Microsoft SQL Server 2012 High Performance T-SQL Using Window Functions
- نوع فایل : کتاب
- زبان : انگلیسی
- نویسنده : Itzik Ben-Gan
- چاپ و سال / کشور: 2012
- تعداد صفحه : 244
- شابک / ISBN : 0735658366
Description
Apply powerful window functions in T-SQL—and increase the performance and speed of your queries
Optimize your queries—and obtain simple and elegant solutions to a variety of problems—using window functions in Transact-SQL. Led by T-SQL expert Itzik Ben-Gan, you’ll learn how to apply calculations against sets of rows in a flexible, clear, and efficient manner. Ideal whether you’re a database administrator or developer, this practical guide demonstrates ways to use more than a dozen T-SQL querying solutions to address common business tasks.
Discover how to:
Go beyond traditional query approaches to express set calculations more efficiently
Delve into ordered set functions such as rank, distribution, and offset
Implement hypothetical set and inverse distribution functions in standard SQL
Use strategies for improving sequencing, paging, filtering, and pivoting
Increase query speed using partitioning, ordering, and coverage indexing
Apply new optimization iterators such as Window Spool
Handle common issues such as running totals, intervals, medians, and gaps
Optimize your queries—and obtain simple and elegant solutions to a variety of problems—using window functions in Transact-SQL. Led by T-SQL expert Itzik Ben-Gan, you’ll learn how to apply calculations against sets of rows in a flexible, clear, and efficient manner. Ideal whether you’re a database administrator or developer, this practical guide demonstrates ways to use more than a dozen T-SQL querying solutions to address common business tasks.
Discover how to:
Go beyond traditional query approaches to express set calculations more efficiently
Delve into ordered set functions such as rank, distribution, and offset
Implement hypothetical set and inverse distribution functions in standard SQL
Use strategies for improving sequencing, paging, filtering, and pivoting
Increase query speed using partitioning, ordering, and coverage indexing
Apply new optimization iterators such as Window Spool
Handle common issues such as running totals, intervals, medians, and gaps
