Selecting Data
Last updated on 2023-05-08 | Edit this page
Overview
Questions
- How can I get data from a database?
Objectives
- Explain the difference between a table, a record, and a field.
- Explain the difference between a database and a database manager.
- Write a query to select all values for specific fields from a single table.
A relational database is a way to store and manipulate information. Databases are arranged as tables. Each table has columns (also known as fields) that describe the data, and rows (also known as records) which contain the data.
When we are using a spreadsheet, we put formulas into cells to calculate new values based on old ones. When we are using a database, we send commands (usually called queries to a database manager: a program that manipulates the database for us. The database manager does whatever lookups and calculations the query specifies, returning the results in a tabular form that we can then use as a starting point for further queries.
Queries are written in a language called SQL, which stands for “Structured Query Language”. SQL provides hundreds of different ways to analyze and recombine data. We will only look at a handful of queries, but that handful accounts for most of what scientists do.
Changing Database Managers
Many database managers — Oracle, IBM DB2, PostgreSQL, MySQL, Microsoft Access, and SQLite — understand SQL but each stores data in a different way, so a database created with one cannot be used directly by another. However, every database manager can import and export data in a variety of formats like .csv, SQL, so it is possible to move information from one to another.
Getting Into and Out Of SQLite
In order to use the SQLite commands interactively, we need to enter into the SQLite console. So, open up a terminal, and run
The SQLite command is sqlite3
and you are telling SQLite
to open up the survey.db
. You need to specify the
.db
file, otherwise SQLite will open up a temporary, empty
database.
To get out of SQLite, type out .exit
or
.quit
. For some terminals, Ctrl-D
can also
work. If you forget any SQLite .
(dot) command, type
.help
.
Before we get into using SQLite to select the data, let’s take a look at the tables of the database we will use in our examples:
Person: People who took readings, id
being the unique identifier for that person.
id | personal | family |
---|---|---|
dyer | William | Dyer |
pb | Frank | Pabodie |
lake | Anderson | Lake |
roe | Valentina | Roerich |
danforth | Frank | Danforth |
Site: Locations of the sites
where
readings were taken.
name | lat | long |
---|---|---|
DR-1 | -49.85 | -128.57 |
DR-3 | -47.15 | -126.72 |
MSK-4 | -48.87 | -123.4 |
Visited: Specific identification id
of
the precise locations where readings were taken at the sites and
dates.
id | site | dated |
---|---|---|
619 | DR-1 | 1927-02-08 |
622 | DR-1 | 1927-02-10 |
734 | DR-3 | 1930-01-07 |
735 | DR-3 | 1930-01-12 |
751 | DR-3 | 1930-02-26 |
752 | DR-3 | -null- |
837 | MSK-4 | 1932-01-14 |
844 | DR-1 | 1932-03-22 |
Survey: The measurements taken at each precise
location on these sites. They are identified as taken
. The
field quant
is short for quantity and indicates what is
being measured. The values are rad
, sal
, and
temp
referring to ‘radiation’, ‘salinity’ and
‘temperature’, respectively.
taken | person | quant | reading |
---|---|---|---|
619 | dyer | rad | 9.82 |
619 | dyer | sal | 0.13 |
622 | dyer | rad | 7.8 |
622 | dyer | sal | 0.09 |
734 | pb | rad | 8.41 |
734 | lake | sal | 0.05 |
734 | pb | temp | -21.5 |
735 | pb | rad | 7.22 |
735 | -null- | sal | 0.06 |
735 | -null- | temp | -26.0 |
751 | pb | rad | 4.35 |
751 | pb | temp | -18.5 |
751 | lake | sal | 0.1 |
752 | lake | rad | 2.19 |
752 | lake | sal | 0.09 |
752 | lake | temp | -16.0 |
752 | roe | sal | 41.6 |
837 | lake | rad | 1.46 |
837 | lake | sal | 0.21 |
837 | roe | sal | 22.5 |
844 | roe | rad | 11.25 |
Notice that three entries — one in the Visited
table,
and two in the Survey
table — don’t contain any actual
data, but instead have a special -null-
entry: we’ll return
to these missing values later.
Checking If Data is Available
On the shell command line, change the working directory to the one
where you saved survey.db
. If you saved it at your Desktop
you should use
OUTPUT
survey.db
If you get the same output, you can run
OUTPUT
SQLite version 3.8.8 2015-01-16 12:08:06
Enter ".help" for usage hints.
sqlite>
that instructs SQLite to load the database in the
survey.db
file.
