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  • 5 Things SQL Server should get rid of

    - by Jonathan Kehayias
    Paul Randal ( blog | twitter ) started a new meme last night with his blog post " What 5 things should SQL Server get rid of? " A few bloggers have posted their top 5 lists, so here is mine. Creating Foreign Keys without mentioning Indexes This is probably a performance tuning consultants favorite.  I know that Greg Low has blogged about this in the past (see Indexing Foreign Keys - should SQL Server do that automatically? ) and back then, and now I still do think this should be an...(read more)

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  • The DBA Team tackles data corruption

    Paul Randal joins the team in this instalment of the DBA Team saga. In this episode, Monte Bank is trying to cover up insider trading - using data corruption to eliminate the evidence, and a patsy DBA to take the blame. It's a great story with useful advice on how to perform thorough data recovery tasks. "A real time saver" Andy Doyle, Head of IT ServicesAndy and his team saved time by automating backup and restores with SQL Backup Pro. Find out how much time you could save. Download a free trial now.

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  • SQL SERVER – Shrinking Database is Bad – Increases Fragmentation – Reduces Performance

    - by pinaldave
    Earlier, I had written two articles related to Shrinking Database. I wrote about why Shrinking Database is not good. SQL SERVER – SHRINKDATABASE For Every Database in the SQL Server SQL SERVER – What the Business Says Is Not What the Business Wants I received many comments on Why Database Shrinking is bad. Today we will go over a very interesting example that I have created for the same. Here are the quick steps of the example. Create a test database Create two tables and populate with data Check the size of both the tables Size of database is very low Check the Fragmentation of one table Fragmentation will be very low Truncate another table Check the size of the table Check the fragmentation of the one table Fragmentation will be very low SHRINK Database Check the size of the table Check the fragmentation of the one table Fragmentation will be very HIGH REBUILD index on one table Check the size of the table Size of database is very HIGH Check the fragmentation of the one table Fragmentation will be very low Here is the script for the same. USE MASTER GO CREATE DATABASE ShrinkIsBed GO USE ShrinkIsBed GO -- Name of the Database and Size SELECT name, (size*8) Size_KB FROM sys.database_files GO -- Create FirstTable CREATE TABLE FirstTable (ID INT, FirstName VARCHAR(100), LastName VARCHAR(100), City VARCHAR(100)) GO -- Create Clustered Index on ID CREATE CLUSTERED INDEX [IX_FirstTable_ID] ON FirstTable ( [ID] ASC ) ON [PRIMARY] GO -- Create SecondTable CREATE TABLE SecondTable (ID INT, FirstName VARCHAR(100), LastName VARCHAR(100), City VARCHAR(100)) GO -- Create Clustered Index on ID CREATE CLUSTERED INDEX [IX_SecondTable_ID] ON SecondTable ( [ID] ASC ) ON [PRIMARY] GO -- Insert One Hundred Thousand Records INSERT INTO FirstTable (ID,FirstName,LastName,City) SELECT TOP 100000 ROW_NUMBER() OVER (ORDER BY a.name) RowID, 'Bob', CASE WHEN ROW_NUMBER() OVER (ORDER BY a.name)%2 = 1 THEN 'Smith' ELSE 'Brown' END, CASE WHEN ROW_NUMBER() OVER (ORDER BY a.name)%10 = 1 THEN 'New York' WHEN ROW_NUMBER() OVER (ORDER BY a.name)%10 = 5 THEN 'San Marino' WHEN ROW_NUMBER() OVER (ORDER BY a.name)%10 = 3 THEN 'Los Angeles' ELSE 'Houston' END FROM sys.all_objects a CROSS JOIN sys.all_objects b GO -- Name of the Database and Size SELECT name, (size*8) Size_KB FROM sys.database_files GO -- Insert One Hundred Thousand Records INSERT INTO SecondTable (ID,FirstName,LastName,City) SELECT TOP 100000 ROW_NUMBER() OVER (ORDER BY a.name) RowID, 'Bob', CASE WHEN ROW_NUMBER() OVER (ORDER BY a.name)%2 = 1 THEN 'Smith' ELSE 'Brown' END, CASE WHEN ROW_NUMBER() OVER (ORDER BY a.name)%10 = 1 THEN 'New York' WHEN ROW_NUMBER() OVER (ORDER BY a.name)%10 = 5 THEN 'San Marino' WHEN ROW_NUMBER() OVER (ORDER BY a.name)%10 = 3 THEN 'Los Angeles' ELSE 'Houston' END FROM sys.all_objects a CROSS JOIN sys.all_objects b GO -- Name of the Database and Size SELECT name, (size*8) Size_KB FROM sys.database_files GO -- Check Fragmentations in the database SELECT avg_fragmentation_in_percent, fragment_count FROM sys.dm_db_index_physical_stats (DB_ID(), OBJECT_ID('SecondTable'), NULL, NULL, 'LIMITED') GO Let us check the table size and fragmentation. Now let us TRUNCATE the table and check the size and Fragmentation. USE MASTER GO CREATE DATABASE ShrinkIsBed GO USE ShrinkIsBed GO -- Name of the Database and Size SELECT name, (size*8) Size_KB FROM sys.database_files GO -- Create FirstTable CREATE TABLE FirstTable (ID INT, FirstName VARCHAR(100), LastName VARCHAR(100), City VARCHAR(100)) GO -- Create Clustered Index on ID CREATE CLUSTERED INDEX [IX_FirstTable_ID] ON FirstTable ( [ID] ASC ) ON [PRIMARY] GO -- Create SecondTable CREATE TABLE SecondTable (ID INT, FirstName VARCHAR(100), LastName VARCHAR(100), City VARCHAR(100)) GO -- Create Clustered Index on ID CREATE CLUSTERED INDEX [IX_SecondTable_ID] ON SecondTable ( [ID] ASC ) ON [PRIMARY] GO -- Insert One Hundred Thousand Records INSERT INTO FirstTable (ID,FirstName,LastName,City) SELECT TOP 100000 ROW_NUMBER() OVER (ORDER BY a.name) RowID, 'Bob', CASE WHEN ROW_NUMBER() OVER (ORDER BY a.name)%2 = 1 THEN 'Smith' ELSE 'Brown' END, CASE WHEN ROW_NUMBER() OVER (ORDER BY a.name)%10 = 1 THEN 'New York' WHEN ROW_NUMBER() OVER (ORDER BY a.name)%10 = 5 THEN 'San Marino' WHEN ROW_NUMBER() OVER (ORDER BY a.name)%10 = 3 THEN 'Los Angeles' ELSE 'Houston' END FROM sys.all_objects a CROSS JOIN sys.all_objects b GO -- Name of the Database and Size SELECT name, (size*8) Size_KB FROM sys.database_files GO -- Insert One Hundred Thousand Records INSERT INTO SecondTable (ID,FirstName,LastName,City) SELECT TOP 100000 ROW_NUMBER() OVER (ORDER BY a.name) RowID, 'Bob', CASE WHEN ROW_NUMBER() OVER (ORDER BY a.name)%2 = 1 THEN 'Smith' ELSE 'Brown' END, CASE WHEN ROW_NUMBER() OVER (ORDER BY a.name)%10 = 1 THEN 'New York' WHEN ROW_NUMBER() OVER (ORDER BY a.name)%10 = 5 THEN 'San Marino' WHEN ROW_NUMBER() OVER (ORDER BY a.name)%10 = 3 THEN 'Los Angeles' ELSE 'Houston' END FROM sys.all_objects a CROSS JOIN sys.all_objects b GO -- Name of the Database and Size SELECT name, (size*8) Size_KB FROM sys.database_files GO -- Check Fragmentations in the database SELECT avg_fragmentation_in_percent, fragment_count FROM sys.dm_db_index_physical_stats (DB_ID(), OBJECT_ID('SecondTable'), NULL, NULL, 'LIMITED') GO You can clearly see that after TRUNCATE, the size of the database is not reduced and it is still the same as before TRUNCATE operation. After the Shrinking database operation, we were able to reduce the size of the database. If you notice the fragmentation, it is considerably high. The major problem with the Shrink operation is that it increases fragmentation of the database to very high value. Higher fragmentation reduces the performance of the database as reading from that particular table becomes very expensive. One of the ways to reduce the fragmentation is to rebuild index on the database. Let us rebuild the index and observe fragmentation and database size. -- Rebuild Index on FirstTable ALTER INDEX IX_SecondTable_ID ON SecondTable REBUILD GO -- Name of the Database and Size SELECT name, (size*8) Size_KB FROM sys.database_files GO -- Check Fragmentations in the database SELECT avg_fragmentation_in_percent, fragment_count FROM sys.dm_db_index_physical_stats (DB_ID(), OBJECT_ID('SecondTable'), NULL, NULL, 'LIMITED') GO You can notice that after rebuilding, Fragmentation reduces to a very low value (almost same to original value); however the database size increases way higher than the original. Before rebuilding, the size of the database was 5 MB, and after rebuilding, it is around 20 MB. Regular rebuilding the index is rebuild in the same user database where the index is placed. This usually increases the size of the database. Look at irony of the Shrinking database. One person shrinks the database to gain space (thinking it will help performance), which leads to increase in fragmentation (reducing performance). To reduce the fragmentation, one rebuilds index, which leads to size of the database to increase way more than the original size of the database (before shrinking). Well, by Shrinking, one did not gain what he was looking for usually. Rebuild indexing is not the best suggestion as that will create database grow again. I have always remembered the excellent post from Paul Randal regarding Shrinking the database is bad. I suggest every one to read that for accuracy and interesting conversation. Let us run following script where we Shrink the database and REORGANIZE. -- Name of the Database and Size SELECT name, (size*8) Size_KB FROM sys.database_files GO -- Check Fragmentations in the database SELECT avg_fragmentation_in_percent, fragment_count FROM sys.dm_db_index_physical_stats (DB_ID(), OBJECT_ID('SecondTable'), NULL, NULL, 'LIMITED') GO -- Shrink the Database DBCC SHRINKDATABASE (ShrinkIsBed); GO -- Name of the Database and Size SELECT name, (size*8) Size_KB FROM sys.database_files GO -- Check Fragmentations in the database SELECT avg_fragmentation_in_percent, fragment_count FROM sys.dm_db_index_physical_stats (DB_ID(), OBJECT_ID('SecondTable'), NULL, NULL, 'LIMITED') GO -- Rebuild Index on FirstTable ALTER INDEX IX_SecondTable_ID ON SecondTable REORGANIZE GO -- Name of the Database and Size SELECT name, (size*8) Size_KB FROM sys.database_files GO -- Check Fragmentations in the database SELECT avg_fragmentation_in_percent, fragment_count FROM sys.dm_db_index_physical_stats (DB_ID(), OBJECT_ID('SecondTable'), NULL, NULL, 'LIMITED') GO You can see that REORGANIZE does not increase the size of the database or remove the fragmentation. Again, I no way suggest that REORGANIZE is the solution over here. This is purely observation using demo. Read the blog post of Paul Randal. Following script will clean up the database -- Clean up USE MASTER GO ALTER DATABASE ShrinkIsBed SET SINGLE_USER WITH ROLLBACK IMMEDIATE GO DROP DATABASE ShrinkIsBed GO There are few valid cases of the Shrinking database as well, but that is not covered in this blog post. We will cover that area some other time in future. Additionally, one can rebuild index in the tempdb as well, and we will also talk about the same in future. Brent has written a good summary blog post as well. Are you Shrinking your database? Well, when are you going to stop Shrinking it? Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL Index, SQL Performance, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, SQLServer, T SQL, Technology

