Crowdsourcing quality: Can the hive mind/herd mentality help you in software testing?
Crowdsourcing is one way to get a job done. In this article, Devyani Borade describes crowdsourcing quality testing of software.
Crowdsourcing is one way to get a job done. In this article, Devyani Borade describes crowdsourcing quality testing of software.
Often, we want to test the new version of a database, produced by a Flyway migration, before committing the new migration file, or to test the same migration run on a number of different databases. This article demonstrates how to do it, by generating and using JSON parameter files to run a series of Flyway actions on any number of databases, on any number of servers.
I ran into this quote on the Microsoft Learn site, which I thought was a great way to think about how to administer a system: "Without a baseline, every issue encountered could be considered normal and therefore not require any additional intervention." When I've had users file tickets or complain about things not working well, […]
Introduction In this article, we will talk about a newly introduced activity in Azure Data Factory, which is the fail activity. The fail activity is very useful to stop or fail the pipeline at the specified point. For example, a lookup activity might return no data or a switch activity executes the default block. We […]
Flyway uses a schema history table to track the version of each database, recording in it every versioned migration file applied to build that version. It's worth understanding exactly how Flyway uses this table, the possible dangers of moving it to a non-default location and how to do it safely, if required.
SQL Server provides two ways to include an incrementing number in a table. Greg Larsen explains how to replace an identity column with a sequence number.
Learn about enabling soft-delete for your Azure Storage containers.
Today Steve wonders how many of you really need 256GB of RAM in Standard Edition.
In this article we look at the similarities and differences of SSIS and Azure Data Factory and provide some insight as to when you would use one over the other.
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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