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Feature: Add spark cache.count() and display limit for koalas #39

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Merged
merged 1 commit into from
Mar 10, 2023
+6 −1
Merged

Feature: Add spark cache.count() and display limit for koalas #39

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add spark optim
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@Vincent-Maladiere
Vincent-Maladiere committed Mar 9, 2023
commit 9a64218c3cabf779baa9f649c517aba868f5c745
1 change: 1 addition & 0 deletions eds_scikit/__init__.py
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Expand Up @@ -57,6 +57,7 @@ def koalas_options() -> None:

ks.set_option("compute.default_index_type", "distributed")
ks.set_option("compute.ops_on_diff_frames", True)
ks.set_option("display.max_rows", 50)


def set_env_variables() -> None:
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6 changes: 5 additions & 1 deletion eds_scikit/utils/custom_implem/custom_implem.py
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Expand Up @@ -70,7 +70,11 @@ def cache(cls, df, backend=None):
# no-op
return
elif backend is ks:
df.spark.cache()
# Cache using count(), a simple action that trigger the
# eager mode and effectively cache the dataframe.
# See this link for more details about the count trick:
# https://stackoverflow.com/a/44002485
df.spark.cache().count()
return
else:
raise NotImplementedError(
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