SQL Tutorial: Introduction
 
SQL Tutorial
SQL Tutorial
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 1. Introduction
 2. A Simple Query
 Practice
 3. Common Searches
 4. More Samples
 Practice
 5. Multiple Tables
 Practice
 6. Aggregate Fcns.
 7. Group By
 8. Order By
 Practice
 9. Views
 10. Functions
 Practice
 11. Conclusion

A Quick Introduction

Before you begin searching SkyServer, you should get a quick introduction what it means to search for data. SkyServer's information on all sky objects - stars, galaxies, and others - is stored in a database, a storehouse for data. A request to a database to return some information is called a query. When you ask a database for information, you must write your query in some computer language that the database can understand. SkyServer, like many other databases, uses Structured Query Language (SQL). When you write a query with SQL, the database searches for all records that meet your search criteria; in the case of SkyServer, each record is the information on a single observation of a single object in the sky.

But you have to be careful when you write a query: since the database contains hundreds of pieces of information for each of millions of objects, a poorly written query could return Gigabytes of information that won't help you at all. The best possible query will return all the information that you need, and no information that you don't need. Writing queries is an art - before you start writing, you need to think carefully about what information you need.

The Database Structure

To know what information you need, you need to know exactly what information the database contains. The SkyServer database is divided into a series of tables. Each table contains data of a different type. For example, all data related to an object's spectrum are stored in a table called "specObj." All data related to an object's image properties are stored in a table called "photoObj." SkyServer contains 63 tables, although most of the commonly accessed data are stored in just three or four of them.

Each table contains a series of columns. A column contains only one type of data - for example, magnitude or sky position. Each record consists of a series of columns, although some columns may be empty for some records. Some tables contain only two or three columns; some contain hundreds! Knowing exactly which table and which column contains the data you want can be a challenge.

A very, very, very, very small part of the photoPrimary table.
The full table contains more than 300 columns and more than
14 million records.

The Schema Browser

A tool called the Schema Browser allows you to study all the tables and columns, to find where the data you want are located. The Schema Browser can be intimidating, but it is easy to use. In the left-hand column, you can either browse through various tables to find a specific column, or you can search for keywords in all the column descriptions.

To browse through the tables, click on "Tables" in the left-hand column. (Note: some tables, like "specObj," are under "Views" instead...more on that later!) A list of all tables will appear under the Tables link. Click on the name of the one that you are interested in, and a list of that table's columns will appear on the right.

To search through all the tables to find a keyword, enter the keyword in the Search box and hit Go. A list of matching table columns and descriptions will appear on the right.

Some of the column descriptions include a symbol. When you see the symbol, click on it for more information about that column.

Try it now. Open the Schema Browser. In which table and columns would you find the SDSS run-camcol-field classification numbers for the image of a single object? What about the object's type (star, galaxy, or other) as seen in its image? What about the redshift of a spectrum?   Answers

Now that you know how to find the information you need, you're ready to start querying the database for that information. Click Next to learn how to write a simple query.