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| | | Backup Plans for Data Loss The British Airways computer failure has been on my mind for a few weeks. It seems like such an epic failure in 2017 from a high public company that many, many people depend on. I still struggle to believe the power explanation, and really, I'm not sure there's any explanation that I would accept. At this point in our industry, there's no good reason for any large, global company to not be able to restart services inside of a couple hours in a DR site. In fact, it really shouldn't even take that long. However, for many of us, we will have a failure or disaster at some point. It might not even be a hardware failure or system crash. It's much more likely that a user will cause an issue. As our systems grow larger, perhaps even more loaded with transactions, we might not always be able to easily separate out good data from bad, and I would expect we'll experience a restore. For many of us this will mean we will lose some data from the system. Even with frequent log backups, we might end up with a short period where we can't recover data. Most of us should have conversations with business stakeholders on what the acceptable level of data loss is, and plan to meet those requirements. We should also have plans around how to rebuild data. I wouldn't recommend a full test on a system, but it might be worth a few conversations with those that deal with transactional data and discuss how the latest data might be recreated. No one wants to lose data, and in many cases, there are ways to rebuild or recover the data with manual efforts. Perhaps your company has paper records, or maybe there's an audit trail that could be used to reconstruct actions. Maybe you rely on memory or even customers to provide information again. Today I'm wondering if you've thought about how you might recover data in a non-technical way and what methods you'd use. Steve Jones from SQLServerCentral.comJoin the debate, and respond to today's editorial on the forums |
| The Voice of the DBA Podcast Listen to the MP3 Audio ( 3.6MB) podcast or subscribe to the feed at iTunes and Libsyn.  The Voice of the DBA podcast features music by Everyday Jones. No relation, but I stumbled on to them and really like the music. |
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| | |  | Alan Jefferson from SQLServerCentral.com Take the mystery out of sysschedules and interpret the data into a plain text format. More » |
 | Additional Articles from SimpleTalk Although linear regressions can get complicated, most jobs involving the plotting of a trendline are easy. Simple Linear Regression is handy for the SQL Programmer in making a prediction of a linear trend and giving a figure for the level probability for the prediction, and what is more, they are easy to do with the aggregation that is built into SQL. More » |
 | Additional Articles from MSSQLTips.com Dattatrey Sindol explains the different ways in which you can get the row counts from all the tables in a SQL Server database. More » |
 | James Anderson - The Database Avenger from SQLServerCentral Blogs T-SQL Tuesday is a monthly event where SQL Server bloggers write a post based on a subject chosen by the... More » |
| | Andrew Pruski from SQLServerCentral Blogs A question that regularly comes up when I talk about containers is, “can you specify where the containers/images live on... More » |
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| | | Today's Question (by Steve Jones): With ALTER SERVER CONFIGURATION in SQL Server 2016, what options can be set for the diagnostic log? (Choose 5) |
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| Yesterday's Question of the Day |
| Yesterday's Question (by Carlo Romagnano): Select 2 correct answers about the result set of the OUTPUT clause CREATE TABLE a(cod VARCHAR(10),description VARCHAR(100)) CREATE TABLE b(cod VARCHAR(10),processed bit) GO INSERT INTO a SELECT * FROM (VALUES ('A','AAAA 1') ,('A','AAAA 2') ,('A','AAAA 3') ,('A','AAAA 4') ,('B','BBBB 1') ,('B','BBBB 2') ,('B','BBBB 3') ,('B','BBBB 4') ,('C','CCCC 1') ,('C','CCCC 2') ,('C','CCCC 3') ,('C','CCCC 4') ) AS V([cod],[description]) GO INSERT INTO b SELECT *,0 FROM (VALUES ('A') ,('B') ,('C') ,('D') ,('E') ) AS V([art]) GO UPDATE b SET processed = 1 OUTPUT deleted.*,a.* FROM b FULL JOIN a ON a.cod = b.cod WHERE b.processed = 0 (How many rows returned and which values for the description column or any syntax error).
Answer: - 5 rows -- all rows from b because of FULL JOIN
- description is any value matching with cod or NULL
Explanation: 5 rows returned because of FULL JOIN is the right answer. The OUTPUT clause returns in the INSERTED and DELETED tables only the rows touched. Any joined table (with 1-n) always returns one row and you can't predict which one. Ref: click here
So, if you run the UPDATE and the SELECT below with the same JOIN syntax, you'll see that the number of rows differs: 5 for the UPDATE and 14 for the SELECT. -- OUTPUT returns 5 rows UPDATE b SET processed = 1 OUTPUT deleted.*,a.* FROM b FULL JOIN a ON a.cod = b.cod WHERE b.processed = 0 -- SELECT with the same JOIN returns 14 rows SELECT * FROM b FULL JOIN a ON a.cod = b.cod WHERE b.processed = 1
» Discuss this question and answer on the forums |
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