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The Voice of the DBA

How to understand NoSQL Databases

Today we have a guest editorial from Phil Factor as Steve is on vacation.

I’m a fan of Ayende Rahien’s series of blog posts entitled ‘World’s Smallest No SQL Database’, a ‘fully functional, scale out capable, sharding enabled No SQL Key/Value store in less than 60 lines of code’  (he had to fit both client and server code into a single PPT slide)

He describes the development of this project as  ‘literally just me throwing stuff off the top of my head’ to provide ‘very much a poor man’s solution’. It is hard to read it without smiling.  Ayende (a pen-name of Oren Eini) knows a great deal about databases, being the power behind NHibernate and the creator of RavenDB. Besides this, he is a master of satire, and a great communicator.

There is no better way of illustrating the fundamental processes of a database by sketching them out in code. Ayende walks the reader through initial amazement and mirth through some interesting illustrations of the challenges involved in building real world  databases.  How do you make your database atomic, consistent and  isolated? Ayende walks you through the processes. What is involved in dealing with concurrency? Click, click click, it is all done. Soon one gets the feeling that anyone can knock together a NoSQL database, and my goodness, you wouldn’t be the first to get that idea.

It is great fun, rather like building a working car out of lego bricks, and it is a powerful tuition aid.  It reminds me of the ‘Small C’ compiler written by Ron Cain and James Hendrix (not the guitarist, sadly) and published by Dr Dobbs  in 1980. It was a perfect way of learning how compilers worked, and a C in particular. It was an inspiration to a generation of programmers.

Phil Factor from SQLServerCentral.com

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Using Lookup Function to Bridge Datasets in Report Builder

Jeffrey Li from SQLServerCentral.com

The report function, lookup, can be used to link two independent datesets. More »


 

VMware High Availability in SQL Server

Additional Articles from SQL Server Professional

With the massive number of servers running SQL Server within virtual machines (VMs), it's critically important for DBAs to understand the high availability options available when SQL Server is running within a VM. More »

Question of the Day

Today's Question (by pramod singla):

DECLARE @x AS XML;
SET @x=N'
<root>
 <a>1<c>3</c><d>4</d></a>
 <b>2</b>
</root>';
SELECT  
 @x.query('Data(*)') AS Complete_Data,
 @x.query('Data(root/a/c)') AS Element_c_Data;

What wll be the output of the above query?

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This question is worth 1 point in this category: XQUERY.

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Featured Script

Convert Row to Column without using any other column for Pivot

ashish verma from SQLServerCentral.com

Consider below query:

SELECT TEXT FROM COMMENT_TEXT

It gives the below output:

TEXT
---------------------------------------------------------------------------------------------
FOR DELIVERY ISSUES CONTACT ........
AX ENT.
Person: Ashish

So result is a table having 3 rows data in a single column named TEXT.

Now aim is to convert this into 3 column data having column names TEXT1, TEXT2, TEXT3. TEXT2 and TEXT3, may or may not be present. TEXT1 will always have some data. Output should be:

TEXT1                           TEXT2                              TEXT3
-----------------------------------------------------------------------------------------
FOR DELIVERY            AX ENT.                  Person: Ashish   
ISSUES CONTACT
........                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     
The below query can solve this:
SELECT  
TEXT1, isnull(TEXT2,'') as TEXT2,isnull(TEXT3,'') as TEXT3
FROM
(SELECT 'TEXT' + convert(nvarchar(1),ROW_NUMBER() over (ORDER BY TEXT)) as ID, TEXT 
    FROM COMMENT_TEXT) AS SourceTable
PIVOT
(max(TEXT)
FOR ID IN (TEXT1, TEXT2,TEXT3)
) AS PivotTable;

More »

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