Contenido del Curso
Data Manipulation using SQL
Data Manipulation using SQL
SQL Inner Join
JOIN operator makes combining the records into two tables based on the related column between them. For example, we want to join singers
and songs
columns in some way. These tables have the same column: singer_id
in songs and id
in singers. We join them by this column, and now records are rearranged into groups by this id
.
JOIN
can be applied for multiple tables, and the syntax is:
--do not run this query SELECT columns FROM table1 INNER JOIN table2 ON table1.col1 = table2.col2 WHERE conditions GROUP BY columns HAVING agg_condition ORDER BY columns
JOIN
is an alternative to nested queries. Let's look at the following example, find all songs released between 1970 and 1990:
SELECT songs.title FROM albums INNER JOIN songs ON songs.album_id = albums.id WHERE year>=1970 AND year<=1990
This diagram shows how INNER JOIN works. Chosen columns albums_id
and id
are joined, and only id
s present in both columns appear in the result query. Intersection of sets (1, 2, 3) and (1, 2, 4, 2) is a (1, 2, 2).
This way, we avoid using nested queries. Using Joins
is a common practice, and in the next chapters, we'll learn other types, except INNER JOIN
.
Tarea
Write the query to find all songs created by AC/DC. Print song's title (title
) and singer (naming
) to the console.
¡Gracias por tus comentarios!
SQL Inner Join
JOIN operator makes combining the records into two tables based on the related column between them. For example, we want to join singers
and songs
columns in some way. These tables have the same column: singer_id
in songs and id
in singers. We join them by this column, and now records are rearranged into groups by this id
.
JOIN
can be applied for multiple tables, and the syntax is:
--do not run this query SELECT columns FROM table1 INNER JOIN table2 ON table1.col1 = table2.col2 WHERE conditions GROUP BY columns HAVING agg_condition ORDER BY columns
JOIN
is an alternative to nested queries. Let's look at the following example, find all songs released between 1970 and 1990:
SELECT songs.title FROM albums INNER JOIN songs ON songs.album_id = albums.id WHERE year>=1970 AND year<=1990
This diagram shows how INNER JOIN works. Chosen columns albums_id
and id
are joined, and only id
s present in both columns appear in the result query. Intersection of sets (1, 2, 3) and (1, 2, 4, 2) is a (1, 2, 2).
This way, we avoid using nested queries. Using Joins
is a common practice, and in the next chapters, we'll learn other types, except INNER JOIN
.
Tarea
Write the query to find all songs created by AC/DC. Print song's title (title
) and singer (naming
) to the console.
¡Gracias por tus comentarios!
SQL Inner Join
JOIN operator makes combining the records into two tables based on the related column between them. For example, we want to join singers
and songs
columns in some way. These tables have the same column: singer_id
in songs and id
in singers. We join them by this column, and now records are rearranged into groups by this id
.
JOIN
can be applied for multiple tables, and the syntax is:
--do not run this query SELECT columns FROM table1 INNER JOIN table2 ON table1.col1 = table2.col2 WHERE conditions GROUP BY columns HAVING agg_condition ORDER BY columns
JOIN
is an alternative to nested queries. Let's look at the following example, find all songs released between 1970 and 1990:
SELECT songs.title FROM albums INNER JOIN songs ON songs.album_id = albums.id WHERE year>=1970 AND year<=1990
This diagram shows how INNER JOIN works. Chosen columns albums_id
and id
are joined, and only id
s present in both columns appear in the result query. Intersection of sets (1, 2, 3) and (1, 2, 4, 2) is a (1, 2, 2).
This way, we avoid using nested queries. Using Joins
is a common practice, and in the next chapters, we'll learn other types, except INNER JOIN
.
Tarea
Write the query to find all songs created by AC/DC. Print song's title (title
) and singer (naming
) to the console.
¡Gracias por tus comentarios!
JOIN operator makes combining the records into two tables based on the related column between them. For example, we want to join singers
and songs
columns in some way. These tables have the same column: singer_id
in songs and id
in singers. We join them by this column, and now records are rearranged into groups by this id
.
JOIN
can be applied for multiple tables, and the syntax is:
--do not run this query SELECT columns FROM table1 INNER JOIN table2 ON table1.col1 = table2.col2 WHERE conditions GROUP BY columns HAVING agg_condition ORDER BY columns
JOIN
is an alternative to nested queries. Let's look at the following example, find all songs released between 1970 and 1990:
SELECT songs.title FROM albums INNER JOIN songs ON songs.album_id = albums.id WHERE year>=1970 AND year<=1990
This diagram shows how INNER JOIN works. Chosen columns albums_id
and id
are joined, and only id
s present in both columns appear in the result query. Intersection of sets (1, 2, 3) and (1, 2, 4, 2) is a (1, 2, 2).
This way, we avoid using nested queries. Using Joins
is a common practice, and in the next chapters, we'll learn other types, except INNER JOIN
.
Tarea
Write the query to find all songs created by AC/DC. Print song's title (title
) and singer (naming
) to the console.