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Optimizing Transaction Log Throughput

As a DBA, it is vital to manage transaction log growth explicitly, rather than let SQL Server auto-growth events "manage" it for you. If you undersize the log, and then let SQL Server auto-grow it in small increments, you'll end up with a very fragmented log. This article demonstrates how this can have a significant impact on the performance of any SQL Server operations that need to read the log.

2014-05-27

3,916 reads

External Article

Do We Still Need Database Design in the Era of Big Data?

Many big data application implementations seem to begin with an existing data warehouse, one or more new high-volume data streams, and some specialized hardware and software. The data storage issue is often accommodated by installing a proprietary hardware appliance that can store huge amounts of data while providing extremely fast data access. In these cases, do we really need to worry about database design?

2014-05-26

5,297 reads

External Article

Producing JSON Documents from SQL Server queries via TSQL

Although SQL Server supports XML well, XML's little cousin JSON gets no love. This is frustrating now that JSON is in so much demand. Maybe, Phil Factor suggests, it is possible to leverage all that XML, and XPath, goodness in SQL Server to produce JSON in a versatile way from SQL Queries? Yes, it so happens that there are plenty of alternatives.

2014-05-22

8,456 reads

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Question of the Day

Fun with JSON I

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 *
FROM OPENJSON(
     (
         SELECT t.* FROM #test_data AS t FOR JSON PATH
     )
             ) t;

See possible answers