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Adding Compute Kind Badges in Dagster

schedule Aug 12, 2023
Last updated
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Adding a computation badge

To indicate what framework/library (e.g. pandas, spark) we use for creating the asset, we can specify the compute_kind property like so:

from dagster import asset
import pandas as pd

@asset(name="iris_data", compute_kind="pandas")
def get_iris_data():
df = pd.read_csv("https://raw.githubusercontent.com/SkyTowner/sample_data/main/iris_data.csv")
return df

@asset(name="setosa", compute_kind="pandas")
def get_setosa(iris_data):
return iris_data.query("species == 0")

In the Dagster UI, we should now see the following:

Other common compute_kind is python, spark, sql, matplotlib, numpy and dbt. For instance, let's see how the python and spark compute badges look like:

Custom computation badge

We can also add our own compute_kind - the downside is that we don't get a nice icon:

For now, we are not able to create our own icons in Dagster 😞.

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Published by Isshin Inada
Edited by 0 others
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