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

The latest copy of the CPython grammar tests in test_grammar.py has several @skips and FIXMEs. Some of them seem easy to fix, e.g. some parser bugs or missing warnings that would be helpful, others are entire features. We should fix the easy ones and make sure there are tickets for the rest.

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

Targetting 4.1

Proposal

Take the existing:

hazelcast/hazelcast/src/main/java/com/hazelcast/map/impl/proxy/MapProxyImpl.java

Line 916 in 4fed159

 public <R> Iterator<R> iterator(int fetchSize, int partitionId, Projection<Map.Entry<K, V>, R> projection, 

And create a public API in IMap which differs from the above in that it:

1. does not require partitionId but work

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