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Just in case you are using an SQL implementation that lacks support for natural joins, here is the previous query rewritten using the JOIN and ON keywords:
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SELECT A.MOVIE_ID, B.MOVIE_GENRE_DESCRIPTION AS GENRE, C.MPAA_RATING_CODE AS RATING, C.MPAA_RATING_DESCRIPTION AS RATING_DESC FROM MOVIE A JOIN MOVIE_GENRE B ON A.MOVIE_GENRE_CODE = B.MOVIE_GENRE_CODE JOIN MPAA_RATING C ON A.MPAA_RATING_CODE = C.MPAA_RATING_CODE WHERE MOVIE_ID < 6 ORDER BY MOVIE_ID;
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All of the joins we have looked at so far are exclusive joins (a term I like a lot better than inner joins), meaning that the only rows that appear in the result set are ones where a match was found in all the tables being joined. However, there are times when you want unmatched rows included in the query results. For example, what if the manager of the video store wanted a listing of all movie genres and any movie titles that are assigned to each one It was business users in need of solutions to problems such as this one who demanded (and eventually got) a solution from the database vendors. An outer join (which might be better named an inclusive join) includes unmatched rows from at least one of the tables in the query results. When there are unmatched rows, any data values selected from the table where a matching row was not found are set to null. There are basically three types: Left outer join Returns all rows in the left-hand table (the one named rst, or leftmost in the JOIN clause) along with any rows in the right-hand table that can be matched.
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Right outer join Returns all rows in the right-hand table (the one named second, or rightmost in the JOIN clause) along with any rows in the left-hand table that can be matched. Essentially, a left outer join may be rewritten as a right outer join simply by reversing the order of the table names and changing the keyword LEFT to RIGHT. Full outer join Returns all rows from both tables. This join is the least likely to be supported by your SQL implementation because the standard syntax for it is newer than the other two. It is essential to understand that this is not the same as a Cartesian product, which joins every row in one table with every row in the other. A full outer join joins each row in one table with zero to many matching rows in the other table. In reality, you won t nd an occasion to use a full outer join very often, but it can come in handy if there is a relationship between two tables that is optional in both directions. The general syntax for an outer join is
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table_name {RIGHT | LEFT| FULL} [OUTER] JOIN table_name { ON condition | USING (column_name [,column_name]) }
Here are some examples of outer joins: Listing of all movie genre descriptions, along with any movies that are assigned to each genre. Note the rows in the result set that have no value for MOVIE_TITLE these are the movie genres that have no movies assigned to them. If your DBMS implementation does not support a join with the USING keyword, just change the statement so it uses the ON keyword as shown in the example following this one.
SELECT MOVIE_GENRE_DESCRIPTION AS GENRE, MOVIE_TITLE FROM MOVIE_GENRE LEFT OUTER JOIN MOVIE USING (MOVIE_GENRE_CODE); GENRE ----------------------------Action and Adventure Action and Adventure Action and Adventure Action and Adventure Action and Adventure Action and Adventure Action and Adventure MOVIE_TITLE ------------------------Kill Bill: Vol. 1 Man on Fire Pirates of the Caribbean: Master and Commander: The The Day After Tomorrow The Last Samurai The Italian Job
Anime and Animation Children and Family Classics Comedy Comedy Comedy Comedy Documentary Drama Drama Drama Drama Drama Drama Foreign Horror Independent Music and Musicals Romance Romance Science Fiction and Fantasy Special Interest Sports Thrillers 31 rows selected.
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