How to build a 256 TB search index

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Nathan VanBenschoten<br>@natevanben

How to build a 256 TB search index

span:not(:empty)~span:not(:empty)]:before:content-['·'] [&>span:not(:empty)~span:not(:empty)]:before:px-1 [&>span:not(:empty)~span:not(:empty)]:before:shrink-0">3:57 PM · Aug 5, 202610.7KViews

37<br>50

span:not(:empty)~span:not(:empty)]:before:content-['·'] [&>span:not(:empty)~span:not(:empty)]:before:px-1 [&>span:not(:empty)~span:not(:empty)]:before:shrink-0 min-w-0 overflow-hidden">Yash Agarwal

@yashagw

5m

great read man @natevanben

11

span:not(:empty)~span:not(:empty)]:before:content-['·'] [&>span:not(:empty)~span:not(:empty)]:before:px-1 [&>span:not(:empty)~span:not(:empty)]:before:shrink-0 min-w-0 overflow-hidden">Richard Artoul

@richardartoul

31m

this is neat

does the shared WAL with ID-based sharding mean that every indexer has to read every part of every WAL segment and ignore what it doesn't care about, or is the internal WAL format organized in chunks based on the shards so indexers can avoid Show more

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Nathan VanBenschoten@natevanbenFollow<br>chief architect @turbopuffer, previously distributed systems @CockroachDB

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