5. Getting Started with SQL

Structured Query Language (SQL) is a standardized programming language that is used to manage relational databases and perform various operations on the data in them. There are many different dialects of SQL, and whilst they are broadly similar, the more advanced dialects, like that used in PostgreSQL, offer additional functions. SQL in PostgreSQL conforms to the ANSI (American National Standards Institute) standard. To be compliant with ANSI, systems must support the major commands, including SELECT, UPDATE, DELETE, INSERT, WHERE so many statements will be similar to that used in other systems like Oracle and MS SQL Server.

5.1. SQL in pgAdmin

pgAdmin has a query window to use for interaction with the database with user-defined SQL. You can access it through the Tools menu or the right-click menu.

The query window is divided into three areas:

• an input pane for writing queries

• an output pane to receive results

• a scratch pad for making notes

The query windows allows the user to:

• execute a query and see the results in the results pane

• execute a query and save results to a text file

• save a query as SQL

• open a saved query

pgAdmin includes some standard scripts and functions that are available by right-clicking on table name. These allow you to view all, or a subset of the data in a table, or construct common SQL scripts.

5.2. Querying data

A simple query might return a sub-set of the data held within the database. In English there are multiple ways of posing a question, whereas in SQL you need to be specific about the language you use and the precise columns, tables, schemas and databases you are referring to. Fortunately, pgAdmin provides some tools to help construct these queries.

So if you wanted to generate a list of names of all the Parishes and their areas in hectares within the county of Surrey, the SQL query needed might look like this:

SELECT name, hectares
FROM boundaryline.parish
WHERE file_name = 'SURREY_COUNTY';

Note keywords or statements like SELECT, FROM and WHERE are not case case sensitive (SELECT = select = SeLecT), but by convention we use uppercase for all SQL keywords in order to make queries easier to read. Queries can be composed as a single line, or spread over a number of lines to ease reading. A semicolon ( ; ) is used to signal to PostgreSQL the end of an SQL statement

Single Quotes contain string values e.g. name = ‘Epsom’. Only use these with string data types such as text and character varying.

String values are case sensitive so SELECT * FROM general settlement WHERE name like 'Epsom'; and SELECT * FROM general settlement WHERE name like 'ePsOm'; will produce different results.

If the string itself includes a quote, replace the single quotes with $$ e.g. name = $$St. David’s$$

Double quote enclose database object names that:

• include a space

• use upper case characters

• use ‘special’ characters like punctuation

• are a reserved SQL word

5.3. SELECT

The most basic form of the SELECT statement retrieves data from a single table. The syntax is as follows

SELECT [select_list]
FROM [table_name];

• [select_list] can be a single column, or a list of columns from the table you want to retrieve data from. A comma ( , ) is used to separate the individual columns. If you want to return all columns of the table you can use an asterisk ( * ) in place of [select_list]. The [select_list] may also contain an expressions or literal values.

• The FROM clause is optional and specifies the name of the table from which you want to query data.

The SELECT statement can be used to form incredibly flexible queries by including additional clauses

• Select distinct rows using DISTINCT operator.

• Sort rows usingORDER BY clause.

• Filter rows using WHERE clause.

• Select a subset of rows from a table using LIMIT or FETCH clause.

• Group rows into groups using GROUP BY clause.

• Filter groups using HAVING clause.

• Join with other tables using joins such as INNER JOIN, LEFT JOIN, FULL OUTER JOIN, CROSS JOIN clauses.

• Perform set operations using UNION, INTERSECT, and EXCEPT.

5.4. SELECT DISTINCT

The DISTINCT clause is used in a SELECT statement to remove duplicate values. It can be applied to one or more columns in the [select_list] using the following syntax:

SELECT 
  DISTINCT [column_name]
FROM 
  [table_name];

• [select_list] can be a single column, or a list of columns from the table

5.5. Sorting results

The ORDER BY clause allows you to sort rows returned by a SELECT clause in ascending or descending order using ASC or DESC options. It is possible to sort based on multiple columns by separating expressions with a comma ( , ).

The syntax employed follows this format;

SELECT 
  [select_list]
FROM 
  [table_name]
ORDER BY
  [sort_expression1] [ASC | DESC]
  ...
  [sort_expression2] [ASC | DESC];

5.6. WHERE

The syntax of the WHERE clause can be used to return records that satisfy a specified condition. The condition must evaluate as true or false with only records where condition is true to be included within the result set. The following comparison and logical operators may be used to form the condition. Logical operators can be used to combine additional WHERE clauses

SELECT "EstablishmentNumber","EstablishmentName","EstablishmentStatus (name)","PhaseOfEducation (name)","SchoolCapacity"
FROM general.school
WHERE  "EstablishmentStatus (name)" like 'Open' AND "PhaseOfEducation (name)" like 'Primary'AND "SchoolCapacity" BETWEEN 300 AND 500;

5.7. SQL in QGIS

QGIS can be used as an alternative to pgAdmin for running SQL queries.. Note: if you want to display the distribution on the map you need to include the geometry column.