OverviewTeaching: 20 min
Exercises: 20 minQuestions
How can I combine data from multiple tables?Objectives
Explain the operation of a query that joins two tables.
Explain how to restrict the output of a query containing a join to only include meaningful combinations of values.
Write queries that join tables on equal keys.
Explain what primary and foreign keys are, and why they are useful.
In order to submit our data to a web site
that aggregates historical meteorological data,
we might need to format it as
latitude, longitude, date, quantity, and reading.
our latitudes and longitudes are in the
while the dates of measurements are in the
and the readings themselves are in the
We need to combine these tables somehow.
This figure shows the relations between the tables:
The SQL command to do this is
To see how it works,
let’s start by joining the
SELECT * FROM Site JOIN Visited;
the cross product
of two tables,
it joins each record of one table with each record of the other table
to give all possible combinations.
Since there are three records in
and eight in
the join’s output has 24 records (3 * 8 = 24) .
And since each table has three fields,
the output has six fields (3 + 3 = 6).
What the join hasn’t done is figure out if the records being joined have anything to do with each other. It has no way of knowing whether they do or not until we tell it how. To do that, we add a clause specifying that we’re only interested in combinations that have the same site name, thus we need to use a filter:
SELECT * FROM Site JOIN Visited ON Site.name = Visited.site;
ON is very similar to
and for all the queries in this lesson you can use them interchangeably.
There are differences in how they affect outer joins,
but that’s beyond the scope of this lesson.
Once we add this to our query,
the database manager throws away records
that combined information about two different sites,
leaving us with just the ones we want.
Notice that we used
Table.field to specify field names
in the output of the join.
We do this because tables can have fields with the same name,
and we need to be specific which ones we’re talking about.
if we joined the
the result would inherit a field called
from each of the original tables.
We can now use the same dotted notation to select the three columns we actually want out of our join:
SELECT Site.lat, Site.long, Visited.dated FROM Site JOIN Visited ON Site.name = Visited.site;
If joining two tables is good,
joining many tables must be better.
we can join any number of tables
simply by adding more
JOIN clauses to our query,
ON tests to filter out combinations of records
that don’t make sense:
SELECT Site.lat, Site.long, Visited.dated, Survey.quant, Survey.reading FROM Site JOIN Visited JOIN Survey ON Site.name = Visited.site AND Visited.id = Survey.taken AND Visited.dated IS NOT NULL;
We can tell which records from
correspond with each other
because those tables contain
and foreign keys.
A primary key is a value,
or combination of values,
that uniquely identifies each record in a table.
A foreign key is a value (or combination of values) from one table
that identifies a unique record in another table.
Another way of saying this is that
a foreign key is the primary key of one table
that appears in some other table.
In our database,
Person.id is the primary key in the
Survey.person is a foreign key
Survey table’s entries
to entries in
Most database designers believe that every table should have a well-defined primary key. They also believe that this key should be separate from the data itself, so that if we ever need to change the data, we only need to make one change in one place. One easy way to do this is to create an arbitrary, unique ID for each record as we add it to the database. This is actually very common: those IDs have names like “student numbers” and “patient numbers”, and they almost always turn out to have originally been a unique record identifier in some database system or other. As the query below demonstrates, SQLite automatically numbers records as they’re added to tables, and we can use those record numbers in queries:
SELECT rowid, * FROM Person;
Listing Radiation Readings
Write a query that lists all radiation readings from the DR-1 site.
SELECT Survey.reading FROM Site JOIN Visited JOIN Survey ON Site.name = Visited.site AND Visited.id = Survey.taken WHERE Site.name = 'DR-1' AND Survey.quant = 'rad';
reading 9.82 7.8 11.25
Write a query that lists all sites visited by people named “Frank”.
SELECT DISTINCT Site.name FROM Site JOIN Visited JOIN Survey JOIN Person ON Site.name = Visited.site AND Visited.id = Survey.taken AND Survey.person = Person.id WHERE Person.personal = 'Frank';
Describe in your own words what the following query produces:
SELECT Site.name FROM Site JOIN Visited ON Site.lat <- 49.0 AND Site.name = Visited.site AND Visited.dated >= '1932-01-01';
Who Has Been Where?
Write a query that shows each site with exact location (lat, long) ordered by visited date, followed by personal name and family name of the person who visited the site and the type of measurement taken and its reading. Please avoid all null values. Tip: you should get 15 records with 8 fields.
SELECT Site.name, Site.lat, Site.long, Person.personal, Person.family, Survey.quant, Survey.reading, Visited.dated FROM Site JOIN Visited JOIN Survey JOIN Person ON Site.name = Visited.site AND Visited.id = Survey.taken AND Survey.person = Person.id WHERE Survey.person IS NOT NULL AND Visited.dated IS NOT NULL ORDER BY Visited.dated;
name lat long personal family quant reading dated DR-1 -49.85 -128.57 William Dyer rad 9.82 1927-02-08 DR-1 -49.85 -128.57 William Dyer sal 0.13 1927-02-08 DR-1 -49.85 -128.57 William Dyer rad 7.8 1927-02-10 DR-1 -49.85 -128.57 William Dyer sal 0.09 1927-02-10 DR-3 -47.15 -126.72 Anderson Lake sal 0.05 1930-01-07 DR-3 -47.15 -126.72 Frank Pabodie rad 8.41 1930-01-07 DR-3 -47.15 -126.72 Frank Pabodie temp -21.5 1930-01-07 DR-3 -47.15 -126.72 Frank Pabodie rad 7.22 1930-01-12 DR-3 -47.15 -126.72 Anderson Lake sal 0.1 1930-02-26 DR-3 -47.15 -126.72 Frank Pabodie rad 4.35 1930-02-26 DR-3 -47.15 -126.72 Frank Pabodie temp -18.5 1930-02-26 MSK-4 -48.87 -123.4 Anderson Lake rad 1.46 1932-01-14 MSK-4 -48.87 -123.4 Anderson Lake sal 0.21 1932-01-14 MSK-4 -48.87 -123.4 Valentina Roerich sal 22.5 1932-01-14 DR-1 -49.85 -128.57 Valentina Roerich rad 11.25 1932-03-22
A good visual explanation of joins can be found here
Use JOIN to combine data from two tables.
Use table.field notation to refer to fields when doing joins.
Every fact should be represented in a database exactly once.
A join produces all combinations of records from one table with records from another.
A primary key is a field (or set of fields) whose values uniquely identify the records in a table.
A foreign key is a field (or set of fields) in one table whose values are a primary key in another table.
We can eliminate meaningless combinations of records by matching primary keys and foreign keys between tables.
The most common join condition is matching keys.