Now insert and query share the resource ( Max Process Count control) 。 When the query with high TPS，the insert will get error (“error: too many process”). I think separator the resource for Insert and Query will makes sense. Ensure enough resource for insert。It looks like Use Yarn， Insert and Query use the different resource quota。
Or the simple way , Can we set Ratio for Insert and

Something that could help the documentation would be a glossary that certain terms could link to. A pointer would be a good candidate, or C data structures (struct/union) in general. Also extension type, terms like extern or inline, etc. It wouldn't have to replicate a complete specification o

Problem:
catboost version: 0.23.2
Operating System: all
Tutorial: https://github.com/catboost/tutorials/blob/master/custom_loss/custom_metric_tutorial.md

Impossible to use custom metric (С++).

Code example

from catboost import CatBoost
train_data = [[1, 4, 5, 6],
 

Would you like to add more error handling for return values from functions like the following?

• malloc ⇒ moloch_trie_init
• [MOLOCH_LOCK_INIT](https://github.com/aol/moloch/blob/664ffe25810380f12823941c210

Today IMap.values() and IMap.values(Predicate) calls are blocking.

I would like to use IMap.values(Predicate) in a Jet Pipeline, which is possible, but I need to declare it as nonCooperative, and will have an impact on the pipeline scalability.

Would it be possible to have an async (non-blocking) version for these calls ?

Thank you very much for all the hard work done !

PrestoDB https://prestodb.io .. is widely used as SQL frontend for many different data-sources, including ElasticSearch, and even files in S3 .. would be very nice if there would be a Connector available for Vespa.

Hi, if my spark app is using 2 storage type, both S3 and Azure Data Lake Store Gen2, could I put spark.delta.logStore.class=org.apache.spark.sql.delta.storage.AzureLogStore, org.apache.spark.sql.delta.storage.S3SingleDriverLogStore

Thanks in advance