This course will introduce students to the basics of the Structured Query Language (SQL) as well as basic database design for storing data as part of a multi-step data gathering, analysis, and processing effort. The course will use SQLite3 as its database. We will also build web crawlers and multi-step data gathering and visualization processes. We will use the D3.js library to do basic data visualization. This course will cover Chapters 14-15 of the book “Python for Everybody”. To succeed in this course, you should be familiar with the material covered in Chapters 1-13 of the textbook and the first three courses in this specialization. This course covers Python 3.
15.8 - Many-to-Many Relationships
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Python Programming, Database (DBMS), Sqlite, SQL
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JG
Jun 17, 2016
This course was great! I enjoyed parsing different types of data: from documents and the web. This course is definitely (rudimentary) a must take course for anyone who wants to go into data science.
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Mar 06, 2019
This course is well designed to get fast launching in programming & talking to data with python. As the name suggests " Python For Everybody ", courses in this specialization really signifies that.
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Many-to-Many Relationships in SQL
In this section we explore how to model situations like students enrolling in courses where each course has many students and each student is enrolled in many courses.
教學方
Charles Severance
Professor
So we've learned about foreign keys.
We've learned about JOIN.
We've learned about how to normalize data to remove duplicates.
But there's still one more basic data modeling thing that we have to learn about
and that's many-to-many relationships.
And so everything we've done so far is what we call one-to-many.
And that is, an album has many tracks.
So at the end of these arrows, and we see these on some of the crow's foot
data model diagrams, one end is like many and then there's one.
So one album, and then many tracks.
And so, this is the kind of thing that we've got.
And we've got a foreign key in the many side.
So that allows there to be many, many, many tracks for one album.
And then another album would have many, many, many tracks.
Right? And so that's the idea.
There's a set of tracks that have the same I mean this is the duplication that we
just got rid of and that's called a many-to-one or a one-to-many, okay?
And so that is one form and it's the most common form and
we see this in our tables where we have genre_id or album_id and we have
duplication in here and this is the many side so there's many of these things
for one of those things.
And, as an example of biological mother and children,
a biological, single biological mother might have many children.
And this is also a crow's foot diagram.
And this little like crow's foot says many, and then one shows right there.
So when we're drawing these data model diagrams,
which we haven't spent too much time with,
we always draw them in a way so that we capture the manyness or
the cardinality of each end of the relationship.
Now, so that's one-to-many.
But sometimes we have a relationship between data that's many-to-many, and
frankly in our music data that we've been playing with, I already told you that, like,
well there's actually many artists on an album.
But I said don't worry about that. Well now we're going to worry about that.
So the example that I took from Wikipedia is books and authors.
There are many authors and many books.
And so, one author may talk to many books,
and one book may have different authors that they're connected to. And so
we can't say that either of these is a one relationship, and so
we call this a many-to-many.
On both ends there's a many-to-many.
But in terms of the table that we want to do, there is no way.
You can't put a single foreign key in this side.
Oops, come back.
We can't put a foreign key in this table to point to Books.
And we can't put a foreign key in Books pointing to Authors because that would be
sort of a one on either side.
And so we build a table in the middle, okay?
And in Wikipedia they call it a junction table, all kinds of names for
this thing, but what we do is we have a little table that we create.
We still have a Books table and a Authors table, but
then we have a table that models nothing but the connection between them and so
we decompose this many-to-many relationship into a
many-to-one relationship and a many-to-one relationship and these two things
then we can model properly using the exact same techniques that we've been using
all along.
And so we end up with a table that has two foreign keys in it and no primary key.
So let's take a look at how this looks when we actually build it and model it.
So here we're going to have something I care a lot about, courses and users.
So this has to do with the fact that one user is a member of many courses and
each course has many users so the relationship between courses and users,
the member-of relationship, is many on both ends.
And we just can't model that directly.
So we make a little mini-table in the middle, right?
So we call this the membership table or the table called Member.
We still have a User table and a Course table.
And we have a primary key in the Course and the User table.
And what we do is we have this Member table that has each row
has two foreign keys.
And it is a connection, so if you think of all the courses on one side, and
all the users on another side,
each connection, these could be friends of people,
each connection has one row
that connects a particular course with a particular user.
And that's how it works.
And so then that decomposes our many-to-many relationship
into two halves of two many-to-ones,
that then models the many-to-many relationship between the two tables.
We don't put an id.
We don't put that in there, because we can make a composite key,
which is, both these two things are the primary key for that table.
