Sort Spark Dataframe with two columns in different order
Let's say, I have a table like this:
A,B
2,6
1,2
1,3
1,5
2,3
I want to sort it with ascending order for column A but within that I want to sort it in descending order of column B, like this:
A,B
1,5
1,3
1,2
2,6
2,3
I have tried to use orderBy("A", desc("B")) but it gives an error.
How should I write the query using dataframe in Spark 2.0?
scala sorting apache-spark dataframe apache-spark-sql
edited Nov 27 '18 at 5:58
Shaido
12.6k122742
asked Nov 27 '18 at 3:33
kellokello
428
add a comment |
Let's say, I have a table like this:
A,B
2,6
1,2
1,3
1,5
2,3
I want to sort it with ascending order for column A but within that I want to sort it in descending order of column B, like this:
A,B
1,5
1,3
1,2
2,6
2,3
I have tried to use orderBy("A", desc("B")) but it gives an error.
How should I write the query using dataframe in Spark 2.0?
scala sorting apache-spark dataframe apache-spark-sql
edited Nov 27 '18 at 5:58
Shaido
12.6k122742
asked Nov 27 '18 at 3:33
kellokello
428
add a comment |
Let's say, I have a table like this:
A,B
2,6
1,2
1,3
1,5
2,3
I want to sort it with ascending order for column A but within that I want to sort it in descending order of column B, like this:
A,B
1,5
1,3
1,2
2,6
2,3
I have tried to use orderBy("A", desc("B")) but it gives an error.
How should I write the query using dataframe in Spark 2.0?
scala sorting apache-spark dataframe apache-spark-sql
edited Nov 27 '18 at 5:58
Shaido
12.6k122742
asked Nov 27 '18 at 3:33
kellokello
428
Let's say, I have a table like this:
A,B
2,6
1,2
1,3
1,5
2,3
I want to sort it with ascending order for column A but within that I want to sort it in descending order of column B, like this:
A,B
1,5
1,3
1,2
2,6
2,3
I have tried to use orderBy("A", desc("B")) but it gives an error.
How should I write the query using dataframe in Spark 2.0?
scala sorting apache-spark dataframe apache-spark-sql
scala sorting apache-spark dataframe apache-spark-sql
edited Nov 27 '18 at 5:58
Shaido
12.6k122742
asked Nov 27 '18 at 3:33
kellokello
428
edited Nov 27 '18 at 5:58
Shaido
12.6k122742
asked Nov 27 '18 at 3:33
kellokello
428
edited Nov 27 '18 at 5:58
Shaido
12.6k122742
edited Nov 27 '18 at 5:58
Shaido
12.6k122742
edited Nov 27 '18 at 5:58
Shaido
12.6k122742
12.6k122742
asked Nov 27 '18 at 3:33
kellokello
428
asked Nov 27 '18 at 3:33
kellokello
428
asked Nov 27 '18 at 3:33
kellokello
428
428
add a comment |
add a comment |
2 Answers
2
active
oldest
votes
Use Column method desc, as shown below:
val df = Seq(
(2,6), (1,2), (1,3), (1,5), (2,3)
).toDF("A", "B")
df.orderBy($"A", $"B".desc).show
// +---+---+
// | A| B|
// +---+---+
// | 1| 5|
// | 1| 3|
// | 1| 2|
// | 2| 6|
// | 2| 3|
// +---+---+
answered Nov 27 '18 at 3:46
Leo CLeo C
11.2k2719
I like to be as explicit as possible, so I would use the asc on the first column ($"A".asc), even if the default behavior is to sort ascending.
– Luis Miguel Mejía Suárez
Nov 27 '18 at 15:22
add a comment |
desc is the correct method to use, however, not that it is a method in the Columnn class. It should therefore be applied as follows:
df.orderBy($"A", $"B".desc)
$"B".desc returns a column so "A" must also be changed to $"A" (or col("A") if spark implicits isn't imported).
answered Nov 27 '18 at 3:47
ShaidoShaido
12.6k122742
add a comment |
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
Use Column method desc, as shown below:
val df = Seq(
(2,6), (1,2), (1,3), (1,5), (2,3)
).toDF("A", "B")
df.orderBy($"A", $"B".desc).show
// +---+---+
// | A| B|
// +---+---+
// | 1| 5|
// | 1| 3|
// | 1| 2|
// | 2| 6|
// | 2| 3|
// +---+---+
answered Nov 27 '18 at 3:46
Leo CLeo C
11.2k2719
I like to be as explicit as possible, so I would use the asc on the first column ($"A".asc), even if the default behavior is to sort ascending.
