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[SwiftLexicalLookup] Unqualified lookup caching #3068
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Without diving too deeply into the details: I am a little concerned about the cache eviction behavior and the fact that you need to manually call evictEntriesWithoutHit
(which incidentally doesn’t seem to be called in this PR or swiftlang/swift#81209) and I think it’s easy for clients to forget to call it. Does this more complex cache eviction policy provide significant benefits over a simple LRU cache that keeps, say 100, cache entries? We could share the LRUCache
type that we currently have in SwiftCompilerPluginMessageHandling
for that. Curious to hear your opinion.
/// memory accesses could take longer, slowing down the eviction process. That's why the `drop` value | ||
/// could be fine-tuned to maximize the performance given file size, | ||
/// number of lookups, and amount of available memory. | ||
public init(drop: Int = 0) { |
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I’m not a fan of the drop
naming here. I don’t have a better suggestion yet, maybe I’ll come up with one.
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Yes, I agree it is a bit ambiguous. What about skip
?
Hi Alex, thank you for the suggestions and sorry for the late reply. I got quite busy with school. Thank you for pointing out
The current implementation assumes subsequent lookups happen in close proximity to the previous lookup. Like e.g. in the compiler in a single top-bottom scan (best case). The algorithm follows the intuition that for any (close) subsequent lookup, we shouldn’t recompute more than one scope. In top-bottom scan and maintaining one path to the root, we always have a guaranteed cache hit in the first common ancestor. I think a sufficiently big LRU cache would have a similar behavior, but it would require more memory than this approach and not provide additional speedup. I’ve also noticed that growing the cache too big leads to diminishing returns. I suppose it could happen because less of the data structure can remain cached in memory. I attach below a sketch I used when pitching the idea to @DougGregor that visualizes an optimal top-bottom scan. In each step, blue represents contents of the cache, red represents evicted entries and green arrows point at the lookup position. I think SwiftLexicalLookup could still benefit from an LRU cache though. The current implementation lacks an ability to arbitrarily lookup previously evaluated names without reevaluating a great part of the syntax tree below. What if we still used the optimal and small cache from the current implementation for subsequent lookups and maintain a large LRU cache for symbols/leaves that would fill up alongside it? This way we would have the best out of two worlds without blowing up the size of LRU with intermediate scope results. What do you think about this idea? |
Would it be possible to use an LRU cache and provide an eviction method that can be called to clean up the cache as we know that some parts of it are no longer relevant (what you described in the sketch above). That way we would get reasonable out-of-the-box behavior and don’t have an ever-growing cache but also have the ability to keep the cache size low in cases where the client (here the compiler) cares about it and knows the access patterns. |
Ah yes, that’s a very good idea to have an upper bound for the size of the cache. I haven’t thought about it. I’ll try to look into how to extend |
We should hoist it up. We could put it into a new module or just stick it in the |
…ft-syntax module with package level access.
@swift-ci Please test |
@swift-ci Please test Windows Platform |
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Thanks for addressing my review comments. I just had a chance to look at the PR again and left a few comments inline.
/// memory accesses could take longer, slowing down the eviction process. That's why the `drop` value | ||
/// could be fine-tuned to maximize the performance given file size, | ||
/// number of lookups, and amount of available memory. | ||
public init(capacity: Int, drop: Int = 0) { |
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Just an idea: Would it make sense to move the drop
parameter to evictEntriesWithoutHit
. That way clients don’t have to think about the dropping cache eviction policy unless they start calling evictEntriesWithoutHit
. It would also open up the option to vary the size of the cache dynamically depending on the shape of the code that we’re in (not sure if that’s useful or not). It would also remove the need for bypassDropCounter
in that function because you could pass drop: 0
there, I think.
/// `nil` if there's no cache entry for the given `id`. | ||
/// Adds `id` and ids of all ancestors to the cache `hits`. | ||
func getCachedAncestorResults(id: SyntaxIdentifier) -> [LookupResult]? { | ||
guard let results = ancestorResultsCache[id] else { return nil } |
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If the user doesn’t call evictEntriesWithoutHit
, hits
will keep on growing indefinitely. Should we clear up hits
periodically for elements that are no longer in the cache? Eg. as a kind of garbage collection if hits.count > capacity * 2
. Or should we only keep track of hits
if the user opts into it inside the initializer?
for key in ancestorResultsCache.keysInCache.union(sequentialResultsCache.keysInCache).subtracting(hits) { | ||
ancestorResultsCache[key] = nil | ||
sequentialResultsCache[key] = nil | ||
} |
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Not sure how performance sensitive this is or how expensive the Set
operations are but I would imagine it would be more performant if we just did the following because it requires no set modifications.
for key in ancestorResultsCache where !hits.contains(key) {
ancestorResultsCache[key] = nil
}
for key in sequentialResultsCache where !hits.contains(key) {
sequentialResultsCache[key] = nil
}
@@ -698,7 +735,8 @@ import SwiftSyntax | |||
public func lookup( | |||
_ identifier: Identifier?, | |||
at lookUpPosition: AbsolutePosition, | |||
with config: LookupConfig | |||
with config: LookupConfig, | |||
cache: LookupCache? |
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Should we default cache
to nil
to avoid API breakage?
) | ||
} else { | ||
return lookupInParent(identifier, at: lookUpPosition, with: config) | ||
// We're not using `lookupParent` to not cache the results here. |
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Why don’t we want to cache the results here? Same for the other places that have
We're not using `lookupParent` to not cache the results here.
I think adding the why as a comment would be helpful for future reference.
@@ -33,12 +32,14 @@ public class LRUCache<Key: Hashable, Value> { | |||
private unowned var tail: _Node? | |||
|
|||
public let capacity: Int | |||
public private(set) var keysInCache: Set<Key> |
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Should all the public
members be marked as package
if LRUCache
is package
now? Also, thanks for introducing the ability to use package
in swift-syntax 🙏🏽
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@rintaro Could you check if you have any concerns for the changes in LRUCache?
@@ -11,6 +11,7 @@ | |||
//===----------------------------------------------------------------------===// | |||
|
|||
@_spi(Testing) import SwiftCompilerPluginMessageHandling | |||
import SwiftSyntax |
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If LRUCache
is in SwiftSyntax`, I think we should also move the tests to SwiftSyntax.
) -> [LookupResult] { | ||
scope?.lookup(identifier, at: self.position, with: config) ?? [] | ||
if let cache, let identifier { |
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Just an idea: Could we avoid one nesting level by making this
guard let cache, let identifier else {
return scope?.lookup(identifier, at: self.position, with: config, cache: cache) ?? []
}
) -> [LookupResult] { | ||
scope?.lookup(identifier, at: self.position, with: config) ?? [] | ||
if let cache, let identifier { |
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Does this mean that we don’t use the cache if you run lookup
without an identifier
. Shouldn’t we be able to return the results from the cache in that case without filtering?
This PR introduces optional caching support to
SwiftLexicalLookup
. In order to use it, clients can pass an instance ofLookupCache
as a parameter to the lookup function.LookupCache
keeps track of cache member hits. In order to prevent the cache from taking too much memory, clients can call theLookupCache.evictEntriesWithoutHit
function to remove members without a hit and reset the hit property for the remaining members. Calling this function every time after lookup effectively maintains one path from a leaf to the root of the scope tree in cache.Clients can also optionally set the
drop
value: