okay, thanks! are you planning to move to Java 11 with ZGC ? At this latency level GC could impact the >p95

Many people faced it with Cassandra, So we relied on Scylladb

we haven't looked into it yet. thats good to know

this is at nurture farm?

At Ola

Even in nurture.farm we avoid Cassandra DB!

do you have detailed analysis on zGC

we are debugging something with leanplum on p99

and suspecting GC

But we liked it in Java only, Over a period of time we want many developers work on the code base!

I will find analysis for ZGC and post it, For last one year I worked on very closed system!

I missed these links!

no worries, reading about it.

But the idea is it won't reduce any burden on GC, but reduce the average "Stop the world" time by great extent, If I remember well, for large heaps it'll help even more!

Does anybody used Pinot for logs use case ? Even though in docs said that it can be used, we don't find any articles on them! We want to use for comments (from users) matching as well!

yes, we haven't done anything specifically for that but we are seeing folks starting to use it for logs use case

its not Pinot's strength but we have the primitives like Text Index that can be enabled on specific columns

Thanks for the reading!

I can put you in touch with them if you need more info

That would definitely help!

Thanks for your time today!

when do you want to talk to them?

Their scale and learnings from it, especially in terms of manageability, Given that they are using with Lucene (Another moving part)

It looks like they are some inherent inefficiency, for AND queries they are fetching documents separately for each query and doing joins of documents, which is pretty bad for scalability! I want it in such a way that full query has to be executed on table segment itself then return the result!

Lucene is temporary thing, we plan to replace it soon

the only part we need is the fuzzy matching part

Hi. Please let me know if there is a slack channel that better fit the following question. What are the plans of adding support for Approximate Quantiles/Histograms/Ranks/CDF/etc and corresponding HLL Sketch and doubleSketch datatypes? Similar to https://druid.apache.org/docs/latest/development/extensions-core/datasketches-quantiles.html and https://datasketches.apache.org/docs/HLL/HLL.html . Or what other things can be already used in Pinot to represent mergeable information about approximate distributions? For example, what can we use to store the distribution of some float point values and allow filtering and aggregation of such distributions? Thank you.

troubleshooting might be a better channel

I would like to learn about the roadmap/next priority features for Apache Pinot. Do we have any docs/channel to get this information ?