Yikun commented on a change in pull request #35191:
URL: https://github.com/apache/spark/pull/35191#discussion_r784446470
##########
File path: python/pyspark/pandas/series.py
##########
@@ -5228,22 +5228,62 @@ def asof(self, where: Union[Any, List]) ->
Union[Scalar, "Series"]:
where = [where]
index_scol = self._internal.index_spark_columns[0]
index_type = self._internal.spark_type_for(index_scol)
+ from pyspark.sql.functions import struct, lit, explode, col, row_number
+
+ column_prefix_constant = "col_"
cond = [
- F.max(F.when(index_scol <= SF.lit(index).cast(index_type),
self.spark.column))
+ F.when(
+ index_scol <= SF.lit(index).cast(index_type),
+ struct(
+ lit(column_prefix_constant +
str(index)).alias("identifier"),
+ self.spark.column.alias("Koalas"),
+ ),
+ ).alias(column_prefix_constant + str(index))
for index in where
]
+ cond.append(index_scol)
sdf = self._internal.spark_frame.select(cond)
+ columns = [cols for cols in sdf.columns if cols.startswith("col")]
+ sdf = sdf.withColumn("combined_cols", F.array(columns)).drop(*columns)
+ sdf = (
+ sdf.select(index_scol, explode("combined_cols").alias("values"))
+ .withColumn("identifier", col("values.identifier"))
+ .withColumn("value", col("values.Koalas"))
+ .drop("values")
+ .na.drop(subset="value")
Review comment:
BTW, there was [a complain in lint
CI](https://github.com/pralabhkumar/spark/runs/4801311278?check_suite_focus=true#step:15:23),
it should be a bug on type hint of `na.drop`, I submit the fixed on [1].
You could just use `dropna(subset="value")` instead of
`.na.drop(subset="value")` to work around.
[1] https://github.com/apache/spark/pull/35201
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