The majority of traditional database management systems are responsible for making sure that any changes to their data are consistently reflected in the results of subsequent queries. Azure Cosmos DB extends the range of consistency options by providing support for bounded-staleness, session, and consistent prefix models.
Interleaved Execution allows SQL Server's query optimizer to get accurate cardinality estimates in places where it couldn't before.
The new feature, Mobile Reports, was added to SSRS in 2016. It provides the ability to create attractive and useful dashboards that can run on devices and most browsers. Robert Cain shows you how to get started building Mobile Reports with the Mobile Report Publisher.
Erik shows that heaps have even more drawbacks under optimistic concurrency.
You have the opportunity to influence the makeup of the conference agenda for the PASS Summit
I created this article to demonstrate the use of derived columns inside a ForEachLoop Container for a client requirement for some auxiliary marketing reports. I found the Data Conversion tool useful to escape the problem of mismatched data types, which is an issue with versions of Microsoft SSIS.
Blocking in SQL Server is normal behavior, but excessive blocking can lead to many complaints and is a symptom of poor performance. SQL Server contains a vast amount of information that can help when troubleshooting performance issues like blocking, but understanding and gathering that information when you need it is a lot of work. Darko Martinovic explains his solution for a custom blocking report.
The advantage of Setting the readable secondary as Read-Intent Only will allow the secondary server to serve the read-only workload only if the connection string of the application contains Application Intent=Readonly parameter.
Big Data hasn't been in the news, perhaps because more organizations are realizing they need the right data.
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Comments posted to this topic are about the item Fun with JSON II
Comments posted to this topic are about the item Changing Data Types
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