DataFrame.
sort
Returns a new DataFrame sorted by the specified column(s).
DataFrame
New in version 1.3.0.
Column
list of Column or column names to sort by.
boolean or list of boolean (default True). Sort ascending vs. descending. Specify list for multiple sort orders. If a list is specified, length of the list must equal length of the cols.
True
Examples
>>> df.sort(df.age.desc()).collect() [Row(age=5, name='Bob'), Row(age=2, name='Alice')] >>> df.sort("age", ascending=False).collect() [Row(age=5, name='Bob'), Row(age=2, name='Alice')] >>> df.orderBy(df.age.desc()).collect() [Row(age=5, name='Bob'), Row(age=2, name='Alice')] >>> from pyspark.sql.functions import * >>> df.sort(asc("age")).collect() [Row(age=2, name='Alice'), Row(age=5, name='Bob')] >>> df.orderBy(desc("age"), "name").collect() [Row(age=5, name='Bob'), Row(age=2, name='Alice')] >>> df.orderBy(["age", "name"], ascending=[0, 1]).collect() [Row(age=5, name='Bob'), Row(age=2, name='Alice')]