Comments (1)
Here's another example, where I struggle to turn off query planning: I'm using plateau to load a dask dataframe from disk:
import dask
import pandas as pd
from tempfile import TemporaryDirectory
from plateau.io.dask.dataframe import read_dataset_as_ddf
from plateau.io.eager import store_dataframes_as_dataset
dataset_dir = TemporaryDirectory()
store_url = f"hfs://{dataset_dir.name}"
def create_plateau_dataset():
store_dataframes_as_dataset(
dfs=[pd.DataFrame({"x": [1, 2, 3], "y": [3, 4, 5]})],
dataset_uuid="abc123",
store=store_url,
)
if __name__ == "__main__":
create_plateau_dataset()
with dask.config.set({"dataframe.query-planning": False}):
ddf = read_dataset_as_ddf(dataset_uuid="abc123", store=store_url)
print(hasattr(ddf, "_expr")) # True
Here, I wouldn't know which modules to reload to get the desired behavior.
from dask.
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from dask.