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• Database Formatting for Album Tracks

  - by Sev

  I would like to store album's track names in a single field in a database. The number of tracks are arbitrary for each album. Each album is one record in the table. Each track must be linked to a specific URL which also should be stored in the database somewhere. Is it possible to do this by storing them in a single field, or is a relational table for the track names/urls the only way to go?

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• Is there anyway to change the database server without stopping the database?

  - by Tattat

  I have a database in data center, which is running MySQL, and I want to change the database from data center to host in my company. At that time, I don't want to stop the data base in the data center, is there anyway to this kind of integeration? Thank you...

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• database deign advice wanted: double data entry

  - by john

  hi, I'm designing a database for capturing clinical trial data. The data are entered twice by two persons, independently and the results must be matched. What are the best database tools to use to achieve the best results. Any one has similar experiences? Your helps are highly appreciated. thanks.

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• designing the database if depending on dynamic columns

  - by phani_yelugula

  In my project,"admin" can create text fields dynamically (using jsp +javascript) and enter can enter data in text fields for saving.in the back end i have to save them in database. here the problem is 1)how we can create columns dynamically depending on the textfields admin is creating. like if he is creating 5textfields then we should create 5 columns in database,if he going with 10 we should do 10 columns. im doing this in mysql,jsp,struts,hibernate

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• Analyze your IIS Log Files - Favorite Log Parser Queries

  The other day I was asked if I knew about a tool that would allow users to easily analyze the IIS Log Files, to process and look for specific data that could easily be automated. My recommendation was that if they were comfortable with using a SQL-like language that they should use Log Parser. Log Parser is a very powerful tool that provides a generic SQL-like language on top of many types of data like IIS Logs, Event Viewer entries, XML files, CSV files, File System and others; and it allows you...Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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• Analyze your IIS Log Files - Favorite Log Parser Queries

  - by The Official Microsoft IIS Site

  The other day I was asked if I knew about a tool that would allow users to easily analyze the IIS Log Files, to process and look for specific data that could easily be automated. My recommendation was that if they were comfortable with using a SQL-like language that they should use Log Parser . Log Parser is a very powerful tool that provides a generic SQL-like language on top of many types of data like IIS Logs, Event Viewer entries, XML files, CSV files, File System and others; and it allows you...(read more)

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• Speed up SQL Server queries with PREFETCH

  - by Akshay Deep Lamba

  Problem The SAN data volume has a throughput capacity of 400MB/sec; however my query is still running slow and it is waiting on I/O (PAGEIOLATCH_SH). Windows Performance Monitor shows data volume speed of 4MB/sec. Where is the problem and how can I find the problem? Solution This is another summary of a great article published by R. Meyyappan at www.sqlworkshops.com.  In my opinion, this is the first article that highlights and explains with working examples how PREFETCH determines the performance of a Nested Loop join.  First of all, I just want to recall that Prefetch is a mechanism with which SQL Server can fire up many I/O requests in parallel for a Nested Loop join. When SQL Server executes a Nested Loop join, it may or may not enable Prefetch accordingly to the number of rows in the outer table. If the number of rows in the outer table is greater than 25 then SQL will enable and use Prefetch to speed up query performance, but it will not if it is less than 25 rows. In this section we are going to see different scenarios where prefetch is automatically enabled or disabled. These examples only use two tables RegionalOrder and Orders.  If you want to create the sample tables and sample data, please visit this site www.sqlworkshops.com. The breakdown of the data in the RegionalOrders table is shown below and the Orders table contains about 6 million rows. In this first example, I am creating a stored procedure against two tables and then execute the stored procedure.  Before running the stored proceudre, I am going to include the actual execution plan. --Example provided by www.sqlworkshops.com --Create procedure that pulls orders based on City --Do not forget to include the actual execution plan CREATE PROC RegionalOrdersProc @City CHAR(20) AS BEGIN DECLARE @OrderID INT, @OrderDetails CHAR(200) SELECT @OrderID = o.OrderID, @OrderDetails = o.OrderDetails       FROM RegionalOrders ao INNER JOIN Orders o ON (o.OrderID = ao.OrderID)       WHERE City = @City END GO SET STATISTICS time ON GO --Example provided by www.sqlworkshops.com --Execute the procedure with parameter SmallCity1 EXEC RegionalOrdersProc 'SmallCity1' GO After running the stored procedure, if we right click on the Clustered Index Scan and click Properties we can see the Estimated Numbers of Rows is 24.    If we right click on Nested Loops and click Properties we do not see Prefetch, because it is disabled. This behavior was expected, because the number of rows containing the value ‘SmallCity1’ in the outer table is less than 25.   Now, if I run the same procedure with parameter ‘BigCity’ will Prefetch be enabled? --Example provided by www.sqlworkshops.com --Execute the procedure with parameter BigCity --We are using cached plan EXEC RegionalOrdersProc 'BigCity' GO As we can see from the below screenshot, prefetch is not enabled and the query takes around 7 seconds to execute. This is because the query used the cached plan from ‘SmallCity1’ that had prefetch disabled. Please note that even if we have 999 rows for ‘BigCity’ the Estimated Numbers of Rows is still 24.   Finally, let’s clear the procedure cache to trigger a new optimization and execute the procedure again. DBCC freeproccache GO EXEC RegionalOrdersProc 'BigCity' GO This time, our procedure runs under a second, Prefetch is enabled and the Estimated Number of Rows is 999.   The RegionalOrdersProc can be optimized by using the below example where we are using an optimizer hint. I have also shown some other hints that could be used as well. --Example provided by www.sqlworkshops.com --You can fix the issue by using any of the following --hints --Create procedure that pulls orders based on City DROP PROC RegionalOrdersProc GO CREATE PROC RegionalOrdersProc @City CHAR(20) AS BEGIN DECLARE @OrderID INT, @OrderDetails CHAR(200) SELECT @OrderID = o.OrderID, @OrderDetails = o.OrderDetails       FROM RegionalOrders ao INNER JOIN Orders o ON (o.OrderID = ao.OrderID)       WHERE City = @City       --Hinting optimizer to use SmallCity2 for estimation       OPTION (optimize FOR (@City = 'SmallCity2'))       --Hinting optimizer to estimate for the currnet parameters       --option (recompile)       --Hinting optimize not to use histogram rather       --density for estimation (average of all 3 cities)       --option (optimize for (@City UNKNOWN))       --option (optimize for UNKNOWN) END GO Conclusion, this tip was mainly aimed at illustrating how Prefetch can speed up query execution and how the different number of rows can trigger this.

