About Frank Uray

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So far Frank Uray has created 9 blog entries.

SQL JOIN

Heute mal ein kleiner Beitrag zum Thema SQL Join Zuerst mal erstellen wir zwei Tabellen und fügen ein paar Daten zum testen ein. CREATE TABLE [dbo].[TableLeft]([Key] [varchar](50) NULL, [LeftValue] [varchar](50) NULL) CREATE TABLE [dbo].[TableRight]([Key] [varchar](50) NULL, [RightValue] [varchar](50) NULL) INSERT [dbo].[TableLeft] ([Key], [LeftValue]) VALUES (N'3', N'LeftValue_1') INSERT [dbo].[TableLeft] ([Key], [LeftValue]) VALUES (N'1', N'LeftValue_2') INSERT [...]

By |2015-07-09T22:52:02+02:00July 9th, 2015|SQL Blog|0 Comments

How to JOIN

Today I am writing a little blog about SQL joins First we have to create two tables and insert some very simple data for testing. CREATE TABLE [dbo].[TableLeft]([Key] [varchar](50) NULL, [LeftValue] [varchar](50) NULL) CREATE TABLE [dbo].[TableRight]([Key] [varchar](50) NULL, [RightValue] [varchar](50) NULL) INSERT [dbo].[TableLeft] ([Key], [LeftValue]) VALUES (N'3', N'LeftValue_1') INSERT [dbo].[TableLeft] ([Key], [LeftValue]) VALUES (N'1', [...]

By |2015-07-09T22:56:56+02:00June 25th, 2015|SQL Blog @en|0 Comments

Delete duplicates from table

I would like to write a little post about deleteing duplicates from a table. Is is a wide issue and there are many different possibilities for doing that. The most easy one is when there is a primary key defined in the table. CREATE TABLE [dbo].[TableDuplicatesA] ([ID] [int] IDENTITY(1,1) NOT NULL, [Key] [varchar](50) NOT [...]

By |2015-06-20T20:38:04+02:00June 15th, 2015|SQL Blog @en|0 Comments

Duplikate aus einer Tabelle löschen

Ich möchte hier mal einen kleinen Beitrag zum Thema "Duplikate aus einer Tabelle löschen" schreiben. Das ist ein weit verbreitetes Thema und es gibt dafür viele verschiedenen Möglichkeiten das zu tun. Das einfachste ist wenn die Tabelle einen Primärschlüssel beinhaltet. CREATE TABLE [dbo].[TableDuplicatesA] ([ID] [int] IDENTITY(1,1) NOT NULL, [Key] [varchar](50) NOT NULL CONSTRAINT [pk_dbo_TableDuplicatesA] [...]

By |2015-06-20T20:38:12+02:00June 15th, 2015|SQL Blog|0 Comments
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