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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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  • ?????????????????!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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  • Techniques for querying a set of object in-memory in a Java application

    - by Edd Grant
    Hi All, We have a system which performs a 'coarse search' by invoking an interface on another system which returns a set of Java objects. Once we have received the search results I need to be able to further filter the resulting Java objects based on certain criteria describing the state of the attributes (e.g. from the initial objects return all objects where x.y z && a.b == c). The criteria used to filter the set of objects each time is partially user configurable, by this I mean that users will be able to select the values and ranges to match on but the attributes they can pick from will be a fixed set. The data sets are likely to contain <= 10,000 objects for each search. The search will be executed manually by the application user base probably no more than 2000 times a day (approx). It's probably worth mentioning that all the objects in the result set are known domain object classes which have Hibernate and JPA annotations describing their structure and relationship. Off the top of my head I can think of 3 ways of doing this: For each search persist the initial result set objects in our database, then use Hibernate to re-query them using the finer grained criteria. Use an in-memory Database (such as hsqldb?) to query and refine the initial result set. Write some custom code which iterates the initial result set and pulls out the desired records. Option 1 seems to involve a lot of toing and froing across a network to a physical Database (Oracle 10g) which might result in a lot of network and disk activity. It would also require the results from each search to be isolated from other result sets to ensure that different searches don't interfere with each other. Option 2 seems like a good idea in principle as it would allow me to do the finer query in memory and would not require the persistence of result data which would only be discarded after the search was complete. Gut feeling is that this could be pretty performant too but might result in larger memory overheads (which is fine as we can be pretty flexible on the amount of memory our JVM gets). Option 3 could be very performant but is something I would like to avoid as any code we write would require such careful testing that the time taken to acheive something flexible and robust enough would probably be prohibitive. I don't have time to prototype all 3 ideas so I am looking for comments people may have on the 3 options above, plus any further ideas I have not considered, to help me decide which idea might be most suitable. I'm currently leaning toward option 2 (in memory database) so would be keen to hear from people with experience of querying POJOs in memory too. Hopefully I have described the situation in enough detail but don't hesitate to ask if any further information is required to better understand the scenario. Cheers, Edd

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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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  • Fun with Database Mail

    - by DavidWimbush
    I just had some fun with a new server I set up. I configured Database Mail but it wouldn't send mail. In the Database Log was an error message I've never had before: The mail could not be sent to the recipients because of the mail server failure. (Sending Mail using Account 1 (2010-02-15T16:58:54). Exception Message: Could not connect to mail server. (A non-recoverable error occurred during a database lookup). ) I looked around and found this forum thread: http://www.sqlteam.com/forums/topic.asp?TOPIC_ID=139909. I looked into the anti-virus software and firewall but neither of those helped. Then I noticed the last post where they original poster said "oops, I put an @ in the name of the SMTP server". How I laughed. What a ***! At least my problem isn't because I did something that careless. But then that little voice in my head said "Better check, just to be on the safe side". SMTP Server Name: smtp@domain. Who's the *** now? So, rbarlow, thanks very much for making the same silly mistake first so I could find the answer. (And I'm sorry for thinking you were a ***!)

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  • SQL SERVER – Attach or Detach Database – SQL in Sixty Seconds #068

    - by Pinal Dave
    When we have to move a database from one server to another server or when we have to move a database from one file to another file, we commonly use Database Attach or Detach process. I have been doing this for quite a while as well. Recently, when I was visiting an organization I found that in this organization lots of developers are still using an older version of the code to attach the database. I quickly pointed that out to them the new method to attach the database, however it was really interesting to find out that they really did not know that sp_attach_db is now a deprecated method to attach the database. This really made me to do today’s SQL in Sixty Seconds. I demonstrate in this SQL in Sixty Seconds how to attach or detach the database using a new method of attaching database. The code which I have used in this code is over here: -- Detach Database USE [master] GO EXEC MASTER.dbo.sp_detach_db @dbname = N'AdventureWorks2014_new' GO -- Deprecated Way to Attach Database USE [master] GO EXEC MASTER.dbo.sp_attach_db 'AdventureWorks2014_new', 'E:\AdventureWorks2012_Data_new.mdf', 'E:\AdventureWorks2012_log_new.ldf' GO -- Correct Way to Attach Database USE [master] GO CREATE DATABASE [AdventureWorks2014_new] ON ( FILENAME = 'E:\AdventureWorks2012_Data_new.mdf'), ( FILENAME = 'E:\AdventureWorks2012_log_new.ldf') FOR ATTACH GO Here is the question back to you – Do you still use old methods to attach database? If yes, I suggest that you start using the new method onwards. SQL in Sixty Seconds Video I have attempted to explain the same subject in simple words over in following video. Action Item Here are the blog posts I have previously written on the subject of SA password. You can read it over here: SQL SERVER – 2005 – T-SQL Script to Attach and Detach Database SQL SERVER – Move Database Files MDF and LDF to Another Location SQL SERVER – 2005 Take Off Line or Detach Database SQL SERVER – Attach mdf file without ldf file in Database SQL SERVER – Copy Database from Instance to Another Instance – Copy Paste in SQL Server You can subscribe to my YouTube Channel for frequent updates. Reference: Pinal Dave (http://blog.sqlauthority.com)Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQLAuthority Book Review, SQLAuthority News, T SQL, Video

