Yannick Welsch

Distributed systems, search, and analytics
@motherduck

[Peter Boncz @peterabcz]

@cwi_da graduate & @duckdblabs CTO @mraasveldt gave a cool @duckdb lecture in @andy_pavlo's Advanced DB course: https://t.co/Lky7OY31wl

Details relevant @motherduck e.g.,: pluggable catalog+storage, WASM + (min44) pausable pipelines (for hybrid execution between cloud & local)

[Yannick Welsch @ywelsch]

I've experimented with a pipe syntax in #DuckDB SQL to simplify data exploration. Give it a try: https://t.co/owEOhwbrFi

[Yannick Welsch @ywelsch]

@max_sixty Happy to chat, @max_sixty. Will reach out via DM.

[Yannick Welsch @ywelsch]

Run #PRQL queries directly within #DuckDB using this new DuckDB extension: https://t.co/ywlGGgft39

[Julie Tibshirani @julietibs]

Elasticsearch and Lucene often take inspiration from academic work. This post shares strategies for implementing research papers, drawing on our experiences: https://t.co/iMkjyggQGo

[Yannick Welsch @ywelsch]

@bluxte @pmanvi @jpountz maybe hits().docs()?

[Elastic @elastic]

Add icing to your data cake! Search petabytes of data stored on object stores like S3 within minutes using the frozen tier, now generally available. Learn more → https://t.co/K77HboQ7cs

[Elastic @elastic]

The new frozen data tier decouples compute from storage, making it easier and cheaper to manage data at scale. Learn how search performance on the new frozen tier stacks up against other data tiers: https://t.co/A8VToSDXJh

[Elastic @elastic]

You never outgrow good data. Make object stores like Amazon S3 fully searchable with the new frozen tier in Elasticsearch 7.12 → https://t.co/7dQjfcUyU1

[Yannick Welsch @ywelsch]

How about querying a petabyte-scale data set on S3 using a single #Elasticsearch node? The upcoming experimental release of searchable snapshots for the frozen tier in #Elasticsearch 7.12 has you covered → https://t.co/HlqLOD0uGH
+ https://t.co/ISOYjaOFLn

[nixCraft 🐧 @nixcraft]

Coding meme based upon @Nasser_Junior comic

[Adrien Grand @jpountz]

Since version 7.0, Elasticsearch successively moved points, stored fields and terms off-heap. Memory usage for segments will be 7x smaller with Elasticsearch 7.7 than it was in 7.0 with the geonames dataset. https://t.co/5dIBbABlIa

[Elastic @elastic]

After 20 years, Apache #Lucene is still an important #opensource project with a thriving community. Take a look at some of the highlights of 2019 – including new committers, new PMC members, new features, and new improvements → https://t.co/PPjmpFA3RY

[@[email protected] @lemmster]

#tlaplus conf 2019: "Using TLA+ for fun and profit in the development of Elasticsearch" by @ywelsch https://t.co/Who9MlRbdP https://t.co/exnt6qy6eb
/cc @strangeloop_stl

[@[email protected] @lemmster]

Yannick gives an overview of how #tlaplus helps an #elasticsearch cluster reach consensus.

[TLA+ & PlusCal @tlaplus]

#tlaplus conf 2019 preview: "Using TLA+ for fun and profit in the development of Elasticsearch" by @ywelsch https://t.co/21a9dLRlIL #pluscal #Elasticsearch /cc @strangeloop_stl

[Yannick Welsch @ywelsch]

Goodbye Zen Discovery! Meet the new cluster coordination subsystem in Elasticsearch 7.0: simpler configuration, faster master elections, effortless scaling, improved resilience https://t.co/96W3CrjSSM

[David Pilato 🇺🇦🇪🇺🇫🇷 @dadoonet]

Super nice presentation by @bleskes, @ywelsch, @jasontedor and @DaveCTurner at #Elasticon. Highly recommended to watch it when it will be online. (And great slides BTW)

[David Pilato 🇺🇦🇪🇺🇫🇷 @dadoonet]

And now @ywelsch and @DaveCTurner about reliable by design #Elasticon