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  • Recovering SQL Server Database From Error: 5171

    MS SQL Server is the most preferred relational database management system by database users all over the world. It provides several benefits such as enhanced productivity, scalability, efficiency, av... [Author: Mark Willium - Computers and Internet - May 14, 2010]

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  • Should I have a separate method for Update(), Insert(), etc., or have a generic Query() that would be able to handle all of these?

    - by Prayos
    I'm currently trying to write a class library for a connection to a database. Looking over it, there are several different types of queries: Select From, Update, Insert, etc. My question is, what is the best practice for writing these queries in a C# application? Should I have a separate method for each of them(i.e. Update(), Insert()), or have a generic Query() that would be able to handle all of these? Thanks for any and all help!

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  • Free eBook: Defensive Database Programming

    Resilient T-SQL code is code that is designed to last, and to be safely reused by others. The goal of defensive database programming, the goal of this book, is to help you to produce resilient T-SQL code that robustly and gracefully handles cases of unintended use, and is resilient to common changes to the database environment. 12 must-have SQL Server toolsThe award-winning SQL Developer Bundle contains 12 tools for faster, simpler SQL Server development. Download a free trial.

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  • ???????/???Oracle Database Core Tech Seminar Oracle Data Guard,Oracle Recovery Manager(RMAN),Flashback

    - by user788995
    ????? ??:2012/05/14 ??:??????/?? Oracle Database????????????????Core Tech Seminar? ????????????????????????????????????Oracle Data Guard?Oracle Recovery Manager?Oracle Flashback Technology????????????·?????????? Active Data GuardRecovery Manager(RMAN)Flashback?????? ????????? ????????????????? http://otndnld.oracle.co.jp/ondemand/otn-seminar/movie/D3-22.wmv http://otndnld.oracle.co.jp/ondemand/otn-seminar/movie/mp4/D3-22.mp4 http://www.oracle.com/technetwork/jp/ondemand/database/db-new/d3-22-dl-1626591-ja.pdf

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  • Accidently overwrote system.dbf - What now?

    - by Filip Ekberg
    I accidentally overwrote system.dbf in /usr/lib/oracle/xe/oradata/XE/system.dbf Well I did not actually do it accidentally, however I overwrote it because of other failures in the database. And when I try running the following: SQL> shutdown ORA-01109: database not open Database dismounted. ORACLE instance shut down. SQL> startup ORACLE instance started. Total System Global Area 289406976 bytes Fixed Size 1258488 bytes Variable Size 92277768 bytes Database Buffers 192937984 bytes Redo Buffers 2932736 bytes Database mounted. ORA-01589: must use RESETLOGS or NORESETLOGS option for database open Now I want to try to Recover the database because starting it in mounted or standard surely doesn't work. SQL> recover database using backup controlfile; ORA-00283: recovery session canceled due to errors ORA-01110: data file 1: '/usr/lib/oracle/xe/oradata/XE/system.dbf' ORA-01122: database file 1 failed verification check ORA-01110: data file 1: '/usr/lib/oracle/xe/oradata/XE/system.dbf' ORA-01206: file is not part of this database - wrong database id How do I solve this? Is it even possible? My "real" problem was that I ran the /etc/init.d/oracle-xe configure and it overwrote my old configuration and probably removed passwords and such so my tables were gone, however I found the mytablespace.dbf so I hope that it is possible to recover? Please shed some light on this.

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  • With Its MySQL Database-as-a-Service CERN Empowers Scientists

    - by Bertrand Matthelié
    The European Organization for Nuclear Research (CERN) is one of the world’s largest and most respected centers for scientific research. Founded in 1954 and located near Geneva on the Franco-Swiss border, CERN was one of Europe’s first joint ventures. Today, it has 20 member states. The organization uses the world’s largest and most complex scientific instruments to study fundamental particles and the origin of the universe. Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Cambria","serif"; mso-ascii-font-family:Cambria; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Cambria; mso-hansi-theme-font:minor-latin;} Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Cambria","serif"; mso-ascii-font-family:Cambria; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Cambria; mso-hansi-theme-font:minor-latin;} Challenges Better support the scientists associated with a CERN research program who selected MySQL as their database. Empower users, enabling them to be as self-reliant as possible. Minimize complexity and costs for the CERN IT department to support the growing number of MySQL deployments. Solution Delivered a MySQL Database-as-a-Service offering to the CERN employees and the scientists associated with the organization. Allowed researchers selecting MySQL for their project to get access to a database instance hosted by the CERN IT department, either from the start or once their application has become critical. Implemented the service using Oracle’s server virtualization software, Oracle VM, for increased flexibility and reduced costs. Empowered users with a self-service approach, providing them with tools to manage MySQL themselves while handling backups and other basic database administration tasks for them. Enabled scientists to rely on MySQL with increased reliability, security and manageability while reducing complexity and minimizing costs. Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Cambria","serif"; mso-ascii-font-family:Cambria; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Cambria; mso-hansi-theme-font:minor-latin;} "The Cloud model has allowed us to deliver a self-service platform to our MySQL users, empowering them while minimizing costs for CERN." Tony Cass, Database Services Group Leader, IT department, CERN.

