Tag: SQLNewBlogger

  • Restoring a Copy Only Backup–#SQLNewBlogger

    Another post for me that is simple and hopefully serves as an example for people trying to get blogging as #SQLNewBloggers.

    There was a question posted recently at SQLServerCentral about whether a copy only backup could be restore with a transaction log backup from a database. I was positive this could, but decided I needed to repro and test for someone as there wasn’t a good BOL reference.

    The Tests

    Here’s what I did. First, I created a table in a database. I often do this and drop in messages to allow me to track the progress of backups and restores. This post follows my progress.

    The Backups

    Here’s my basic script:

    CREATE TABLE logger(msg VARCHAR(200), msgdate DATETIME DEFAULT GETDATE())
    
    INSERT logger (msg) SELECT 'pre full backup'

    Next, I made a backup and added a message.

    INSERT logger (msg) SELECT 'pre-log backup 1'
    BACKUP LOG nba TO disk = 'nba_1.trn'
    INSERT logger (msg) SELECT 'log backup 1 complete'

    Once this is done, I’m in a state that I expect. A normal full backup, a normal log backup, and some data to help me track where I am.

    Now let’s make a copy only backup.

    INSERT logger (msg) SELECT 'pre copy-only backup '
    BACKUP DATABASE nba TO DISK  = 'nba_copy.bak' WITH COPY_ONLY
    INSERT logger (msg) SELECT 'copy-only backup complete'

    This now means I have an open log sequence in the first log backup (post full backup) and a few log records since then. Some of these are inside the copy only backup.

    Now let’s add more data and make a new, regular, log backup.

    INSERT logger (msg) SELECT 'pre-log backup 2'
    BACKUP LOG nba TO disk = 'nba_2.trn'
    INSERT logger (msg) SELECT 'log backup 2 complete'

    It’s at this point that I have this sequence:

    • Full backup
    • Log backup
    • Copy-Only Full backup
    • Log backup

    The Restore

    What I want to test is can I restore the Copy-Only backup and a log backup? I think I can, so let’s do that. First, restore from the copy-only backup, using the MOVE option.

    USE [master]
    RESTORE DATABASE [NBA2] 
    FROM  DISK = N'D:\SQLServerBackup\MSSQL13.SQL2016\MSSQL\Backup\nba_copy.bak' 
    WITH  FILE = 1,  
          MOVE N'NBA' TO N'E:\SQLServer\MSSQL13.SQL2016\MSSQL\Data\NBA2.mdf',  
          MOVE N'NBA_log' TO N'E:\SQLServer\MSSQL13.SQL2016\MSSQL\Data\NBA2_log.ldf',  
          MOVE N'nba_mo_file1' TO N'E:\SQLServer\MSSQL13.SQL2016\MSSQL\Data\NBA2_mo',  
          MOVE N'nba_mo_file2' TO N'E:\SQLServer\MSSQL13.SQL2016\MSSQL\Data\NBA2_mo2'
    ,  NOUNLOAD,  STATS = 5
    , NORECOVERY

    Tip: Always use NORECOVERY

    Now let’s try to restore the log.

    RESTORE LOG NBA2 FROM DISK = 'nba_2.trn' WITH NORECOVERY
    
    RESTORE DATABASE nba2 WITH RECOVERY

    This works:

    2017-12-06 17_57_56-SQLQuery2.sql - (local)_SQL2016.master (PLATO_Steve (63))_ - Microsoft SQL Serve

    That should prove things. Let’s check the logger table.

    2017-12-06 18_00_45-SQLQuery2.sql - (local)_SQL2016.NBA2 (PLATO_Steve (63))_ - Microsoft SQL Server

    That’s what we expect. The final message after log backup2 wasn’t captured in our backup files.

    Copy Only Backups

    What is a copy only backup? If we check the Copy-Only Backups page, we find that this is a regular backup in and of-itself, but it has the restriction that it cannot be used with differential backups. This also doesn’t change the differential bitmap, so that any differentials that are made ignore this backup and go back to include data changed since the last “normal” full backup.