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  • DBCC CHECKDB on VVLDB and latches (Or: My Pain is Your Gain)

    - by Argenis
      Does your CHECKDB hurt, Argenis? There is a classic blog series by Paul Randal [blog|twitter] called “CHECKDB From Every Angle” which is pretty much mandatory reading for anybody who’s even remotely considering going for the MCM certification, or its replacement (the Microsoft Certified Solutions Master: Data Platform – makes my fingers hurt just from typing it). Of particular interest is the post “Consistency Options for a VLDB” – on it, Paul provides solid, timeless advice (I use the word “timeless” because it was written in 2007, and it all applies today!) on how to perform checks on very large databases. Well, here I was trying to figure out how to make CHECKDB run faster on a restored copy of one of our databases, which happens to exceed 7TB in size. The whole thing was taking several days on multiple systems, regardless of the storage used – SAS, SATA or even SSD…and I actually didn’t pay much attention to how long it was taking, or even bothered to look at the reasons why - as long as it was finishing okay and found no consistency errors. Yes – I know. That was a huge mistake, as corruption found in a database several days after taking place could only allow for further spread of the corruption – and potentially large data loss. In the last two weeks I increased my attention towards this problem, as we noticed that CHECKDB was taking EVEN LONGER on brand new all-flash storage in the SAN! I couldn’t really explain it, and were almost ready to blame the storage vendor. The vendor told us that they could initially see the server driving decent I/O – around 450Mb/sec, and then it would settle at a very slow rate of 10Mb/sec or so. “Hum”, I thought – “CHECKDB is just not pushing the I/O subsystem hard enough”. Perfmon confirmed the vendor’s observations. Dreaded @BlobEater What was CHECKDB doing all the time while doing so little I/O? Eating Blobs. It turns out that CHECKDB was taking an extremely long time on one of our frankentables, which happens to be have 35 billion rows (yup, with a b) and sucks up several terabytes of space in the database. We do have a project ongoing to purge/split/partition this table, so it’s just a matter of time before we deal with it. But the reality today is that CHECKDB is coming to a screeching halt in performance when dealing with this particular table. Checking sys.dm_os_waiting_tasks and sys.dm_os_latch_stats showed that LATCH_EX (DBCC_OBJECT_METADATA) was by far the top wait type. I remembered hearing recently about that wait from another post that Paul Randal made, but that was related to computed-column indexes, and in fact, Paul himself reminded me of his article via twitter. But alas, our pathologic table had no non-clustered indexes on computed columns. I knew that latches are used by the database engine to do internal synchronization – but how could I help speed this up? After all, this is stuff that doesn’t have a lot of knobs to tweak. (There’s a fantastic level 500 talk by Bob Ward from Microsoft CSS [blog|twitter] called “Inside SQL Server Latches” given at PASS 2010 – and you can check it out here. DISCLAIMER: I assume no responsibility for any brain melting that might ensue from watching Bob’s talk!) Failed Hypotheses Earlier on this week I flew down to Palo Alto, CA, to visit our Headquarters – and after having a great time with my Monkey peers, I was relaxing on the plane back to Seattle watching a great talk by SQL Server MVP and fellow MCM Maciej Pilecki [twitter] called “Masterclass: A Day in the Life of a Database Transaction” where he discusses many different topics related to transaction management inside SQL Server. Very good stuff, and when I got home it was a little late – that slow DBCC CHECKDB that I had been dealing with was way in the back of my head. As I was looking at the problem at hand earlier on this week, I thought “How about I set the database to read-only?” I remembered one of the things Maciej had (jokingly) said in his talk: “if you don’t want locking and blocking, set the database to read-only” (or something to that effect, pardon my loose memory). I immediately killed the CHECKDB which had been running painfully for days, and set the database to read-only mode. Then I ran DBCC CHECKDB against it. It started going really fast (even a bit faster than before), and then throttled down again to around 10Mb/sec. All sorts of expletives went through my head at the time. Sure enough, the same latching scenario was present. Oh well. I even spent some time trying to figure out if NUMA was hurting performance. Folks on Twitter made suggestions in this regard (thanks, Lonny! [twitter]) …Eureka? This past Friday I was still scratching my head about the whole thing; I was ready to start profiling with XPERF to see if I could figure out which part of the engine was to blame and then get Microsoft to look at the evidence. After getting a bunch of good news I’ll blog about separately, I sat down for a figurative smack down with CHECKDB before the weekend. And then the light bulb went on. A sparse column. I thought that I couldn’t possibly be experiencing the same scenario that Paul blogged about back in March showing extreme latching with non-clustered indexes on computed columns. Did I even have a non-clustered index on my sparse column? As it turns out, I did. I had one filtered non-clustered index – with the sparse column as the index key (and only column). To prove that this was the problem, I went and setup a test. Yup, that'll do it The repro is very simple for this issue: I tested it on the latest public builds of SQL Server 2008 R2 SP2 (CU6) and SQL Server 2012 SP1 (CU4). First, create a test database and a test table, which only needs to contain a sparse column: CREATE DATABASE SparseColTest; GO USE SparseColTest; GO CREATE TABLE testTable (testCol smalldatetime SPARSE NULL); GO INSERT INTO testTable (testCol) VALUES (NULL); GO 1000000 That’s 1 million rows, and even though you’re inserting NULLs, that’s going to take a while. In my laptop, it took 3 minutes and 31 seconds. Next, we run DBCC CHECKDB against the database: DBCC CHECKDB('SparseColTest') WITH NO_INFOMSGS, ALL_ERRORMSGS; This runs extremely fast, as least on my test rig – 198 milliseconds. Now let’s create a filtered non-clustered index on the sparse column: CREATE NONCLUSTERED INDEX [badBadIndex] ON testTable (testCol) WHERE testCol IS NOT NULL; With the index in place now, let’s run DBCC CHECKDB one more time: DBCC CHECKDB('SparseColTest') WITH NO_INFOMSGS, ALL_ERRORMSGS; In my test system this statement completed in 11433 milliseconds. 11.43 full seconds. Quite the jump from 198 milliseconds. I went ahead and dropped the filtered non-clustered indexes on the restored copy of our production database, and ran CHECKDB against that. We went down from 7+ days to 19 hours and 20 minutes. Cue the “Argenis is not impressed” meme, please, Mr. LaRock. My pain is your gain, folks. Go check to see if you have any of such indexes – they’re likely causing your consistency checks to run very, very slow. Happy CHECKDBing, -Argenis ps: I plan to file a Connect item for this issue – I consider it a pretty serious bug in the engine. After all, filtered indexes were invented BECAUSE of the sparse column feature – and it makes a lot of sense to use them together. Watch this space and my twitter timeline for a link.

