bigdata

In https://github.com/taosdata/TDengine/blob/develop/src/client/src/tscPrepare.c, Local variable loopCont is assigned only once, to a constant value, making it effectively constant throughout its scope. If this is not the intent, examine the logic to see if there is a missing assignment that would make loopCont not remain constant.

So the 1567th line should be removed.
![image](https://user-im

Hi community,

This issue is for OpenForce 2022

Background

Previously, we needed to specify the worker-id when creating a snowflake key generator object.
But now that worker-id has been changed to a process-level configuration, there is no need to specify this parameter for each key generator.

vaex.from_arrays(s=['a,b']).s.str.replace(r'(\w+)',r'--\g<1>==',regex=True)

when using capture group in str, it fails, while str_pandas.replace() is correct

Name: vaex
Version: 4.6.0
Summary: Out-of-Core DataFrames to visualize and explore big tabular datasets
Home-page:

In the kubernete clusters, we are using the auto-scaler for the resource provisioning. We found for the pytorch distributed training job, if a node finished eariler and the scaler scale down it, the pod is marked deleted and will trigger the deletePod being called, then due to this pod eviction event, the job will be restarted and then failed.

Describe the bug
When the finalizer is called for CLR JvmObjectId objects, it calls the rm DotnetBackend method and this calls goes through the JvmBridge class. Because the rm call goes through [JvmBridge.CallJavaMethod](https://github.com/do

especially for less obvious but lengthy code snippets!

Follow the implementation example of ingestion/tests/integration/ometa/test_ometa_database_service_api.py to implement the testing of the Python client for PipelineService.