Reputation: 288
I have one dataframe with this schema:
|-- Activity_A1: string (nullable = true)
|-- Activity_A2: string (nullable = true)
|-- Details: array (nullable = true)
| |-- element: struct (containsNull = true)
| | |-- Agreement_A1: string (nullable = true)
| | |-- Agreement_A2: string (nullable = true)
data:
+-----------+-----------+--------------------------------------------------+
|Activity_A1|Activity_A2|Details |
+-----------+-----------+--------------------------------------------------+
|Act1_Attr1 |Act1_Attr2 |[[Agr2_Attr1,Agr2_Attr2], [Agr1_Attr1,Agr1_Attr2]]|
|Act2_Attr1 |Act2_Attr2 |[[Agr4_Attr1,Agr4_Attr2], [Agr3_Attr1,Agr3_Attr2]]|
|Act3_Attr1 |Act3_Attr2 |[[Agr5_Attr1,Agr5_Attr2]] |
+-----------+-----------+--------------------------------------------------+
And the second one with this schema:
|-- Agreement_A1: string (nullable = true)
| | |-- Lines: array (nullable = true)
| | | |-- element: struct (containsNull = true)
| | | | |-- Line_A1: string (nullable = true)
| | | | |-- Line_A2: string (nullable = true)
How can I join this two dataframes with the Agreement_A1 column, so the schema of this new dataframe would look like this:
|-- Activity_A1: string (nullable = true)
|-- Activity_A2: string (nullable = true)
|-- Details: array (nullable = true)
| |-- element: struct (containsNull = true)
| | |-- Agreement_A1: string (nullable = true)
| | |-- Agreement_A2: string (nullable = true)
| | |-- Lines: array (nullable = true)
| | | |-- element: struct (containsNull = true)
| | | | |-- Line_A1: string (nullable = true)
| | | | |-- Line_A2: string (nullable = true)
Upvotes: 2
Views: 1850
Reputation: 1758
Hope this helps. You need to unnest (explode) "Details" and join on "Agreement_A1" with your second dataframe. Then, structure your columns as desired.
scala> df1.show(false)
+-----------+-----------+----------------------------------------------------+
|Activity_A1|Activity_A2|Details |
+-----------+-----------+----------------------------------------------------+
|Act1_Attr1 |Act1_Attr2 |[[Agr2_Attr1, Agr2_Attr2], [Agr1_Attr1, Agr1_Attr2]]|
|Act2_Attr1 |Act2_Attr2 |[[Agr4_Attr1, Agr4_Attr2], [Agr3_Attr1, Agr3_Attr2]]|
|Act3_Attr1 |Act3_Attr2 |[[Agr5_Attr1, Agr5_Attr2]] |
+-----------+-----------+----------------------------------------------------+
scala> df1.printSchema
root
|-- Activity_A1: string (nullable = true)
|-- Activity_A2: string (nullable = true)
|-- Details: array (nullable = true)
| |-- element: struct (containsNull = true)
| | |-- Agreement_A1: string (nullable = true)
| | |-- Agreement_A2: string (nullable = true)
scala> df2.show(false)
+------------+--------------------------+
|Agreement_A1|Lines |
+------------+--------------------------+
|Agr1_Attr1 |[[A1At1Line1, A1At1Line2]]|
|Agr3_Attr1 |[[A3At1Line1, A3At1Line2]]|
|Agr4_Attr1 |[[A4At1Line1, A4At1Line2]]|
|Agr5_Attr1 |[[A5At1Line1, A5At1Line2]]|
|Agr6_Attr1 |[[A6At1Line1, A6At1Line2]]|
+------------+--------------------------+
scala> df2.printSchema
root
|-- Agreement_A1: string (nullable = true)
|-- Lines: array (nullable = true)
| |-- element: struct (containsNull = true)
| | |-- Line_A1: string (nullable = true)
| | |-- Line_A2: string (nullable = true)
scala> val outputDF = df1.withColumn("DetailsExploded", explode($"Details")).join(
| df2, $"DetailsExploded.Agreement_A1" === $"Agreement_A1").withColumn(
| "DetailsWithAgreementA1Lines", struct($"DetailsExploded.Agreement_A1" as "Agreement_A1", $"DetailsExploded.Agreement_A2" as "Agreement_A2", $"Lines"))
outputDF: org.apache.spark.sql.DataFrame = [Activity_A1: string, Activity_A2: string ... 5 more fields]
scala> outputDF.show(false)
+-----------+-----------+----------------------------------------------------+------------------------+------------+--------------------------+----------------------------------------------------+