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  • DENY select on sys.dm_db_index_physical_stats

    - by steveh99999
    Technorati Tags: security,DMV,permission,sys.dm_db_index_physical_stats I recently saw an interesting blog article by Paul Randal about the performance overhead of querying the sys.dm_db_index_physical_stats. So I was thinking, would it be possible to let non-sysadmin users query DMVs on a SQL server but stop them querying this I/O intensive DMV ? Yes it is, here’s how… 1. Create a new login for test purposes, with permissions to access AdventureWorks database only … CREATE LOGIN [test] WITH PASSWORD='xxxx', DEFAULT_DATABASE=[AdventureWorks] GO USE [AdventureWorks] GO CREATE USER [test] FOR LOGIN [test] WITH DEFAULT_SCHEMA=[dbo] GO 2.login as user test and issue command SELECT  * FROM sys.dm_db_index_physical_stats(DB_ID('AdventureWorks'),NULL,NULL,NULL,'DETAILED') gets error :-  Msg 297, Level 16, State 12, Line 1 The user does not have permission to perform this action. 3.As a sysadmin, issue command :- USE AdventureWorks GRANT VIEW DATABASE STATE TO [test] or GRANT VIEW SERVER STATE TO [test] if all databases can be queried via DMV. 4. Try again as user test to issue command SELECT * FROM sys.dm_db_index_physical_stats(DB_ID('AdventureWorks '),NULL,NULL,NULL,'DETAILED') -- now produces valid results from the DMV.. 5 now create the test user in master database, public role only USE master CREATE USER [test] FOR LOGIN [test] 6 issue command :- USE master DENY SELECT ON sys.dm_db_index_physical_stats TO [test] 7 Now go back to AdventureWorks using test login and try SELECT * FROM sys.dm_db_index_physical_stats(DB_ID('AdventureWorks’),NULL,NULL,NULL,’DETAILED') Now gets error... Msg 229, Level 14, State 5, Line 1 The SELECT permission was denied on the object 'dm_db_index_physical_stats', database 'mssqlsystemresource', schema 'sys'. but the user is still able to query all other non-IO-intensive DMVs. If the user attempts to view the index physical stats via a builtin management studio report  – see recent blog post by Pinal Dave they get an error also

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  • Oracle Insurance Unveils Next Generation of Enterprise Document Automation: Oracle Documaker Enterprise Edition

    - by helen.pitts(at)oracle.com
    Oracle today announced the introduction of Oracle Documaker Enterprise Edition, the next generation of the company's market-leading Enterprise Document Automation (EDA) solution for dynamically creating, managing and delivering adaptive enterprise communications across multiple channels. "Insurers and other organizations need enterprise document automation that puts the power to manage the complete document lifecycle in the hands of the business user," said Srini Venkatasanthanam, vice president, Product Strategy, Oracle Insurancein the press release. "Built with features such as rules-based configurability and interactive processing, Oracle Documaker Enterprise Edition makes possible an adaptive approach to enterprise document automation - documents when, where and in the form they're needed." Key enhancements in Oracle Documaker Enterprise Edition include: Documaker Interactive, the newly renamed and redesigned Web-based iDocumaker module. Documaker Interactive enables users to quickly and interactively create and assemble compliant communications such as policy and claims correspondence directly from their desktops. Users benefits from built-in accelerators and rules-based configurability, pre-configured content as well as embedded workflow leveraging Oracle BPEL Process Manager. Documaker Documaker Factory, which helps enterprises reduce cost and improve operational efficiency through better management of their enterprise publishing operations. Dashboards, analytics, reporting and an administrative console provide insurers with greater insight and centralized control over document production allowing them to better adapt their resources based on business demands. Other enhancements include: enhanced business user empowerment; additional multi-language localization capabilities; and benefits from the use of powerful Oracle technologies such as the Oracle Application Development Framework for all interfaces and Oracle Universal Content Management (Oracle UCM) for enterprise content management. Drive Competitive Advantage and Growth: Deb Smallwood, founder of SMA Strategy Meets Action, a leading industry insurance analyst consulting firm and co-author of 3CM in Insurance: Customer Communications and Content Management published last month, noted in the press release that "maximum value can be gained from investments when Enterprise Document Automation (EDA) is viewed holistically and all forms of communication and all types of information are integrated across the entire enterprise. "Insurers that choose an approach that takes all communications, both structured and unstructured data, coming into the company from a wide range of channels, and then create seamless flows of information will have a real competitive advantage," Smallwood said. "This capability will soon become essential for selling, servicing, and ultimately driving growth through new business and retention." Learn More: Click here to watch a short flash demo that demonstrates the real business value offered by Oracle Documaker Enterprise Edition. You can also see how an insurance company can use Oracle Documaker Enterprise Edition to dynamically create, manage and publish adaptive enterprise content throughout the insurance business lifecycle for delivery across multiple channels by visiting Alamere Insurance, a fictional model insurance company created by Oracle to showcase how Oracle applications can be leveraged within the insurance enterprise. Meet Our Newest Oracle Insurance Blogger: I'm pleased to introduce our newest Oracle Insurance blogger, Susanne Hale. Susanne, who manages product marketing for Oracle Insurance EDA solutions, will be sharing insights about this topic along with examples of how our customers are transforming their enterprise communications using Oracle Documaker Enterprise Edition in future Oracle Insurance blog entries. Helen Pitts is senior product marketing manager for Oracle Insurance.

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  • Data Governance (Veri Yönetisimi)

    - by Arda Eralp
    Data governance,veri ile ilgili islemler için bir sorumluluklar sistemidir. Bu sistemin temelini ise politikalar, standartlar ve prosedürler olusturur. Sistem politikalar, standartlar ve prosedürler sayesinde verinin ne zaman, hangi sartlar altinda, hangi eylemlerde, hangi yöntemler ile kimler tarafindan kullanilacagina karar verir. Sistemin kurumda basarili bir sekilde islemesi için öncelikle kurumda farkindalik saglanmasi gereklidir. Farkindalik saglandiktan sonra ise kurum governance ve mimari kültürünü benimsemelidir. Ancak bu sartlar altinda sistem basarili bir sekilde isleyebilecektir. Bu sebeplerden dolayidir ki data governance kisa bir süreç degil, aksine kurum varligini sürdürdügü sürece isleyecek olan bir süreçtir. Bu durum bize data governance in bir proje degil bir program oldugunu açiklamaktadir. Programin baslangicinda kurumun ihtiyaçlarinin netlesmesi ve farkindaligin saglanmasi temeldir. Hedef kitle ise, veri ile dogrudan ve ya dolayli olarak iliski içerisinde olan herkesdir. Bu sebeple programin baslangicinda hedef kitleyi içeren ekipler ile toplantilar düzenlenecektir. Bu toplantilar sayesinde hem farkindalik saglanacak hemde ekiplerin ihtiyaçlari birebir ekipler tarafindan aktarilarak netlesecektir. Hedef kitlenin ihtiyaçlari netlestirildikten sonra ise devamli isleyecek olan bu sürecin planlamasi yapilacaktir. Bu sürecin planlanmasinda ihtiyaçlarin önceliklendirilmesi gerekmektedir. Sebebi ise her ekibin ihtiyaçlarinin farkli olabilecegi ve bütün ihtiyaçlara ayni anda karsilik verilemeyebileceginin öngörülmesidir. Bu öngörünün temeli ise ekiplerin ihtiyaçlarinin birbirleriyle olan baglantisidir. Süreç planlamasinda ihtiyaçlarin önceliklendirilmesinin ardindan kurumun büyüklügünün gözönünde bulundurulmasi gerekmedir. Kurumun büyüklügünün önemi ise eger kurum bir bütün olarak ayni anda govern edilemeyecek kadar büyük ise ihtiyaçlari öncelikli olarak bulunan ekipler ile govern edilmesine baslanarak sürecin belirli bir hiz ile bütün kurumda isler hale getirilmesini saglamaktir. Ihtiyaçlar belirlendikten ve ilgili ekipler seçildikten sonra artik programin planlanmasina geçilebilecek. Programin planlama asamasinda öncelikli olarak sürecin asamalarini kontrol edecek ve süreç kurum içerisinde isleyise geçtiginde kontrolü saglayacak olan Data Governance Office in planlanmasidir. Office in planlanmasiyla birlikte süreçteki roller ve bu rollerin sorumluluklari belirlenecektir. Planlama asamasinda Data governance office, roller ve sorumluluklar, güvenlik ve veri saklanan sistemler ele alinacak konulardir. Planlama asamasi tamamlandiginda ise belirlenen ekipler ve ihtiyaçlar dogrultusunda programin isleyis asamasina geçilebilecektir. Isleyis kisminda ekibin ihtiyaçlari dogrultusunda güvenlik konusunda ve veri saklanan sistemler üzerinde çalismalar yapilacaktir. Bu yapilan çalismalar bir süreç olarak dökümante edilecek ve süreç sona erdiginde baska bir ekiple baska bir ihtiyaç dogrultusunda çalisma yapilarak ayni süreç isletilecek ve böylece kurum içesinde ilgili süreçte standartlasma saglanacaktir. Güvenlik konusunda verinin erisim güvenligi ve kullanim güvenligi ele alinacaktir. Veri saklanan sistemler üzerindeki çalismalar ise saklanan sistemlerin program dahilinde belirlenen standartlar ile olusturulmasi ve yönetilmesi saglanacaktir. Isleyis kisminin ardindan ise programin izleme kismina geçilecektir. Bu kisimda artik Data Governance Office olusmus, politikalar, standartlar ve prosedürler belirlenmistir. Ve Data Governance Office çalisanlari rolleri ve sorumluluklari dahilinde programin isleyisini izleyecek ve gerek gördügünde politikalar standartlar ve prosedürler üzerinde degisiklikler yapacaklardir.

