Hyukjin Kwon created SPARK-31895: ------------------------------------ Summary: df.explain("mode") should work in PySpark side as well for consistency Key: SPARK-31895 URL: https://issues.apache.org/jira/browse/SPARK-31895 Project: Spark Issue Type: Bug Components: PySpark Affects Versions: 3.0.0 Reporter: Hyukjin Kwon
Scala: {code} scala> spark.range(10).explain("cost") == Optimized Logical Plan == Range (0, 10, step=1, splits=Some(12)), Statistics(sizeInBytes=80.0 B) == Physical Plan == *(1) Range (0, 10, step=1, splits=12) {code} PySpark: {code} >>> spark.range(10).explain("cost") Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/.../spark/python/pyspark/sql/dataframe.py", line 333, in explain raise TypeError(err_msg) TypeError: extended (optional) should be provided as bool, got <class 'str'> {code} -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org