pre-view/CS50-raw · Datasets at Hugging Face

text stringlengths 1 81	start float64 0 10.1k	duration float64 0 24.9
So let's try doing that here, taking a CSV like this	1,354.17	3.56
and adding it to our database.	1,357.73	2.88
I'll come back to my computer.	1,360.61	1.99
And at this point, I want to start over.	1,362.6	3.27
Let's say, I didn't use [? insert ?] at all.	1,365.87	2.72
I actually got a CSV from the MFA of all the items in our collection.	1,368.59	3.97
So I'll type .quit to leave this database.	1,372.56	2.78
And now, I'll type rm mfa.db to remove this file all together.	1,375.34	5.7
Now, let me show you mfa.csv, the CSV file I have that looks exactly	1,381.04	6.03
like what we just saw.	1,387.07	1.41
I'll type code mfa.csv.	1,388.48	2.82
And now I can indeed see, I have an iD column, a title	1,391.3	4.14
column, and accession_number, and the date these pieces were	1,395.44	3.39
acquired all separated by commas.	1,398.83	3.76
So let's say I want to quickly import this data into its very own database	1,402.59	5.69
to run [? SQL ?] [? queries ?] on it.	1,408.28	1.77
As it stands, I can't use [? SQL ?] [? queries ?] on this table	1,410.05	3.15
because it's not inside of a SQLite database.	1,413.2	2.91
But let me add one.	1,416.11	1.26
I'll type SQLite3 mfa.db to remake [? MFA ?] down below.	1,417.37	6.1
Let me now introduce this new command that is not a SQL keyword,	1,423.47	4.55
but is actually a SQLite command.	1,428.02	2.38
And this command is called .import.	1,430.4	3.77
.import lets you take a file, like a CSV,	1,434.17	3.39
and automatically insert it row by row into a table of your own making or one	1,437.56	6.45
you can let SQLite create for you.	1,444.01	2.58
Let's actually create the table ourselves,	1,446.59	2.07
and then insert this CSV using .import.	1,448.66	3.42
So I'll go back to SQLite.	1,452.08	1.91
Let me recreate the schema.	1,453.99	1.84
Right now, there's no tables inside this database, but let me create one.	1,455.83	4.66
I'll instead type .read schema.sql to read in that old schema.sql file,	1,460.49	5.75
so I can have my own table here.	1,466.24	2.22
I'll type that schema again.	1,468.46	1.54
And now I see, I have that table back.	1,470	3.15
But if I type SELECT [? star ?] FROM "collections" semicolon,	1,473.15	4.94
nothing is inside.	1,478.09	1.89
Well, I could fix this.	1,479.98	1.09
I could to import this CSV into collections to insert all at once from	1,481.07	5.15
[? its ?] [? own, ?] from the CSV file we have right here.	1,486.22	3.13
So to do this, let me type .import.	1,489.35	3.56
Now before I finish this off, there are a few arguments or options I can give	1,492.91	6.36
.import to make sure it works properly.	1,499.27	3.39
The ones for this look as follows.	1,502.66	2.77
I should type .import, and then [? dash ?] [? dash ?] CSV to say	1,505.43	5.3
I'm importing a CSV.	1,510.73	1.83
If I don't type [? dash ?] [? dash ?] CSV,	1,512.56	3.06
SQLite I might assume something about this file that just isn't true.	1,515.62	3.42
It should know that numbers are here separated by commas,	1,519.04	3.45
[? numbers, ?] or [? values, ?] whatever's inside my table are	1,522.49	2.64
separated by commas.	1,525.13	2.17
And then [? dash ?] [? dash ?] skip 1--	1,527.3	2.54
well, let's take a look.	1,529.84	1.23
If I go back to this file here, let's see.	1,531.07	3.21
I have the first row, the second row, the third row, the fourth row.	1,534.28	4.62
Are there any rows I probably shouldn't insert into my table here?	1,538.9	5.015
Let me ask the audience.	1,543.915	1
You're free to raise your hand.	1,544.915	1.545
Are there any rows I shouldn't insert into this table?	1,546.46	3.315
Let's go to [? Sukanya. ?]	1,552.97	1.35
SPEAKER 5: Yes, I think they shouldn't include the first one,	1,554.32	3.09
because it doesn't give us any value that we need.	1,557.41	2.5
SPEAKER 1: Yeah, you're right.	1,559.91	0.54
So if I look at this header row, as we call it,	1,560.45	2.18
I see id, title, accession_number, and acquired-- the names for my columns.	1,562.63	5.67
But notice in my schema, I already have those column names existing.	1,568.3	4.62
So I shouldn't insert the value id into my "id" column.	1,572.92	4.92
I want to just skip that row and only do the next one.	1,577.84	3.22
So here by typing [? dash ?] [? dash ?] skip 1, I'll skip that header row.	1,581.06	4.82
So let's try this now.	1,585.88	1.02
I'll say .import [? dash ?] [? dash ?] CSV.	1,586.9	2.52
I'm going to import a CSV.	1,589.42	1.874
Now, [? dash ?] [? dash ?] skip, how many rows should I skip?	1,591.294	3.346
Well, just one, the header row there.	1,594.64	2.4
Now, I say the file to import.	1,597.04	2.46
So I'll type mfa.csv, the CSV file to import into my database.	1,599.5	5.46
Now, I type the name of the table I'm importing into,	1,604.96	4.08
collections, in this case.	1,609.04	1.99
And notice how I no longer need to [? quote ?] collections or [? quote ?]	1,611.03	5.03
CSV, because this is not a SQL statement this is a SQLite statement,	1,616.06	5.448
so I can get away with not [? quoting ?] anything here.	1,621.508	2.292
Now, I'll hit Enter.	1,623.8	2.01
And again, nothing seems to happen, but it's probably a good sign.	1,625.81	2.76
Let me try selecting [? star ?] [? from ?] "collections" semicolon,	1,628.57	5.67
Enter.	1,634.24	0.9
And now all my data is just magically in there.	1,635.14	2.82
It's went from my CSV into my very own table.	1,637.96	5.943
OK, so that's a pretty nice step forward.	1,643.903	3.687
No longer do we have to use just single line inserts or even	1,647.59	3.51
bulk inserts, those multi-line inserts.	1,651.1	2.43
We can now just import an entire table from a CSV.	1,653.53	4.26
But I think I've been showing you a bit of an inaccuracy here, at least	1,657.79	4.29
that's not often going to happen to you.	1,662.08	2.4
If I go back to this file here, this CSV.	1,664.48	4.8
What you might notice is that I specified the primary key.	1,669.28	4.2
I said [? id ?] of 1, [? id ?] of 2, [? id ?] of 3.	1,673.48	3.99
But if we'd heard before, this might not be the best design.	1,677.47	3.72
Because what if I import this CSV, and there's already	1,681.19	3.42
an item that has the id of [? 1 ?] or the id of 2.	1,684.61	3.21
Ideally, I could let SQLite create its very own primary keys	1,687.82	4.2

