Writing Nearly Codeless Apps: Part 5
In this next installment of the series on writing codeless applications, David Ziffer looks at the querying of data from the database.
2010-11-03
5,430 reads
David Ziffer
Writing Nearly Codeless Apps: Part 4
Part four of this series on rapid application development looks at the CRUD routines that are needed for almost every application.
2010-10-27
7,111 reads
Writing Nearly Codeless Apps: Part 3
As we continue in this series, see how auditing tables are used to track all changes that are made to the main data tables.
2010-10-20
8,326 reads
Writing Nearly Codeless Apps: Part 2
In this article, learn why it makes sense to build a more standarized, more robust database based on rules and see how data modeling works in the RAP software.
2010-10-13
10,596 reads
Writing Nearly Codeless Apps: Part 1
A new series from David Ziffer describes a way of building applications in a more standardized fashion, and it provides a basic review of some software that can help.
2010-10-06
18,466 reads
Use Excel to DIFF Your Query Outputs
Comparing data from two queries to see if they return the same results can be an interesting challenge. David Ziffer brings us a great way to do this using Excel.
2008-12-31
1,365 reads
Build Great Looking Excel Spreadsheets
Exporting data from your database and building reports is easy with Reporting Services, but sometimes you need to use other sources
2008-11-05
18,194 reads
Creating a generic audit trigger with SQL 2005 CLR
Auditing is becoming more important all the time for DBAs as regulations and requirements increase. Building auditing into your systems can be done a number of ways, but with SQL Server 2005, you have a new option. New author David Ziffer brings us a generic auditing CLR trigger.
2006-08-02
19,117 reads
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Question of the Day
Adding new column with DEFAULT II
Which number did the two COUNT(*) return:
DROP TABLE IF EXISTS #tmp CREATE TABLE #tmp (id INT NOT NULL) INSERT INTO #tmp (id) SELECT gs.value FROM GENERATE_SERIES(1, 5) AS gs ALTER TABLE #tmp ADD my_value INT NOT NULL CONSTRAINT df_tmp_my_value DEFAULT 1 SELECT COUNT(*) FROM #tmp AS t WHERE my_value = 1 ALTER TABLE #tmp DROP CONSTRAINT df_tmp_my_value ALTER TABLE #tmp ADD CONSTRAINT df_tmp_my_value DEFAULT 2 FOR my_value SELECT COUNT(*) FROM #tmp AS t WHERE my_value = 1See possible answers