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• SQL SERVER – Auditing and Profiling Database Made Easy with SQL Audit and Comply

  - by Pinal Dave

  Do you like auditing your database, or can you think of about a million other things you’d rather do?  Unfortunately, auditing is incredibly important.  As with tax audits, it is important to audit databases to ensure they are following all the rules, but they are also important for troubleshooting and security. There are several ways to audit SQL Server.  There is manual auditing, which is going through your database “by hand,” and obviously takes a long time and is quite inefficient.  SQL Server also provides programs to help you audit your systems.  Different administrators will have different opinions about best practices and which tools to use, and each one will be perfected for certain systems and certain users. Today, though, I would like to talk about Apex SQL Audit.  It is an auditing tool that acts like “track changes” in a word processing document.  It will log what has changed on the database, who made the changes, and what effects these changes have had (i.e. what objects were affected down the line).  All this information is logged, and can be easily viewed or printed for easy access. One of the best features of Apex is that it is so customizable (and easy to use!).  First, start Apex.  Then you can connect to the database you would like to monitor. Once you select your database, you can select which table you want to audit. You can customize right down to the field you’d like to audit, and then select which types of actions you’d like tracked – insert, delete, or update.  Repeat these steps for every database you want monitored. To create the logs, choose “Create triggers” in the menu.  The script written here will be what logs each insert, delete, and update function.  Press F5 to execute.  All this tracking information will be stored in AUDIT_LOG_DATA and AUDIT_LOG_TRANSACTIONS tables.  View these tables using ApexSQL Audit reports. These transaction logs can be extremely detailed – especially on very busy servers, where every move it traced.  Reading them can be overwhelming, to say the least.  Apex has tried to make things easier for the average DBA, though. You can read these tracking logs in Apex, and it will display data and objects that affect your server – even things that were happening on your server before you installed Apex! To read these logs, open Apex, and connect to that database you want to audit. Go to the Transaction Logs tab, and add the logs you want to read. To narrow down what results you want to see, you can use the Filter tab to choose time, operation type, name, users, and more. Click Open, and you can see the results in a grid (as shown below).  You can export these results to CSV, HTML, XML or SQL files and save on the hard disk. One of the advantages is that since there are no triggers here, there are no other processes that will affect SQL Server performance.  Using this method is also how to view history from your database that occurred before Apex was installed.  This type of tracking does require storage space for the data sources, as the database must be fully running, and the transaction logs must exist (things not stored in the transactions logs will not be recoverable). Apex can also replace SQL Server Profiler and SQL Server Traces – which are much more complex and error-prone – with its ApexSQL Comply.  It can do fault tolerant auditing, centralized reporting, and “who saw what” information in an easy-to-use interface.  The tracking settings can be altered by the user, or the default options will provide solutions to the most common auditing problems. To get started: open ApexSQL Comply, and selected Database Filter Settings to choose which database you’d like to audit.  You can select which tracking you’re like in Operation Types – DML, DDL, queries executed, execute statements, and more.  To get started, click Start Auditing. After this, every action will be stored in the central repository database (ApexSQLCrd).  You can view the audit and create a report (or view the standard default report) using a wizard. You can see how easy it is to use ApexSQL Comply.  You can easily set audits, including the type and time, and create customized reports.  Remote users can easily access the reports through the user interface (available online, as well), and security concerns are all taken care of by the program.  Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQL Utility, T SQL, Technology

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• HDFC Bank's Journey to Oracle Private Database Cloud