They're both numbers, duplication is allowed and so
this is all perfectly great.
Now sometimes we'll model something like put a role here so that you can say okay,
this is courses and users.
We might indicate that this particular user/course combination also
is an instructor and this particular is a student, right?
And so we can sometimes put a little bit of extra data on the link itself, and so
we have a little bit of data that we add down there.
Okay?
So we make this little table in the middle, and so here we're going to run
some databases. I'm going to start with a fresh database. I'm going to make a User
table, the main difference is I'm going to give the primary key for the users,
I'm going to make a Course table, and this is our standard primary key stuff.
I'm going to have a name and email for the users, and a title for the courses.
And then, those are just normal things that we're used to doing.
But now what we're going to do is create this little connector table
that's going to have two, it's going to have a role_id, and course_id.
I mean a user_id and a course_id.
And then we're going to model a little bit of data, right here in the middle, and
we're going to model role.
And this is going to allow us to say whether someone's a teacher or a student.
And the other thing that we're doing that's effectively a substitute for this
primary key is we're saying our primary key is actually two columns together.
And it's the combination.
So this forces it to be unique.
But it's really the combination of user_id and course_id must be unique.
Okay?
So let's take a look at this.
Let's actually go ahead and run some code.
And so what I'm going to suggest that you do is to start with a brand new fresh database.
Just click New Database. Right?
And we're going to call this, I'll call it sql3, New Database.
And, I'm not going to do my table there, I'm going to go over Execute SQL,
which by now I hope is coming somewhat comfortable to you.
And then, I'm going to grab.
Actually, I'm going to grab these two.
First we'll grab those two CREATE TABLE statements.
I'll put a semicolon at the end of this one so we can run them both.
Let's see if they worked.
Yep, I've got a course and user, primary key, title, id, name,
just exactly what we've got.
And so now what we're going to do is we are going to
execute the SQL to make the little connector table.
So I'll paste that in, and I will run that.
Let's see if it worked, and it did work.
So we're all good, primary key.
And now we're going to put some data in.
So let's take a look at some data.
When we're done, we've got that, which we've seen.
And so we're going to insert some users and some courses, so
let's take a look at that before we go doing it.
So because these have auto increment primary keys and
we're just going to insert the name and the email jane@tsugi.org and
we're going to insert three users and then we're going to get the user id's and
then we're going to insert three courses, Python, SQL, and PHP.
So we'll just do those.
Those are nothing special.
They're no different than the things we've been doing all along.
Go over here in SQL.
They all have semicolons at the end.
So it all ran, so we'll browse the data.
We see the course data.
And we see the user data.
And there's nothing in the membership data.
I mean, the database doesn't know that we've done anything like this.
We just inserted some stuff over here.
And what we're really doing is establishing the primary key in this
id column.
So Python is 1.
SQL is 2 and PHP is 3.
And so now we're going to actually put some data into the member column, and
the user_id, course_id, role.
So we're connecting one user to one course, and
then assigning a role to that particular membership.
So this is a membership record, who is a member of what and some aspect of it.
And there can be a few things that are
often a few more columns that you could do.
So let's take a look at the thing we've got to do to actually
insert users into the courses.
Right?
So here's the numbers that we've got.
And so now what we're going to do is
insert into, there we go, insert into the member table the enrollment records, as it were.
So we've got to insert user_id, course_id, foreign keys, and then the role.
And so this says, we're going to do user 1 is going to be in course 1, and
we'll make 1 be the instructor, okay?
And then we're saying
user 2 is in course 1 as a student.
User 3 is in course 1 as a student.
User 1 is course 2 as a student.
User 2 is in course 2 as an instructor.
Etc., etc., etc.
And so because we know what these numbers are in actual code
we'll know what the numbers are.
We know what the numbers are, and so
we sort of put them right in the insert statements.
And that's how we make our connections.
So let's go ahead and run those,
go to SQL and insert all those.
Click.
Oh yikes, hope I didn't do that twice.
Nope, I didn't do it twice.
I'm glad.
Let me just refresh to make sure I didn't do it twice.
Okay, so that's just the numbers that came from those insert statements and
instructor, instructor, instructor, the courses, and the students. Okay?
And so now what we have is we have
in our database, we have now connected these things together.
Right? So we've got them all connected
together. We've got our User table, we've got our Ccourse table, and
then we've got our connectors that go from here to here and here to here.
