@@ -1079,10 +1079,8 @@ The order of rows in the result is undefined and may change in the future releas
10791079 pair can be passed. It is also allowed to perform a join on multiple columns,
10801080 in which case a vector of column names or column name pairs can be passed
10811081 (mixing names and pairs is allowed).
1082- - `makeunique` : if `false` (the default), an error will be raised
1083- if duplicate names are found in columns not joined on;
1084- if `true`, duplicate names will be suffixed with `_i`
1085- (`i` starting at 1 for the first duplicate).
1082+ - `makeunique` : ignored as no columns are added to `df1` columns
1083+ (it is provided for consistency with other functions).
10861084- `indicator` : Default: `nothing`. If a `Symbol` or string, adds categorical indicator
10871085 column with the given name for whether a row appeared in only `df1` (`"left_only"`),
10881086 only `df2` (`"right_only"`) or in both (`"both"`). If the name is already in use,
@@ -1189,10 +1187,8 @@ The order of rows in the result is undefined and may change in the future releas
11891187 pair can be passed. It is also allowed to perform a join on multiple columns,
11901188 in which case a vector of column names or column name pairs can be passed
11911189 (mixing names and pairs is allowed).
1192- - `makeunique` : if `false` (the default), an error will be raised
1193- if duplicate names are found in columns not joined on;
1194- if `true`, duplicate names will be suffixed with `_i`
1195- (`i` starting at 1 for the first duplicate).
1190+ - `makeunique` : ignored as no columns are added to `df1` columns
1191+ (it is provided for consistency with other functions).
11961192- `validate` : whether to check that columns passed as the `on` argument
11971193 define unique keys in each input data frame (according to `isequal`).
11981194 Can be a tuple or a pair, with the first element indicating whether to
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