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Top timeout books mentioned on stackoverflow.com

Java concurrency in practice

Brian Goetz, Tim Peierls

Provides information on building concurrent applications using Java.

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TCP/IP Illustrated: The protocols

W. Richard Stevens, Gary R. Wright

This book's innovative approach helps readers at all levels to truly understand how TCP/IP really works. Rather than just describing what the RFCs say the protocol suite should do, TCP/IP Illustrated uses a popular diagnostic tool so you can actually watch the protocols in action. By forcing certain conditions to occur (connection establishment, timeout and retransmission, fragmentation, etc.) and watching the results, Rich Stevens provides insight into how the protocols work, and why certain design decisions were made. Written in his well-known style with lots of examples, Stevens shows how current, popular TCP/IP implementations operate (SunOS 4.1.3, Solaris 2.2, System V Release 4, BSD/386, AIX 3.2.2, and 4.4 BSD), and relates these real-world implementations to the RFC standards.

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Concurrent Programming in Java

Douglas Lea

Software -- Programming Languages.

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Microsoft SQL Server 2014 Query Tuning & Optimization

Benjamin Nevarez

Optimize Microsoft SQL Server 2014 queries and applications Microsoft SQL Server 2014 Query Tuning & Optimization is filled with ready-to-use techniques for creating high-performance queries and applications. The book describes the inner workings of the query processor so you can write better queries and provide the query processor with the quality information it needs to produce efficient execution plans. You’ll also get tips for troubleshooting underperforming queries. In-Memory OLTP (Hekaton), a key new feature of SQL Server 2014, is fully covered in this practical guide. Understand how the query optimizer works Troubleshoot queries using extended events, SQL trace, dynamic management views (DMVs), the data collector, and other tools Work with query operators for data access, joins, aggregations, parallelism, and updates Speed up queries and dramatically improve application performance by creating the right indexes Understand statistics and how to detect and fix cardinality estimation errors Maximize OLTP query performance using In-Memory OLTP (Hekaton) features, including memory-optimized tables and natively compiled stored procedures Monitor and promote plan caching and reuse to improve application performance Improve the performance of data warehouse queries using columnstore indexes Handle query processor limitations with hints and other methods

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