Cleaning Address Data with SSIS Using a Web Service
This article describes how to call a web service to clean up address data from within a data flow.
This article describes how to call a web service to clean up address data from within a data flow.
A few comment on the database news for the week ending 11/10/07
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Is the rapid pace of information being fed to us a problem? Steve Jones has a few thoughts.
Examining statistics of indexes is useful for optimizing the performance of queries. Statistics help us determine the usage and worth of indexes - one simple method is using the index-related dynamic management view; sys.dm_db_index_usage_stats
I have always wanted to be able to pass table variables to stored procedures. If a variable is able to be declared, it should have the functionality to be passed as necessary. I was thrilled to learn that SQL Server 2008 offers this functionality. Here are instructions on how to pass table variables (and the data in them) into stored procedures and functions.
Interacting with SQL Server from .NET is a radical change from the old OLEDB/ODBC method. Raj Vasant brings us some easy ways to work with parameters passed in with the ADO SQLCommand.
This article discusses prioritizing code by age, using analysis tools and automation, looking at threats from multiple angles, and the importance of education
Find out how to update and tune table statistics in SQL Server to ensure data accuracy and boost performance. Learn auto and manual update commands.
By HeyMo0sh
Working in DevOps long enough teaches you two universal truths: That’s exactly why I...
By Steve Jones
Finding duplicates was an interview question for me years ago, and I’ve never forgotten...
By HeyMo0sh
Over time, I’ve realised that one of the hardest parts of cloud management isn’t...
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