Join a dataframe with a column from another, based on a common column
0
I have two pyspark dataframes:
| A | B | C |
| 21 | 999 | 1000|
| 22 | 786 | 1978|
| 23 | 345 | 1563|
and
| A | D | E |
| 21 | aaa | a12 |
| 22 | bbb | b43 |
| 23 | ccc | h67 |
Desired result:
| A | B | C | E |
| 21 | 999 | 1000| a12 |
| 22 | 786 | 1978| b43 |
| 23 | 345 | 1563| h67 |
I tried using join, even df1.join(df2.E, df1.A == df2.A) to no avail.
python apache-spark pyspark pyspark-sql
asked Nov 14 '18 at 14:11
QubixQubix
77721327
add a comment |
0
I have two pyspark dataframes:
| A | B | C |
| 21 | 999 | 1000|
| 22 | 786 | 1978|
| 23 | 345 | 1563|
and
| A | D | E |
| 21 | aaa | a12 |
| 22 | bbb | b43 |
| 23 | ccc | h67 |
Desired result:
| A | B | C | E |
| 21 | 999 | 1000| a12 |
| 22 | 786 | 1978| b43 |
| 23 | 345 | 1563| h67 |
I tried using join, even df1.join(df2.E, df1.A == df2.A) to no avail.
python apache-spark pyspark pyspark-sql
asked Nov 14 '18 at 14:11
QubixQubix
77721327
Possible duplicate of pandas: merge (join) two data frames on multiple columns
– Sotos
Nov 14 '18 at 14:33
df1.join(df2, "A").select("A", "B", "C", "E")
– shay__
Nov 14 '18 at 14:36
add a comment |
0
0
0
I have two pyspark dataframes:
| A | B | C |
| 21 | 999 | 1000|
| 22 | 786 | 1978|
| 23 | 345 | 1563|
and
| A | D | E |
| 21 | aaa | a12 |
| 22 | bbb | b43 |
| 23 | ccc | h67 |
Desired result:
| A | B | C | E |
| 21 | 999 | 1000| a12 |
| 22 | 786 | 1978| b43 |
| 23 | 345 | 1563| h67 |
I tried using join, even df1.join(df2.E, df1.A == df2.A) to no avail.
python apache-spark pyspark pyspark-sql
asked Nov 14 '18 at 14:11
QubixQubix
77721327
I have two pyspark dataframes:
| A | B | C |
| 21 | 999 | 1000|
| 22 | 786 | 1978|
| 23 | 345 | 1563|
and
| A | D | E |
| 21 | aaa | a12 |
| 22 | bbb | b43 |
| 23 | ccc | h67 |
Desired result:
| A | B | C | E |
| 21 | 999 | 1000| a12 |
| 22 | 786 | 1978| b43 |
| 23 | 345 | 1563| h67 |
I tried using join, even df1.join(df2.E, df1.A == df2.A) to no avail.
python apache-spark pyspark pyspark-sql
python apache-spark pyspark pyspark-sql
asked Nov 14 '18 at 14:11
QubixQubix
77721327
asked Nov 14 '18 at 14:11
QubixQubix
77721327
edited Nov 14 '18 at 14:31
Qubix
asked Nov 14 '18 at 14:11
QubixQubix
77721327
asked Nov 14 '18 at 14:11
QubixQubix
77721327
asked Nov 14 '18 at 14:11
QubixQubix
77721327
77721327
Possible duplicate of pandas: merge (join) two data frames on multiple columns
– Sotos
Nov 14 '18 at 14:33
df1.join(df2, "A").select("A", "B", "C", "E")
– shay__
Nov 14 '18 at 14:36
add a comment |
Possible duplicate of pandas: merge (join) two data frames on multiple columns
– Sotos
Nov 14 '18 at 14:33
df1.join(df2, "A").select("A", "B", "C", "E")
– shay__
Nov 14 '18 at 14:36
Possible duplicate of pandas: merge (join) two data frames on multiple columns
– Sotos
Nov 14 '18 at 14:33
Possible duplicate of pandas: merge (join) two data frames on multiple columns
– Sotos
Nov 14 '18 at 14:33
df1.join(df2, "A").select("A", "B", "C", "E")– shay__
Nov 14 '18 at 14:36
df1.join(df2, "A").select("A", "B", "C", "E")– shay__
Nov 14 '18 at 14:36
add a comment |
2 Answers
2
active
oldest
votes
1
I think this code does what you want:
joinedDF = df1.join(df2.select('A', 'E'), ['A'])
answered Nov 14 '18 at 14:36
Ali AzGAli AzG
6971616
add a comment |
1
When you are trying to join the 2 dataframe using the function join it takes 3 arguments.