    SQLNewBlogger

    Understanding backup and recovery is critical for a data professional. I’d say this is the most important skill, and it’s always worth writing about. Spend a few minutes reviewing scenarios and creating some posts like this to show you understand how the system works.

  • Renaming a Column–#SQLNewBlogger

    Another post for me that is simple and hopefully serves as an example for people trying to get blogging as #SQLNewBloggers.

    One of the things I rarely do is rename objects. There are good reasons to do so, but often the changes required in other objects and applications isn’t worth the hassle. This is one reason why it would be good to spend a few minutes in design and come up with good names from the beginning.

    In any case, do you know how to do this? You could use SSMS and easily change the design of the table. Of course, SSMS might try to rebuild the table, which might not be what you want. Hopefully that’s not the case, though you should always get the script instead of just saving the change.

    The code you’d like to see is a simple meta data change that uses sp_rename. In my case, I want to change Qty to Quantity. I’d use this code:

    EXEC sp_rename @objname = ‘Sales.OrderLines.Qty’ ,
    @newname = ‘Quantity’ ,
    @objtype = ‘column’;

    I wish we had a direct ALTER TABLE statement that worked here, or better yet, an ALTER TABLE that allowed the entire table code to be shown (that’s not coming), but I’m not holding onto any hope that Microsoft will change this.

    If you’re a person that thinks you might need a temp table that you insert data into and then two renames of the tables, that’s not the best way. Simple meta data changes are always preferred.

    SQLNewBlogger

    I ran into this while helping someone test a change and thought this was a good, easy reminder of how to change names. You could show you understand this in a blog in five minutes.

  • Changing the Default DB for a Login–#SQLNewBlogger

    Another post for me that is simple and hopefully serves as an example for people trying to get blogging as #SQLNewBloggers.

    Recently I got into a bit of a pickle. I was detaching some databases for a demo, which is something I do periodically to make it easier for someone to see what’s doing on. The database detached fine, and I ran my demo.

    Then, as a sysadmin, I right clicked to attach a database back.

    2017-10-23 15_59_17-SQLQuery6.sql - (local)_SQL2014.SimpleTalk_1_Development (PLATO_Steve (57))_ - M

    and all of a sudden I get this error:

    2017-10-23 15_59_08-Microsoft SQL Server Management Studio

    Interesting. I could have attached the database back from the command line, or with dbatools, but I thought this was interesting. As I go to the attach dialog, a new connection is made. However, in this case, the default database for my sysadmin account was the one I’d detached.

    Fortunately, this is easy to fix. First, I opened a query window with master as the specific database:

    2017-10-23 16_01_20-Connect to Database Engine

    Then, I have a couple options to reset my default database. For old SQL Servers, many of you might have used sp_defaultdb. That’s marked as a deprecated procedure, so ALTER LOGIN is the new way. The syntax uses the WITH to include various options. In my case, I needed the DEFAULT_DATABASE item. This was my code:

    ALTER LOGIN [PLATO\Steve] WITH DEFAULT_DATABASE = MASTER

    If you are on an older version, something like this will work:

    exec sp_defaultdb @login = ‘Steve’, @defaultdb = ‘master’

    Once that was done, the GUI dialog worked. A quick and easy fix in this case.

    SQLNewBlogger

    As soon as I found the error, I knew what was happening. Resetting the default database took less than a minute, but I decided to spend 10  grabbing a few screenshots and putting this post together.

    You could do the same thing. Show that you can recover from errors.

  • ROLLing UP Totals–#SQLNewBlogger

    Another post for me that is simple and hopefully serves as an example for people trying to get blogging as #SQLNewBloggers.

    I was editing an article recently that talked about ROLLUP, and I wanted to play with this a bit more. I hadn’t used this much in my career, but it’s a handy operator that’s worth including in your toolkit.

