diff options
| -rw-r--r-- | python/pyspark/sql/dataframe.py | 5 |
1 files changed, 4 insertions, 1 deletions
diff --git a/python/pyspark/sql/dataframe.py b/python/pyspark/sql/dataframe.py index 4b3791e1b8..ad621df910 100644 --- a/python/pyspark/sql/dataframe.py +++ b/python/pyspark/sql/dataframe.py @@ -608,13 +608,16 @@ class DataFrame(object): :param on: a string for join column name, a list of column names, , a join expression (Column) or a list of Columns. If `on` is a string or a list of string indicating the name of the join column(s), - the column(s) must exist on both sides, and this performs an inner equi-join. + the column(s) must exist on both sides, and this performs an equi-join. :param how: str, default 'inner'. One of `inner`, `outer`, `left_outer`, `right_outer`, `leftsemi`. >>> df.join(df2, df.name == df2.name, 'outer').select(df.name, df2.height).collect() [Row(name=None, height=80), Row(name=u'Alice', height=None), Row(name=u'Bob', height=85)] + >>> df.join(df2, 'name', 'outer').select('name', 'height').collect() + [Row(name=u'Tom', height=80), Row(name=u'Alice', height=None), Row(name=u'Bob', height=85)] + >>> cond = [df.name == df3.name, df.age == df3.age] >>> df.join(df3, cond, 'outer').select(df.name, df3.age).collect() [Row(name=u'Bob', age=5), Row(name=u'Alice', age=2)] |