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],
 

Hello. I would like to ask for suggestions for additional features for development.

On the Sessions tab,

Please develop a function that can addon to frequently used search queries.

In some cases, the default implementations are very inefficient (e.g. Map.replaceAll and forEach fetching all entries and iterating over them locally). This was improved on member-side as the cluster version is available and in some cases we opted for using entry processors instead.

On the client-side, the cluster version is not available which meant it ends up still using the default versi

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