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Dispatch time is hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely. Book Description Paperback. Seller Inventory mon Seller Inventory GB This is a friendly and easy-to-read guide to writing queries with the all-important - in the database world - SQL language. Dimension: x x Weight in Grams: Seller Inventory V Clare Churcher.
Publisher: Apress , This specific ISBN edition is currently not available. View all copies of this ISBN edition:. Synopsis About this title Anyone who does any work at all with databases needs to know something of SQL. From the Back Cover : Get started on mastering the one language binding the entire database industry.
Write simple queries to extract data from a single table Combine data from many tables into one business result using set operations Translate natural language questions into database queries providing meaningful information to the business Avoid errors associated with duplicated and null values Summarize data with amazing ease using the newly-added feature of window functions Tackle tricky queries with confidence that you are generating correct results Investigate and understand the effects of indexes on the efficiency of queries About the Author : Clare Churcher B.
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Apress, Softcover. Search for all books with this author and title. Customers who bought this item also bought. We can describe the members we want returned like this: Find all the rows m from the Member table where if we count the number of rows e from the Entry table for that member m. This turns into SQL in a straightforward way, as shown in Listing How do we find the average number of tournaments entered by members? Your first thought might be to use the AVG function, but what are we trying to average?
We want to count the number of tournaments for each member and then average those counts.
We can use grouping, as described in the previous section, to find the numbers of tour- naments entered by each member. I have included an AS clause so we can refer to the column with the counts in it. Finding the number of entries for each member Now we want to find the average of the column CountEntries. As a first try, it seems reasonable to use the SQL statement in Listing We put the grouped count Listing as the inner part of a nested query, and then attempt to find the average. Listing works fine in Access but not in some other implementations of SQL.
We encountered derived tables in the previous chapter, when we wanted to join a table with the result of a union. We could create this as a separate view, but if we want to use it only in this context, we can use a derived table. We do this simply by adding a name for this virtual table after the parentheses.
Beginning SQL Queries
In Listing , I have called the derived table CountTable for want of a better name. It appears in bold in the listing. Broad appeal — Developers, web designers, database administrators, even power users working with Microsoft Access need to know something of SQL Clarity — Author's previous book, Beginning Database Design, has established her as someone who writes with exceptional clarity about database topics Succinctness — Beginning Queries with SQL does not waste readers' time. It covers the ground in far fewer pages than do competing books see more benefits.
Buy eBook. Buy Softcover. FAQ Policy. About this book Get started on mastering the one language binding the entire database industry.
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What You Will Learn Write simple queries to extract data from a single table Combine data from many tables into one business result using set operations Translate natural language questions into database queries providing meaningful information to the business Avoid errors associated with duplicated and null values Summarize data with amazing ease using the newly-added feature of window functions Tackle tricky queries with confidence that you are generating correct results Investigate and understand the effects of indexes on the efficiency of queries Who This Book Is For Beginning SQL Queries, 2nd Edition is aimed at intelligent laypeople who need to extract information from a database, and at developers and other IT professionals who are new to SQL.
The book is especially useful for business intelligence analysts who must ask more complex questions of their database than their GUI—based reporting software supports. Such people might be business owners wanting to target specific customers, scientists and students needing to extract subsets of their research data, or end users wanting to make the best use of databases for their clubs and societies.
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