Viewing profile — zhousun
zhousun
HN member- Joined
- Wed, Oct 30, 2024, 6:19 PM UTC
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- 19 items
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About zhousun
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Recent public activity
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Comment #44802651
author here. I would actually second you. My core belief is "it is possible to build true database-like functionalities on top of iceberg", but it is definitely not 'easier' than b…
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Comment #44121786
there's actually a great read, cursor started with a distributed OLTP solution: yugabyte, and then fall back to RDS...
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Comment #44108678
Using SQL as catalog is not new (iceberg supports JDBC catalog from the very beginning). The main difference is to store metadata and stats also directly in SQL databases, which ma…
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Comment #43997264
DataFile(parquet) is not enough for table with update/delete, (they are part of iceberg "metadata"). for CDC from OLTP use-cases, the pattern involves rapidly marking rows as delet…
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Comment #43628173
Glab to see more 'postgres-native' full-text search implementation. Alternative solutions (lucene/ tantivy) are both designed for 'immutable segments' (indexing immutable files), s…
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Comment #43303334
lol spot-on comment and stay tuned for our v2 :) The focus of mooncake is to be a columnar storage engine, that natively integrate with pg, allowing writing from pg, replicating fr…
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Comment #43302328
Yep what I want say is the line between the two designs is indeed very blur. Logical replication with mooncake will try to create a columnar version of a postgres heap table, that …
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Comment #43301395
Yea this is indeed a repeated pattern we saw people requesting (filter on many columns) and we are trying to solve with pg_mooncake. If you are interested, feel free to join moonca…
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Comment #43301235
people tried to run spark (better hadoop) and failed lol. https://github.com/ClickHouse/ClickBench/pull/139
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Comment #43301221
Thanks for the comment but you are mixing some terminologies. The core idea of mooncake is to built upon open columnar format + substitutable vectorized engine, while natively inte…
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Comment #43301174
hydra/pg_duckdb embeds duckdb to query existing data on S3. So it is kind of targeting a completely different use case (someone already prepares and shared a dataset and you just w…
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Comment #43301140
zhou from mooncake labs here. Good point! Normally for postgres extension it won't be solvable, but for mooncake it is actually not the case! The core idea of mooncake is to built …
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Comment #43301080
transactions are also managed by postgres as if they are native table, so that you don't need to worry about coordinating commits between postgres and the S3 data.
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Comment #43301065
Interesting enough, the mooncake team was building SingleStore before, and so far it is the best production-ready HTAP system. One lesson I really learned is, people don't want to …
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Comment #43301024
Zhou from mooncake labs here. Mooncake is built upon open-table formats and substitutable query engines. So it don't need to be just a postgres extension. PG_mooncake will stay ope…
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Comment #43300985
Hi, Zhou From Mooncake labs here. Love your work on PeerDB and it's inspiring the evolvement of pg_mooncake (logical replication will be the killing feature for V2) The core idea o…
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Comment #43283138
The only datastack iceberg (or lakehouse) will never replace is OLTP systems, for high-concurrency updates optimistic concurrency control & object store is simply a no go. Iceberg …
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Comment #42568996
It's such an honor our https://pgmooncake.com/ is covered in the review! A little sad Andy didn't share more of his thoughts on the intersection between Data and AI, and how that's…