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Metadata Function

get(connection, parameters_dict)

A function to return back the metadata by querying databricks SQL Warehouse using a connection specified by the user.

The available connectors by RTDIP are Databricks SQL Connect, PYODBC SQL Connect, TURBODBC SQL Connect.

The available authentcation methods are Certificate Authentication, Client Secret Authentication or Default Authentication. See documentation.

This function requires the user to input a dictionary of parameters. (See Attributes table below)

Parameters:

Name Type Description Default
connection object

Connection chosen by the user (Databricks SQL Connect, PYODBC SQL Connect, TURBODBC SQL Connect)

 required
parameters_dict dict

A dictionary of parameters (see Attributes table below)

 required

Attributes:

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
limit optional int

The number of rows to be returned
offset optional int

The number of rows to skip before returning rows
case_insensitivity_tag_search optional bool

Search for tags using case insensitivity with True or case sensitivity with False

Returns:

Name Type Description
DataFrame DataFrame

A dataframe of metadata.

Warning

Setting case_insensitivity_tag_search to True will result in a longer query time.

Source code in src/sdk/python/rtdip_sdk/queries/metadata.py 
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def get(connection: object, parameters_dict: dict) -> pd.DataFrame:
    """
    A function to return back the metadata by querying databricks SQL Warehouse using a connection specified by the user.

    The available connectors by RTDIP are Databricks SQL Connect, PYODBC SQL Connect, TURBODBC SQL Connect.

    The available authentcation methods are Certificate Authentication, Client Secret Authentication or Default Authentication. See documentation.

    This function requires the user to input a dictionary of parameters. (See Attributes table below)

    Args:
        connection: Connection chosen by the user (Databricks SQL Connect, PYODBC SQL Connect, TURBODBC SQL Connect)
        parameters_dict: A dictionary of parameters (see Attributes table below)

    Attributes:
        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
        limit (optional int): The number of rows to be returned
        offset (optional int): The number of rows to skip before returning rows
        case_insensitivity_tag_search (optional bool): Search for tags using case insensitivity with True or case sensitivity with False

    Returns:
        DataFrame: A dataframe of metadata.

    !!! warning
        Setting `case_insensitivity_tag_search` to True will result in a longer query time.

    """
    try:
        query = _query_builder(parameters_dict, "metadata")

        try:
            cursor = connection.cursor()
            cursor.execute(query)
            df = cursor.fetch_all()
            cursor.close()
            connection.close()
            return df
        except Exception as e:
            logging.exception("error returning dataframe")
            raise e

    except Exception as e:
        logging.exception("error returning metadata function")
        raise e

Example

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

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

data = (
    TimeSeriesQueryBuilder()
    .connect(connection)
    .source("{tablename_or_path}")
    .metadata(
        tagname_filter=["{tag_name_1}", "{tag_name_2}"],
    )
)

print(data)

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().

Note

See Samples Repository for full list of examples.

Note

server_hostname and http_path can be found on the SQL Warehouses Page.