So let's try doing that here, taking a CSV like this

1,354.17

3.56

and adding it to our database.

1,357.73

2.88

I'll come back to my computer.

1,360.61

1.99

And at this point, I want to start over.

1,362.6

3.27

Let's say, I didn't use [? insert ?] at all.

1,365.87

2.72

I actually got a CSV from the MFA of all the items in our collection.

1,368.59

3.97

So I'll type .quit to leave this database.

1,372.56

2.78

And now, I'll type rm mfa.db to remove this file all together.

1,375.34

5.7

Now, let me show you mfa.csv, the CSV file I have that looks exactly

1,381.04

6.03

like what we just saw.

1,387.07

1.41

I'll type code mfa.csv.

1,388.48

2.82

And now I can indeed see, I have an iD column, a title

1,391.3

4.14

column, and accession_number, and the date these pieces were

1,395.44

3.39

acquired all separated by commas.

1,398.83

3.76

So let's say I want to quickly import this data into its very own database

1,402.59

5.69

to run [? SQL ?] [? queries ?] on it.

1,408.28

1.77

As it stands, I can't use [? SQL ?] [? queries ?] on this table

1,410.05

3.15

because it's not inside of a SQLite database.

1,413.2

2.91

But let me add one.

1,416.11

1.26

I'll type SQLite3 mfa.db to remake [? MFA ?] down below.

1,417.37

6.1

Let me now introduce this new command that is not a SQL keyword,

1,423.47

4.55

but is actually a SQLite command.

1,428.02

2.38

And this command is called .import.

1,430.4

3.77

.import lets you take a file, like a CSV,

1,434.17

3.39

and automatically insert it row by row into a table of your own making or one

1,437.56

6.45

you can let SQLite create for you.

1,444.01

2.58

Let's actually create the table ourselves,

1,446.59

2.07

and then insert this CSV using .import.

1,448.66

3.42

So I'll go back to SQLite.

1,452.08

1.91

Let me recreate the schema.

1,453.99

1.84

Right now, there's no tables inside this database, but let me create one.

1,455.83

4.66

I'll instead type .read schema.sql to read in that old schema.sql file,

1,460.49

5.75

so I can have my own table here.

1,466.24

2.22

I'll type that schema again.

