Additional Articles


External Article

Working with the INSERT statement in SQL Server

The INSERT statement in SQL Server is versatile. It now allows the insertion of multiple rows of literal values. It also provides the output clause that solves a number of common problems such as ascertaining the value of identity fields, and other calculated fields in tables, or for auditing the rows that are added to tables. Robert, once again, gives a clear introduction.

2010-10-11

5,220 reads

External Article

Scripts to use XML to insert and update rows in a SQL Server table

The following production code is what I used for inserting and updating database tables using XML as the input. These scripts are for processing data for any table to insert or update data. The support functions provided, retrieve the table schema with their data types, functions to deal with XML dates, primary keys of the table and what fields can be updated. The following article breaks down this process from beginning to end.

2010-10-06

4,867 reads

Blogs

Optimising Costs: Strategies for Efficient Cloud Resource Management

By

Over time, I’ve realised that one of the hardest parts of cloud management isn’t...

Cost Visibility: Tracking and Analysing Your Cloud Spend

By

One of the biggest challenges I’ve faced in cloud operations is maintaining clear visibility...

Whiling away an afternoon, thinking

By

I come to Heathrow often. Today is likely somewhere close to 60 trips to...

Read the latest Blogs

Forums

Fun with JSON II

By Steve Jones - SSC Editor

Comments posted to this topic are about the item Fun with JSON II

Changing Data Types

By Steve Jones - SSC Editor

Comments posted to this topic are about the item Changing Data Types

Answering Questions On Dropped Columns

By Cláudio Silva

Comments posted to this topic are about the item Answering Questions On Dropped Columns

Visit the forum

Question of the Day

Fun with JSON II

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