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  • SQL SERVER – WRITELOG – Wait Type – Day 17 of 28

    - by pinaldave
    WRITELOG is one of the most interesting wait types. So far we have seen a lot of different wait types, but this log type is associated with log file which makes it interesting to deal with. From Book On-Line: WRITELOG Occurs while waiting for a log flush to complete. Common operations that cause log flushes are checkpoints and transaction commits. WRITELOG Explanation: This wait type is usually seen in the heavy transactional database. When data is modified, it is written both on the log cache and buffer cache. This wait type occurs when data in the log cache is flushing to the disk. During this time, the session has to wait due to WRITELOG. I have recently seen this wait type’s persistence at my client’s place, where one of the long-running transactions was stopped by the user causing it to roll back. In the future, I will see if I could re-create this situation once again on my machine to validate the relation. Reducing WRITELOG wait: There are several suggestions to reduce this wait stats: Move Transaction Log to Separate Disk from mdf and other files. Avoid cursor-like coding methodology and frequent committing of statements. Find the most active file based on IO stall time based on the script written over here. You can also use fn_virtualfilestats to find IO-related issues using the script mentioned over here. Check the IO-related counters (PhysicalDisk:Avg.Disk Queue Length, PhysicalDisk:Disk Read Bytes/sec and PhysicalDisk :Disk Write Bytes/sec) for additional details. Read about them over here. There are two excellent resources by Paul Randal, I suggest you understand the subject from those videos. The links to videos are here and here. Note: The information presented here is from my experience and there is no way that I claim it to be accurate. I suggest reading Book OnLine for further clarification. All the discussion of Wait Stats in this blog is generic and varies from system to system. It is recommended that you test this on a development server before implementing it to a production server. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, SQL Wait Stats, SQL Wait Types, T SQL, Technology

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  • Ghost Records, Backups, and Database Compression…With a Pinch of Security Considerations

    - by Argenis
      Today Jeffrey Langdon (@jlangdon) posed on #SQLHelp the following questions: So I set to answer his question, and I said to myself: “Hey, I haven’t blogged in a while, how about I blog about this particular topic?”. Thus, this post was born. (If you have never heard of Ghost Records and/or the Ghost Cleanup Task, go see this blog post by Paul Randal) 1) Do ghost records get copied over in a backup? If you guessed yes, you guessed right. The backup process in SQL Server takes all data as it is on disk – it doesn’t crack the pages open to selectively pick which slots have actual data and which ones do not. The whole page is backed up, regardless of its contents. Even if ghost cleanup has run and processed the ghost records, the slots are not overwritten immediately, but rather until another DML operation comes along and uses them. As a matter of fact, all of the allocated space for a database will be included in a full backup. So, this poses a bit of a security/compliance problem for some of you DBA folk: if you want to take a full backup of a database after you’ve purged sensitive data, you should rebuild all of your indexes (with FILLFACTOR set to 100%). But the empty space on your data file(s) might still contain sensitive data! A SHRINKFILE might help get rid of that (not so) empty space, but that might not be the end of your troubles. You might _STILL_ have (not so) empty space on your files! One approach that you can follow is to export all of the data on your database to another SQL Server instance that does NOT have Instant File Initialization enabled. This can be a tedious and time-consuming process, though. So you have to weigh in your options and see what makes sense for you. Snapshot Replication is another idea that comes to mind. 2) Does Compression get rid of ghost records (2008)? The answer to this is no. The Ghost Records/Ghost Cleanup Task mechanism is alive and well on compressed tables and indexes. You can prove this running a simple script: CREATE DATABASE GhostRecordsTest GO USE GhostRecordsTest GO CREATE TABLE myTable (myPrimaryKey int IDENTITY(1,1) PRIMARY KEY CLUSTERED,                       myWideColumn varchar(1000) NOT NULL DEFAULT 'Default string value')                         ALTER TABLE myTable REBUILD PARTITION = ALL WITH (DATA_COMPRESSION = PAGE) GO INSERT INTO myTable DEFAULT VALUES GO 10 DELETE myTable WHERE myPrimaryKey % 2 = 0 DBCC TRACEON(2514) DBCC CHECKTABLE(myTable) TraceFlag 2514 will make DBCC CHECKTABLE give you an extra tidbit of information on its output. For the above script: “Ghost Record count = 5” Until next time,   -Argenis

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  • Ghost Records, Backups, and Database Compression…With a Pinch of Security Considerations

    - by Argenis
      Today Jeffrey Langdon (@jlangdon) posed on #SQLHelp the following questions: So I set to answer his question, and I said to myself: “Hey, I haven’t blogged in a while, how about I blog about this particular topic?”. Thus, this post was born. (If you have never heard of Ghost Records and/or the Ghost Cleanup Task, go see this blog post by Paul Randal) 1) Do ghost records get copied over in a backup? If you guessed yes, you guessed right. The backup process in SQL Server takes all data as it is on disk – it doesn’t crack the pages open to selectively pick which slots have actual data and which ones do not. The whole page is backed up, regardless of its contents. Even if ghost cleanup has run and processed the ghost records, the slots are not overwritten immediately, but rather until another DML operation comes along and uses them. As a matter of fact, all of the allocated space for a database will be included in a full backup. So, this poses a bit of a security/compliance problem for some of you DBA folk: if you want to take a full backup of a database after you’ve purged sensitive data, you should rebuild all of your indexes (with FILLFACTOR set to 100%). But the empty space on your data file(s) might still contain sensitive data! A SHRINKFILE might help get rid of that (not so) empty space, but that might not be the end of your troubles. You might _STILL_ have (not so) empty space on your files! One approach that you can follow is to export all of the data on your database to another SQL Server instance that does NOT have Instant File Initialization enabled. This can be a tedious and time-consuming process, though. So you have to weigh in your options and see what makes sense for you. Snapshot Replication is another idea that comes to mind. 2) Does Compression get rid of ghost records (2008)? The answer to this is no. The Ghost Records/Ghost Cleanup Task mechanism is alive and well on compressed tables and indexes. You can prove this running a simple script: CREATE DATABASE GhostRecordsTest GO USE GhostRecordsTest GO CREATE TABLE myTable (myPrimaryKey int IDENTITY(1,1) PRIMARY KEY CLUSTERED,                       myWideColumn varchar(1000) NOT NULL DEFAULT 'Default string value')                         ALTER TABLE myTable REBUILD PARTITION = ALL WITH (DATA_COMPRESSION = PAGE) GO INSERT INTO myTable DEFAULT VALUES GO 10 DELETE myTable WHERE myPrimaryKey % 2 = 0 DBCC TRACEON(2514) DBCC CHECKTABLE(myTable) TraceFlag 2514 will make DBCC CHECKTABLE give you an extra tidbit of information on its output. For the above script: “Ghost Record count = 5” Until next time,   -Argenis

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  • SQL Server Scripts I Use

