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you can use platform channels in isolates to send messages to the host platform
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(for example Android or iOS),
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and receive responses to those messages.
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However, you can’t receive unsolicited messages from the host platform.As an example,
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you can’t set up a long-lived Firestore listener in a background isolate,
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because Firestore uses platform channels to push updates to Flutter,
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which are unsolicited.
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You can, however, query Firestore for a response in the background.<topic_end>
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<topic_start>
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More information
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For more information on isolates, check out the following resources:
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<topic_end>
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<topic_start>Performance FAQ
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This page collects some frequently asked questions
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about evaluating and debugging Flutter’s performance.
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<topic_end>
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<topic_start>More thoughts about performance
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<topic_end>
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<topic_start>
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What is performance?
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Performance is a set of quantifiable properties of a performer.In this context, performance isn’t the execution of an action itself;
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it’s how well something or someone performs. Therefore, we use the adjective
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performant.While the how well part can, in general, be described in natural languages,
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in our limited scope, the focus is on something that is quantifiable as a real
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number. Real numbers include integers and 0/1 binaries as special cases.
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Natural language descriptions are still very important. For example, a news
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article that heavily criticizes Flutter’s performance by just using words
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without any numbers (a quantifiable value) could still be meaningful, and it
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could have great impacts. The limited scope is chosen only because of our
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limited resources.The required quantity to describe performance is often referred to as a
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metric.To navigate through countless performance issues and metrics, you can categorize
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based on performers.For example, most of the content on this website is about the Flutter app
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performance, where the performer is a Flutter app. Infra performance is also
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important to Flutter, where the performers are build bots and CI task runners:
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they heavily affect how fast Flutter can incorporate code changes, to improve
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the app’s performance.Here, the scope was intentionally broadened to include performance issues other
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than just app performance issues because they can share many tools regardless of
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who the performers are. For example, Flutter app performance and infra
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performance might share the same dashboard and similar alert mechanisms.Broadening the scope also allows performers to be included that traditionally
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are easy to ignore. Document performance is such an example. The performer
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could be an API doc of the SDK, and a metric could be: the percentage of readers
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who find the API doc useful.<topic_end>
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<topic_start>
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Why is performance important?
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Answering this question is not only crucial for validating the work in
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performance, but also for guiding the performance work in order to be more
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useful. The answer to “why is performance important?” often is also the answer
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to “how is performance useful?”Simply speaking, performance is important and useful because, in the scope,
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performance must have quantifiable properties or metrics. This implies:Not that non-performance, or non-measurable issues or descriptions are not
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important. They’re meant to highlight the scenarios where performance can be
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more useful.<topic_end>
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<topic_start>
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1. A performance report is easy to consume
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Performance metrics are numbers. Reading a number is much easier than reading a
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passage. For example, it probably takes an engineer 1 second to consume the
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performance rating as a number from 1 to 5. It probably takes the same engineer
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at least 1 minute to read the full, 500-word feedback summary.If there are many numbers, it’s easy to summarize or visualize them for quick
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consumption. For example, you can quickly consume millions of numbers by
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looking at its histogram, average, quantiles, and so on. If a metric has a
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history of thousands of data points, then you can easily plot a timeline to
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read its trend.On the other hand, having n number of 500-word texts almost guarantees an
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n-time cost to consume those texts. It would be a daunting task to analyze
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thousands of historical descriptions, each having 500 words.<topic_end>
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<topic_start>
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2. Performance has little ambiguity
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Another advantage of having performance as a set of numbers is its unambiguity.
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When you want an animation to have a performance of 20 ms per frame or
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50 fps, there’s little room for different interpretations about the numbers. On
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the other hand, to describe the same animation in words, someone might call it
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good, while someone else might complain that it’s bad. Similarly, the same
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word or phrase could be interpreted differently by different people. You might
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interpret an OK frame rate to be 60 fps, while someone else might interpret it
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to be 30 fps.Numbers can still be noisy. For example, the measured time per frame might
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be a true computation time of this frame, plus a random amount of time (noise)
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that CPU/GPU spends on some unrelated work. Hence, the metric fluctuates.
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Nevertheless, there’s no ambiguity of what the number means. And, there are
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also rigorous theory and testing tools to handle such noise. For example, you
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could take multiple measurements to estimate the distribution of a random
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variable, or you could take the average of many measurements to eliminate the
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noise by the law of large numbers.<topic_end>
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<topic_start>
|
3. Performance is comparable and convertible
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Performance numbers not only have unambiguous meanings, but they also have
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unambiguous comparisons. For example, there’s no doubt that 5 is greater than 4.
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On the other hand, it might be subjective to figure out whether excellent is
|
better or worse than superb. Similarly, could you figure out whether epic is
|
better than legendary? Actually, the phrase strongly exceeds expectations
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could be better than superb in someone’s interpretation. It only becomes
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unambiguous and comparable after a definition that maps strongly exceeds
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expectations to 4 and superb to 5.Numbers are also easily convertible using formulas and functions. For example,
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60 fps can be converted to 16.67 ms per frame. A frame’s rendering
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time x (ms) can be converted to a binary indicator
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isSmooth = [x <= 16] = (x <= 16 ? 1 :0). Such conversion can be compounded or
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chained, so you can get a large variety of quantities using a single
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measurement without any added noise or ambiguity. The converted quantity can
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then be used for further comparisons and consumption. Such conversions are
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almost impossible if you’re dealing with natural languages.<topic_end>
|
<topic_start>
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4. Performance is fair
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If issues rely on verbose words to be discovered, then an unfair advantage is
|
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