3/23/2021 0 Comments Java Code Profiler
Even performancethat elusive metric we all love to hate when our code struggles with second gear, and love, when our code travels at O(1) speedconsists of many devilishly interlocked facets.Performances proverbial tip of the iceberg consists of the subjective, user-tangible perception of program speed and responsiveness.Helping you to understand your programs dynamic behavior in these select dimensions is the burdensome job of code profilers.In this article, I look at three commercial Java profilers and determine which ones come close to satisfying your, and my, needs.
Java Code Profiler Code Struggles WithThis Sun Microsystems API lets tool vendors interface or connect with a JVMPI-compliant JVM, and monitor the workings and key events of a JVM running any Java programfrom standalone application to applet, servlet, and Enterprise JavaBeans (EJB) component. Given that JVMPI imposes a standardized, level playing field for all profiler tool vendors, it is no surprise that the main differentiating factor vendors compete on boils down to the tools metafeatures (i.e., features that add significant value to raw JVMPI data and functionality, and, even more important, the graphical user interface (GUI) fronting those features). Java Code Profiler How To Exploit TheAs youll see in the rest of this product review, the products make-or-break GUIs each have an individual approach to the core problem of how to exploit the raw JVMPI features to maximize analytic and debugging productivity. Unfortunately, as for so many applications tasked with visualizing large datasets in an intuitive and truly user-friendly way, not every profiler convinced me that its makers succeeded in that respect. The three reviewed profilers have almost identical profiling session configuration capabilities, so I briefly mention them here and move on to the comparison. Once you select a JVM, you must specify your programs main class, or executable jar file, and what arguments, if any, your program expects. Finally, setting the CLASSPATH for a profiling session also typically lets you point the tool at your source code hierarchy. Figure 1 shows a typical session configuration dialog. Figure 1. A typical profiling session configuration dialog; in this case, JProbes dialog. Launching a program in a profiler implies the generation, capture, and visualization of overwhelming volumes of data, so all profilers include diverse approaches to control this data flood by filtering on various criteria, typically on a per-package basis.
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