SSIS is able to take sorted data from more than one OLE DB data source and merge them into one table which can then be sent to an OLE DB destination. This 'Merge Join' transformation works in a similar way to a SQL join by specifying a 'join key' relationship. this transformation can save a great deal of processing on the destination. Annette Allen, as usual, gives clear guidance on how to do it.
2013-10-28
4,491 reads
In order to take full advantage of the In-Memory OLTP options in SQL Server 2014, you should migrate standard stored procedures that references Memory-Optimized tables to natively compiled ones. In this tip we will see how to achieve this goal.
2013-10-25
3,317 reads
SQL Server Reporting Services (SSRS) has evolved over the years to incorporate many new data visualization capabilities. In this article, Scott Murray illustrates how DBAs can use these tools to produce reports that include Indicators, Embedded Charts, Sparklins, and Chart overlays.
2013-10-24
6,148 reads
When pushing a major release to a large production database, you want to know that you'll be able to rollback changes if the need arises. These are some simple steps which we can follow to ensure that we don't have to reconfigure log shipping all over again thereby saving time and ensuring systems are not affected when rolling back changes.
2013-10-23
3,892 reads
In this article, Marcin Policht looks at migrating existing SQL Server databases to Windows Azure, starting with identifying obstacles associated with such migrations.
2013-10-22
3,910 reads
This article is an extract from the book Tribal SQL. In this article, Mark S. Rasmussen offers a concise introduction to the physical storage internals behind SQL Server databases. He doesn't dive into every detail, but provides a simple, clear picture of how SQL Server stores data.
2013-10-21
3,767 reads
One of the benefits of running SQL on virtual environment is the capability to present additional vCPUs to the virtual server online and real-time without interruption to running processes. Our VM administrator normally presents only 1 vCPU on the virtual server and extends as required. This article describes how SQL Server is able to detect hot-added vCPUs in my virtual server.
2013-10-18
2,865 reads
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.
2013-10-17
2,886 reads
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.
2013-10-16
2,239 reads
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
2013-10-15
5,063 reads
By Brian Kelley
I will be leading an in-person Certified Information Systems Auditor (CISA) exam prep class...
EightKB is back again for 2026! The biggest online SQL Server internals conference is...
By HeyMo0sh
Working in DevOps long enough teaches you two universal truths: That’s exactly why I...
Hi all, I just started using VS Code to work with DB projects. I...
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