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fix: Do not load all of a DAG into memory when pinning#2372
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Given a `CID`, the `dag._recursiveGet` method returns a list of all descendents of the node with the passed `CID`. This can cause enormous memory useage when importing large datasets. Where this method is invoked the results are either a) disgarded or b) used to calculate the `CID`s of the nodes which is then bad for memory *and* CPU usage. This PR removes the buffering and `CID` recalculating for a nice speedup when adding large datasets. fixes #2310
achingbrain
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Aug 20, 2019
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Holy wow 3s faster than go-ipfs! |
alanshaw
suggested changes
Aug 21, 2019
.aegir.js
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| module.exports = { | ||
| bundlesize: { maxSize: '689kB' }, | ||
| bundlesize: { maxSize: '756KB' }, |
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I'm not sure this is change is needed, In this branch I'm getting the following:
⨎ npx aegir build --bundlesize
Child
1466 modules
Child
1466 modules
PASS ./dist/index.min.js: 682.3KB < maxSize 756KB (gzip)
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Will revert since we're disabling it anyway
| - stage: check | ||
| script: | ||
| - npx aegir build --bundlesize | ||
| # - npx aegir build --bundlesize |
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Note to self we need a sister PR that re-enables this after it is merged.
src/core/components/pin.js
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| q.push({ cid }) | ||
| } | ||
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| function getIndirectKeys (callback) { |
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You need to pass the preload option from pin.ls here and then pass it to walkDag
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For certain datasets under certain conditions. Not cracking out the 🍾 just yet... |
achingbrain
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Aug 22, 2019
Port of #2372 into gc branch to ease merging
achingbrain
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Port of #2372 into gc branch to ease merging
achingbrain
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Port of #2372 into gc branch to ease merging
alanshaw
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Aug 23, 2019
Port of #2372 into gc branch to ease merging
alanshaw
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Port of #2372 into gc branch to ease merging
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Given a
CID, thedag. _getRecursivemethod returns a list of all descendents of the node with the passedCID. This can cause enormous memory usage when importing large datasets.Where this method is invoked the results are either a) disgarded or b) used to calculate the
CIDs of the nodes which is then bad for memory and CPU usage.This PR removes the buffering and
CIDrecalculating for a nice speedup when adding large datasets.In my (non-representative, may need all the other unfinished async/iterator stuff) testing, importing folder of 4MB files totalling about 5GB files with content from
/dev/urandominto a fresh repo with a daemon running in the background is now:Which is nice.
fixes #2310