Every column name was separated by a comma. This INSERT statement contained a column_list that identifies every column except the ID column. Inserting Data in My Sailboat Tableįor my first example let me insert one row into my Sailboat table using the code below: INSERT INTO Sailboat (Manufacture, Model, Length, Beam, Price ) VALUES ( 'Cal Jenson', 'Cal 40', '40 feet 0 inches', '10 feet 2 inches', 39500.00 ) If a column is defined as NOT NULL and there isn’t a default column value then you will need to provide a value on your INSERT statement. These NULL, NOT NULL and default constraints will determine which columns will need to be supplied on the basic INSERT statement. The Price column is the only column that does not require a value and it has the “NULL” property associated with that column. Also note that the ID, Manufacture, Model, Length and Beam columns have the criteria to be NOT NULL, meaning these columns will need a value assigned when inserting a row into the Sailboat table. The Price field is used to store the selling price for the sailing vessel. If the Length or Beam is not known at the time a record is inserted into this table the Length or Beam values will default to the value “unknown”. The Length and Beam columns will be used to store the overall length and beam of the sailboat in feet and inches. The Model column is used to store the model name of the sailboat. The Manufacture column will be used to store the company that built the sailboat. The ID column is an identity field, which will be used to uniquely identify each Sailboat record. This table will be used to store a list of sailboats that are for sale. Model varchar (30 ) NOT NULL, Length varchar (20 ) default 'unknown' NOT NULL,īeam varchar (20 ) default 'unknown' NOT NULL, I will use the following script to create my table: USE tempdb In order to demonstrate the INSERT statement I first need to create a table that I can use to populate with data. If you plan to identify a value in the value_list for each column in the table then you can exclude the column list. The column_list is only needed if you don’t plan to insert values for each column in the table. – represents a list of column values that will be used to populate columns in – represents a list of columns that data will be placed when inserting a row Here is the syntax for the basic INSERT statement: My reference to the basic INSERT statement means inserting data into a table by using a list of columns and a value for each column. There are a number of different ways to use the INSERT statement to place data into a SQL Server database table. In this article I will be explore the methods you can use when inserting data into a database table using the INSERT statement. There are a number of different ways to accomplish this. Long story short, if you are working regularly with Microsoft SQL Server (also on Azure), you should have this book in your (digital) bookshelf.Before you can read data from your database you need to understand how to insert data into the tables in your database. It will be one of my reference books in future when it comes to troubleshooting and query performance with SQL. The book already helped me during the reading time to better understand what I am doing and how I can optimize my own queries. I got the book because my current job requires me to write efficient T-SQL code for the interfaces I am developing. The book closes with the Query Tuning Assistant, which is the recommended tool to perform SQL server updates. On top, there are also references to some Open Source tools that can be helpful at times. Microsoft’s SQL Server Management Tools itself comes with a bunch of such tools, and the book helps not only to find them, but also to use them correctly. The last section of the book shows a lot of troubleshooting techniques and how to use them properly. This is the section where I learned the most throughout the book. The perhaps most important part in this section are the two chapters about T-SQL antipatterns. The section has a bunch of tips that developers can use in their everyday life with databases. The second section of the book is guiding us through how Query Execution plans work and how they can help to write more efficient SQL queries. They also explain how SQL Server optimizes queries and how different versions of SQL Server are processing them differently, which can result in different performances for complex queries. In the first section of the book, the authors give us an overview about the anatomy of a query (going very deep) and how SQL Server (also on Azure) processes queries.
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