The methodology helps identify the areas of slow performance by looking at the problem from two directions called Waits and Queues. An analysis of Waits indicates where SQL Server is spending lots of time waiting. In addition, the biggest waits point out the most important or relevant Queues (that is, Performance Monitor counters and other data) for this workload.
Data space can be a concern in many situations as more and more data is being stored in your systems. Designing your schema to take this into account is important for a DBA and Steve Jones takes a look at how design decisions can be used to solve a business problem.
Keeping track of the performance of your SQL Servers requires metrics. There are many methods for doing this, but some type of automated process is essential these days with DBAs managing many servers. New author Allen White brings us a technique for doing this using SMO, the replacement for DMO in SQL Server 2005.
XML really makes it easy to move data from here to there and from there to here. However, eventually the data needs to be stored somewhere, most likely in a relational database. Here is how Edmond Woychowsky gets data from an XML document into a relational database.
New author Jambu Krishnamurthy brings us a look at table variables and how they differ from temporary tables in SQL Server 2000.
In this lesson, we will expose another useful function in the MDX toolset, the .Ordinal function. The general purpose of the .Ordinal function is to return the ordinal value of a specified dimensional level.
Setting up replication can be fairly easy, but deviating from the follow-the-wizard approach can be tricky. New author Claudia Rego brings us a primer on setting up transactional replication without requiring an initial snapshot.
Steve Jones talks about the ne value of the new certification program from Microsoft.
Part III of the article series illustrates how to partition an existing table with data into four different file groups.
Web synchronization in SQL 2005 enables highly secure synchronization of your merge subscriptions. This feature has been in high demand for many years, and Microsoft has finally delivered. This feature is difficult to deploy, however, so Hilary Cotter provides a tutorial on how to set up this complex feature.
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Comments posted to this topic are about the item Fun with JSON II
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Comments posted to this topic are about the item Answering Questions On Dropped Columns
I have some data in a table:
CREATE TABLE #test_data
(
id INT PRIMARY KEY,
name VARCHAR(100),
birth_date DATE
);
-- Step 2: Insert rows
INSERT INTO #test_data
VALUES
(1, 'Olivia', '2025-01-05'),
(2, 'Emma', '2025-03-02'),
(3, 'Liam', '2025-11-15'),
(4, 'Noah', '2025-12-22');
If I run this query, how many rows are returned?
SELECT t1.[key] AS row,
t2.*
FROM OPENJSON(
(
SELECT t.* FROM #test_data AS t FOR JSON PATH
)
) t1
CROSS APPLY OPENJSON(t1.value) t2; See possible answers