    - by Bill Graziano
    When I get to a new client I usually find myself using the same set of scripts for maintenance and troubleshooting.  These are all drop in solutions for various maintenance issues. Reindexing.  I use Michelle Ufford’s (SQLFool) re-indexing script.  I like that it has a throttle and only re-indexes when needed.  She also has a variety of other interesting scripts on her blog too. Server Activity.  Adam Machanic is up to version 10 of sp_WhoIsActive.  It’s a great replacement for the sp_who* stored procedures and does so much more.  If a server is acting funny this is one of the first tools I use. Backups.  Tara Kizer has a great little T-SQL script for SQL Server backups.  Wait Stats.  Paul Randal has a great script to display wait stats.  The biggest benefit for me is that his script filters out at least three dozen wait stats that I just don’t care about (for example LAZYWRITER_SLEEP). Update Statistics.  I didn’t find anything I liked so I wrote a simple script to update stats myself.  The big need for me was that it had to run inside a time window and update the oldest statistics first.  Is there a better one? Diagnostic Queries.  Glenn Berry has a huge collection of DMV queries available.  He also just highlighted five of them including two I really like dealing with unused indexes and suggested indexes. Single Use Query Plans.  Kim Tripp has a script that counts the number of single-use query plans.  This should guide you in whether to enable the Optimize for Adhoc Workloads option in SQL Server 2008. Granting Permissions to Developers.  This is one of those scripts I didn’t even know I needed until I needed it.  Kendra Little wrote it to grant a login read-only permission to all the databases.  It also grants view server state and a few other handy permissions.   What else do you use?  What should I add to my list?

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  • Question about using adaptive layout + print style sheet

    - by Michael
    Hey everyone, In my web design class, we looked at creating different style sheets for different window sizes and using a javascript that detects the window size and loads the right style sheet. In the head, I'm linking to three external style sheets, as well as a link to the javascript file. So the adaptive layout works fine. However... I also need to be able to use a print style sheet with this particular webpage (it's the requirement for this project). The problem is this that the way the javascript was written makes it so that it ignores the print style sheet. When I go to print preview, it ignores the print style sheet and the preview shows me all of my webpage unstyled. It looks like just the html when opened in a browser. I am using the javascript by Kevin Hale at ParticleTree, and I'm sure there are those familiar with this :] http://particletree.com/examples/dynamiclayouts/ I would like to know what needs to be changed so that the print style sheet isn't ignored. I've shown this to my professor. However, her email wasn't clear enough, but I understand that somehow the script is ignoring the print.css and that's why the print preview shows a css-less preview. Since it's the weekend, I won't be able to get an answer until Monday, and I was hoping someone can help me out. Thank you very much! Michael

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  • Shrinking a large transaction log on a full drive

    - by Sam
    Someone fired off an update statement as part of some maintenance which did a cross join update on two tables with 200,000 records in each. That's 40 trillion statements, which would explain part of how the log grew to 200GB. I also did not have the log file capped, which is another problem I will be taking care of server wide - where we have almost 200 databases residing. The 'solution' I used was to backup the database, backup the log with truncate_only, and then backup the database again. I then shrunk the log file and set a cap on the log. Seeing as there were other databases using the log drive, I was in a bit of a rush to clean it out. I might have been able to back the log file up to our backup drive, hoping that no other databases needed to grow their log file. Paul Randal from http://technet.microsoft.com/en-us/magazine/2009.02.logging.aspx Under no circumstances should you delete the transaction log, try to rebuild it using undocumented commands, or simply truncate it using the NO_LOG or TRUNCATE_ONLY options of BACKUP LOG (which have been removed in SQL Server 2008). These options will either cause transactional inconsistency (and more than likely corruption) or remove the possibility of being able to properly recover the database. Were there any other options I'm not aware of?

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  • It’s the thought that counts…

    - by Tony Davis
    I recently finished editing a book called Tribal SQL, and it was a fantastic experience. It’s a community-sourced book written by first-timers. Fifteen previously unpublished authors contributed one chapter each, with the seemingly simple remit to write about “what makes them passionate about working with SQL Server, something that all SQL Server DBAs and developers really need to know”. Sure, some of the writing skills were a bit rusty as one would expect from busy people, but the ideas and energy were sheer nectar. Any seasoned editor can deal easily with the problem of fixing the output of untrained writers. We can handle with the occasional technical error too, which is why we have technical reviewers. The editor’s real job is to hone the clarity and flow of ideas, making the author’s knowledge and experience accessible to as many others as possible. What the writer needs to bring, on the other hand, is enthusiasm, attention to detail, common sense, and a sense of the person behind the writing. If any of these are missing, no editor can fix it. We can see these essential characteristics in many of the more seasoned and widely-published writers about SQL. To illustrate what I mean by enthusiasm, or passion, take a look at the work of Laerte Junior or Fabiano Amorim. Both authors have English as a second language, but their energy, enthusiasm, sheer immersion in a technology and thirst to know more, drives them, with a little editorial help, to produce articles of far more practical value than one can find in the “manuals”. There’s the attention to detail of the likes of Jonathan Kehayias, or Paul Randal. Read their work and one begins to understand the knowledge coupled with incredible rigor, the willingness to bend and test every piece of advice offered to make sure it’s correct, that marks out the very best technical writing. There’s the common sense of someone like Louis Davidson. All writers, including Louis, like to stretch the grey matter of their readers, but some of the most valuable writing is that which takes a complicated idea, or distils years of experience, and expresses it in a way that sounds like simple common sense. There’s personality and humor. Contrary to what you may have been told, they can and do mix well with technical writing, as long as they don’t become a distraction. Read someone like Rodney Landrum, or Phil Factor, for numerous examples of articles that teach hard technical lessons but also make you smile at least twice along the way. Writing well is not easy and it takes a certain bravery to expose your ideas and knowledge for dissection by others, but it doesn’t mean that writing should be the preserve only of those trained in the art, or best left to the MVPs. I believe that Tribal SQL is testament to the fact that if you have passion for what you do, and really know your topic then, with a little editorial help, you can write, and people will learn from what you have to say. You can read a sample chapter, by Mark Rasmussen, in this issue of Simple-Talk and I hope you’ll consider checking out the book (if you needed any further encouragement, it’s also for a good cause, Computers4Africa). Cheers, Tony  

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  • Top 10 Linked Blogs of 2010

    - by Bill Graziano
    Each week I send out a SQL Server newsletter and include links to interesting blog posts.  I’ve linked to over 500 blog posts so far in 2010.  Late last year I started storing those links in a database so I could do a little reporting.  I tend to link to posts related to the OLTP engine.  I also try to link to the individual blogger in the group blogs.  Unfortunately that wasn’t possible for the SQLCAT and CSS blogs.  I also have a real weakness for posts related to PASS. These are the top 10 blogs that I linked to during the year ordered by the number of posts I linked to. Paul Randal – Paul writes extensively on the internals of the relational engine.  Lots of great posts around transactions, transaction log, disaster recovery, corruption, indexes and DBCC.  I also linked to many of his SQL Server myths posts. Glenn Berry – Glenn writes very interesting posts on how hardware affects SQL Server.  I especially like his posts on the various CPU platforms.  These aren’t necessarily topics that I’m searching for but I really enjoy reading them. The SQLCAT Team – This Microsoft team focuses on the largest and most interesting SQL Server installations.  The regularly publish white papers and best practices. SQL Server CSS Team – These are the top engineers from the Microsoft Customer Service and Support group.  These are the folks you finally talk to after your case has been escalated about 20 times.  They write about the interesting problems they find. Brent Ozar – The posts I linked to mostly focused on the relational engine: CPU, NUMA, SSD drives, performance monitoring, etc.  But Brent writes about a real variety of topics including blogging, social networking, speaking, the MCM, SQL Azure and anything else that seems to strike his fancy.  His posts are always well written and though provoking. Jeremiah Peschka – A number of Jeremiah’s posts weren’t about SQL Server.  He’s very active in the “NoSQL” area and I linked to a number of those posts.  I think it’s important for people to know what other technologies are out there. Brad McGehee – Brad writes about being a DBA including maintenance plans, DBA checklists, compression and audit. Thomas LaRock – I linked to a variety of posts from PBM to networking to 24 Hours of PASS to TDE.  Just a real variety of topics.  Tom always writes with an interesting style usually mixing in a movie theme and/or bacon. Aaron Bertrand – Many of my links this year were Denali features.  He also had a great series on bad habits to kick. Michael J. Swart – This last one surprised me.  There are some well known SQL Server bloggers below Michael on this list.  I linked to posts on indexes, hierarchies, transactions and I/O performance and a variety of other engine related posts.  All are interesting and well thought out.  Many of his non-SQL posts are also very good.  He seems to have an interest in puzzles and other brain teasers.  Michael, I won’t be surprised again!

