Hi,

is it possible to define enum mappings WITHOUT using attributes, maybe with some kind of fluent API? The only possibility I see right now is to use the MapValue attribute:

public enum Gender
{
	[MapValue("M")] Male,
	[MapValue("F")] Female,
	[MapValue("U")] Unknown,
	[MapValue("O")] Other,
}

But I don't like this approach (see my longer explanation below). Thank you in

问题描述：关于工程中某个工作流节点单独执行不报错，保存工作流时提示：NotClassDefFoundError：Cloud not initialize class dispatch.Http$

问题原因：linkis-publish微服务关于netty-3.6.2.Final.jar升级包缺失

问题解决：将升级包上传重启linkis-publish微服务即可。

The functions in this file should be factored out to a separate utility lib as they are reused in bitcoin-etl https://github.com/blockchain-etl/ethereum-etl/blob/develop/ethereumetl/misc_utils.py

Describe the ideal solution

We need a new endpoint that functions as getIntegrationById endpoint.

Describe your use cases

We currently fetching all integration via appsync (or more specifically a sub-category of integrations based on integrationType) and iterate until we find one that matches the integrationId passed.

How frequently would you use such feature

Although, we

if they are not class methods then the method would be invoked for every test and a session would be created for each of those tests.

`class PySparkTest(unittest.TestCase):
@classmethod
def suppress_py4j_logging(cls):
logger = logging.getLogger('py4j')
logger.setLevel(logging.WARN)

@classmethod
def create_testing_pyspark_session(cls):
    return Sp

currently Metorikku is using a simple YAML config file as input.
we need to be able to override this configuration using CLI params