  - by Nilesh Agrawal

  One of the key takeaways from a recent post by Sushil Kumar is the importance of business initiative that drives the transformational journey from legacy IT to enterprise private cloud. The journey that leads to a agile, self-service and efficient infrastructure with reduced complexity and enables IT to deliver services more closely aligned with business requirements. Nilanjay Bhattacharjee, AVP, IT of HDFC Bank presented a real-world case study based on one such initiative in his Oracle OpenWorld session titled "HDFC BANK Journey into Oracle Database Cloud with EM 12c DBaaS". The case study highlighted in this session is from HDFC Bank’s Lending Business Segment, which comprises roughly 50% of Bank’s top line. Bank’s Lending Business is always under pressure to launch “New Schemes” to compete and stay ahead in this segment and IT has to keep up with this challenging business requirement. Lending related applications are highly dynamic and go through constant changes and every single and minor change in each related application is required to be thoroughly UAT tested certified before they are certified for production rollout. This leads to a constant pressure in IT for rapid provisioning of UAT databases on an ongoing basis to enable faster time to market. Nilanjay joined Sushil Kumar, VP, Product Strategy, Oracle, during the Enterprise Manager general session at Oracle OpenWorld 2012. Let's watch what Nilanjay had to say about their recent Database cloud deployment. “Agility” in launching new business schemes became the key business driver for private database cloud adoption in the Bank. Nilanjay spent an hour discussing it during his session. Let's look at why Database-as-a-Service(DBaaS) model was need of the hour in this case  - Average 3 days to provision UAT Database for Loan Management Application Silo’ed UAT environment with Average 30% utilization Compliance requirement consume UAT testing resources DBA activities leads to $$ paid to SI for provisioning databases manually Overhead in managing configuration drift between production and test environments Rollout impact/delay on new business initiatives The private database cloud implementation progressed through 4 fundamental phases - Standardization, Consolidation, Automation, Optimization of UAT infrastructure. Project scoping was carried out and end users and stakeholders were engaged early on right from planning phase and including all phases of implementation. Standardization and Consolidation phase involved multiple iterations of planning to first standardize on infrastructure, db versions, patch levels, configuration, IT processes etc and with database level consolidation project onto Exadata platform. It was also decided to have existing AIX UAT DB landscape covered and EM 12c DBaaS solution being platform agnostic supported this model well. Automation and Optimization phase provided the necessary Agility, Self-Service and efficiency and this was made possible via EM 12c DBaaS. EM 12c DBaaS Self-Service/SSA Portal was setup with required zones, quotas, service templates, charge plan defined. There were 2 zones implemented - Exadata zone  primarily for UAT and benchmark testing for databases running on Exadata platform and second zone was for AIX setup to cover other databases those running on AIX. Metering and Chargeback/Showback capabilities provided business and IT the framework for cloud optimization and also visibility into cloud usage. More details on UAT cloud implementation, related building blocks and EM 12c DBaaS solution are covered in Nilanjay's OpenWorld session here. Some of the key Benefits achieved from UAT cloud initiative are - New business initiatives can be easily launched due to rapid provisioning of UAT Databases [ ~3 hours ] Drastically cut down $$ on SI for DBA Activities due to Self-Service Effective usage of infrastructure leading to  better ROI Empowering  consumers to provision database using Self-Service Control on project schedule with DB end date aligned to project plan submitted during provisioning Databases provisioned through Self-Service are monitored in EM and auto configured for Alerts and KPI Regulatory requirement of database does not impact existing project in queue This table below shows typical list of activities and tasks involved when a end user requests for a UAT database. EM 12c DBaaS solution helped reduce UAT database provisioning time from roughly 3 days down to 3 hours and this timing also includes provisioning time for database with production scale data (ranging from 250 G to 2 TB of data) - And it's not just about time to provision,  this initiative has enabled an agile, efficient and transparent UAT environment where end users are empowered with real control of cloud resources and IT's role is shifted as enabler of strategic services instead of being administrator of all user requests. The strong collaboration between IT and business community right from planning to implementation to go-live has played the key role in achieving this common goal of enterprise private cloud. Finally, real cloud is here and this cloud is accompanied with rain (business benefits) as well ! For more information, please go to Oracle Enterprise Manager  web page or  follow us at :  Twitter | Facebook | YouTube | Linkedin | Newsletter

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• On MySQL 5.1 for Windows, why can't I assign DBA role to the "root" user?

  - by djangofan

  On MySQL 5.1 for Windows, why can't I assign DBA role to "root" user? The MySQL Workbench allows me to add all the other roles except for DBA. Also, when I "alter schema" on any table, while logged in as root, I dont see all the tabs that show me all the database properties... I only see the first tab that allows me to change collation only. What is wrong with this picture? How do i give root all priveleges? I've tried a few variations of GRANT ALL PRIVILEGES etc. from the command line but nothing works. My root account is unable to alter column names, indexes, or options of any given table that I create. I can create tables and delete them but I can't alter them.

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• BIND9 server not responding to external queries

  - by Twitchy

  I have set up a BIND server on my dedicated box which I want to host a nameserver for my domain on. When I use dig @202.169.196.59 nzserver.co.nz locally on the server I get the following response... ; <<>> DiG 9.8.1-P1 <<>> @202.169.196.59 nzserver.co.nz ; (1 server found) ;; global options: +cmd ;; Got answer: ;; ->>HEADER<<- opcode: QUERY, status: NOERROR, id: 43773 ;; flags: qr aa rd ra; QUERY: 1, ANSWER: 1, AUTHORITY: 2, ADDITIONAL: 2 ;; QUESTION SECTION: ;nzserver.co.nz. IN A ;; ANSWER SECTION: nzserver.co.nz. 3600 IN A 202.169.196.59 ;; AUTHORITY SECTION: nzserver.co.nz. 3600 IN NS ns2.nzserver.co.nz. nzserver.co.nz. 3600 IN NS ns1.nzserver.co.nz. ;; ADDITIONAL SECTION: ns1.nzserver.co.nz. 3600 IN A 202.169.196.59 ns2.nzserver.co.nz. 3600 IN A 202.169.196.59 ;; Query time: 0 msec ;; SERVER: 202.169.196.59#53(202.169.196.59) ;; WHEN: Sat Oct 27 15:40:45 2012 ;; MSG SIZE rcvd: 116 Which is good, and is the output I want. But when simply using dig nzserver.co.nz I get... ; <<>> DiG 9.8.1-P1 <<>> nzserver.co.nz ;; global options: +cmd ;; Got answer: ;; ->>HEADER<<- opcode: QUERY, status: SERVFAIL, id: 16970 ;; flags: qr rd ra; QUERY: 1, ANSWER: 0, AUTHORITY: 0, ADDITIONAL: 0 ;; QUESTION SECTION: ;nzserver.co.nz. IN A ;; Query time: 308 msec ;; SERVER: 202.169.192.61#53(202.169.192.61) ;; WHEN: Sat Oct 27 17:09:12 2012 ;; MSG SIZE rcvd: 32 And if I use dig @202.169.196.59 nzserver.co.nz on another linux machine I get... ; <<>> DiG 9.7.3 <<>> @202.169.196.59 nzserver.co.nz ; (1 server found) ;; global options: +cmd ;; connection timed out; no servers could be reached Am I doing something wrong here? Port 53 is definitely open. /etc/bind/named.conf.options options { directory "/var/cache/bind"; forwarders { 202.169.192.61; 202.169.206.10; }; listen-on { 202.169.196.59; }; }; /etc/bind/named.conf.local zone "nzserver.co.nz" { type master; file "/etc/bind/nzserver.co.nz.zone"; }; /etc/bind/nzserver.co.nz.zone ; BIND db file for nzserver.co.nz $ORIGIN nzserver.co.nz. @ IN SOA ns1.nzserver.co.nz. mr.steven.french.gmail.com. ( 2012102606 28800 7200 864000 3600 ) NS ns1.nzserver.co.nz. NS ns2.nzserver.co.nz. MX 10 mail.nzserver.co.nz. @ IN A 202.169.196.59 * IN A 202.169.196.59 ns1 IN A 202.169.196.59 ns2 IN A 202.169.196.59 www IN A 202.169.196.59 mail IN A 202.169.196.59

