As passionate about data science as I am, I love databases. My first contact with them was in a course in my third year of university, where we learned to create and manage databases with MySQL.
As passionate about data science as I am, I love databases. My first contact with them was in a course in my third year of university, where we learned to create and manage databases with MySQL. I learned a lot, and all that knowledge has been very useful for me these last years. However, SQL syntax can be easy to forget. In order to avoid spending more time googling how to do this or that than actually doing it, I preferred to make a little cheat sheet, which I want to share with you today.
The first step to start working with a MySQL database is to connect to it. From a terminal window, type:
mysql [-h machine] -u <user> -p [db_name]
If the server and the client are running on the same machine, the
-h flag is not needed.
db_name is also optional, since as we’ll see now, you can create or change the current database with a single command.
Once connected to the server, there are some interesting commands we can run at any moment from the shell:
\T: prints all the output into a text file
\s: prints some info about the MySQL server
\c: removes the current sentence
\.somefile.sql: runs all the SQL sentences stored into a file
help: shows the manual pages
create table: shows manual page about the
\qfinishes connection with the MySQL server
SQL stands for Structured Query Language. SQL is a scripting language expected to store, control, and inquiry information put away in social databases. The main manifestation of SQL showed up in 1974, when a gathering in IBM built up the principal model of a social database. The primary business social database was discharged by Relational Software later turning out to be Oracle.
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