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SQL Pocket Guide: A Guide to SQL Usage

SQL Pocket Guide: A Guide to SQL Usage

SQL Pocket Guide: A Guide to SQL Usage
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SQL Pocket Guide: A Guide to SQL Usage Paperback - 2010

by Gennick, Jonathan

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O'Reilly Media. 3. Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
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Details

  • Title SQL Pocket Guide: A Guide to SQL Usage
  • Author Gennick, Jonathan
  • Binding Paperback
  • Edition 3
  • Condition Used - Very good
  • Pages 204
  • Volumes 1
  • Language ENG
  • Publisher O'Reilly Media
  • Publication date 2010-12
  • Bookseller's Inventory # 1449394094-11-1
  • ISBN 9781449394097 / 1449394094
  • Weight 0.35 lbs (0.16 kg)
  • Dimensions 7 x 4.25 x 0.48 in (17.78 x 10.80 x 1.22 cm)
  • Category Computers - Languages / Programming
  • Library of Congress subjects Database management, Relational databases
  • Dewey Decimal Code 005.756
  • Quantity available 1

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Reader reviews for SQL Pocket Guide: A Guide to SQL Usage

From the publisher

If you're a programmer or database administrator who uses SQL in your day-to-day work, this popular pocket guide is the ideal on-the-job reference. You'll find many examples that address the language's complexity, along with key aspects of SQL used in IBM DB2 Release 9.7, MySQL 5.1, Oracle Database 11g Release 2, PostgreSQL 9.0, and Microsoft SQL Server 2008 Release 2.

SQL Pocket Guide describes how these database systems implement SQL syntax for querying, managing transactions, and making changes to data. It also shows how the systems use SQL functions, regular expression syntax, and type conversion functions and formats.

All example SQL statements in this book execute against a set of tables, with data that you can quickly download. The third edition covers important database changes, including:

  • Oracle's support of the recursive WITH syntax, and addition of PIVOT and UNPIVOT operators
  • Functions new to Oracle, such as LISTAGG, NTH_VALUE, and more
  • PostgreSQL s support of recursive WITH and some window functions
  • DB2 syntax and datatypes, some compatible with Oracle
  • MySQL features such as the TIMESTAMP type and the TO_SECONDS function
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