zhengruifeng commented on code in PR #50324:
URL: https://github.com/apache/spark/pull/50324#discussion_r2007076480
##########
python/pyspark/ml/tuning.py:
##########
@@ -847,9 +850,23 @@ def _fit(self, dataset: DataFrame) ->
"CrossValidatorModel":
subModels = [[None for j in range(numModels)] for i in
range(nFolds)]
datasets = self._kFold(dataset)
+
+ tmp_dfs_path = _get_temp_dfs_path()
+ spark_session = SparkSession.getActiveSession()
for i in range(nFolds):
- validation = datasets[i][1].cache()
- train = datasets[i][0].cache()
+ validation = datasets[i][1]
+ train = datasets[i][0]
+
+ if tmp_dfs_path:
Review Comment:
let's define a helper function:
```
def _cache(df):
if ...:
df.cache()
else:
spark = df._session
df.save
spark.read...
```
##########
python/pyspark/ml/tuning.py:
##########
@@ -847,9 +850,23 @@ def _fit(self, dataset: DataFrame) ->
"CrossValidatorModel":
subModels = [[None for j in range(numModels)] for i in
range(nFolds)]
datasets = self._kFold(dataset)
+
+ tmp_dfs_path = _get_temp_dfs_path()
+ spark_session = SparkSession.getActiveSession()
Review Comment:
in other issues, we found `SparkSession` operation maybe pretty slow
```suggestion
spark_session = dataset._session
```
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