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fix typo
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@ -26,7 +26,7 @@ Then we need some balance between optimization of these two metrics.
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But some optimizations may improve both metrics.
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For example, we can look at the "merge tree" - the tree of data parts that were merged.
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If the tree is perfectly balanced then its depth is proportonal to the log(data size),
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If the tree is perfectly balanced then its depth is proportional to the log(data size),
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the total amount of work is proportional to data_size * log(data_size)
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and the write amplification is proportional to log(data_size).
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If it's not balanced (e.g. every new data part is always merged with existing data parts),
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