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  • How to overcome shortcomings in reporting from EAV database?

    - by David Archer
    The major shortcomings with Entity-Attribute-Value database designs in SQL all seem to be related to being able to query and report on the data efficiently and quickly. Most of the information I read on the subject warn against implementing EAV due to these problems and the commonality of querying/reporting for almost all applications. I am currently designing a system where almost all the fields necessary for data storage are not known at design/compile time and are defined by the end-user of the system. EAV seems like a good fit for this requirement but due to the problems I've read about, I am hesitant in implementing it as there are also some pretty heavy reporting requirements for this system as well. I think I've come up with a way around this but would like to pose the question to the SO community. Given that typical normalized database (OLTP) still isn't always the best option for running reports, a good practice seems to be having a "reporting" database (OLAP) where the data from the normalized database is copied to, indexed extensively, and possibly denormalized for easier querying. Could the same idea be used to work around the shortcomings of an EAV design? The main downside I see are the increased complexity of transferring the data from the EAV database to reporting as you may end up having to alter the tables in the reporting database as new fields are defined in the EAV database. But that is hardly impossible and seems to be an acceptable tradeoff for the increased flexibility given by the EAV design. This downside also exists if I use a non-SQL data store (i.e. CouchDB or similar) for the main data storage since all the standard reporting tools are expecting a SQL backend to query against. Do the issues with EAV systems mostly go away if you have a seperate reporting database for querying? EDIT: Thanks for the comments so far. One of the important things about the system I'm working on it that I'm really only talking about using EAV for one of the entities, not everything in the system. The whole gist of the system is to be able to pull data from multiple disparate sources that are not known ahead of time and crunch the data to come up with some "best known" data about a particular entity. So every "field" I'm dealing with is multi-valued and I'm also required to track history for each. The normalized design for this ends up being 1 table per field which makes querying it kind of painful anyway. Here are the table schemas and sample data I'm looking at (obviously changed from what I'm working on but I think it illustrates the point well): EAV Tables Person ------------------- - Id - Name - ------------------- - 123 - Joe Smith - ------------------- Person_Value ------------------------------------------------------------------- - PersonId - Source - Field - Value - EffectiveDate - ------------------------------------------------------------------- - 123 - CIA - HomeAddress - 123 Cherry Ln - 2010-03-26 - - 123 - DMV - HomeAddress - 561 Stoney Rd - 2010-02-15 - - 123 - FBI - HomeAddress - 676 Lancas Dr - 2010-03-01 - ------------------------------------------------------------------- Reporting Table Person_Denormalized ---------------------------------------------------------------------------------------- - Id - Name - HomeAddress - HomeAddress_Confidence - HomeAddress_EffectiveDate - ---------------------------------------------------------------------------------------- - 123 - Joe Smith - 123 Cherry Ln - 0.713 - 2010-03-26 - ---------------------------------------------------------------------------------------- Normalized Design Person ------------------- - Id - Name - ------------------- - 123 - Joe Smith - ------------------- Person_HomeAddress ------------------------------------------------------ - PersonId - Source - Value - Effective Date - ------------------------------------------------------ - 123 - CIA - 123 Cherry Ln - 2010-03-26 - - 123 - DMV - 561 Stoney Rd - 2010-02-15 - - 123 - FBI - 676 Lancas Dr - 2010-03-01 - ------------------------------------------------------ The "Confidence" field here is generated using logic that cannot be expressed easily (if at all) using SQL so my most common operation besides inserting new values will be pulling ALL data about a person for all fields so I can generate the record for the reporting table. This is actually easier in the EAV model as I can do a single query. In the normalized design, I end up having to do 1 query per field to avoid a massive cartesian product from joining them all together.

