Technical Article

Top 10 steps to optimize data access in SQL Server. Part III (Apply advanced indexing and denormalization)

Even after you have applied proper indexing along with re-factoring your TSQLs with best practices, some data access routines might still be there, which would be expensive, in terms of their execution time. There must have been some smart ways to deal with these. Yes there are. SQL server offers you some rich indexing techniques that you might have not used earlier. These could surprise you with the performance benefits they possibly offer. Let us start implementing those advanced indexing techniques:

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Logging with SQL Server

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Question of the Day

Adding new column with DEFAULT

Which number will the COUNT() return after executing the following statements:

DROP TABLE IF EXISTS #test;
CREATE TABLE #test (id INT)
INSERT INTO #test (id)
SELECT *
  FROM GENERATE_SERIES(1, 3) AS gs
;

ALTER TABLE #test ADD flag BIT CONSTRAINT DF_#test_flag DEFAULT 0;
go
UPDATE #test SET flag = 0 WHERE id = 1
UPDATE #test SET flag = 1 WHERE id = 2

INSERT INTO #test (id) VALUES (4)

SELECT COUNT(*)
  FROM #test AS t
 WHERE flag = 0
 

See possible answers