During weekend maintenance, members of the support team executed an UPDATE statement against the database on the OLTP Server. This database was a part of Transactional Replication, and once the UPDATE statement was executed the Replication procedure came to a halt with an error message. Satnam Singh decided to work on this case and try to find an efficient solution to rebuild the procedure without significant downtime.
Are we thinking cloud first for database servers? Steve Jones reflects on predictions made four years ago and thinks about how the world has changed for the cloud.
A common issue I've run into while helping with SQL Server Failover Cluster (FCI) installations is the failure of the Network Name. In the following post I'll discuss a bit of background, the common root cause, and how to resolve it.
Is SQL Server going to move to the "cloud?" Steve Jones thinks it is and has a few thoughts as he starts off with "cloud week" here at SQLServerCentral.
Data pages read from disk are placed in the buffer pool with the intention that they will be reused, and accessing them from RAM is faster than from disk. Knowing how much of your RAM is committed to each database can help you provision the right amount of RAM to SQL Server, and also to identify rogue queries that draw too much data into RAM and force data from other databases out of the cache.
In this article, we will take a look at the following Tips and Tricks for Connection Managers: Adding an "Application Name" property to the connection string; Creating Two Connection Managers for each Database Connection; and Capturing Connection Manager details in Package Configurations
This article provides a solution to executes 32 bit SSIS packages in 64 bit environment.
Protecting our physical systems usually involves some type of security at the office. For many of this, we have some type of key card system. Andy Warren asks today how you handle things and does it work well.
There are a number of new features that became available with SQL Server 2014. One of the more exciting features is the new Memory-Optimized tables. In this article Greg Larson explores how to create Memory-Optimized tables, and what he's found during his initial exploration of using this new type of table.
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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
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