How merge 3 DataFrame in Spark-Scala? I completly don't have any Idea how I can make this. On stackOverFlow I can't found similar example.
I have 3 similar DataFrames. The same name of Column, and the same number of them. Difference is only a value on rows.
DataFrame1:
+----+------+----+---+
|type| Model|Name|ID |
+----+------+----+---+
| 1 |wdasd |xyzd|111|
| 1 |wd |zdfd|112|
| 1 |bdp |2gfs|113|
+----+------+----+---+
DataFrame2:
+----+------+----+---+
|type| Model|Name|ID |
+----+------+----+---+
| 2 |wdasd |xyzd|221|
| 2 |wd |zdfd|222|
| 2 |bdp |2gfs|223|
+----+------+----+---+
DataFrame3:
+----+------+----+---+
|type| Model|Name|ID |
+----+------+----+---+
| 3 |AAAA |N_AM|331|
| 3 |BBBB |NA_M|332|
| 3 |CCCC |MA_N|333|
+----+------+----+---+
And I want to this type of DataFrame
MergeDataFrame:
+----+------+----+---+
|type| Model|Name|ID |
+----+------+----+---+
| 1 |wdasd |xyzd|111|
| 1 |wd |zdfd|112|
| 1 |bdp |2gfs|113|
| 2 |wdasd |xyzd|221|
| 2 |wd |zdfd|222|
| 2 |bdp |2gfs|223|
| 3 |AAAA |N_AM|331|
| 3 |BBBB |NA_M|332|
| 3 |CCCC |MA_N|333|
+----+------+----+---+