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  • SQL Sentry Truth-Telling and Disk Configuration

    - by AjarnMark
    Recently, SQL Sentry told me something about my SQL Server disk configurations that I just didn’t want to believe, but alas, it was true. Several days ago I posted my First Impressions of the SQL Sentry Power Suite.  Today’s post could fall into the category of, “Hey, as long as you have that fancy tool…”  Unfortunately, it also falls into the category of an overloaded worker taking someone else’s word for the truth, not verifying it with independent fact-checking, and then making decisions based on that.  Here’s my story… I’m not exactly an Accidental DBA (or Involuntary DBA as Paul Randal calls it).  I came to this company five years ago as a lead application developer with extensive experience in database design and development.  I worked my way into management, and along the way, took over the DBA responsibilities.  Fortunately, our systems run pretty smoothly most of the time, but I’m always looking for ways to make them better and to fit into my understanding of best practices.  When I took over as DBA, I inherited a SQL 2000 server with about 30 databases on it supporting our main systems, and a SQL 2005 server with multiple instances.  Both of these servers were configured with the Operating System and Application files on the C drive, data files on a different drive letter, and log files on a third drive letter.  Even before I took over as DBA, I verified that this was true with a previous server administrator, and that these represented actual separate disks.  He stated that they did, and I thought that all was well. Then one day, I’m poking around inside the SQL Sentry Performance Advisor, checking out features as I am evaluating whether to purchase the product, and I come across a Disk Configuration section.  The first thing I notice is that the drives do not have the proper partition offset, which was not at all surprising to me given the age of the installation and the relative newness of that topic.  But what threw me for a loop was that the graphic display appeared to be telling me that I did not in fact have three separate drives (or arrays) but rather had two, and that the log files were merely on a separate volume on the same physical array as the OS.  I figured that I must be reading it wrong so I scanned the Help file, but that just seemed to confirm my interpretation.  Then I thought, “there must be something wrong with the demo version of the software!  This can’t be right!”  But just to double-check, I went to our current server admin to talk it over with him, and sure enough, SQL Sentry was telling the truth! I was stunned!  I quickly went through the grieving process…denial…anger…reconciliation.  Here was something that I thought was such a basic truth that was turned upside down.  OK, granted, this wasn’t disastrous.  Our databases didn’t suddenly grind to a halt.  I didn’t get calls late at night inquiring about the sudden downturn in performance.  But it was a bit of a shock to the system, in a good way, to jolt me out of taking what I had believed as the truth for granted, and instead to Trust, but Verify! Yes, before someone else points it out, I know that there are”free” disk management tools built-in to Windows that would have told me the same thing if I had only looked at them; I did not have to buy a fancy tool to tell me that, but the fact is, until I was evaluating the tool, I had just gone with what I was told, and never bothered to check what was actually there. So, what things do you believe to be true but you actually never verified?

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  • What 5 things should SQL Server get rid of?

    - by BuckWoody
    I’ve been “tagged” by my friend Paul Randal. It’s a high-tech way of making someone else do what you want, but since it’s Paul, well, I guess I’m OK with that. He’s asked in his recent blog entry “What five things would you get rid of in SQL Server if you were in charge?” This is, of course, a delicate issue. After all, I work at Microsoft, so anything I say here might be taken as a criticism that would require action – but of course it really doesn’t. Interestingly, you may have more to do with what goes in to SQL Server than I did even as a Program Manager where I “owned” a feature. Unlike many places I’ve worked, Microsoft really does drive its products by what its users want – not every time, and not every user request, mind you, but overall I think we hit the mark pretty well. So, with all of that said, and of course the obligatory statement of “these are my own opinions, and have nothing to do with any official Microsoft position in any way, and do not reflect the opinions of other Microsoft employees or management”, here goes. 1. Get rid of SQL Server Management Studio Does that surprise you? After all, when I was a Program Manager, I actually owned the general architecture for SSMS. But those on my team probably would have been able to guess this one for you. I think that SSMS is a fine development tool. But I think that it does less of a good job for managing a system. It’s based on Visual Studio, probably one of the best development IDE’s around. And when I develop code, I really like it. But for a monitoring/management tool, I prefer a snap-in to the Microsoft Management Console (MMC). I know, the old one (prior to 3.0) was kludgy, difficult to use and program in. But that’s changed. Of course, when I bring this up, you’ll probably immediately say “But I don’t have that in XP.” And that’s one of the reasons we didn’t go there. (But I still don’t like SSMS for management.) 2. ShrinkDB I think this discussion has been done to death, so I’ll leave it at that. 3. SQL Server Agent Does that one surprise you as well? In my mind, since we ALWAYS ride on Windows, just use the task scheduler there, along with PowerShell. You could log the results in Windows logs, files, back into SQL Server, whatever. It’s just a complexity we don’t need in SQL Server. 4. SQL Server Error Logs We have a full logging setup in Windows. They’re well done, easy to understand and ubiquitous. We should just use that. 5. Several SKU’s I won’t say which, but we have a few SKU’s of SQL Server that need to go. And we need to figure out how to help you understand clearly where you need to go to Enterprise or Data Center.  Most folks are trying to push Standard edition to do things it isn’t designed to do, and then they think SQL Server won’t scale. I think we can do a better job of showing you where Standard Edition will hit the wall, and I think with fewer choices it would be pretty simple for you to pick the right one. Well, once again I’ve probably puzzled some folks and angered others. I think my work here is done. :) Back to you, Paul. Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

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  • PASS Summit 2010 Recap

    - by AjarnMark
    Last week I attended my eighth PASS Summit in nine years, and every year it is a fantastic event!  I was fortunate my first year to have a contact (Bill Graziano (blog | Twitter) from SQLTeam) that I was expecting to meet, and who got me started on a good track of making new contacts.  Each year I have made a few more, and renewed friendships from years past.  Many of the attendees agree that the pure networking opportunities are one of the best benefits of attending the Summit.  And there’s a lot of great technical stuff, too, some of the things that stick out for me this year include… Pre-Con Monday: PowerShell with Allen White (blog | Twitter).  This was the first time that I attended a pre-con.  For those not familiar with the concept, the regular sessions for the conference are 75-90 minutes long.  For an extra fee, you can attend a full-day session on a single topic during a pre- or post-conference training day.  I had been meaning for several months to dive in and learn PowerShell, but just never seemed to find (or make) the time for it, so when I saw this was one of the all-day sessions, and I was planning to be there on Monday anyway, I decided to go for it.  And it was well worth it!  I definitely came out of there with a good foundation to build my own PowerShell scripts, plus several sample scripts that he showed which already cover the first four or five things I was planning to do with PowerShell anyway.  This looks like the right tool for me to build an automated version of our software deployment process, which right now contains many repeated steps.  Thanks Allen! Service Broker with Denny Cherry (blog | Twitter).  I remembered reading Denny’s blog post on Using Service Broker instead of Replication, and ever since then I have been thinking about using this to populate a new reporting-focused Data Repository that we will be building in the near future.  When I saw he was doing this session, I thought it would be great to get more information and be able to ask the author questions.  When I brought this idea back to my boss, he really liked it, as we had previously been discussing doing nightly data loads, with an option to manually trigger a mid-day load if up-to-the-minute data was needed for something.  If we go the Service Broker route, we can keep the Repository current in near real-time.  Hooray! DBA Mythbusters with Paul Randal (blog | Twitter).  Even though I read every one of the posts in Paul’s blog series of the same name, I had to go see the legend in person.  It was great, and I still learned something new! How to Conduct Effective Meetings with Joe Webb (blog | Twitter).  I always like to sit in on a session that Joe does.  I met Joe several years ago when both he and Bill Graziano were on the PASS Board of Directors together, and we have kept in touch.  Joe is very well-spoken and has great experience with both SQL Server and business.  And we could certainly use some pointers at my work (probably yours, too) on making our meetings more effective and to run on-time.  Of course, now that I’m the Chapter Leader for the Professional Development virtual chapter, I also had to sit in on this ProfDev session and recruit Joe to do a presentation or two for the chapter next year. Query Optimization with David DeWitt.  Anyone who has seen Dr. David DeWitt present the 3rd keynote at a PASS Summit over the last three years knows what a great time it is to sit and listen to him make some really complicated and advanced topic easy to understand (although it still makes your head hurt).  It still amazes me that the simple two-table join query from pubs that he used in his example can possibly have 22 million possible physical query plans.  Ouch! Exhibit Hall:  This year I spent more serious time in the exhibit hall than any year past.  I have talked my boss into making a significant (for us) investment in monitoring tools next year, and this was a great opportunity to talk with all the big-hitters.  Readers of mine may recall that I fell in love with the SQL Sentry Power Suite several months ago and wrote a blog entry about it just from the trial version.  Well as things turned out, short-term budget priorities shifted, and we weren’t able to make the purchase then.  I have it in the budget for next year, but since I was going to the Summit, my boss wanted me to look at the other options to see if this was really the one that we wanted.  I spent a couple of hours talking with representatives from Red-Gate, Idera, Confio, and Quest about their offerings, and giving them each the same 3 scenarios that I wanted to be able to accomplish based on the questions and issues that arise in our company.  It was interesting to discover the different approaches or “world view” that each vendor takes to the subject of performance monitoring and troubleshooting.  I may write a separate article that goes into this in more depth, but the product that best aligned with our point of view, and met the current needs we have is still the SQL Sentry Power Suite.  I’m not saying that the others are bad or wrong or anything like that, just that the way they tackled the issue did not align as well with our particular needs as does SQL Sentry’s product.  And that was something I learned too, when you go shopping for these products, you really need to know what you want to get from them.  It’s best if you have a few example scenarios from work that you can use to test out how well each tool fits your particular needs. Overall, another GREAT event.  I can’t wait to get the DVDs so I can sit in on a bunch of other sessions that I couldn’t get to because I was in one of the ones above.  And I can hardly wait until next year!