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• Enhancing performance in Entity Framework applications by precompiling LINQ to Entities queries

  - by nikolaosk

  This is going to be the tenth post of a series of posts regarding ASP.Net and the Entity Framework and how we can use Entity Framework to access our datastore. You can find the first one here , the second one here , the third one here , the fourth one here , the fifth one here ,the sixth one here ,the seventh one here ,the eighth one here and the ninth one here . I have a post regarding ASP.Net and EntityDataSource . You can read it here .I have 3 more posts on Profiling Entity Framework applications...(read more)

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• Develop DBA skills with MySQL for Database Administrators course

  - by Antoinette O'Sullivan

  MySQL is the world's number one open source database and the number one database for the Web. Join top companies by developing your MySQL Database Administrator skills. The MySQL for Database Administrators course is for DBAs and other database professionals who want to install the MySQL Server, set up replication and security, perform database backups and performance tuning, and protect MySQL databases. You can take this 5 day course as Training on Demand: Start training within 24 hours of registration. You will follow the lecture material via streaming video and perform hands-on activities at a date and time that suits you. Live-Virtual Event:  Take this instructor-led course from your own desk. Choose from the 19 events currently on the schedule and find an event that suits you in terms of timezone and date. In-Class Event: Travel to an education center. Here is a sample of events on the schedule:    Location  Date  Delivery Language  Mechelen, Belgium  25 February 2013  English  London, England  26 November 2012  English  Nice, France  3 December 2012  French  Paris, France  11 February 2013  French  Budapest, Hungary  26 November 2012  Hungarian  Belfast, Ireland  24 June 2013  English  Milan, Italy  14 January 2013  Japanese  Rome, Italy  18 February 2013  Japanese  Amsterdam, Netherlands  24 June 2013  Dutch  Nieuwegein, Netherlands  8 April 2013  Dutch  Warsaw, Poland  10 December 2012  Polish  Lisbon, Portugal  21 January 2013  European Portugese  Porto, Portugal  21 January 2013  European Portugese  Barcelona, Spain  4 February 2013  Spanish  Madrid, Spain  21 January 2013  Spanish  Nairobi, Kenya  26 November 2012  English  Johannesburg, South Africa  9 December 2013  English  Tokyo, Japan  10 December 2012  Japanese  Singapore  28 January 2013  English  Brisbane, Australia  10 December 2012  English  Edmonton, Canada  7 January 2013  English  Montreal, Canada  28 January 2013  English  Ottawa, Canada  28 January 2013  English  Toronto, Canada  28 January 2013  English  Vancouver, Canada  7 January 2013  English  Mexico City, Mexico  10 December 2012  Spanish  Sao Paolo, Brazil  10 December 2012  Brazilian Portugese For more information on this course or on other courses on the authentic MySQL Curriculum, go to http://oracle.com/education/mysql. Note, many organizations deploy both Oracle Database and MySQL side by side to serve different needs, and as a database professional you can find training courses on both topics at Oracle University! Check out the upcoming Oracle Database training courses and MySQL training courses. Even if you're only managing Oracle Databases at this point of time, getting familiar with MySQL will broaden your career path with growing job demand.

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• Scripting out Contained Database Users

