By Jan L. Harrington
ISBN-10: 0123756979
ISBN-13: 9780123756978
SQL essentially defined, third version information the discharge of the SQL normal (SQL:2008), together with units of extensions to help object-relational databases and XML. NEW chapters comprise insurance of the relational info version, relational algebra, SQL object-relational help, triggers and saved approaches, in addition to XML. This elevated version is full of guidance, methods and different very important details for operating with SQL. Demonstrates find out how to formulate SQL queries and the way queries are processed to maximise functionality of the database administration procedure Explains use of SQL to go into, alter or delete facts to keep up database structural parts Covers in nice element new SQL program for XML to satisfy the transforming into XML utilization in improvement of on-line content material
Read or Download SQL Clearly Explained, Third Edition (The Morgan Kaufmann Series in Data Management Systems) PDF
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Additional info for SQL Clearly Explained, Third Edition (The Morgan Kaufmann Series in Data Management Systems)
Example text
An em7 | 12: :00 09 ployee of the rare book store, for example, might want to see the names of all customers along with the books ordered in the last week. An inner join of customer to sale would eliminate those customers who had not purchased anything during the previous week. However, an outer join will include all customers, placing nulls in the sale data columns for the customers who have not ordered. An outer join therefore not only shows you matching data but also tells you where matching data do not exist.
If you cannot find a matching A part, then you toss the unmatched B part into the bin that holds unmatched B parts. You repeat this process until the B bin is empty. Any unmatched A parts will be left in their original location. Note: You could just as easily have started with the bin containing the A parts. The contents of the bin holding the completed assemblies will be the same. 40 Chapter 2: Relational Algebra As you might guess, the A bins and B bins are analogous to tables that have a primary to foreign key relationships.
Assuming that you are performing an outer join on two tables that have a primary key–foreign key relationship, then the result of left and right outer joins on those tables is predictable (see Table 2-1). 00 13 | Peter | Johnson | null | null | null | null 14 | Peter | Johnson | null | null | null | null 15 | John | Smith | null | null | null | null Join 53 54 Chapter 2: Relational Algebra Table 2-1 The effect of left and right outer joins on tables with a primary key–foreign key relationship Outer Join Format primary_key_table LEFT OUTER JOIN foreign_key_table foreign_key_table LEFT OUTER JOIN primary_key_table primary_key_table RIGHT OUTER JOIN foreign_key_table foreign_key_table RIGHT OUTER JOIN primary_key_table Outer Join Result All rows from primary key table retained Same as inner join Same as inner join All rows from primary key table retained foreign key will ever be omitted from a join with the table that contains the referenced primary key.
SQL Clearly Explained, Third Edition (The Morgan Kaufmann Series in Data Management Systems) by Jan L. Harrington
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