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the VM has limited space where it can store CPU sample information.
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at a higher sampling rate, the space fills up and begins
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to overflow sooner than it would have if a lower sampling
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rate was used.
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this means that you might not have access to CPU samples
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from the beginning of the recorded profile, depending
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on whether the buffer overflows during the time of recording.
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a profile that was recorded with a lower sampling rate
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yields a more coarse-grained CPU profile with fewer samples.
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this affects your app’s performance less,
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but you might have access to less information about what
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the CPU was doing during the time of the profile.
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the VM’s sample buffer also fills more slowly, so you can see
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CPU samples for a longer period of app run time.
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this means that you have a better chance of viewing CPU
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samples from the beginning of the recorded profile.
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<topic_end>
|
<topic_start>
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filtering
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when viewing a CPU profile, you can filter the data by
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library, method name, or UserTag.
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<topic_end>
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<topic_start>
|
guidelines
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when looking at a call tree or bottom up view,
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sometimes the trees can be very deep.
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to help with viewing parent-child relationships in a deep tree,
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enable the display guidelines option.
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this adds vertical guidelines between parent and child in the tree.
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<topic_end>
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<topic_start>
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other resources
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to learn how to use DevTools to analyze
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the CPU usage of a compute-intensive mandelbrot app,
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check out a guided CPU profiler view tutorial.
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also, learn how to analyze CPU usage when the app
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uses isolates for parallel computing.
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<topic_end>
|
<topic_start>
|
using the memory view
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the memory view provides insights into details
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of the application’s memory allocation and
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tools to detect and debug specific issues.
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info note
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this page is up to date for DevTools 2.23.0.
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for information on how to locate DevTools screens in different IDEs,
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check out the DevTools overview.
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to better understand the insights found on this page,
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the first section explains how dart manages memory.
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if you already understand dart’s memory management,
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you can skip to the memory view guide.
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<topic_end>
|
<topic_start>
|
reasons to use the memory view
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use the memory view for preemptive memory optimization or when
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your application experiences one of the following conditions:
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<topic_end>
|
<topic_start>
|
basic memory concepts
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dart objects created using a class constructor
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(for example, by using MyClass()) live in a
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portion of memory called the heap. the memory
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in the heap is managed by the dart VM (virtual machine).
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the dart VM allocates memory for the object at the moment of the object creation,
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and releases (or deallocates) the memory when the object
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is no longer used (see dart garbage collection).
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<topic_end>
|
<topic_start>
|
object types
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<topic_end>
|
<topic_start>
|
disposable object
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a disposable object is any dart object that defines a dispose() method.
|
to avoid memory leaks, invoke dispose when the object isn’t needed anymore.
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<topic_end>
|
<topic_start>
|
memory-risky object
|
a memory-risky object is an object that might cause a memory leak,
|
if it is not disposed properly or disposed but not GCed.
|
<topic_end>
|
<topic_start>
|
root object, retaining path, and reachability
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<topic_end>
|
<topic_start>
|
root object
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every dart application creates a root object that references,
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directly or indirectly, all other objects the application allocates.
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<topic_end>
|
<topic_start>
|
reachability
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if, at some moment of the application run,
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the root object stops referencing an allocated object,
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the object becomes unreachable,
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which is a signal for the garbage collector (gc)
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to deallocate the object’s memory.
|
<topic_end>
|
<topic_start>
|
retaining path
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the sequence of references from root to an object
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is called the object’s retaining path,
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