– Luis Miguel Mejía Suárez
Nov 27 '18 at 15:22
add a comment |
Use Column method desc, as shown below:
val df = Seq(
(2,6), (1,2), (1,3), (1,5), (2,3)
).toDF("A", "B")
df.orderBy($"A", $"B".desc).show
// +---+---+
// | A| B|
// +---+---+
// | 1| 5|
// | 1| 3|
// | 1| 2|
// | 2| 6|
// | 2| 3|
// +---+---+
answered Nov 27 '18 at 3:46
Leo CLeo C
11.2k2719
I like to be as explicit as possible, so I would use the asc on the first column ($"A".asc), even if the default behavior is to sort ascending.
– Luis Miguel Mejía Suárez
Nov 27 '18 at 15:22
add a comment |
Use Column method desc, as shown below:
val df = Seq(
(2,6), (1,2), (1,3), (1,5), (2,3)
).toDF("A", "B")
df.orderBy($"A", $"B".desc).show
// +---+---+
// | A| B|
// +---+---+
// | 1| 5|
// | 1| 3|
// | 1| 2|
// | 2| 6|
// | 2| 3|
// +---+---+
answered Nov 27 '18 at 3:46
Leo CLeo C
11.2k2719
Use Column method desc, as shown below:
val df = Seq(
(2,6), (1,2), (1,3), (1,5), (2,3)
).toDF("A", "B")
df.orderBy($"A", $"B".desc).show
// +---+---+
// | A| B|
// +---+---+
// | 1| 5|
// | 1| 3|
// | 1| 2|
// | 2| 6|
// | 2| 3|
// +---+---+
answered Nov 27 '18 at 3:46
Leo CLeo C
11.2k2719
answered Nov 27 '18 at 3:46
Leo CLeo C
11.2k2719
answered Nov 27 '18 at 3:46
Leo CLeo C
11.2k2719
answered Nov 27 '18 at 3:46
Leo CLeo C
11.2k2719
11.2k2719
I like to be as explicit as possible, so I would use the asc on the first column ($"A".asc), even if the default behavior is to sort ascending.
– Luis Miguel Mejía Suárez
Nov 27 '18 at 15:22
add a comment |
I like to be as explicit as possible, so I would use the asc on the first column ($"A".asc), even if the default behavior is to sort ascending.
– Luis Miguel Mejía Suárez
Nov 27 '18 at 15:22
I like to be as explicit as possible, so I would use the asc on the first column (
$"A".asc), even if the default behavior is to sort ascending.– Luis Miguel Mejía Suárez
Nov 27 '18 at 15:22
I like to be as explicit as possible, so I would use the asc on the first column (
$"A".asc), even if the default behavior is to sort ascending.– Luis Miguel Mejía Suárez
Nov 27 '18 at 15:22
add a comment |
desc is the correct method to use, however, not that it is a method in the Columnn class. It should therefore be applied as follows:
df.orderBy($"A", $"B".desc)
$"B".desc returns a column so "A" must also be changed to $"A" (or col("A") if spark implicits isn't imported).
answered Nov 27 '18 at 3:47
ShaidoShaido
12.6k122742
add a comment |
desc is the correct method to use, however, not that it is a method in the Columnn class. It should therefore be applied as follows:
df.orderBy($"A", $"B".desc)
$"B".desc returns a column so "A" must also be changed to $"A" (or col("A") if spark implicits isn't imported).
answered Nov 27 '18 at 3:47
ShaidoShaido
12.6k122742
add a comment |
desc is the correct method to use, however, not that it is a method in the Columnn class. It should therefore be applied as follows:
df.orderBy($"A", $"B".desc)
$"B".desc returns a column so "A" must also be changed to $"A" (or col("A") if spark implicits isn't imported).
answered Nov 27 '18 at 3:47
ShaidoShaido
12.6k122742
desc is the correct method to use, however, not that it is a method in the Columnn class. It should therefore be applied as follows:
df.orderBy($"A", $"B".desc)
$"B".desc returns a column so "A" must also be changed to $"A" (or col("A") if spark implicits isn't imported).
answered Nov 27 '18 at 3:47
ShaidoShaido
12.6k122742
answered Nov 27 '18 at 3:47
ShaidoShaido
12.6k122742
answered Nov 27 '18 at 3:47
ShaidoShaido
12.6k122742
answered Nov 27 '18 at 3:47
ShaidoShaido
12.6k122742
12.6k122742
add a comment |
add a comment |
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