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Faster limit computation on persisted dataframes #837

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Oct 10, 2022
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5 changes: 4 additions & 1 deletion dask_sql/physical/rel/logical/limit.py
Original file line number Diff line number Diff line change
Expand Up @@ -3,6 +3,7 @@
import dask.dataframe as dd
from dask import config as dask_config
from dask.blockwise import Blockwise
from dask.highlevelgraph import MaterializedLayer
from dask.layers import DataFrameIOLayer

from dask_sql.datacontainer import DataContainer
Expand Down Expand Up @@ -59,7 +60,9 @@ def _apply_limit(self, df: dd.DataFrame, limit: int, offset: int) -> dd.DataFram
dask_config.get("sql.limit.check-first-partition")
and all(
[
isinstance(layer, (DataFrameIOLayer, Blockwise))
isinstance(
layer, (DataFrameIOLayer, Blockwise, MaterializedLayer)
)
for layer in df.dask.layers.values()
]
)
Expand Down