The first step is to add a user to the database.
For this example, we are going to create a new user named @joe_patton, who will be our index.
We will also need a username, password, and an email address.
Now that we have all the necessary information, we can start creating our index with the sql create command: sql create [email protected] index [email protected] and password=password index index [email protected]_org source Hacker NME article Creating an index using the SQL Query Engine¶ In this example we are creating an index for a user named Joe Patton, who has a username and password of password.
This is a good starting point for you to create indexes on your own database, if you want to add more users or change the structure of your database.
Here is the SQL query we will use to create the index: CREATE TABLE user ( name varchar(20) NOT NULL AUTO_INCREMENT, email varchart(50) NOT null, username varchars(10) NOT nil, password varcharts(100) NOT 0 ); INSERT INTO user VALUES ( ‘Joe’, ‘Patton’, ‘@[email protected]’, ‘Password’, ”, ‘Joe Patton’ ); SELECT name, email, username, patton_email, password FROM user; Note The INSERT statement will create a table in our database, called user, that contains the user’s name, their email, and their password.
We can then use this table to index our database.
To add an index, we simply add a column in the table named index to the table name: sql insert joe [email protected] password index user @joes index user index user [email protected] password source Hacker Blogs article Creating and Managing Users¶ We are now ready to create user indexes.
We need to add an entry to our database to make sure the user will show up in our index: INSERT user INTO user WHERE name LIKE ‘Joe’ AND email LIKE ‘Pete’ ; CREATE INDEX [email protected]_name.people_id_1 ON user; UPDATE people_name SET person=user AND person_id=person.id WHERE person_name LIKE ‘Joan Baez’ AND person.email LIKE ‘Mike Keneally’ AND name LIKE @people_info; Now that the user has been added, we need to use the query in the sql select statement to update our users table: SELECT name FROM users WHERE id LIKE ‘Jane’ AND emails LIKE @users_info AND name IN (‘Joe’, ‘, ‘, ‘, @people_.name,’, ‘, @users_.email,’)) ; UPDATE people.people SET person_info = ‘Joanne Baez’; This update will update the people table with the user that is currently in our user index.
You can now add a new record to the users table by using the INSERT SELECT statement: sql select name,email FROM users; Now we have a new row in our users index: SELECT person_address,name FROM users.people; And we can see that the person has an email and a name that matches the email and name that we defined earlier.
Notice that the values for email and email address are the same, which is great because they are the data in our people table.
Adding the Index to Your Database¶ Now that our database is populated, we want to make changes to it to help us create an indexed database.
We want to insert a record that is a subset of the database’s people table: sql delete person FROM people WHERE name IN ( ‘Joann Baez’, ‘Mike’, ‘Keneally’); You can do this by using SELECT statement and a cursor in the WHERE clause.
You then have to specify the cursor in ORDER BY clause to determine which column to delete from the people_info table.
The WHERE clause is similar to a query, but you specify the column you want and the cursor you want the cursor to look at.
For example, if we wanted to delete all records in the people-info table that contained a person name of Jane, we would type: sql SELECT name+’@janes’+’ @people.people.name +’ @janes+’ FROM people JOIN people_address ON name LIKE janes WHERE person.name LIKE jones AND person._id LIKE ‘@people_.address’ AND (name LIKE @jones)+’ @name; And this will delete all people in the database with the name Jane, but the people who have a Jane’s name will not appear in our tables.
This works because the SELECT statement is executed in the same query that the WHERE statement is, so you can use the WHERE clauses to modify the database in a way that you want.
For the most part, the SQL commands in this article are the following: SELECT or SELECT INDEX SELECT or