1,468.46

1.54

And now I see, I have that table back.

1,470

3.15

But if I type SELECT [? star ?] FROM "collections" semicolon,

1,473.15

4.94

nothing is inside.

1,478.09

1.89

Well, I could fix this.

1,479.98

1.09

I could to import this CSV into collections to insert all at once from

1,481.07

5.15

[? its ?] [? own, ?] from the CSV file we have right here.

1,486.22

3.13

So to do this, let me type .import.

1,489.35

3.56

Now before I finish this off, there are a few arguments or options I can give

1,492.91

6.36

.import to make sure it works properly.

1,499.27

3.39

The ones for this look as follows.

1,502.66

2.77

I should type .import, and then [? dash ?] [? dash ?] CSV to say

1,505.43

5.3

I'm importing a CSV.

1,510.73

1.83

If I don't type [? dash ?] [? dash ?] CSV,

1,512.56

3.06

SQLite I might assume something about this file that just isn't true.

1,515.62

3.42

It should know that numbers are here separated by commas,

1,519.04

3.45

[? numbers, ?] or [? values, ?] whatever's inside my table are

1,522.49

2.64

separated by commas.

1,525.13

2.17

And then [? dash ?] [? dash ?] skip 1--

1,527.3

2.54

well, let's take a look.

1,529.84

1.23

If I go back to this file here, let's see.

1,531.07

3.21

I have the first row, the second row, the third row, the fourth row.

1,534.28

4.62

Are there any rows I probably shouldn't insert into my table here?

1,538.9

5.015

Let me ask the audience.

1,543.915

1

You're free to raise your hand.

1,544.915

1.545

Are there any rows I shouldn't insert into this table?

1,546.46

3.315

Let's go to [? Sukanya. ?]

1,552.97

1.35

SPEAKER 5: Yes, I think they shouldn't include the first one,

1,554.32

3.09

because it doesn't give us any value that we need.

1,557.41

2.5

SPEAKER 1: Yeah, you're right.

1,559.91

0.54

So if I look at this header row, as we call it,

1,560.45

2.18

I see id, title, accession_number, and acquired-- the names for my columns.

1,562.63

5.67

But notice in my schema, I already have those column names existing.

1,568.3

4.62

So I shouldn't insert the value id into my "id" column.

1,572.92

4.92

I want to just skip that row and only do the next one.

1,577.84

3.22

So here by typing [? dash ?] [? dash ?] skip 1, I'll skip that header row.

1,581.06

4.82

So let's try this now.

1,585.88

1.02

I'll say .import [? dash ?] [? dash ?] CSV.

1,586.9

2.52

I'm going to import a CSV.

1,589.42

1.874

Now, [? dash ?] [? dash ?] skip, how many rows should I skip?

1,591.294

3.346

Well, just one, the header row there.

1,594.64

2.4

Now, I say the file to import.

1,597.04

2.46

So I'll type mfa.csv, the CSV file to import into my database.

1,599.5

5.46

Now, I type the name of the table I'm importing into,

1,604.96

4.08

collections, in this case.

1,609.04

1.99

And notice how I no longer need to [? quote ?] collections or [? quote ?]

1,611.03

5.03

CSV, because this is not a SQL statement this is a SQLite statement,

1,616.06

5.448

so I can get away with not [? quoting ?] anything here.

1,621.508

2.292

Now, I'll hit Enter.

1,623.8

2.01

And again, nothing seems to happen, but it's probably a good sign.

1,625.81

2.76

Let me try selecting [? star ?] [? from ?] "collections" semicolon,

1,628.57

5.67

Enter.

1,634.24

0.9

And now all my data is just magically in there.

1,635.14

2.82

It's went from my CSV into my very own table.

1,637.96

5.943

OK, so that's a pretty nice step forward.

1,643.903

3.687

No longer do we have to use just single line inserts or even

1,647.59

3.51

bulk inserts, those multi-line inserts.

1,651.1

2.43

We can now just import an entire table from a CSV.

1,653.53

4.26

But I think I've been showing you a bit of an inaccuracy here, at least

1,657.79

4.29

that's not often going to happen to you.

1,662.08

2.4

If I go back to this file here, this CSV.

1,664.48

4.8

What you might notice is that I specified the primary key.

1,669.28

4.2

I said [? id ?] of 1, [? id ?] of 2, [? id ?] of 3.

1,673.48

3.99

But if we'd heard before, this might not be the best design.

1,677.47

3.72

Because what if I import this CSV, and there's already

1,681.19

3.42

an item that has the id of [? 1 ?] or the id of 2.

1,684.61

3.21

Ideally, I could let SQLite create its very own primary keys

1,687.82

4.2