Speeding up indexing by exploiting temporal locality of UTXO use. #703
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Working on issue ordinals#371 Most UTXOs are short-lived so to speed up indexing, we introduce an in-memory HashMap that collects all outpoint-to-ordinal-range mappings since the last DB commit, and serves as a cache. On mainnet this avoids around 80% of the writes to the redb BTree and results in a 2x speedup for indexing at the expense of slightly higher RAM usage. Also introduces more detailed logging and time keeping.
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Jan 11, 2025
This speeds up the index by adding an Updater with a cache, responsible for updating the index to the latest chain tip. The Updater exploits the fact that many UTXOs are destroyed soon after they are created. By maintaining a cache of outpoint to ordinal ranges in an in-memory hashmap, we avoid a great deal of database inserts and removals. On mainnet this avoids around 80% of database writes and results in a 2x speedup at the expense of slightly higher RAM usage.
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Working on issue #371
Most UTXOs are short-lived so to speed up indexing, we introduce an in-memory HashMap that collects all outpoint-to-ordinal-range mappings since the last DB commit, and serves as a cache. On mainnet this avoids around 80% of the writes to the redb BTree and results in a 2x speedup for indexing at the expense of slightly higher RAM usage.
Also introduces more detailed logging and time keeping.
Also, this includes #702, not sure how to pull these two apart.