Metadata

Metadata queries provide contextual information for time series measurements and include information such as names, descriptions and units of measure.

Prerequisites

Ensure you have installed the RTDIP SDK as specified in the Getting Started section.

This example is using DefaultAuth() and DatabricksSQLConnection() to authenticate and connect. You can find other ways to authenticate here. The alternative built in connection methods are either by PYODBCSQLConnection(), TURBODBCSQLConnection() or SparkConnection().

Parameters

Name	Type	Description
business_unit	str	Business unit
region	str	Region
asset	str	Asset
data_security_level	str	Level of data security
tag_names	(optional, list)	Either pass a list of tagname/tagnames ["tag_1", "tag_2"] or leave the list blank [] or leave the parameter out completely

Example

from rtdip_sdk.authentication.azure import DefaultAuth
from rtdip_sdk.connectors import DatabricksSQLConnection
from rtdip_sdk.queries import metadata

auth = DefaultAuth().authenticate()
token = auth.get_token("2ff814a6-3304-4ab8-85cb-cd0e6f879c1d/.default").token
connection = DatabricksSQLConnection("{server_hostname}", "{http_path}", token)

parameters = {
    "business_unit": "{business_unit}",
    "region": "{region}", 
    "asset": "{asset_name}", 
    "data_security_level": "{security_level}", 
    "tag_names": ["{tag_name_1}", "{tag_name_2}"],
}
x = metadata.get(connection, parameters)
print(x)