    ROLLUP is used to provide additional totals for your aggregates while using GROUP BY. Here’s a little example. I’ve got some data for American Football quaterbacks. In this case, I’ve extracted some stats for a few noteworthy players today. Here’s a sample:

    2017-10-16 13_05_05-SQLQuery1.sql - (local)_SQL2016.NFLAnalysis (PLATO_Steve (74))_ - Microsoft SQL

    I want to aggregate some data together. For example, let’s say that we want to look at the total touchdowns scored per year by these players in their first 5 years. That’s a simple query:

    SELECT
       Season = qs.CareerYear
       , TDs = SUM(qs.Touchdowns)
      FROM dbo.QBStats AS qs
      WHERE qs.CareerYear <= 5
    GROUP BY qs.CareerYear

    This gives me data like this:

    2017-10-16 13_06_28-SQLQuery1.sql - (local)_SQL2016.NFLAnalysis (PLATO_Steve (74))_ - Microsoft SQL

    However, when I look at this, I don’t have a total across all years. In my set, there are players that have played up to 18 seasons, and I want to know the aggregate number of TDs. I can get that by adding WITH ROLLUP. This is added

    2017-10-16 13_07_25-SQLQuery1.sql - (local)_SQL2016.NFLAnalysis (PLATO_Steve (74))_ - Microsoft SQL

    after the group by. However, I can also change this to GROUP BY ROLLUP and include the columns in parenthesis.

    SELECT
       Season = qs.CareerYear
       , TDs = SUM(qs.Touchdowns)
      FROM dbo.QBStats AS qs
      WHERE qs.CareerYear <= 5
      GROUP BY ROLLUP (qs.CareerYear)

    This is OK, but the NULL isn’t great. What can I do here? I can add an ISNULL or COALESCE to my query and get this:

    2017-10-16 13_10_04-SQLQuery1.sql - (local)_SQL2016.NFLAnalysis (PLATO_Steve (74))_ - Microsoft SQL

    Useful, but what about if I’m aggregating by individual players? I can add the player to the column list, but I also need to add the player to the ROLLUP (or GROUP BY) list as well. If I do that, I get this:

    2017-10-16 13_11_40-SQLQuery1.sql - (local)_SQL2016.NFLAnalysis (PLATO_Steve (74))_ - Microsoft SQL

    That’s quite a bit more data, and I now see NULL values in the Player name. What’s this?

    These are the totals for that subgroup. In this case, the first NULL above, next to the 1, is the total for all players for season 1. I can use another trick to clean this up:

    2017-10-16 13_14_33-SQLQuery1.sql - (local)_SQL2016.NFLAnalysis (PLATO_Steve (74))_ - Microsoft SQL

    This now shows some data in an easier to understand fashion, with some totals. We can see for season 1 that 3 players really started their careers in a strong fashion and 3 didn’t.

    At the end, however, we get a different result.

    2017-10-16 13_17_09-SQLQuery1.sql - (local)_SQL2016.NFLAnalysis (PLATO_Steve (74))_ - Microsoft SQL

    This is because we have handled the player name as a NULL for the second column, but not the season as a NULL. For this last row, out “Total” text comes from an ISNULL of the first column. Here we’d want to do this:

    2017-10-16 13_18_30-SQLQuery1.sql - (local)_SQL2016.NFLAnalysis (PLATO_Steve (74))_ - Microsoft SQL

    This is where COALESCE  comes in handy, allowing us to account for multiple NULL values.

    ROLLUP is a nice way to get totals for each of your GROUP BY columns. This can make some of your reporting easier, and perhaps even faster by having the totals calculated in the result set.

    SQLNewBlogger

    This was a fairly easy piece to write. It took longer to get data together and find a set that had two grouping elements and was interesting than write the queries. I also had to play with ROLLUP a bit to clean up the NULLs, which always made this seem like a useless operator.

    I think I’d look to use this more if I had the chance for many reports, as summing totals in some client tools is a pain.