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By Vlad Mihalcea
This booklet is a trip into Java facts entry functionality tuning. From connection administration, to batch updates, fetch sizes and concurrency keep watch over mechanisms, it unravels the internal workings of the most typical Java facts entry frameworks.
The first half goals to lessen the distance among software builders and database directors. therefore, it covers either JDBC and the database basics which are of paramount significance whilst lowering transaction reaction times.
The moment half demonstrates how one can make the most of JPA and Hibernate with out compromising software performance.
The 3rd half is devoted to jOOQ and its robust type-safe querying services, like window capabilities or universal desk expressions.
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starting Android four is an replace to starting Android three, initially written by way of Mark Murphy. it's your first step at the route to growing marketable apps for the burgeoning Android industry, Amazon's Android Appstore, and extra. Google’s Android operating-system has taken the by way of typhoon, going from its humble beginnings as a cellphone working method to its present prestige as a platform for apps that run throughout a gamut of units from telephones to drugs to netbooks to televisions, and the checklist is certain to develop.
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desk of Contents * the massive photograph
* tips to start
* Your First Android undertaking
* analyzing Your First undertaking
* a piece approximately Eclipse
* improving Your First undertaking
* Rewriting Your First undertaking
* utilizing XML-Based Layouts
* applying easy Widgets
* operating with boxes
* The enter approach Framework
* utilizing choice Widgets
* Getting Fancy with Lists
* nonetheless extra Widgets and boxes
* Embedding the WebKit Browser
* utilising Menus
* exhibiting Pop-up Messages
* dealing with task Lifecycle occasions
* dealing with Rotation
* facing Threads
* growing reason Filters
* Launching actions and Sub-Activities
* operating with assets
* Defining and utilizing types
* dealing with a number of display Sizes
* Introducing the Honeycomb UI
* utilizing the motion Bar
* Fragments
* dealing with Platform adjustments
* gaining access to documents
* utilizing personal tastes
* coping with and having access to neighborhood Databases
* Leveraging Java Libraries
* speaking through the net
* companies: the speculation
* simple provider styles
* Alerting clients through Notifications
* soliciting for and Requiring Permissions
* getting access to Location-Based prone
* Mapping with MapView and MapActivity
* dealing with mobilephone Calls
* Fonts
* extra improvement instruments
* The function of different Environments
* HTML5
* PhoneGap
* different substitute Environments
* facing units
* the place can we pass from right here?
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Extra info for High-Performance Java Persistence
Example text
This way, the developer doesn’t have to provide a monotonically incrementing primary key since the database takes care of this upon inserting a new record. As convenient as this practice may be, it’s important to know that auto-generated database identifiers might conflict with the batch insert process. Like many other database features, setting the auto incremented identifier strategy is database specific but basically the choice goes between an identity column or a database sequence generator.
A PreparedStatement is always associated with a single SQL statement, and bind parameters are used to vary the runtime execution context. Because PreparedStatement(s) take the SQL query at creation time, the database can precompile the associated SQL statement prior to executing it. 51 Statement Caching During the precompilation phase, the database validates the SQL statement and parses it into a syntax tree. When it comes to executing the PreparedStatement, the driver sends the actual parameter values, and the database can jump to compiling and running the actual execution plan.
The following test calculates the number of queries a database engine can execute within one minute time span. To better emulate a non-trivial execution plan, the test executes a statement combining both table joining as well as query nesting. id AND version = ? ) Running it on four different database systems, the following throughput numbers are collected. 18% Most database systems can clearly benefit from reusing statements and, in some particular use cases, Statement Caching 50 the performance gain is quite substantial.