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Today we introduce TIN: a powerful and reliable full-text search extension for Postgres. TIN works with complicated WHERE clauses, replication, backups, and maintains correct transaction visibility. It's also mind-blowingly fast.

PlanetScale

43,945 subscribers

500,125 görüntüleme • 8 gün önce •via X (Twitter)

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34 Yorum

PlanetScale profil fotoğrafı

PlanetScale8 gün önce

Read more about TIN's performance and how to get started:

Holly Guevara profil fotoğrafı

Holly Guevara8 gün önce

🚨 BALLS ON PROD 🚨

incpo profil fotoğrafı

incpo8 gün önce

You need PlanetScale Postgres to use TIN currently. There’s no public TIN source package or self-hosted installation method documented

AMB profil fotoğrafı

AMB8 gün önce

I understood Neki not being opensource. For this it's harder to swallow. Will it be in the future ? How can I work with this in a local pg for dev or testing if I can't access the extension ?

teej dv 🔭 profil fotoğrafı

teej dv 🔭8 gün önce

Balls

nicolas lopes profil fotoğrafı

nicolas lopes8 gün önce

How does it compare with

Michael Ramos profil fotoğrafı

Michael Ramos8 gün önce

ah huge. It sucked not having BM25.

ricky b profil fotoğrafı

ricky b8 gün önce

sick

Samuel Bodin profil fotoğrafı

Samuel Bodin8 gün önce

@hollylawly can I have a ball chart against algolia please

pedro costa — oss/acc profil fotoğrafı

pedro costa — oss/acc8 gün önce

i wasn't understanding the latency difference until I saw the balls, congrats guys

Anjul Sahu profil fotoğrafı

Anjul Sahu8 gün önce

@chrismunns @paradedb open source 💯

LumaByte profil fotoğrafı

LumaByte8 gün önce

committed rows searchable right away, love that

Austin profil fotoğrafı

Austin8 gün önce

@samlambert So much good stuff from y’all recently. First Neki now TIN, what’s next?

rekxor profil fotoğrafı

rekxor8 gün önce

@paradedb waiting for you folks on this 👀

Evan will fix your vibe-code profil fotoğrafı

Evan will fix your vibe-code8 gün önce

Oh no not turbopuffer! You were supposed to do Clickhouse

Vishal Anton profil fotoğrafı

Vishal Anton8 gün önce

it is fast, 10x is crazy.

Adam profil fotoğrafı

Adam7 gün önce

@hiradp vector search when

trent profil fotoğrafı

trent8 gün önce

Sure be cool if you open sourced this.

Ben S. profil fotoğrafı

Ben S.8 gün önce

How does it compare to ClickHouse FTS?

lewington profil fotoğrafı

lewington8 gün önce

having all that work properly with postgres makes it worth checking out

Jarosław Królik profil fotoğrafı

Jarosław Królik8 gün önce

Awesome stuff. Will this extension available outside PlaneScale?

Alex profil fotoğrafı

Alex7 gün önce

oh yeah, was waiting for this 🚀

J.G.Montoya profil fotoğrafı

J.G.Montoya7 gün önce

Open source when?

Naelo — 🇪🇺 eu/acc profil fotoğrafı

Naelo — 🇪🇺 eu/acc8 gün önce

Does it work on @supabase ?

Tianyi-天轶 profil fotoğrafı

Tianyi-天轶8 gün önce

Is it bm25?

Pranav Bobde profil fotoğrafı

Pranav Bobde7 gün önce

how does it compares to ElasticSearch?

Thierry profil fotoğrafı

Thierry8 gün önce

Great work.

Roman profil fotoğrafı

Roman8 gün önce

Benchmark metrics look cool, but how does TIN perform when users make frequent typos in the search query? Can it fully replace a pg_trgm + GIN setup for messy search inputs?

father stretch my bandz profil fotoğrafı

father stretch my bandz8 gün önce

hello paradedb prepare yourself and your enterprise license

Firat Özcan profil fotoğrafı

Firat Özcan8 gün önce

@BenjDicken please

kettybluce profil fotoğrafı

kettybluce7 gün önce

Fast full-text search is compelling, but the transaction-visibility detail is what stands out. Correctness under replication and backups is the hard part—great to see it treated as a first-class constraint.

Karan Sakhuja profil fotoğrafı

Karan Sakhuja8 gün önce

How does it compare to `pg_search`

Nipsuli profil fotoğrafı

Nipsuli8 gün önce

@0xblacklight Really nice write up! Love the details on how to lean into postgres internals to make it fast

Salise profil fotoğrafı

Salise8 gün önce

the fact that TIN maintains correct transaction visibility is really important for complex queries

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