Where is ddms cfg

HIDL Java. ConfigStore HAL. Device Tree Overlays. Vendor NDK. Vendor Interface Object. Core Concepts. Camera Features. Bluetooth and NFC. Calling and Messaging. ACTS Tests. Surface and SurfaceHolder. SurfaceFlinger and WindowManager. Hardware Composer HAL.

OpenGL ES. Neural Networks. Audio Accessories. USB Headset. Custom Accessories. Sensors HAL. The traffic that is forwarded is determined by the currently selected process in the DDMS Devices view. If you are starting DDMS from the command line, the screen is slightly different, but much of the functionality is identical. Notice that the highlighted process, com.

This signifies that DDMS is currently forwarding port to the static debugging port of However, when single-stepping out of synchronized code, the "current line" cursor may jump to the last line in the method for one step.

DDMS allows you to view how much heap memory a process is using. This information is useful in tracking heap usage at a certain point of time during the execution of your application. DDMS provides a feature to track objects that are being allocated to memory and to see which classes and threads are allocating the objects.

This allows you to track, in real time, where objects are being allocated when you perform certain actions in your application. This information is valuable for assessing memory usage that can affect application performance.

This feature is useful in examining files that are created by your application or if you want to transfer files to and from the device. Method profiling is a means to track certain metrics about a method, such as number of calls, execution time, and time spent executing the method. If you want more granular control over where profiling data is collected, use the startMethodTracing and stopMethodTracing methods.

For more information about generating trace logs, see Profiling and Debugging UIs. In Android 4. Using this tool, you can monitor how and when your app transfers data and optimize the underlying code appropriately. By monitoring the frequency of your data transfers, and the amount of data transferred during each connection, you can identify areas of your application that can be made more battery-efficient.

Generally, you should look for short spikes that can be delayed, or that should cause a later transfer to be pre-empted. To better identify the cause of transfer spikes, the TrafficStats API allows you to tag the data transfers occurring within a thread using setThreadStatsTag , followed by manually tagging and untagging individual sockets using tagSocket and untagSocket. The snapshot shows the address of the allocated memory denoted as addressA. This address is the RAM address, not the relative address of so.

Then take addressA-addressB, get the relative address, use addr2line to locate where to call. In fact, it's a waste of expressions to try to locate new in the end. This tool is far less powerful than Mac Instrument, and it cannot locate which function occupies much memory.

What it can do is to tell you which so's memory growth has decreased, but in fact, this is also very useful. Isn't it important to grasp the direction of the next step? Toggle navigation Titan Wolf.