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  • I Hereby Resolve… (T-SQL Tuesday #14)

    - by smisner
    It’s time for another T-SQL Tuesday, hosted this month by Jen McCown (blog|twitter), on the topic of resolutions. Specifically, “what techie resolutions have you been pondering, and why?” I like that word – pondering – because I ponder a lot. And while there are many things that I do already because of my job, there are many more things that I ponder about doing…if only I had the time. Then I ponder about making time, but then it’s back to work! In 2010, I was moderately more successful in making time for things that I ponder about than I had been in years past, and I hope to continue that trend in 2011. If Jen hadn’t settled on this topic, I could keep my ponderings to myself and no one would ever know the outcome, but she’s egged me on (and everyone else that chooses to participate)! So here goes… For me, having resolve to do something means that I wouldn’t be doing that something as part of my ordinary routine. It takes extra effort to make time for it. It’s not something that I do once and check off a list, but something that I need to commit to over a period of time. So with that in mind, I hereby resolve… To Learn Something New… One of the things I love about my job is that I get to do a lot of things outside of my ordinary routine. It’s a veritable smorgasbord of opportunity! So what more could I possibly add to that list of things to do? Well, the more I learn, the more I realize I have so much more to learn. It would be much easier to remain in ignorant bliss, but I was born to learn. Constantly. (And apparently to teach, too– my father will tell you that as a small child, I had the neighborhood kids gathered together to play school – in the summer. I’m sure they loved that – but they did it!) These are some of things that I want to dedicate some time to learning this year: Spatial data. I have a good understanding of how maps in Reporting Services works, and I can cobble together a simple T-SQL spatial query, but I know I’m only scratching the surface here. Rob Farley (blog|twitter) posted interesting examples of combining maps and PivotViewer, and I think there’s so many more creative possibilities. I’ve always felt that pictures (including charts and maps) really help people get their minds wrapped around data better, and because a lot of data has a geographic aspect to it, I believe developing some expertise here will be beneficial to my work. PivotViewer. Not only is PivotViewer combined with maps a useful way to visualize data, but it’s an interesting way to work with data. If you haven’t seen it yet, check out this interactive demonstration using Netflx OData feed. According to Rob Farley, learning how to work with PivotViewer isn’t trivial. Just the type of challenge I like! Security. You’ve heard of the accidental DBA? Well, I am the accidental security person – is there a word for that role? My eyes used to glaze over when having to study about security, or  when reading anything about it. Then I had a problem long ago that no one could figure out – not even the vendor’s tech support – until I rolled up my sleeves and painstakingly worked through the myriad of potential problems to resolve a very thorny security issue. I learned a lot in the process, and have been able to share what I’ve learned with a lot of people. But I’m not convinced their eyes weren’t glazing over, too. I don’t take it personally – it’s just a very dry topic! So in addition to deepening my understanding about security, I want to find a way to make the subject as it relates to SQL Server and business intelligence more accessible and less boring. Well, there’s actually a lot more that I could put on this list, and a lot more things I have plans to do this coming year, but I run the risk of overcommitting myself. And then I wouldn’t have time… To Have Fun! My name is Stacia and I’m a workaholic. When I love what I do, it’s difficult to separate out the work time from the fun time. But there are some things that I’ve been meaning to do that aren’t related to business intelligence for which I really need to develop some resolve. And they are techie resolutions, too, in a roundabout sort of way! Photography. When my husband and I went on an extended camping trip in 2009 to Yellowstone and the Grand Tetons, I had a nice little digital camera that took decent pictures. But then I saw the gorgeous cameras that other tourists were toting around and decided I needed one too. So I bought a Nikon D90 and have started to learn to use it, but I’m definitely still in the beginning stages. I traveled so much in 2010 and worked on two book projects that I didn’t have a lot of free time to devote to it. I was very inspired by Kimberly Tripp’s (blog|twitter) and Paul Randal’s (blog|twitter) photo-adventure in Alaska, though, and plan to spend some dedicated time with my camera this year. (And hopefully before I move to Alaska – nothing set in stone yet, but we hope to move to a remote location – with Internet access – later this year!) Astronomy. I have this cool telescope, but it suffers the same fate as my camera. I have been gone too much and busy with other things that I haven’t had time to work with it. I’ll figure out how it works, and then so much time passes by that I forget how to use it. I have this crazy idea that I can actually put the camera and the telescope together for astrophotography, but I think I need to start simple by learning how to use each component individually. As long as I’m living in Las Vegas, I know I’ll have clear skies for nighttime viewing, but when we move to Alaska, we’ll be living in a rain forest. I have no idea what my opportunities will be like there – except I know that when the sky is clear, it will be far more amazing than anything I can see in Vegas – even out in the desert - because I’ll be so far away from city light pollution. I’ve been contemplating putting together a blog on these topics as I learn. As many of my fellow bloggers in the SQL Server community know, sometimes the best way to learn something is to sit down and write about it. I’m just stumped by coming up with a clever name for the new blog, which I was thinking about inaugurating with my move to Alaska. Except that I don’t know when that will be exactly, so we’ll just have to wait and see which comes first!

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  • TechEd 2010 Day One – How I Travel

    - by BuckWoody
    Normally when I blog on the first day of a conference, well, there hasn’t been a first day yet. So I talk about the value of a conference or some other facet. And normally in my (non-conference) blogs, I show you how I have learned to be a data professional – things I’ve learned how to do over the years. But in all that time, I don’t think I’ve ever talked about a big part of my job – traveling. I’ve traveled a lot throughout the years, when I’ve taught, gone to conferences, consulted and in my current role assisting Microsoft customers with large-scale database system designs.  So I’ll share a few thoughts about what I do. Keep in mind that I travel for short durations, just a day or so, and sometimes I travel internationally. For those I prepare differently – what I’m talking about here is what I do for a multi-day, same-country trip. Hopefully you find it useful. I’ll tag a few other travelers I know to add their thoughts.  Preparing for Travel   When I’m notified of a trip, I begin researching the location. I find the flights, hotel and (if I have to) a car to use while I’m away. We have an in-house system we use to book the travel, but when I travel not-for-Microsoft I use Expedia and Kayak to find what I need.  Traveling on Sunday and Friday is the worst. I have to do it sometimes (like this week) and it’s always a bad idea. But you can blunt the impact by booking as early as you can stand it. That means I have to be up super-early, but the flights are normally on time. I stay flexible, and always have a backup plan in case the flights are delayed or canceled.  For the hotel, I tend to go on the cheaper side, and I look for older hotels that have been renovated, or quirky ones. For instance, in Boise, ID recently I stayed at a 60’s-themed (think Mad-Men) hotel that was very cool. Always I go on the less expensive side – I find the “luxury” hotels nail me for Internet, food, everything. The cheaper places include all kinds of things, and even have breakfasts, shuttles and all kinds of things that start to add up. I even call ahead to make sure there’s an iron and ironing board available, since I’ll need those when I get there.  I find any way I can not to get a car. I use mass-transit wherever possible, and try to make friends and pay their gas to take me places. In a pinch, I’ll use a taxi. It ends up being cheaper, faster, and less stressful all around.  Packing  Over the years I’ve learned never to check luggage whenever I can. To do that, I lay out everything I want to take with me on the bed, and then try and make sure I’m really going to use it. I wear a dark wool set of pants, which I can clean and wear in hot and cold climates. I bring undies and socks of course, and for most places I have to wear “dress up” shirts. I bring at least two print T-Shirts in case I want to dress down for something while I’m gone, but I only bring one set of shoes. All the  clothes are rolled as tightly as possible as I learned in the military. Then I use those to cushion the electronics I take.  For toiletries I bring a shaver, toothpaste and toothbrush, D/O and a small brush. Everything else the hotel will provide.  For entertainment, I take a small Zune, a full PC-Headset (so I can make IP calls on the road) and my laptop. I don’t take books or anything else – everything is electronic. I use E-books (downloaded from our Library), Audio-Books (on the Zune) and I also bring along a Kaossilator (more here) to play music in the hotel room or even on the plane without being heard.  If I can, I pack into one roll-on bag. There’s not a lot better than this one, but I also have a Bag I was given as a prize for something or other here at Microsoft. Either way, I like something with less pockets and more big, open compartments. Everything gets rolled up and packed in, with all of the wires and charges in small bags my wife made for me. The laptop (and anything I don’t want gate-checked) goes on top or in an outside pouch so I can grab it quickly if I have to gate-check the bag. As much as I can, I try to go in one bag. When I can’t (like this week) I use this bag since it can expand, roll up, crush and even be put away later. It’s super-heavy canvas and worth the price. This allows me to not check a bag.  Journey Logistics The day of the trip, I have everything ready since I’m getting up early. I pack a few small snacks inside a plastic large-mouth water bottle, which protects the snacks and lets me get water in the terminal. I bring along those little powdered drink mixes to add to the water.  At the airport, I make a beeline for the power-outlets. I charge up my laptop and phone, and download all my e-mails so I can work on them off-line in the air. I don’t travel as often as I used to – just every month or so now, so I don’t have a membership to an airline club. If I travel much more, I’ll invest in one again – they are WELL worth the money, for the wifi, food and quiet if for nothing else.  I print out my logistics on paper and put that in my pocket – flight numbers, hotel addresses and phones for everything. That way if I have to make a change, I don’t have to boot up anything or even have power to be able to roll with the punches if things change.  Working While Away  While I’m away I realize I’m going to be swamped with things at the conference or with my clients. So I turn on Out-Of-Office notifications to let people know I won’t be as responsive, and I keep my Outlook calendar up to date so my co-workers know what I’m up to. I even update it with hotel and phone info in case they really need to reach me. I share my calendar with my wife so my family knows what I’m doing as well.  I check my e-mail during breaks, but I only respond to them in the evening or early morning at the hotel. I tweet during conferences. The point is to be as present as possible during the event or when I’m at the clients. Both deserve it.  So those are my initial thoughts. I’ll tag Brent Ozar, Brad McGeHee and Paul Randal, and they can tag whomever they wish. Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