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  • SQL SERVER – Database in RESTORING State for Long Time

    - by Pinal Dave
    A very interesting question I received the other day. “Our database has been in restoring stage for a long time. We have already restored all the necessary files there. After restoring the files we are expecting that  the database will be in operational mode, however, it is continuously in the restoring mode. Any suggestion?” The question is very common. I sent user follow up emails to understand what is actually going on with the user. I realized after restoring their bak files and log files their database was in the restoring state because they had not restored the latest log file with RECOVERY options. As they had completed all the database restore sequence (bak and log in order), the real need for them was to recover the database from norecovery state. User can restore log files till the database is no recovery mode. If the database is recovered it will be in operation and it can continue database operation. If the database has another operations we cannot restore further log as the chain of the log file after the database is recovered is meaningless. This is the reason why the database has to be norecovery state when it is restored. There are three different ways to recover the database. 1) Recover the database manually with following command. RESTORE DATABASE database_name WITH RECOVERY 2) Recover the database with the last log file. RESTORE LOG database_name FROM backup_device WITH RECOVERY 3) Recover the database when bak is restored RESTORE DATABASE database_name FROM backup_device WITH RECOVERY To understand how the backup restores timeline works read Backup Timeline and Understanding of Database Restore Process in Full Recovery Model. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Backup and Restore, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • An XML file or Database?

    - by webnoob
    I am re-writing a section of my site and am trying to decide how much of a rewrite this will be. At the moment I have a web service feed that generates an xml once per day. I then use this xml file on my website to generate the general structure. I am trying to decide if this information should be located in the database or stay in the xml file. The file can range from 4mb - 12mb. The files depth can go on and on so I have to recurse to find the data I want. I use the .NET serializer classes and store the serialized file in a global variable to avoid re-serializing it each time the page is loaded. My reasons for thinking a database would be better are: I would know exactly where I am in the file by using an internal ID so I wouldn't have to recurse the file to get information. I wouldn't have to load / serialize the XML and could just use my already open database connections. Searching for the data in the file would be quicker(?) as I would just perform an SQL query rather than re-cursing the file. Has anyone got any ideas which is better and which option uses more resources on the server or be quicker? EDIT: The file is read every time the web page is loaded (although only serialized once). It isn't written to by standard users (only by an admin task that runs in the middle of the night). This is my initial investigation before mocking up.

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  • Designing a large database with multiple sources

    - by CatchingMonkey
    I have been tasked with redesigning, or at worst optimising the structure of a database for a data warehouse. Currently, the database has 4 other source databases (which is due to expand to X number of others), all of which have their own data structures, naming conventions etc. At the moment an overnight SSIS package pulls the data from the various source and then for each source coverts the data into a standardised, usable format. These tables are then appended to each other creating a 60m row, 40 column beast!. This table is then used in a variety of ways from an OLAP cube to a web front end. The structure has been in place for a very long time, and the work I have been able to prove the advantages of normalisation, and this is the way I would like to go. The problem for me is that the overnight process takes so long I don't then want to spend additional time normalising the last table into something usable. Can anyone offer any insight or ideas into the best way to restructure or optimise the database efficiently? Edit: All the databases are MS SQL Server 2008 R2 Thanks in advance CM

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  • How should I evaluate the Database Solution for Large Data Application

    - by GµårÐïåñ
    Background I have been tasked to write an application that will be a combination of document and inventory management in VB.net which will be used to store document images in TIFF, PDF, XPS, TXT, DOC, PPT and so on as binary data that can be retrieved for viewing, printing, and possible OCR to be searchable as well along with meta data such as sender, recipient, type of document, date, source, etc. So the table would probably be something like: DOC_NAME, DOC_DATE, NOTES, ... DOC_BINARY (where the actual document will be put inside) Help Please I need help with understanding how to evaluate my database options. What my concern is finding a database solution that will not become unstable due to size restrictions, records limitations and performance. Some of the options are MS_SQL, SQL Express, SQLite, mySQL, and Access. Now I can pretty much eliminate Access right off the bat as it is just too limiting and not scalable. I can further eliminate SQL Express because of the 2 GB limit and again scalability. So I believe that leaves me with MS_SQL, SQLite and mySQL (note, I am open to alternatives). And this is where I need help in understanding how to evaluate those databases. The goal is that the data is all in one place (a single file) that will make backup and portability easier. For small volume usage, pretty much any solution will hold for a while, but my goal is to think ahead and make sure its able to withstand heavy large volume usage as well. Another consideration is also the interoperability with .NET and stability of such code to avoid errors and memory leaks. How should I evaluate my database options for this scenario?

