[ https://issues.apache.org/jira/browse/SPARK-41898?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sandeep Singh updated SPARK-41898: ---------------------------------- Description: {code:java} df = self.spark.createDataFrame([(1, "1"), (2, "2"), (1, "2"), (1, "2")], ["key", "value"]) w = Window.partitionBy("value").orderBy("key") from pyspark.sql import functions as F sel = df.select( df.value, df.key, F.max("key").over(w.rowsBetween(0, 1)), F.min("key").over(w.rowsBetween(0, 1)), F.count("key").over(w.rowsBetween(float("-inf"), float("inf"))), F.row_number().over(w), F.rank().over(w), F.dense_rank().over(w), F.ntile(2).over(w), ) rs = sorted(sel.collect()){code} {code:java} Traceback (most recent call last): File "/Users/s.singh/personal/spark-oss/python/pyspark/sql/tests/test_functions.py", line 821, in test_window_functions F.count("key").over(w.rowsBetween(float("-inf"), float("inf"))), File "/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/window.py", line 152, in rowsBetween raise TypeError(f"start must be a int, but got {type(start).__name__}") TypeError: start must be a int, but got float {code} was: {code:java} from pyspark.sql.functions import assert_true df = self.spark.range(3) self.assertEqual( df.select(assert_true(df.id < 3)).toDF("val").collect(), [Row(val=None), Row(val=None), Row(val=None)], ) with self.assertRaises(Py4JJavaError) as cm: df.select(assert_true(df.id < 2, "too big")).toDF("val").collect(){code} {code:java} df = self.spark.createDataFrame([(1, "1"), (2, "2"), (1, "2"), (1, "2")], ["key", "value"]) w = Window.partitionBy("value").orderBy("key") from pyspark.sql import functions as F sel = df.select( df.value, df.key, F.max("key").over(w.rowsBetween(0, 1)), F.min("key").over(w.rowsBetween(0, 1)), F.count("key").over(w.rowsBetween(float("-inf"), float("inf"))), F.row_number().over(w), F.rank().over(w), F.dense_rank().over(w), F.ntile(2).over(w), ) rs = sorted(sel.collect()){code} > Window.rowsBetween should handle `float("-inf")` and `float("+inf")` as > argument > -------------------------------------------------------------------------------- > > Key: SPARK-41898 > URL: https://issues.apache.org/jira/browse/SPARK-41898 > Project: Spark > Issue Type: Sub-task > Components: Connect > Affects Versions: 3.4.0 > Reporter: Sandeep Singh > Priority: Major > > {code:java} > df = self.spark.createDataFrame([(1, "1"), (2, "2"), (1, "2"), (1, "2")], > ["key", "value"]) > w = Window.partitionBy("value").orderBy("key") > from pyspark.sql import functions as F > sel = df.select( > df.value, > df.key, > F.max("key").over(w.rowsBetween(0, 1)), > F.min("key").over(w.rowsBetween(0, 1)), > F.count("key").over(w.rowsBetween(float("-inf"), float("inf"))), > F.row_number().over(w), > F.rank().over(w), > F.dense_rank().over(w), > F.ntile(2).over(w), > ) > rs = sorted(sel.collect()){code} > {code:java} > Traceback (most recent call last): File > "/Users/s.singh/personal/spark-oss/python/pyspark/sql/tests/test_functions.py", > line 821, in test_window_functions > F.count("key").over(w.rowsBetween(float("-inf"), float("inf"))), File > "/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/window.py", > line 152, in rowsBetween raise TypeError(f"start must be a int, but got > {type(start).__name__}") TypeError: start must be a int, but got float {code} -- This message was sent by Atlassian Jira (v8.20.10#820010) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org