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  • Would this method work to scale out SQL queries?

    - by David
    I have a database containing a single huge table. At the moment a query can take anything from 10 to 20 minutes and I need that to go down to 10 seconds. I have spent months trying different products like GridSQL. GridSQL works fine, but is using its own parser which does not have all the needed features. I have also optimized my database in various ways without getting the speedup I need. I have a theory on how one could scale out queries, meaning that I utilize several nodes to run a single query in parallel. The idea is to take an incoming SQL query and simply run it exactly like it is on all the nodes. When the results are returned to a coordinator node, the same query is run on the union of the resultsets. I realize that an aggregate function like average need to be rewritten into a count and sum to the nodes and that the coordinator divides the sum of the sums with the sum of the counts to get the average. What kinds of problems could not easily be solved using this model. I believe one issue would be the count distinct function. Edit: I am getting so many nice suggestions, but none have addressed the method.

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  • SQL Queries for Creating a rollback point and to rollback to that specific point

    - by Santhosha
    Hi, As per my project requirement i want to perform two operation Password Change Unlock Account(Only unlocking account, no password change!) I want return success only if both the transactions succeeds. Say if password change succeeds and unlock fails i cannot send success or failure. So i want to create a rollback point before password change, if both queries executes successfully i will commit the transaction. If one of the query fails i will discard the changes by rolling back to the rollback point. I am doing this in C++ using ADO. Is there any SQL Queries,using i can create the rollback point and reverting to rollback point and commiting the transaction I am using below commands for Password change ALTER LOGIN [username] WITH PASSWORD = N'password' for Unlock account ALTER LOGIN [%s] WITH CHECK_POLICY = OFF ALTER LOGIN [%s] WITH CHECK_POLICY = ON Thanks in advance!! Santhosh

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  • Nested queries in Arel

    - by Schrockwell
    I am attempting to nest SELECT queries in Arel and/or Active Record in Rails 3 to generate the following SQL statement. SELECT sorted.* FROM (SELECT * FROM points ORDER BY points.timestamp DESC) AS sorted GROUP BY sorted.client_id An alias for the subquery can be created by doing points = Table(:points) sorted = points.order('timestamp DESC').alias but then I'm stuck as how to pass it into the parent query (short of calling #to_sql, which sounds pretty ugly). How do you use a SELECT statement as a sub-query in Arel (or Active Record) to accomplish the above? Maybe there's an altogether different way to accomplish this query that doesn't use nested queries?

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  • Eager loading vs. many queries with PHP, SQLite

    - by Mike
    I have an application that has an n+1 query problem, but when I implemented a way to load the data eagerly, I found absolutely no performance gain. I do use an identity map, so objects are only created once. Here's a benchmark of ~3000 objects. first query + first object creation: 0.00636100769043 sec. memory usage: 190008 bytes iterate through all objects (queries + objects creation): 1.98003697395 sec. memory usage: 7717116 bytes And here's one when I use eager loading. query: 0.0881109237671 sec. memory usage: 6948004 bytes object creation: 1.91053009033 sec. memory usage: 12650368 bytes iterate through all objects: 1.96605396271 sec. memory usage: 12686836 bytes So my questions are Is SQLite just magically lightning fast when it comes to small queries? (I'm used to working with MySQL.) Does this just seem wrong to anyone? Shouldn't eager loading have given much better performance?

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  • Joining two queries into one query or making a sub-query

    - by gary A.K.A. G4
    I am having some trouble with the following queries originally done for some Access forms: SELECT qry1.TCKYEAR AS Yr, COUNT(qry1.SID) AS STUDID, qry1.SID AS MID, table_tckt.tckt_tick_no FROM table_tckt INNER JOIN qry1 ON table_tckt.tckt_SID = qry1.SID GROUP BY qry1.TCKYEAR, qry1.SID, table_tckt.tckt_tick_no HAVING (((table_tckt.tick_no)=[forms]![frmNAME]![cboNAME])); SELECT table_tckt.sid, FORMAT([tckt_iss_date], 'yyyy') AS TCKYEAR, table_tckt.tckt_tick_no, table_tckt.licstate FROM table_tckt WHERE (((table_tckt.licstate)<>"NA")); I am no longer working with Access, but JSP for the forms. I need to somehow either combine these two queries into one query or find another way to have a query 'query' another one.