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  • Pros and cons of making database IDs consistent and "readable"

    - by gmale
    Question Is it a good rule of thumb for database IDs to be "meaningless?" Conversely, are there significant benefits from having IDs structured in a way where they can be recognized at a glance? What are the pros and cons? Background I just had a debate with my coworkers about the consistency of the IDs in our database. We have a data-driven application that leverages spring so that we rarely ever have to change code. That means, if there's a problem, a data change is usually the solution. My argument was that by making IDs consistent and readable, we save ourselves significant time and headaches, long term. Once the IDs are set, they don't have to change often and if done right, future changes won't be difficult. My coworkers position was that IDs should never matter. Encoding information into the ID violates DB design policies and keeping them orderly requires extra work that, "we don't have time for." I can't find anything online to support either position. So I'm turning to all the gurus here at SA! Example Imagine this simplified list of database records representing food in a grocery store, the first set represents data that has meaning encoded in the IDs, while the second does not: ID's with meaning: Type 1 Fruit 2 Veggie Product 101 Apple 102 Banana 103 Orange 201 Lettuce 202 Onion 203 Carrot Location 41 Aisle four top shelf 42 Aisle four bottom shelf 51 Aisle five top shelf 52 Aisle five bottom shelf ProductLocation 10141 Apple on aisle four top shelf 10241 Banana on aisle four top shelf //just by reading the ids, it's easy to recongnize that these are both Fruit on Aisle 4 ID's without meaning: Type 1 Fruit 2 Veggie Product 1 Apple 2 Banana 3 Orange 4 Lettuce 5 Onion 6 Carrot Location 1 Aisle four top shelf 2 Aisle four bottom shelf 3 Aisle five top shelf 4 Aisle five bottom shelf ProductLocation 1 Apple on aisle four top shelf 2 Banana on aisle four top shelf //given the IDs, it's harder to see that these are both fruit on aisle 4 Summary What are the pros and cons of keeping IDs readable and consistent? Which approach do you generally prefer and why? Is there an accepted industry best-practice?

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  • Dentrix database file

    - by user1050116
    I have dentrix database files, but i don't know which database engine support it. I read online that it support c-Tree database engine, but i am fail to open any files/database into it. Database file are like test.dat and test.idx and many more files are there like this file extensions only. Please help me this, how can i open these files and database. Which database engine will support to open these files?

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  • Getting a Database into Source Control

    - by Grant Fritchey
    For any number of reasons, from simple auditing, to change tracking, to automated deployment, to integration with application development processes, you’re going to want to place your database into source control. Using Red Gate SQL Source Control this process is extremely simple. SQL Source Control works within your SQL Server Management Studio (SSMS) interface.  This means you can work with your databases in any way that you’re used to working with them. If you prefer scripts to using the GUI, not a problem. If you prefer using the GUI to having to learn T-SQL, again, that’s fine. After installing SQL Source Control, this is what you’ll see when you open SSMS:   SQL Source Control is now a direct piece of the SSMS environment. The key point initially is that I currently don’t have a database selected. You can even see that in the SQL Source Control window where it shows, in red, “No database selected – select a database in Object Explorer.” If I expand my Databases list in the Object Explorer, you’ll be able to immediately see which databases have been integrated with source control and which have not. There are visible differences between the databases as you can see here:   To add a database to source control, I first have to select it. For this example, I’m going to add the AdventureWorks2012 database to an instance of the SVN source control software (I’m using uberSVN). When I click on the AdventureWorks2012 database, the SQL Source Control screen changes:   I’m going to need to click on the “Link database to source control” text which will open up a window for connecting this database to the source control system of my choice.  You can pick from the default source control systems on the left, or define one of your own. I also have to provide the connection string for the location within the source control system where I’ll be storing my database code. I set these up in advance. You’ll need two. One for the main set of scripts and one for special scripts called Migrations that deal with different kinds of changes between versions of the code. Migrations help you solve problems like having to create or modify data in columns as part of a structural change. I’ll talk more about them another day. Finally, I have to determine if this is an isolated environment that I’m going to be the only one use, a dedicated database. Or, if I’m sharing the database in a shared environment with other developers, a shared database.  The main difference is, under a dedicated database, I will need to regularly get any changes that other developers have made from source control and integrate it into my database. While, under a shared database, all changes for all developers are made at the same time, which means you could commit other peoples work without proper testing. It all depends on the type of environment you work within. But, when it’s all set, it will look like this: SQL Source Control will compare the results between the empty folders in source control and the database, AdventureWorks2012. You’ll get a report showing exactly the list of differences and you can choose which ones will get checked into source control. Each of the database objects is scripted individually. You’ll be able to modify them later in the same way. Here’s the list of differences for my new database:   You can select/deselect all the objects or each object individually. You also get a report showing the differences between what’s in the database and what’s in source control. If there was already a database in source control, you’d only see changes to database objects rather than every single object. You can see that the database objects can be sorted by name, by type, or other choices. I’m going to add a comment such as “Initial creation of database in source control.” And then click on the Commit button which will put all the objects in my database into the source control system. That’s all it takes to get the objects into source control initially. Now is when things can get fun with breaking changes to code, automated deployments, unit testing and all the rest.

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