Always-commit approach took 28761 ms Single-commit approach took 9905 ms in Java

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Once again, we see that explicit control is preferable Sure, it means more code, but is the payoff worth it In this case, it is: a speedup of 29 Not only is it more efficient to explicitly commit a transaction, but it may often be the safest thing to do For example, if you're inserting 1,000 rows of customer credit card activity into your database, do you want some of the inserts to succeed if others fail Most likely not When you perform a single logical task, such as "updating client account activity" or "processing all phonebased orders for today," it's more natural to process it as a single transaction all or nothing Anything in between isn't really meaningful in fact, it's often worse that not inserting at all!
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Use Multithreading to Query in Parallel
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Keep in mind that querying a database is an I/O-bound process, especially if the database is remote If you have to execute several independent queries it's sometimes not very efficient to do them one after another Instead, it's wiser to make use of idle CPU cycles that are available and have these queries execute in parallel The easiest way to do this in Java is by using multiple threads Let's return to our hypothetical example of a remote database with 50 ms of network roundtrip time Those 50 ms are lost on the client machine unless concurrent computation is going to be performed Similarly, the database server machine is idle from the time it replies until the time the next query arrives But by using multiple threads, you can request both in parallel and decrease the overall execution time for the two statements by up to half[*]
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Speedup of 2 in this case is the maximum per Amdahl's law
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Once again we're trading simplicity and flexibility for performance There will be more code and more time spent creating it, but as a result our throughput may be much better Which is more important I can't say; it's something each application designer should to take into account when building a Web application, or any application at all
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Summary
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In this chapter, we looked at the basic and the not-so-basic strategies for querying a database using JDBC As described, JDBC allows you to use some simple classes and methods to perform all of the basic types of queries you'll need to do However, by understanding some of the more advanced features of JDBC, such as connection pooling and the ability to precompile SQL statements, you'll be able to write high-performance queries One of the challenges of JDBC, and SQL in particular, is simplicity Complex data models can often demand multiline, cryptic queries that are incomprehensible to all but the person who wrote the code Instead, try to identify those queries and make use of views and stored procedures as necessary, so that the SQL written is minimal and optimized On a large development project, with many engineers trying to query a common database, there's the problem of consistency among SQL queries that have the same purpose Midway through the project, people realize that everyone has his or her own way of navigating to a common piece of data So the SQL being executed is not only complex but inconsistent across the group Changes to the data model, which are inevitable, threaten to unleash chaos The solution is to identify query needs and make it easy and intuitive for engineers to get at the data they want
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12 Web Services: The Future of Web Applications
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Throughout this book, our discussion has remained focused on technologies for building highperformance, scalable Web applications However, most of these technologies and concepts have assumed an interactive-client/single-server model of application use In the back of our minds, we've been envisioning how an application at a single site can be made fast and able to accommodate Internet-size growth in a reasonable way Also, with the exception of messaging technology, we've assumed that the main beneficiary of our efforts will be the human end user, not another application But the Internet is changing What started as a wonder of connectivity experienced visually is quickly evolving into a high-speed autobahn of "service endpoints" and sensor data producers that stream raw data instead of embedding it in visual metadata (ie, HTML) Also, the consumers of these information streams are no longer just people; they're now applications as well This is the future envisioned by true B2B processing Whether B2B companies will survive these rocky economic times is open for debate In fashion or not, one thing is for sure: The automated production and consumption of Web data via Internet protocols such as HTTP is here to stay Within this movement, some key trends are beginning to emerge:
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The need for self-describing data: The Internet has been full of data for some time and it's growing by leaps and bounds even as you read this However, what's missing is metadata and structure Web data isn't typed, labeled, or related The publication of remote Web functions calls for the ability to call functions in a remote Web application, much as RMI allows you to access functions in remote Java applications This essentially means extending the distributed object model of system building to the Web, but in a nonproprietary manner Abstraction and integration of distributed Web functionality consists of repackaging and reusing more fine-grained functionality, which might exist at multiple remote locations, and collapsing it into one remote abstract function
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Web services technology has become the moniker for this movement This term refers to the collection of standards and technologies that enables Web applications to be stitched together in a more flexible and powerful way than previously attempted Specifically, the goal of Web services technology is to allow Internet applications to be queried programmatically, thus enabling application data access to be as easy as making a function call From the consumer's standpoint, Web services exist as a set of remote objects that can be located and queried in a platformindependent manner, via HTTP From the provider's standpoint, Web services enable the application to be queried easily by other programs and agents A key advantage of Web services is the separation between interface and implementation Providers can continue to implement and deploy their applications however they like they just need to follow some additional integration steps for parts of their application that they want to make available as a Web service It's a lot like one big distributed object system, except that the technology used for deploying the objects at any one site is flexible One company can deploy its objects via CORBA; another can deploy its objects as EJBs it doesn't matter Once they publish these objects as Web services, remote clients can access them without worrying about how they're implemented and deployed on the server side The end result will allow new applications to seamlessly and dynamically combine functionality from all over the Web, turning the Web into a truly practical, service-oriented distributed system
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