  - by Argenis

    Today’s blog post comes from a Twitter thread on which @SQLSoldier, @sqlstudent144 and @SQLTaiob were discussing the internals of contained database users. Unless you have been living under a rock, you’ve heard about the concept of contained users within a SQL Server database (hit the link if you have not). In this article I’d like to show you that you can, indeed, script out contained database users and recreate them on another database, as either contained users or as good old fashioned logins/server principals as well. Why would this be useful? Well, because you would not need to know the password for the user in order to recreate it on another instance. I know there is a limited number of scenarios where this would be necessary, but nonetheless I figured I’d throw this blog post to show how it can be done. A more obscure use case: with the password hash (which I’m about to show you how to obtain) you could also crack the password using a utility like hashcat, as highlighted on this SQLServerCentral article. The Investigation SQL Server uses System Base Tables to save the password hashes of logins and contained database users. For logins it uses sys.sysxlgns, whereas for contained database users it leverages sys.sysowners. I’ll show you what I do to figure this stuff out: I create a login/contained user, and then I immediately browse the transaction log with, for example, fn_dblog. It’s pretty obvious that only two base tables touched by the operation are sys.sysxlgns, and also sys.sysprivs – the latter is used to track permissions. If I connect to the DAC on my instance, I can query for the password hash of this login I’ve just created. A few interesting things about this hash. This was taken on my laptop, and I happen to be running SQL Server 2014 RTM CU2, which is the latest public build of SQL Server 2014 as of time of writing. In 2008 R2 and prior versions (back to 2000), the password hashes would start with 0x0100. The reason why this changed is because starting with SQL Server 2012 password hashes are kept using a SHA512 algorithm, as opposed to SHA-1 (used since 2000) or Snefru (used in 6.5 and 7.0). SHA-1 is nowadays deemed unsafe and is very easy to crack. For regular SQL logins, this information is exposed through the sys.sql_logins catalog view, so there is really no need to connect to the DAC to grab an SID/password hash pair. For contained database users, there is (currently) no method of obtaining SID or password hashes without connecting to the DAC. If we create a contained database user, this is what we get from the transaction log: Note that the System Base Table used in this case is sys.sysowners. sys.sysprivs is used as well, and again this is to track permissions. To query sys.sysowners, you would have to connect to the DAC, as I mentioned previously. And this is what you would get: There are other ways to figure out what SQL Server uses under the hood to store contained database user password hashes, like looking at the execution plan for a query to sys.dm_db_uncontained_entities (Thanks, Robert Davis!) SIDs, Logins, Contained Users, and Why You Care…Or Not. One of the reasons behind the existence of Contained Users was the concept of portability of databases: it is really painful to maintain Server Principals (Logins) synced across most shared-nothing SQL Server HA/DR technologies (Mirroring, Availability Groups, and Log Shipping). Often times you would need the Security Identifier (SID) of these logins to match across instances, and that meant that you had to fetch whatever SID was assigned to the login on the principal instance so you could recreate it on a secondary. With contained users you normally wouldn’t care about SIDs, as the users are always available (and synced, as long as synchronization takes place) across instances. Now you might be presented some particular requirement that might specify that SIDs synced between logins on certain instances and contained database users on other databases. How would you go about creating a contained database user with a specific SID? The answer is that you can’t do it directly, but there’s a little trick that would allow you to do it. Create a login with a specified SID and password hash, create a user for that server principal on a partially contained database, then migrate that user to contained using the system stored procedure sp_user_migrate_to_contained, then drop the login. CREATE LOGIN <login_name> WITH PASSWORD = <password_hash> HASHED, SID = <sid> ; GO USE <partially_contained_db>; GO CREATE USER <user_name> FROM LOGIN <login_name>; GO EXEC sp_migrate_user_to_contained @username = <user_name>, @rename = N’keep_name’, @disablelogin = N‘disable_login’; GO DROP LOGIN <login_name>; GO Here’s how this skeleton would look like in action: And now I have a contained user with a specified SID and password hash. In my example above, I renamed the user after migrated it to contained so that it is, hopefully, easier to understand. Enjoy!

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• Full Text Index Queries using CONTAINS and CONTAINSTABLE

  Recent installments of our SQL Server 2005 Express Edition series have been discussing its implementation of Full Text Indexing. This article focuses on the remaining two constructs, CONTAINS and CONTAINSTABLE.

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• Hot off the Press: Oracle Announces General Availability of Oracle Database 12c

  - by Tanu Sood

  Earlier today, Oracle announced general availability of Oracle Database 12c, the first database designed for the cloud. As more and more organizations embrace cloud, Oracle Database 12c provides  a new multi-tenant architecture on top of a fast, scalable, reliable, and secure database platform allowing you to bring agility to your enterprise, improve performance and availability for your applications while at the same time, simplify database consolidation. We recommend you check out the press release and visit oracle.com for more information on Oracle Database 12c. As always, more information on Oracle Fusion Middleware available here.

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• Unicenter Software Delivery 4 not able to connect to MS SQL 2000 Database after W2003 SP2 upgrade