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  • SQL Server Master class winner

    - by Testas
     The winner of the SQL Server MasterClass competition courtesy of the UK SQL Server User Group and SQL Server Magazine!    Steve Hindmarsh     There is still time to register for the seminar yourself at:  www.regonline.co.uk/kimtrippsql     More information about the seminar     Where: Radisson Edwardian Heathrow Hotel, London  When: Thursday 17th June 2010  This one-day MasterClass will focus on many of the top issues companies face when implementing and maintaining a SQL Server-based solution. In the case where a company has no dedicated DBA, IT managers sometimes struggle to keep the data tier performing well and the data available. This can be especially troublesome when the development team is unfamiliar with the affect application design choices have on database performance. The Microsoft SQL Server MasterClass 2010 is presented by Paul S. Randal and Kimberly L. Tripp, two of the most experienced and respected people in the SQL Server world. Together they have over 30 years combined experience working with SQL Server in the field, and on the SQL Server product team itself. This is a unique opportunity to hear them present at a UK event which will: Debunk many of the ingrained misconceptions around SQL Server's behaviour    Show you disaster recovery techniques critical to preserving your company's life-blood - the data    Explain how a common application design pattern can wreak havoc in the database Walk through the top-10 points to follow around operations and maintenance for a well-performing and available data tier! Please Note: Agenda may be subject to change  Sessions Abstracts  KEYNOTE: Bridging the Gap Between Development and Production    Applications are commonly developed with little regard for how design choices will affect performance in production. This is often because developers don't realize the implications of their design on how SQL Server will be able to handle a high workload (e.g. blocking, fragmentation) and/or because there's no full-time trained DBA that can recognize production problems and help educate developers. The keynote sets the stage for the rest of the day. Discussing some of the issues that can arise, explaining how some can be avoided and highlighting some of the features in SQL 2008 that can help developers and DBAs make better use of SQL Server, and troubleshoot when things go wrong.   SESSION ONE: SQL Server Mythbusters  It's amazing how many myths and misconceptions have sprung up and persisted over the years about SQL Server - after many years helping people out on forums, newsgroups, and customer engagements, Paul and Kimberly have heard it all. Are there really non-logged operations? Can interrupting shrinks or rebuilds cause corruption? Can you override the server's MAXDOP setting? Will the server always do a table-scan to get a row count? Many myths lead to poor design choices and inappropriate maintenance practices so these are just a few of many, many myths that Paul and Kimberly will debunk in this fast-paced session on how SQL Server operates and should be managed and maintained.   SESSION TWO: Database Recovery Techniques Demo-Fest  Even if a company has a disaster recovery strategy in place, they need to practice to make sure that the plan will work when a disaster does strike. In this fast-paced demo session Paul and Kimberly will repeatedly do nasty things to databases and then show how they are recovered - demonstrating many techniques that can be used in production for disaster recovery. Not for the faint-hearted!   SESSION THREE: GUIDs: Use, Abuse, and How To Move Forward   Since the addition of the GUID (Microsoft’s implementation of the UUID), my life as a consultant and "tuner" has been busy. I’ve seen databases designed with GUID keys run fairly well with small workloads but completely fall over and fail because they just cannot scale. And, I know why GUIDs are chosen - it simplifies the handling of parent/child rows in your batches so you can reduce round-trips or avoid dealing with identity values. And, yes, sometimes it's even for distributed databases and/or security that GUIDs are chosen. I'm not entirely against ever using a GUID but overusing and abusing GUIDs just has to be stopped! Please, please, please let me give you better solutions and explanations on how to deal with your parent/child rows, round-trips and clustering keys!   SESSION 4: Essential Database Maintenance  In this session, Paul and Kimberly will run you through their top-ten database maintenance recommendations, with a lot of tips and tricks along the way. These are distilled from almost 30 years combined experience working with SQL Server customers and are geared towards making your databases more performant, more available, and more easily managed (to save you time!). Everything in this session will be practical and applicable to a wide variety of databases. Topics covered include: backups, shrinks, fragmentation, statistics, and much more! Focus will be on 2005 but we'll explain some of the key differences for 2000 and 2008 as well. Speaker Biographies     Kimberley L. Tripp Paul and Kimberly are a husband-and-wife team who own and run SQLskills.com, a world-renowned SQL Server consulting and training company. They are both SQL Server MVPs and Microsoft Regional Directors, with over 30 years of combined experience on SQL Server. Paul worked on the SQL Server team for nine years in development and management roles, writing many of the DBCC commands, and ultimately with responsibility for core Storage Engine for SQL Server 2008. Paul writes extensively on his blog (SQLskills.com/blogs/Paul) and for TechNet Magazine, for which he is also a Contributing Editor. Kimberly worked on the SQL Server team in the early 1990s as a tester and writer before leaving to found SQLskills and embrace her passion for teaching and consulting. Kimberly has been a staple at worldwide conferences since she first presented at TechEd in 1996, and she blogs at SQLskills.com/blogs/Kimberly. They have written Microsoft whitepapers and books for SQL Server 2000, 2005 and 2008, and are regular, top-rated presenters worldwide on database maintenance, high availability, disaster recovery, performance tuning, and SQL Server internals. Together they teach the SQL MCM certification and throughout Microsoft.In their spare time, they like to find frogfish in remote corners of the world.   Speaker Testimonials  "To call them good trainers is an epic understatement. They know how to deliver technical material in ways that illustrate it well. I had to stop Paul at one point and ask him how long it took to build a particular slide because the animations were so good at conveying a hard-to-describe process." "These are not beginner presenters, and they put an extreme amount of preparation and attention to detail into everything that they do. Completely, utterly professional." "When it comes to the instructors themselves, Kimberly and Paul simply have no equal. Not only are they both ultimate authorities, but they have endless enthusiasm about the material, and spot on delivery. If either ever got tired they never showed it, even after going all day and all week. We witnessed countless demos over the course of the week, some extremely involved, multi-step processes, and I can’t recall one that didn’t go the way it was supposed to." "You might think that with this extreme level of skill comes extreme levels of egotism and lack of patience. Nothing could be further from the truth. ... They simply know how to teach, and are approachable, humble, and patient." "The experience Paul and Kimberly have had with real live customers yields a lot more information and things to watch out for than you'd ever get from documentation alone." “Kimberly, I just wanted to send you an email to let you know how awesome you are! I have applied some of your indexing strategies to our website’s homegrown CMS and we are experiencing a significant performance increase. WOW....amazing tips delivered in an exciting way!  Thanks again” 

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