- arg-1 : another dataframe which you need to join.
- arg-2 : columns based on which you need to join the dataframes.
- arg-3 : Type of join you want to perform. by default its inner join.
PFB sample code.
df1.join(df2, df1.id == df2.id, 'outer')
You can find more details here.
Regards,
Neeraj
answered Nov 19 '18 at 14:07
neeraj bhadanineeraj bhadani
837312
add a comment |
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
1
I think this code does what you want:
joinedDF = df1.join(df2.select('A', 'E'), ['A'])
answered Nov 14 '18 at 14:36
Ali AzGAli AzG
6971616
add a comment |
1
I think this code does what you want:
joinedDF = df1.join(df2.select('A', 'E'), ['A'])
answered Nov 14 '18 at 14:36
Ali AzGAli AzG
6971616
add a comment |
1
1
1
I think this code does what you want:
joinedDF = df1.join(df2.select('A', 'E'), ['A'])
answered Nov 14 '18 at 14:36
Ali AzGAli AzG
6971616
I think this code does what you want:
joinedDF = df1.join(df2.select('A', 'E'), ['A'])
answered Nov 14 '18 at 14:36
Ali AzGAli AzG
6971616
answered Nov 14 '18 at 14:36
Ali AzGAli AzG
6971616
answered Nov 14 '18 at 14:36
Ali AzGAli AzG
6971616
answered Nov 14 '18 at 14:36
Ali AzGAli AzG
6971616
6971616
add a comment |
add a comment |
1
When you are trying to join the 2 dataframe using the function join it takes 3 arguments.
- arg-1 : another dataframe which you need to join.
- arg-2 : columns based on which you need to join the dataframes.
- arg-3 : Type of join you want to perform. by default its inner join.
PFB sample code.
df1.join(df2, df1.id == df2.id, 'outer')
You can find more details here.
Regards,
Neeraj
answered Nov 19 '18 at 14:07
neeraj bhadanineeraj bhadani
837312
add a comment |
1
When you are trying to join the 2 dataframe using the function join it takes 3 arguments.
- arg-1 : another dataframe which you need to join.
- arg-2 : columns based on which you need to join the dataframes.
- arg-3 : Type of join you want to perform. by default its inner join.
PFB sample code.
df1.join(df2, df1.id == df2.id, 'outer')
You can find more details here.
Regards,
Neeraj
answered Nov 19 '18 at 14:07
neeraj bhadanineeraj bhadani
837312
add a comment |
1
1
1
When you are trying to join the 2 dataframe using the function join it takes 3 arguments.
- arg-1 : another dataframe which you need to join.
- arg-2 : columns based on which you need to join the dataframes.
- arg-3 : Type of join you want to perform. by default its inner join.
PFB sample code.
df1.join(df2, df1.id == df2.id, 'outer')
You can find more details here.
Regards,
Neeraj
answered Nov 19 '18 at 14:07
neeraj bhadanineeraj bhadani
837312
When you are trying to join the 2 dataframe using the function join it takes 3 arguments.
- arg-1 : another dataframe which you need to join.
- arg-2 : columns based on which you need to join the dataframes.
- arg-3 : Type of join you want to perform. by default its inner join.
PFB sample code.
df1.join(df2, df1.id == df2.id, 'outer')
You can find more details here.
Regards,
Neeraj
answered Nov 19 '18 at 14:07
neeraj bhadanineeraj bhadani
837312
answered Nov 19 '18 at 14:07
neeraj bhadanineeraj bhadani
837312
answered Nov 19 '18 at 14:07
neeraj bhadanineeraj bhadani
837312
answered Nov 19 '18 at 14:07
neeraj bhadanineeraj bhadani
837312
837312
add a comment |
add a comment |
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Possible duplicate of pandas: merge (join) two data frames on multiple columns
– Sotos
Nov 14 '18 at 14:33
df1.join(df2, "A").select("A", "B", "C", "E")– shay__
Nov 14 '18 at 14:36