  - by grub

  Hello Everyone Yesterday I installed the Windows Server 2003 Service Pack 2 on a Windows Server 2003 which has Unicenter Software Delivery 4 installed. Prior to the installation I disabled every CA service on the server (Brightstor, SDO , RCO, TNG) and the MS SQL 2000 service. After the installation of the SP2 I enabled the services again but the Unicenter Service is not able to connect to the MS SQL 2000 Database anymore. The database itself is up and running and I can connect to it with the Enterprise Manager. A dbcc checkdb doesnt return any errors on the Unicenter database. The Unicenter service throws the following error messages during startup: IM[1] 27/05 10:38:31,272 Installation Manager in init phase IM[1] 27/05 10:38:31,694 Process IM(L) - [004152] failed to open database SDDATA. dbopen() call failed. IM[1] 27/05 10:38:31,694 sqls error details: IM[1] 27/05 10:38:31,694 (null) IM[1] 27/05 10:38:32,069 ##EXCEPTION## TableError T@:PS_SQLS\isam_db.cxx:744. IM[1] 27/05 10:38:32,069 ##EXCEPTION## TableError C@:TaskmgrL\ASMTML.CXX:596. IM[1] 27/05 10:38:32,069 ##EXCEPTION## ErrorCode: 4711 in SDDATA:Isam::Isam. Process IM(L) - [004152] failed to open database SDDATA. dbopen() call failed. IM[1] 27/05 10:38:32,069 sqls error details: IM[1] 27/05 10:38:32,069 (null) IM[1] 27/05 10:38:32,069 returned 0. IM[1] 27/05 10:38:32,084 Persistent Storage could not be opened. Error cause is found in the ASM Event Log. Restart Task Manager. IM[1] 27/05 10:38:32,084 Failed to open database. IM[1] 27/05 10:38:32,084 Installation Manager ends> If I check the Unicenter configutation with *chkmib_l* the tool throws an exception and creates a small dump file. An Exception Occurred: Time: 27/05 09:49:38,928 Reason: ChkMIB_l.exe caused an UNKNOWN_EXCEPTION in module kernel32.dll at 7C82001B:77E4BEE7 Registers: EAX=0012F908 EBX=00000000 ECX=00000000 EDX=02410004 ESI=0012F998 EDI=0012F998 EBP=0012F958 ESP=0012F904 EIP=77E4BEE7 FLG=00000206 CS =7C82001B DS =B90023 SS =120023 ES =120023 FS =7C82003B GS =3F0000 Call Stack: 7C82001B:77E4BEE7 (0xE06D7363 0x00000001 0x00000003 0x0012F98C) kernel32.dll 7C82001B:77BB3259 (0x0012F9B8 0x2B017C50 0x2B024404 0x00B68C98) MSVCRT.dll 7C82001B:2B010C42 (0x00020003 0x010C00FE 0x003F0190 0x00B69050) PS.dll << SOFTWARE DELIVERY INSTANCE INFO >> TRIGGER 0(1) instances: JCE 0(1) instances: TM 0(1) instances: IM 0(1) instances: DM 0(1) instances: DPU 0(71) instances: NATF 0(1) instances: MIBCONV 0(0) instances: API 0(4) instances: DTSFT 0(0) instances: TNGPOP 0(0) instances: DGATE 0(0) instances: << FLUSHING MEMORY TRACES >> << STOP FLUSHING MEMORY TRACES >> I compared the configuration of the SDO service and the system configuration with another server on which the Windows Server 2003 SP2 is installed and SDO is working. The configuration is the same and the same driver and software versions are used. Do you have any idea what causes the connection issue? Should I deinstall the unicenter service and make a fresh installation on the server or should I remove the Windows Server 2003 SP2? I don't want to remove the SP2 because it's a requirement for WSUS3 SP2 and I really don't want to know how many possible exploits are possible in such an old system ;-) Thank you very much and have a nice day. Below you can find more detailed information about the system and the SDO service. psinfo output (system information) System information for \\CZZAAS1003: Uptime: 0 days 14 hours 38 minutes 50 seconds Kernel version: Microsoft Windows Server 2003, Multiprocessor Free Product type: Standard Edition Product version: 5.2 Service pack: 2 Kernel build number: 3790 Install date: 23.9.2004, 11:16:11s IE version: 6.0000 System root: C:\WINDOWS Processors: 2 Processor speed: 2.3 GHz Processor type: Intel(R) Xeon(TM) CPU Physical memory: 1024 MB Video driver: RAGE XL PCI Family (Microsoft Corporation) sdver output (Unicenter Software delivery version) Unicenter Software Delivery 4.0 SP1 I2 ENU [2901] Copyright 2004 Computer Associates International, Incorporated ms sql 2000 version and odbc driver version MS SQL 2000 Server Standard Edition Product Version: 8.00.760 (SP3) ODBC Driver: SQL Server - Version 2000.86.3959.00 complete Unicenter Software delivery service log file TRIGGER[1] 27/05 10:38:28,366 SD Trigger Agent has started NATF[1] 27/05 10:38:28,928 Initiation phase finished IM[1] 27/05 10:38:31,272 Installation Manager in init phase IM[1] 27/05 10:38:31,694 Process IM(L) - [004152] failed to open database SDDATA. dbopen() call failed. IM[1] 27/05 10:38:31,694 sqls error details: IM[1] 27/05 10:38:31,694 (null) IM[1] 27/05 10:38:32,069 ##EXCEPTION## TableError T@:PS_SQLS\isam_db.cxx:744. IM[1] 27/05 10:38:32,069 ##EXCEPTION## TableError C@:TaskmgrL\ASMTML.CXX:596. IM[1] 27/05 10:38:32,069 ##EXCEPTION## ErrorCode: 4711 in SDDATA:Isam::Isam. Process IM(L) - [004152] failed to open database SDDATA. dbopen() call failed. IM[1] 27/05 10:38:32,069 sqls error details: IM[1] 27/05 10:38:32,069 (null) IM[1] 27/05 10:38:32,069 returned 0. IM[1] 27/05 10:38:32,084 Persistent Storage could not be opened. Error cause is found in the ASM Event Log. Restart Task Manager. IM[1] 27/05 10:38:32,084 Failed to open database. IM[1] 27/05 10:38:32,084 Installation Manager ends TM[1] 27/05 10:38:32,116 Task Manager in init phase TM[1] 27/05 10:38:32,334 Process TM(L) - [006132] failed to open database SDDATA. dbopen() call failed. TM[1] 27/05 10:38:32,334 sqls error details: TM[1] 27/05 10:38:32,334 (null) TM[1] 27/05 10:38:32,381 ##EXCEPTION## TableError T@:PS_SQLS\isam_db.cxx:744. TM[1] 27/05 10:38:32,381 ##EXCEPTION## TableError C@:TaskmgrL\ASMTML.CXX:596. TM[1] 27/05 10:38:32,381 ##EXCEPTION## ErrorCode: 4711 in SDDATA:Isam::Isam. Process TM(L) - [006132] failed to open database SDDATA. dbopen() call failed. TM[1] 27/05 10:38:32,381 sqls error details: TM[1] 27/05 10:38:32,381 (null) TM[1] 27/05 10:38:32,381 returned 0. TM[1] 27/05 10:38:32,381 Persistent Storage could not be opened. Error cause is found in the ASM Event Log. Restart Task Manager. TM[1] 27/05 10:38:32,381 Failed to open database. TM[1] 27/05 10:38:32,381 Task Manager ends DM[1] 27/05 10:38:33,272 Dialogue Manager is now