV Data: SQL SERVER – Import CSV File Into SQL Server Using Bulk Insert – Load Comma Delimited File Into SQL Server SQL SERVER – Import CSV File into Database Table Using SSIS SQL SERVER – Create a Comma Delimited List Using SELECT Clause From Table Column SQL SERVER – Comma Separated Values (CSV) from Table Column SQL SERVER – Comma Separated Values (CSV) from Table Column – Part 2 I encourage you to submit your ideas for SQL in Sixty Seconds. We will try to accommodate as many as we can. If we like your idea we promise to share with you educational material. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Database, Pinal Dave, PostADay, SQL, SQL Authority, SQL in Sixty Seconds, SQL Query, SQL Scripts, SQL Server, SQL Server Management Studio, SQL Tips and Tricks, T SQL, Technology, Video

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