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Péter Szilágyi authored
The current trie memory database/cache that we do pruning on stores trie nodes as binary rlp encoded blobs, and also stores the node relationships/references for GC purposes. However, most of the trie nodes (everything apart from a value node) is in essence just a collection of references. This PR switches out the RLP encoded trie blobs with the collapsed-but-not-serialized trie nodes. This permits most of the references to be recovered from within the node data structure, avoiding the need to track them a second time (expensive memory wise).
d926bf2cPéter Szilágyi authoredThe current trie memory database/cache that we do pruning on stores trie nodes as binary rlp encoded blobs, and also stores the node relationships/references for GC purposes. However, most of the trie nodes (everything apart from a value node) is in essence just a collection of references. This PR switches out the RLP encoded trie blobs with the collapsed-but-not-serialized trie nodes. This permits most of the references to be recovered from within the node data structure, avoiding the need to track them a second time (expensive memory wise).
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