active API[1] 27/05 10:38:34,397 API Server Process in init phase API[1] 27/05 10:38:34,397 API - SDNLS_Init API[1] 27/05 10:38:34,397 API - connectEM API[1] 27/05 10:38:34,412 API - apiServ.init DM[1] 27/05 10:38:34,678 **AND** 1 Agents triggered API[1] 27/05 10:38:34,709 Process API(L) - [005680] failed to open database SDDATA. dbopen() call failed. API[1] 27/05 10:38:34,709 sqls error details: API[1] 27/05 10:38:34,709 (null) API[1] 27/05 10:38:34,756 ##EXCEPTION## TableError T@:PS_SQLS\isam_db.cxx:744. API[1] 27/05 10:38:34,756 ##EXCEPTION## TableError C@:MainAPIL\APISERVL.CXX:246. API[1] 27/05 10:38:34,756 ##EXCEPTION## ErrorCode: 4711 in SDDATA:Isam::Isam. Process API(L) - [005680] failed to open database SDDATA. dbopen() call failed. API[1] 27/05 10:38:34,756 sqls error details: API[1] 27/05 10:38:34,756 (null) API[1] 27/05 10:38:34,756 returned 0. API[1] 27/05 10:38:34,756 Open of the database failed. API[1] 27/05 10:38:34,756 API - apiServ.init complete API[1] 27/05 10:38:34,756 API - start_APIServer DM[1] 27/05 10:38:34,803 CZZAAR1037 DPU[1:CZZAAR1037] 27/05 10:38:35,772 DPU in init phase DPU[1:CZZAAR1037] 27/05 10:38:36,100 >> GetManagerData DPU[1:CZZAAR1037] 27/05 10:38:36,287 >> SetCompInfo DPU[1:CZZAAR1037] 27/05 10:38:36,334 >> GetContainerList DPU[1:CZZAAR1037] 27/05 10:38:36,350 getJobState 3 from 5b6ad DPU[1:CZZAAR1037] 27/05 10:38:36,350 getJobState 3 from 5b6ad DPU[1:CZZAAR1037] 27/05 10:38:36,350 getJobState 3 from 5b6b7 DPU[1:CZZAAR1037] 27/05 10:38:36,350 getJobState 3 from 5b6b7 DPU[1:CZZAAR1037] 27/05 10:38:36,350 getJobState 3 from 5b6c1 DPU[1:CZZAAR1037] 27/05 10:38:36,350 getJobState 3 from 5b6c1 DPU[1:CZZAAR1037] 27/05 10:38:36,366 getJobState 3 from 5b6cb DPU[1:CZZAAR1037] 27/05 10:38:36,366 getJobState 3 from 5b6cb DPU[1:CZZAAR1037] 27/05 10:38:36,366 getJobState 3 from 5b6f9 DPU[1:CZZAAR1037] 27/05 10:38:36,366 getJobState 3 from 5b6f9 DPU[1:CZZAAR1037] 27/05 10:38:36,366 getJobState 3 from 5b71a DPU[1:CZZAAR1037] 27/05 10:38:36,366 getJobState 3 from 5b71a DPU[1:CZZAAR1037] 27/05 10:38:36,366 getJobState 3 from 5b724 DPU[1:CZZAAR1037] 27/05 10:38:36,381 getJobState 3 from 5b724 DPU[1:CZZAAR1037] 27/05 10:38:36,397 getJobState 3 from 5b72e DPU[1:CZZAAR1037] 27/05 10:38:36,397 getJobState 3 from 5b72e DPU[1:CZZAAR1037] 27/05 10:38:36,397 getJobState 3 from 5b738 DPU[1:CZZAAR1037] 27/05 10:38:36,397 getJobState 3 from 5b738 DPU[1:CZZAAR1037] 27/05 10:38:36,397 getJobState 3 from 5b742 DPU[1:CZZAAR1037] 27/05 10:38:36,397 getJobState 3 from 5b742 DPU[1:CZZAAR1037] 27/05 10:38:36,397 getJobState 3 from 5b74c DPU[1:CZZAAR1037] 27/05 10:38:36,397 getJobState 3 from 5b74c DPU[1:CZZAAR1037] 27/05 10:38:36,397 getJobState 3 from 5b756 DPU[1:CZZAAR1037] 27/05 10:38:36,397 getJobState 3 from 5b756 DPU[1:CZZAAR1037] 27/05 10:38:36,397 getJobState 3 from 5b78a DPU[1:CZZAAR1037] 27/05 10:38:36,397 getJobState 3 from 5b78a DPU[1:CZZAAR1037] 27/05 10:38:36,397 getJobState 3 from 5b7af DPU[1:CZZAAR1037] 27/05 10:38:36,397 getJobState 3 from 5b7af DPU[1:CZZAAR1037] 27/05 10:38:36,522 >> SetCompAttr DPU[1:CZZAAR1037] 27/05 10:38:36,569 >> SetDetected DPU[1:CZZAAR1037] 27/05 10:38:36,584 disconnect DPU[1:CZZAAR1037] 27/05 10:38:36,584 getJobState 3 from 5b6ad DPU[1:CZZAAR1037] 27/05 10:38:36,584 getJobState 3 from 5b6b7 DPU[1:CZZAAR1037] 27/05 10:38:36,584 getJobState 3 from 5b6c1 DPU[1:CZZAAR1037] 27/05 10:38:36,584 getJobState 3 from 5b6cb DPU[1:CZZAAR1037] 27/05 10:38:36,584 getJobState 3 from 5b6f9 DPU[1:CZZAAR1037] 27/05 10:38:36,584 getJobState 3 from 5b71a DPU[1:CZZAAR1037] 27/05 10:38:36,584 getJobState 3 from 5b724 DPU[1:CZZAAR1037] 27/05 10:38:36,584 getJobState 3 from 5b72e DPU[1:CZZAAR1037] 27/05 10:38:36,584 getJobState 3 from 5b738 DPU[1:CZZAAR1037] 27/05 10:38:36,584 getJobState 3 from 5b742 DPU[1:CZZAAR1037] 27/05 10:38:36,584 getJobState 3 from 5b74c DPU[1:CZZAAR1037] 27/05 10:38:36,584 getJobState 3 from 5b756 DPU[1:CZZAAR1037] 27/05 10:38:36,584 getJobState 3 from 5b78a DPU[1:CZZAAR1037] 27/05 10:38:36,584 getJobState 3 from 5b7af DPU[1:CZZAAR1037] 27/05 10:38:36,584 DPU ends DM[1] 27/05 10:38:38,006 **AND** 0 Agents triggered JCE[1] 27/05 10:38:38,053 JCE starts DM[1] 27/05 10:38:38,287 CZZAAS1003 DPU[2:CZZAAS1003] 27/05 10:38:38,412 DPU in init phase DPU[2:CZZAAS1003] 27/05 10:38:38,647 >> GetManagerData DPU[2:CZZAAS1003] 27/05 10:38:38,756 >> SetCompInfo DPU[2:CZZAAS1003] 27/05 10:38:38,787 >> GetContainerList DM[1] 27/05 10:38:38,850 **AND** 1 Agents triggered DM[1] 27/05 10:38:38,928 CZZAAR1124 DPU[3:CZZAAR1124] 27/05 10:38:39,053 DPU in init phase DPU[3:CZZAAR1124] 27/05 10:38:39,272 >> GetManagerData DM[1] 27/05 10:38:39,334 **AND** 1 Agents triggered DPU[3:CZZAAR1124] 27/05 10:38:39,381 >> SetCompInfo DPU[3:CZZAAR1124] 27/05 10:38:39,412 >> GetContainerList DM[1] 27/05 10:38:39,412 CZZAAR1125 DPU[3:CZZAAR1124] 27/05 10:38:39,428 getJobState 3 from 5b88e DPU[3:CZZAAR1124] 27/05 10:38:39,428 getJobState 3 from 5b88e DPU[2:CZZAAS1003] 27/05 10:38:39,491 >> SetCompAttr DPU[3:CZZAAR1124] 27/05 10:38:39,522 >> SetCompAttr DPU[4:CZZAAR1125] 27/05 10:38:39,522 DPU in init phase DPU[3:CZZAAR1124] 27/05 10:38:39,584 >> SetDetected DPU[2:CZZAAS1003] 27/05 10:38:39,584 >> SetDetected DPU[3:CZZAAR1124] 27/05 10:38:39,584 disconnect DPU[3:CZZAAR1124] 27/05 10:38:39,600 getJobState 3 from 5b88e DPU[3:CZZAAR1124] 27/05 10:38:39,600 DPU ends DPU[2:CZZAAS1003] 27/05 10:38:39,631 disconnect DPU[2:CZZAAS1003] 27/05 10:38:39,631 DPU ends DPU[4:CZZAAR1125] 27/05 10:38:39,756 >> GetManagerData DPU[4:CZZAAR1125] 27/05 10:38:39,850 >> SetCompInfo DPU[4:CZZAAR1125] 27/05 10:38:39,881 >> GetContainerList DPU[4:CZZAAR1125] 27/05 10:38:39,897 getJobState 3 from 5b8a9 DPU[4:CZZAAR1125] 27/05 10:38:39,897 getJobState 3 from 5b8a9 DPU[4:CZZAAR1125] 27/05 10:38:39,991 >> SetCompAttr DPU[4:CZZAAR1125] 27/05 10:38:40,100 >> SetDetected DPU[4:CZZAAR1125] 27/05 10:38:40,116 disconnect DPU[4:CZZAAR1125] 27/05 10:38:40,116 getJobState 3 from 5b8a9 DPU[4:CZZAAR1125] 27/05 10:38:40,116 DPU ends DM[1] 27/05 10:38:40,741 **AND** 0 Agents triggered JCE[1] 27/05 10:38:42,756 JCE ends DM[1] 27/05 10:38:47,475 **AND** 0 Agents triggered DM[1] 27/05 10:38:54,241 **AND** 0 Agents triggered

