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Refactor remove_uncleaned_slots to reduce memory consumption #2954

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Problem

Cleaning algorithm creates many temporary data sets that consume significant amount of heap, increasing memory requirements of the validator.

Summary of Changes

Avoid making another temporary container of pubkeys that are candidates for cleaning.

This change reduces the used heap memory by 14% on a sample snapshot cleaning from 166,737,546,218 to 143,515,886,322 bytes.

Also collapse two small functions where the first is the only caller of the second into a single function, and remove a unit test that is almost a duplicate of another existing test that exercises the first of the functions.

@dmakarov dmakarov force-pushed the cleaning branch 2 times, most recently from 72d178b to 7cc70c2 Compare September 19, 2024 14:23
accounts-db/src/accounts_db.rs Outdated Show resolved Hide resolved
accounts-db/src/accounts_db.rs Outdated Show resolved Hide resolved
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@HaoranYi HaoranYi left a comment

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Overall look good to me.
Just two suggestions.
Neither of them are blockers. They can be addressed in later PR if we want to.

&self,
max_slot_inclusive: Slot,
) -> Vec<Vec<Pubkey>> {
candidates: &[RwLock<HashMap<Pubkey, CleaningInfo>>],

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I wonder if there is a case that we don't need filter "up_to_slot"?
If so, maybe we could make max_slot_inclusive Option?

/// returns the minimum slot we encountered
fn insert_pubkey(&self, candidates: &[RwLock<HashMap<Pubkey, CleaningInfo>>], pubkey: Pubkey) {
let index = self.accounts_index.bin_calculator.bin_from_pubkey(&pubkey);
let mut candidates_bin = candidates[index].write().unwrap();

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nit: maybe we could sort and group the pubkeys by bins and insert all pubkeys to the same bin at once.
This will save the repeated costs of lock and unlock of the same bin, also we may have better cache locality.

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I’ll make a follow-up PR. Thank you.

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@brooksprumo brooksprumo left a comment

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:shipit:

Removing the extraneous allocation is a strict improvement over the current code.

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3 participants