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  • Different execution plan for similar queries

    - by Graham Clements
    I am running two very similar update queries but for a reason unknown to me they are using completely different execution plans. Normally this wouldn't be a problem but they are both updating exactly the same amount of rows but one is using an execution plan that is far inferior to the other, 4 secs vs 2 mins, when scaled up this is causing me a massive problem. The only difference between the two queries is one is using the column CLI and the other DLI. These columns are exactly the same datatype, and are both indexed exactly the same, but for the DLI query execution plan, the index is not used. Any help as to why this is happening is much appreciated. -- Query 1 UPDATE a SET DestKey = ( SELECT TOP 1 b.PrefixKey FROM refPrefixDetail AS b WHERE a.DLI LIKE b.Prefix + '%' ORDER BY len(b.Prefix) DESC ) FROM CallData AS a -- Query 2 UPDATE a SET DestKey = ( SELECT TOP 1 b.PrefixKey FROM refPrefixDetail b WHERE a.CLI LIKE b.Prefix + '%' ORDER BY len(b.Prefix) DESC ) FROM CallData AS a

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  • Avoiding Nested Queries

    - by Midhat
    How Important is it to avoid nested queries. I have always learnt to avoid them like a plague. But they are the most natural thing to me. When I am designing a query, the first thing I write is a nested query. Then I convert it to joins, which sometimes takes a lot of time to get right. And rarely gives a big performance improvement (sometimes it does) So are they really so bad. Is there a way to use nested queries without temp tables and filesort

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  • Performing complicated XPath queries in Scala

    - by Ken Bloom
    What's the simplest API to use in scala to perform the following XPath queries on a document? //s:Annotation[@type='attitude']/s:Content/s:Parameter[@role='type' and not(text())] //s:Annotation[s:Content/s:Parameter[@role='id' and not(text())]]/@type The only documentation I can find on Scala's XML libraries has no information on performing complicated real XPath queries. I used to like JDOM for this purpose (in Java), but since JDOM doesn't support generics, it will be painful to work with in Scala. (Other XML libraries for Java have tended to be even more painful in Java, but I admit I don't know the landscape real well.)

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  • Which can handle a huge surge of queries: SQL Server 2008 Fulltext or Lucene

    - by Luke101
    I am creating a widget that will be installed on several websites and blogs. The widget will analyse the remote webpage title and content, then it will return relevent articles/links on my website. The amount of traffic we expect will be very huge roughly 500K queries a day and up from there. I need the queries to be returned very quickly, so I need the candidate to be high performance, similar to google adsense. The remote title can be from 5 to 50 words and the description we will use no more then 3000 words. Which of these two do you think can handle the load.

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  • fluent nhibernate not caching queries in asp.net mvc

    - by AWC
    I'm using a fluent nhibernate with asp.net mvc and I not seeing anything been cached when making queries against the database. I'm not currently using an L2 cache implementation. Should I see queries being cached without configuring an out of process L2 cache? Mapping are like this: Table("ApplicationCategories"); Not.LazyLoad(); Cache.ReadWrite().IncludeAll(); Id(x => x.Id); Map(x => x.Name).Not.Nullable(); Map(x => x.Description).Nullable(); Example Criteria: return session .CreateCriteria<ApplicationCategory>() .Add(Restrictions.Eq("Name", _name)) .SetCacheable(true); Everytime I make a request for an application cateogry by name it is hitting the database is this expected behaviour?

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  • SQLite problem with some parameterized queries

    - by Trevor Balcom
    I am having some trouble using SQLite and parameterized queries with a few tables. I have noticed some queries using the "SELECT * FROM Table WHERE row=?" are returning 1 row when there should be more rows returned. If I change the parameterized query to "SELECT * FROM Table WHERE row='row'" then the correct number of rows is returned. Does anyone know why sqlite3_step would return only 1 row when using a parameterized query vs. using the same query in a traditional non-parameterized way? I am using a very thin C++ wrapper around SQLite3. I suspect there could be a problem with the wrapper, but this problem only exists on a few tables. It makes me wonder if there is something wrong with the way those tables are setup. Any advice is appreciated.

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  • Logging NHibernate SQL queries

    - by GuestMVCAsync
    Is there a way to access the full SQL query, including the values, inside my code? I am able to log SQL queries using log4net: <logger name="NHibernate.SQL" additivity="false"> <level value="ALL"/> <appender-ref ref="NHibernateSQLFileLog"/> </logger> However, I would like to find a way to log SQL queries from the code also. This way I will log the specific SQL query that causes an exception in my try/catch statement. Right now I have to data-mine the SQLFileLog to find the query that caused the exception when an exception occurs and it is not efficient.

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  • How can I join this 2 queries?(A select query with join and An unpivot query)

    - by MANG KANOR
    Here are my two queries SELECT EWND.Position, NKey = CASE WHEN ISNULL(Translation.Name, '') = '' THEN EWND.Name ELSE Translation.Name END, Unit = EW_N_DEF.Units FROM EWND INNER JOIN EW_N_DEF ON EW_N_DEF.Nutr_No = EWND.Nutr_No LEFT JOIN Translation ON Translation.CodeMain = EWND.Nutr_no WHERE Translation.CodeTrans = 1 ORDER BY EWND.Position And this is the unpivot one SELECT * FROM (SELECT N1,N2,N3,N4,N5,N6,N7,N8,N9,N10,N11,N12,N13,N14,N15,N16,N17,N18,N19,N20,N21,N22,N23,N24,N25,N26,N27,N28,N29,N30,N31,N32,N33,N34 FROM EWNVal WHERE Code=6035) Test UNPIVOT (Value FOR NUTCODE IN (N1,N2,N3,N4,N5,N6,N7,N8,N9,N10,N11,N12,N13,N14,N15,N16,N17,N18,N19,N20,N21,N22,N23,N24,N25,N26,N27,N28,N29,N30,N31,N32,N33,N34) )AS test Both Queries put out same number of rows but not columns, Is it possible to join this two? I tried the union but it has problems that I cant solve Thanks in advance!

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  • Associating multiple MySQL queries w/ PHP?

    - by anon
    I am trying to create a simple inventory request system. A user can enter multiple SKU's that will query the inventory database. My problem is I am trying to do is associate these multiple queries into a type of list. This list can later be retrieved and contains all queries that were submitted simultaneously. When the list is filled it can then be deleted. Is this possible? I am just looking to be pointed in the right direction. Thanks

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  • See queries that hit SQL

    - by Shaded
    I have a really basic stupid easy question about sql... and I'll probably get -100 points... but here it goes anyway... Is there a way using sql 2008 Management Studio to look at the queries that hit the server? I'm trying to debug a program and I get messages like "Incorrect syntax near the keyword 'AND'". Since the queries are being dynamically generated it's a hassle to figure out what is going to the server. Any help is appreciated!

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  • SQL SERVER – Get All the Information of Database using sys.databases

