@@ -84,10 +84,10 @@ In this tutorial, we will build the LSM tree structure in 7 days:
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* Day 1: Block encoding. SSTs are composed of multiple data blocks. We will implement the block encoding.
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* Day 2: SST encoding.
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* Day 3: Engine. In this day we will get a functional (but not persistent) key-value engine with `get`, `put`, `delete`
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API.
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* Day 4: Block cache. To reduce disk I/O and maximize performance, we will use moka-rs to build a block cache for the
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LSM tree.
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* Day 3: MemTable and Merge Iterators.
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* Day 4: Block cache and Engine. To reduce disk I/O and maximize performance, we will use moka-rs to build a block cache
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* for the LSM tree. In this day we will get a functional (but not persistent) key-value engine with `get`, `put`, `scan`,
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`delete` API.
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* Day 5: Compaction. Now it's time to maintain a leveled structure for SSTs.
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* Day 6: Recovery. We will implement WAL and manifest so that the engine can recover after restart.
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* Day 7: Bloom filter and key compression. They are widely-used optimizations in LSM tree structures.
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