For a list of useful system commands, enter .help
.
All SQLite-specific commands are prefixed with a .
to
distinguish them from SQL commands.
Type .tables
to list the tables in the database.
OUTPUT
Person Site Survey Visited
If you had the above tables, you might be curious what information
was stored in each table. To get more information on the tables, type
.schema
to see the SQL statements used to create the tables
in the database. The statements will have a list of the columns and the
data types each column stores.
OUTPUT
CREATE TABLE Person (id text, personal text, family text);
CREATE TABLE Site (name text, lat real, long real);
CREATE TABLE Survey (taken integer, person text, quant text, reading real);
CREATE TABLE Visited (id integer, site text, dated text);
The output is formatted as <columnName dataType>. Thus we can see from the first line that the table Person has three columns:
- id with type text
- personal with type text
- family with type text
Note: The available data types vary based on the database manager - you can search online for what data types are supported.
You can change some SQLite settings to make the output easier to read. First, set the output mode to display left-aligned columns. Then turn on the display of column headers.
Alternatively, you can get the settings automatically by creating a
.sqliterc
file. Add the commands above and reopen SQLite.
For Windows, use C:\Users\<yourusername>.sqliterc
.
For Linux/MacOS, use
/Users/<yourusername>/.sqliterc
.
To exit SQLite and return to the shell command line, you can use
either .quit
or .exit
.
For now, let’s write an SQL query that displays scientists’ names. We
do this using the SQL command SELECT
, giving it the names
of the columns we want and the table we want them from. Our query and
its output look like this:
family | personal |
---|---|
Dyer | William |
Pabodie | Frank |
Lake | Anderson |
Roerich | Valentina |
Danforth | Frank |
The semicolon at the end of the query tells the database manager that the query is complete and ready to run. We have written our commands in upper case and the names for the table and columns in lower case, but we don’t have to: as the example below shows, SQL is case insensitive.
family | personal |
---|---|
Dyer | William |
Pabodie | Frank |
Lake | Anderson |
Roerich | Valentina |
Danforth | Frank |
You can use SQL’s case insensitivity to distinguish between different
parts of an SQL statement. In this lesson, we use the convention of
using UPPER CASE for SQL keywords (such as SELECT
and
FROM
), Title Case for table names, and lower case for field
names. Whatever casing convention you choose, please be consistent:
complex queries are hard enough to read without the extra cognitive load
of random capitalization.
While we are on the topic of SQL’s syntax, one aspect of SQL’s syntax
that can frustrate novices and experts alike is forgetting to finish a
command with ;
(semicolon). When you press enter for a
command without adding the ;
to the end, it can look
something like this:
This is SQL’s prompt, where it is waiting for additional commands or
for a ;
to let SQL know to finish. This is easy to fix!
Just type ;
and press enter!
Now, going back to our query, it’s important to understand that the rows and columns in a database table aren’t actually stored in any particular order. They will always be displayed in some order, but we can control that in various ways. For example, we could swap the columns in the output by writing our query as:
personal | family |
---|---|
William | Dyer |
Frank | Pabodie |
Anderson | Lake |
Valentina | Roerich |
Frank | Danforth |
or even repeat columns:
id | id | id |
---|---|---|
dyer | dyer | dyer |
pb | pb | pb |
lake | lake | lake |
roe | roe | roe |
danforth | danforth | danforth |
As a shortcut, we can select all of the columns in a table using
*
:
id | personal | family |
---|---|---|
dyer | William | Dyer |
pb | Frank | Pabodie |
lake | Anderson | Lake |
roe | Valentina | Roerich |
danforth | Frank | Danforth |
Understanding CREATE statements
Use the .schema
to identify column that contains
integers.
OUTPUT
CREATE TABLE Person (id text, personal text, family text);
CREATE TABLE Site (name text, lat real, long real);
CREATE TABLE Survey (taken integer, person text, quant text, reading real);
CREATE TABLE Visited (id integer, site text, dated text);
From the output, we see that the taken column in the Survey table (3rd line) is composed of integers.
Selecting Site Names
Write a query that selects only the name
column from the
Site
table.
Key Points
- A relational database stores information in tables, each of which has a fixed set of columns and a variable number of records.
- A database manager is a program that manipulates information stored in a database.
- We write queries in a specialized language called SQL to extract information from databases.
- Use SELECT… FROM… to get values from a database table.
- SQL is case-insensitive (but data is case-sensitive).