Mastering PyCharm Transcripts
Lecture: Querying data in the SQL console
0:01 Now that we have an understanding of our data from the visualizations,
0:04 let's talk about querying it, let's focus just on the album, pick any real table.
0:08 So we saw that we can expand it and see what it's made of,
0:13 we could right click and say jump to console
0:16 so this is going to open up a way in which we can
0:19 run queries against any of the tables
0:21 so let's write a real simple one, select * from, hit space, watch this
0:26 I love it, so that album, we got track
0:30 and it also gives us like group by and whatnot
0:33 we're going to say select * from album
0:36 and that's probably what you want to do to just see the data
0:38 but maybe you'll ask, some way you want to order it
0:40 so you could say order by, or you could say where, name, now look at this,
0:46 this is auto completion inside the table schema, that's pretty awesome
0:50 we could say name is LIKE --it's like a substring search-- snake
0:57 one of the albums has snake in its name, so let's go and run this
1:01 and down here, you can see we get our one output Year of The Snake
1:05 because the name has snake in it.
1:07 Now, let's take away this, this where clause,
1:10 because while it's great, it doesn't show us all the data.
1:12 Here you can see we get just all the pieces
1:15 and is really cool at the top like hey look prices index
1:19 you can tell that right from the column right there
1:22 this sort of visual tells you whether you are going to do a query
1:26 based on an index or you are going to do it just—
1:29 has preview there is no index, so that might be super slow if you had lots of data,
1:33 it didn't really matter if you have like two records.
1:36 Now we can also use this to modify data
1:38 but it's not 100% obvious like let's change the price here
1:42 run it again, see the price is 9.99
1:45 we come over here and let's say we want this to be 19.99
1:48 so I double clicked it and I hit enter, awesome, let's run it again,
1:51 it's 9.99 again, what's wrong with this thing, it's broken.
1:55 Not really. So you can edit this data, we can go down here like check has preview,
2:00 things like that, but unless we push this button,
2:04 save changes back to the database, nothing's going to happen;
2:08 but if I do, notice little grayness and whatnot of those elements went away,
2:15 run it again now that changes are sticking.
2:17 That's pretty awesome isn't it?
2:20 Come over here you can actually see what's running
2:24 select * like, so you can see these down here,
2:28 that pretty cool this little output there, we've got to change this,
2:31 now the final thing to look at over here on the right,
2:33 this is actually pretty powerful, so see this tab here
2:37 so we get tab separated, what does this mean,
2:40 there's all these different things we can get out of here,
2:43 I could get comma separated values sort of export this as that,
2:48 I could go over here and actually say, I would like the sql statements
2:54 that will insert these records into the database, check this out.
2:58 Now to make anything interesting happen, we have to press this button
3:02 and you could save it to a file probably you will do that a lot,
3:05 but I'm just going to do the clipboard.
3:08 Now I'll just dump those up here, like so
3:12 and notice, insert into album id such and such, such and such
3:17 values— what they are, right
3:22 this actually generates the statements that we would need
3:26 if we wanted to take that data and reinsert it into another database,
3:29 what else over here, we have updates, we have html table,
3:33 all sorts of cool stuff that we can do.
3:36 Now, the DDL is data definition/description language,
3:40 if we click this, it's actually going to show us
3:43 the sql script that we would need to run to recreate exactly what this table is
3:48 so what the columns are, what types they are,
3:51 whether they are nullable, whether they are primary keys,
3:54 as well as the uniqueness constraints and indexes and all that stuff.
3:59 So if you want to generate it, DDL, that's a pretty awesome feature as well,
4:04 so you can really do a lot of stuff with scripts over here
4:07 and also if we wanted to do comma separated values
4:09 we could do that to a clipboard and just put it like so,
4:13 now we have csv version rather than insert version of the data.