Where can I quickly test custom metric queries?

[HeckGunderson]

I'm working on adapting some custom metrics to add to the tables' dashboard. Right now when I throw in a test query, I need to refresh metrics and it takes 5-10 minutes to let me know I've probably forgotten a parenthesis somewhere.

Where can I test the python style of metric generation more quickly?

As an example from the documentation, is there a query editor I can use to make changes to this:

from databricks.sdk.service.catalog import MonitorMetric, MonitorMetricType
from pyspark.sql import types as T

MonitorMetric(
    type=MonitorMetricType.CUSTOM_METRIC_TYPE_AGGREGATE,
    name="squared_avg",
    input_columns=["f1", "f2"],
    definition="avg(`{{input_column}}`*`{{input_column}}`)",
    output_data_type=T.StructField("output", T.DoubleType()).json(),
)

[Alberto_Umana]

Hi @HeckGunderson,

Have you tried running the code using notebook with your Databricks workspace?

https://docs.databricks.com/en/notebooks/index.html

Also you can do it via CLI using SQL connector.

https://docs.databricks.com/ja/dev-tools/python-sql-connector.html