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[draft] Make xgboost spark support spark-connect #11050

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[draft] Make xgboost spark support spark-connect #11050

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6 changes: 6 additions & 0 deletions python-package/xgboost/spark/core.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1174,6 +1174,10 @@ def _run_job() -> Tuple[str, str]:
_train_booster, # type: ignore
schema="data string",
)
# TODO: In spark connect, use `dataframe.mapInPandas(..., barrier=True)`
# and remove `rdd.barrier().mapPartitions(lambda x: x)`
# and for stage scheduling, similarly, use
# `dataframe.mapInPandas(..., profile=...)` to set resource profile.
.rdd.barrier()
.mapPartitions(lambda x: x)
)
Expand Down Expand Up @@ -1384,6 +1388,8 @@ def _run_on_gpu(self) -> bool:

use_gpu_by_params = super()._run_on_gpu()

# TODO: To support spark connect, we can't use any SparkContext APIs,
# and we can't read any spark configurations. Remove them
if _is_local(_get_spark_session().sparkContext):
# if it's local model, no need to check the spark configurations
return use_gpu_by_params
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