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Merge pull request #80 from skierpage/patch-1
"to much" typo
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blog/_posts/2020-12-04-measuring-memory-usage-in-rust.adoc

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@@ -28,7 +28,7 @@ This is how, for example, https://github.com/KDE/heaptrack[heaptrack] works (see
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The two approaches are complementary.
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If the problem is that the application does too many short-lived allocations (instead of re-using the buffers), it would be invisible for the first approach, but very clear in the second one.
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If the problem is that, in a steady state, the application uses to much memory, the first approach would work better for pointing out which data structures need most attention.
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If the problem is that, in a steady state, the application uses too much memory, the first approach would work better for pointing out which data structures need most attention.
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In rust-analyzer, we are generally interested in keeping the overall memory usage small, and can make better use of heap parsing approach.
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Specifically, most of the rust-analyzer's data is stored in the incremental computation tables, and we want to know which table is the heaviest.

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