|Activity_A1|Activity_A2|Details |DetailsExploded |Agreement_A1|Lines |DetailsWithAgreementA1Lines |
+-----------+-----------+----------------------------------------------------+------------------------+------------+--------------------------+----------------------------------------------------+
|Act1_Attr1 |Act1_Attr2 |[[Agr2_Attr1, Agr2_Attr2], [Agr1_Attr1, Agr1_Attr2]]|[Agr1_Attr1, Agr1_Attr2]|Agr1_Attr1 |[[A1At1Line1, A1At1Line2]]|[Agr1_Attr1, Agr1_Attr2, [[A1At1Line1, A1At1Line2]]]|
|Act2_Attr1 |Act2_Attr2 |[[Agr4_Attr1, Agr4_Attr2], [Agr3_Attr1, Agr3_Attr2]]|[Agr3_Attr1, Agr3_Attr2]|Agr3_Attr1 |[[A3At1Line1, A3At1Line2]]|[Agr3_Attr1, Agr3_Attr2, [[A3At1Line1, A3At1Line2]]]|
|Act2_Attr1 |Act2_Attr2 |[[Agr4_Attr1, Agr4_Attr2], [Agr3_Attr1, Agr3_Attr2]]|[Agr4_Attr1, Agr4_Attr2]|Agr4_Attr1 |[[A4At1Line1, A4At1Line2]]|[Agr4_Attr1, Agr4_Attr2, [[A4At1Line1, A4At1Line2]]]|
|Act3_Attr1 |Act3_Attr2 |[[Agr5_Attr1, Agr5_Attr2]] |[Agr5_Attr1, Agr5_Attr2]|Agr5_Attr1 |[[A5At1Line1, A5At1Line2]]|[Agr5_Attr1, Agr5_Attr2, [[A5At1Line1, A5At1Line2]]]|
+-----------+-----------+----------------------------------------------------+------------------------+------------+--------------------------+----------------------------------------------------+
scala> outputDF.printSchema
root
|-- Activity_A1: string (nullable = true)
|-- Activity_A2: string (nullable = true)
|-- Details: array (nullable = true)
| |-- element: struct (containsNull = true)
| | |-- Agreement_A1: string (nullable = true)
| | |-- Agreement_A2: string (nullable = true)
|-- DetailsExploded: struct (nullable = true)
| |-- Agreement_A1: string (nullable = true)
| |-- Agreement_A2: string (nullable = true)
|-- Agreement_A1: string (nullable = true)
|-- Lines: array (nullable = true)
| |-- element: struct (containsNull = true)
| | |-- Line_A1: string (nullable = true)
| | |-- Line_A2: string (nullable = true)
|-- DetailsWithAgreementA1Lines: struct (nullable = false)
| |-- Agreement_A1: string (nullable = true)
| |-- Agreement_A2: string (nullable = true)
| |-- Lines: array (nullable = true)
| | |-- element: struct (containsNull = true)
| | | |-- Line_A1: string (nullable = true)
| | | |-- Line_A2: string (nullable = true)
scala> outputDF.groupBy("Activity_A1", "Activity_A2").agg(collect_list($"DetailsWithAgreementA1Lines") as "Details").show(false)
+-----------+-----------+------------------------------------------------------------------------------------------------------------+
|Activity_A1|Activity_A2|Details |
+-----------+-----------+------------------------------------------------------------------------------------------------------------+
|Act1_Attr1 |Act1_Attr2 |[[Agr1_Attr1, Agr1_Attr2, [[A1At1Line1, A1At1Line2]]]] |
|Act2_Attr1 |Act2_Attr2 |[[Agr3_Attr1, Agr3_Attr2, [[A3At1Line1, A3At1Line2]]], [Agr4_Attr1, Agr4_Attr2, [[A4At1Line1, A4At1Line2]]]]|
|Act3_Attr1 |Act3_Attr2 |[[Agr5_Attr1, Agr5_Attr2, [[A5At1Line1, A5At1Line2]]]] |
+-----------+-----------+------------------------------------------------------------------------------------------------------------+
scala> outputDF.groupBy("Activity_A1", "Activity_A2").agg(collect_list($"DetailsWithAgreementA1Lines") as "Details").printSchema
root
|-- Activity_A1: string (nullable = true)
|-- Activity_A2: string (nullable = true)
|-- Details: array (nullable = true)
| |-- element: struct (containsNull = true)
| | |-- Agreement_A1: string (nullable = true)
| | |-- Agreement_A2: string (nullable = true)
| | |-- Lines: array (nullable = true)
| | | |-- element: struct (containsNull = true)
| | | | |-- Line_A1: string (nullable = true)
| | | | |-- Line_A2: string (nullable = true)
Upvotes: 4