Sandeep Singh created SPARK-41828: ------------------------------------- Summary: Implement creating empty Dataframe Key: SPARK-41828 URL: https://issues.apache.org/jira/browse/SPARK-41828 Project: Spark Issue Type: Sub-task Components: Connect Affects Versions: 3.4.0 Reporter: Sandeep Singh
{code:java} File "/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/dataframe.py", line 302, in pyspark.sql.connect.dataframe.DataFrame.groupBy Failed example: df.groupBy(["name", df.age]).count().sort("name", "age").show() Exception raised: Traceback (most recent call last): File "/usr/local/Cellar/python@3.10/3.10.8/Frameworks/Python.framework/Versions/3.10/lib/python3.10/doctest.py", line 1350, in __run exec(compile(example.source, filename, "single", File "<doctest pyspark.sql.connect.dataframe.DataFrame.groupBy[4]>", line 1, in <module> df.groupBy(["name", df.age]).count().sort("name", "age").show() File "/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/dataframe.py", line 251, in groupBy raise TypeError( TypeError: groupBy requires all cols be Column or str, but got list ['name', Column<'ColumnReference(age)'>]{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