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• Database .NET

  - by Guilherme Cardoso

  Database .NET is an awesome tool that allow us manage several database in simultaneous (SQL Server, MySQL, Oracle, etc). What lead me to install this tool was an problem that must be shared by must developers. Tools like SQL Server Management Studio consume to many resources, and if you don't have a decent computer you'll get problems in performance, and that's my case! With Database .NET we can access an SQL Server for example, and make several actions to database (crud operations, manage procedures, etc).Of course that this tool can replace the use of SQL Server Management Studio for example!  But it's really usefull if  you just need to perform small operations because it consumes many fewer resources. This tool don't need to be installed (it can be used as an portable application). One tip: if you are using SQL Server Express for example, don't forget to check the server name in Database .NET connection. In my case i've to change from GUILHERM-196634 to GUILHERM-196634\SQLExpress. Project: http://fishcodelib.com/Database.htm Download: http://fishcodelib.com/files/DatabaseNet3.zip

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• Framework 4 Features: User Propogation to the Database

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• Avoid Multiple Queries When Querying for Max and Min Values

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• Oracle FLEXCUBE delivers 'Bank-in-a-Box' with Oracle Database Appliance

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• SQL SERVER Spatial Database Queries What About BLOB T-SQL Tuesday #006

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• Oracle Enterprise Manager 12c Delivers Advanced Self-Service Automation for Oracle Database 12c Multitenant

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• Oracle Enterprise Manager 12c Delivers Advanced Self-Service Automation for Oracle Database 12c Multitenant

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