Jules Chéron

I have been delegating queries to threads using the same client. I haven't seen any problems so far. I don't know if the Pyarrow implementation is thread safe. You can...

duplicates of #2088

Here is an example: ```python from typing import Annotated from pydantic import BaseModel, Field import orjson import numpy as np import logfire logfire.configure( token="[redacted]", service_name="test_pydantic", ) class TrackStreamResponse(BaseModel): latlon: Annotated[...

Yes I get that logging and exporting those attributes in traces is the bottleneck. I think this should be options in the Pydantic plugin. Since it is dependent of user...

If I do that I don't have any traces about pydantic validation for this model 😅, thanks for your answer anyway. I will just use manual spans, that will be...

I might be biased here. I see several options: - Keep things minimal and opt in for input data in errors, opt in for input and result in validation success....

For truncation Opentelemetry SDKs comes with this built in using `OTEL_ATTRIBUTE_VALUE_LENGTH_LIMIT` env variable. Though in this case, it seems that the generations of the strings might be the bottleneck. It...

[log_http.txt](https://github.com/user-attachments/files/19826627/log_http.txt) [log_rpc.txt](https://github.com/user-attachments/files/19826630/log_rpc.txt)

Yeah I'll try to have one soon. Is it possible to call the compactor manually or would past data spread on multiple periods would be compacted to marquet, I'm asking...

Ok here is a Minimal example: ```yaml services: influxdb3: image: quay.io/influxdb/influxdb3-enterprise:5aed0d9d2cb1cba948f77869ff506230b2d0d668 container_name: influxdb3 volumes: - ./influxdb3/:/var/lib/influxdb3/ environment: - INFLUXDB3_OBJECT_STORE=file - INFLUXDB3_DB_DIR=/var/lib/influxdb3 - INFLUXDB3_ENTERPRISE_LICENSE_EMAIL= - INFLUXDB3_ENTERPRISE_MODE=all - INFLUXDB3_HTTP_BIND_ADDR=0.0.0.0:8181 - INFLUXDB3_MAX_HTTP_REQUEST_SIZE=20971520 -...