And we are modeling a little tiny bit of data
on the connection, is what we'd call that.
On the connection, okay?
So, let's get some data out of this table now.
We are going to write a select statement, SELECT User.name,
Member.role, and then Course.title.
We're going to select those from the User,
joined with the Member, joined with the Course, so
we're going to join all those together into one big long row.
We use the ON clause and the Member.user_id is equal to the user's id and
the members and the courses, the membership course id is equal to the course's id.
Member.course_id equals the course's id.
Oh and then we're going to do cool stuff.
We're going to order by the course title then the member role.
The way these.
And then member role descending and then the user name.
So what this means is, the precedence is course title's the most important thing.
The role's the next most important thing.
And we're going to do that descending and
then the user name is the third most important thing.
So this is going to give us sorted by course first and
then within course it's role first, and then for people that have the same role
like this one has the same role, so this allows us to see the teachers first and
then the students in alphabetical order because the role in 1 for teachers and
0 for students, okay?
So that's what we get when we make this join, and so
we've kind of created an enrollment record.
If we had a WHERE clause we could pick it for one particular course, etc., etc.
So let's go ahead and run that select.
It will be really boring if everything went well.
Execute SQL.
Paste that SQL in.
And run that SQL.
And so we see ordered by course, then ordered by role,
and then within the same role it's ordered by student name.
Okay? So that was an example of three things in
the ORDER BY clause.
Okay. So, you see this sort of working
if you look at various data models.
This happens to be a data model for your autograder actually.
It uses a piece of software called Tsugi.
And the interaction between the learning system and
Tsugi has to model things like what course you're coming from,
the membership you are, whether you're a teacher or not, and so if I look at this,
not that you really need to look at this in great detail, we got this
is a production software, a User table, a Context which is the same as course, and
then the Membership, and the Membership has a many, many-to-one, one.
So we have a many-to-many relationship between users and courses, but
we model it with this little table that's the connector table. And,
here's a role in there.
As you might expect in any teaching and learning environment,
you're going to keep track of the role. And I have a thing called the role override.
And I also have two little things that keep track of when things happen.
And so let's see.
So some of these.
Some of these.
So that's a many-to-many relationship.
Most of these other things are many-to-one.
This is a many-to-one relationship.
And so this is a modified crow's foot.
This is a many-to-one relationship between the course link.
This happens to be the link that you click on.
Blah blah blah blah blah.
And this is actually your grade.
And results are great, and so there's many results for one link,
and that's because every student gets their own grade.
Okay, so this just happens to be the data model for
this piece of software you have now been using, perhaps, for several months.
But you see one of these many-to-many relationships.
Okay. So, why did we do all this?
Why did we do all of these things?
Why did we make these little integers? Why did we take you about JOIN?
Why did we teach about many-to-many?
Why did we make your data look so crazy? And that is all about speed.
And you might say I don't care about speed.
And it turns out that there are plenty of programs for
which you don't care about speed.
You know, the little program to calculate the US floor from
the Europe floor.
It doesn't matter.
Reading 10,000 lines from a file doesn't matter. But when you build a SAN online
application or even a large data analysis application, speed begins to matter.
And so what happens is you cross over this moment where it become too slow.
And then the only way to make it go fast is to really make it go fast.
And so when you use databases you can do things that seem amazingly fast.
And so all this normalization, the amount of data that you store,
the amount of data you scan, is really taken out.
And it's not really a trade-off.
Either your thing is small enough that you don't have to do this, or you cross over
this point where your application will fail unless you don't do this.
And so that's why
this is an important skill to have.
So, we've covered a lot of SQL in a short period of time.
There's much more to learn.
People always ask me, is there an advanced SQL class, and
I'm like, well it's kind of a beginning SQL class and then the rest of your life.
Because you can always learn more about Structured Query Language, and
how databases work, and what goes fast, and what doesn't go fast.
A couple things that you can look for
as topics that we really didn't cover very well.
Indexes, this has to do with like logical keys and lookups really fast for strings.
Constraints.
We did have a thing not null.
There's other constraints that you can put on data.
And transactions.
They're a way to group operations, like if a read starts,
no more reads until a write happens.
And so it's a way of blocking things, and so these are all very, very important topics.
And so, relational databases could be a profession all by itself.
Just knowing how to do databases is impressive.
Doing database design is impressive.
And I hope this has gotten you to the point where you can somewhat
understand what's going on, and then, learn the rest of your life.
Okay?
See you.