    - by pinaldave
    Earlier I wrote blog article SQL SERVER – Finding Last Backup Time for All Database. In the response of this article I have received very interesting script from SQL Server Expert Matteo as a comment in the blog. He has written script using sys.databases which provides plenty of the information about database. I suggest you can run this on your database and know unknown of your databases as well. SELECT database_id, CONVERT(VARCHAR(25), DB.name) AS dbName, CONVERT(VARCHAR(10), DATABASEPROPERTYEX(name, 'status')) AS [Status], state_desc, (SELECT COUNT(1) FROM sys.master_files WHERE DB_NAME(database_id) = DB.name AND type_desc = 'rows') AS DataFiles, (SELECT SUM((size*8)/1024) FROM sys.master_files WHERE DB_NAME(database_id) = DB.name AND type_desc = 'rows') AS [Data MB], (SELECT COUNT(1) FROM sys.master_files WHERE DB_NAME(database_id) = DB.name AND type_desc = 'log') AS LogFiles, (SELECT SUM((size*8)/1024) FROM sys.master_files WHERE DB_NAME(database_id) = DB.name AND type_desc = 'log') AS [Log MB], user_access_desc AS [User access], recovery_model_desc AS [Recovery model], CASE compatibility_level WHEN 60 THEN '60 (SQL Server 6.0)' WHEN 65 THEN '65 (SQL Server 6.5)' WHEN 70 THEN '70 (SQL Server 7.0)' WHEN 80 THEN '80 (SQL Server 2000)' WHEN 90 THEN '90 (SQL Server 2005)' WHEN 100 THEN '100 (SQL Server 2008)' END AS [compatibility level], CONVERT(VARCHAR(20), create_date, 103) + ' ' + CONVERT(VARCHAR(20), create_date, 108) AS [Creation date], -- last backup ISNULL((SELECT TOP 1 CASE TYPE WHEN 'D' THEN 'Full' WHEN 'I' THEN 'Differential' WHEN 'L' THEN 'Transaction log' END + ' – ' + LTRIM(ISNULL(STR(ABS(DATEDIFF(DAY, GETDATE(),Backup_finish_date))) + ' days ago', 'NEVER')) + ' – ' + CONVERT(VARCHAR(20), backup_start_date, 103) + ' ' + CONVERT(VARCHAR(20), backup_start_date, 108) + ' – ' + CONVERT(VARCHAR(20), backup_finish_date, 103) + ' ' + CONVERT(VARCHAR(20), backup_finish_date, 108) + ' (' + CAST(DATEDIFF(second, BK.backup_start_date, BK.backup_finish_date) AS VARCHAR(4)) + ' ' + 'seconds)' FROM msdb..backupset BK WHERE BK.database_name = DB.name ORDER BY backup_set_id DESC),'-') AS [Last backup], CASE WHEN is_fulltext_enabled = 1 THEN 'Fulltext enabled' ELSE '' END AS [fulltext], CASE WHEN is_auto_close_on = 1 THEN 'autoclose' ELSE '' END AS [autoclose], page_verify_option_desc AS [page verify option], CASE WHEN is_read_only = 1 THEN 'read only' ELSE '' END AS [read only], CASE WHEN is_auto_shrink_on = 1 THEN 'autoshrink' ELSE '' END AS [autoshrink], CASE WHEN is_auto_create_stats_on = 1 THEN 'auto create statistics' ELSE '' END AS [auto create statistics], CASE WHEN is_auto_update_stats_on = 1 THEN 'auto update statistics' ELSE '' END AS [auto update statistics], CASE WHEN is_in_standby = 1 THEN 'standby' ELSE '' END AS [standby], CASE WHEN is_cleanly_shutdown = 1 THEN 'cleanly shutdown' ELSE '' END AS [cleanly shutdown] FROM sys.databases DB ORDER BY dbName, [Last backup] DESC, NAME Please let me know if you find this information useful. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, Readers Contribution, SQL, SQL Authority, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, SQLServer, T SQL, Technology

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  • SQLAuthority News – Bookmark – Deprecated Database Engine Features in SQL Server 2008

    - by pinaldave
    When anybody asked me if any specific feature is available in SQL Server 2008 or if any feature will be disabled in future versions of SQL Server, I always point everybody to following list where all the deprecated database engine features are listed. Deprecated Database Engine Features in SQL Server 2008 R2 Deprecated Database Engine Features in SQL Server 2008 This list is quite helpful and everybody should refer it once. This list has many important details. For example, it suggests “80 compatibility level and upgrade from version 80.” will not be supported in next version of SQL Server. If you are using SQL Server 2000 still today (by any chance) you will be not able to upgrade that to next version of SQL Server directly. It is very important to note that if you are using any feature of SQL Server in compatibility mode and if you find them in the list above. You need to start working on the replacement suggested in article. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Bookmark, SQL, SQL Authority, SQL Documentation, SQL Query, SQL Server, SQL Tips and Tricks, SQLAuthority News, T SQL, Technology

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  • Free NOSQL database for use with C# client [closed]

    - by Mitten
    I've never used NOSQL databases before, but so far it seems like the best data storage solution for my project. I am going to implement a datamining application. The data I would like to mine is thousands of documents which cannot be imported into datamining applications. To make to import easier and faster (than importing thousands of documents) I am planning to import these documents into a NOSQL database first and when import NOSQL database into datamining software. At the very least once I have all the data in NOSQL database I should be able to code simplest datamining logic myself. Am I correct that NOSQL databases allow to creates records of data, but they don't mandate all the records to adhere to the same data schema (same column names/types in a classic table oriended SQL databases)? I think for each document I would create a row/entry/object (not sure what is the correct term is in use in NOSQL world) which would be a string id, few (columns) with unstructured text data, and a dozens of columns mostly of datetime and integer types. From its name NOSQL does not support SQL query syntax, but it support locating the object(row/entry?) by its unique id. Does NOSQL support qyuering objects using property=value syntax? Unfortunately most of free NOSQL db only support Java/C++ clients, which free NOSQL db would you recommend for a C# programmer?

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