स्पार्क एसक्यूएल में दो डेटाफ्रेम बदलना

यहां नमूना कोड है जिसका आप उपयोग कर सकते हैं, जो इस आउटपुट को उत्पन्न करेगा:

कोड इस तरह दिखता है:

val df1=sc.parallelize(Seq((0,"v1"),(0,"v2"),(1,"v3"),(1,"v1"))).toDF("id","values")
val df2=sc.parallelize(Seq((0,"a1","b1","-"),(1,"a2","-","b2"))).toDF("id","v1","v2","v3")
val joinedDF=df1.join(df2,"id")
val resultDF=joinedDF.rdd.map{row=>
val id=row.getAs[Int]("id")
val values=row.getAs[String]("values")
val feilds=row.getAs[String](values)
(id,values,feilds)
}.toDF("id","values","feilds")

कंसोल पर परीक्षण करते समय:

scala> val df1=sc.parallelize(Seq((0,"v1"),(0,"v2"),(1,"v3"),(1,"v1"))).toDF("id","values")
df1: org.apache.spark.sql.DataFrame = [id: int, values: string]

scala> df1.show
+---+------+
| id|values|
+---+------+
|  0|    v1|
|  0|    v2|
|  1|    v3|
|  1|    v1|
+---+------+


scala> val df2=sc.parallelize(Seq((0,"a1","b1","-"),(1,"a2","-","b2"))).toDF("id","v1","v2","v3")
df2: org.apache.spark.sql.DataFrame = [id: int, v1: string ... 2 more fields]

scala> df2.show
+---+---+---+---+
| id| v1| v2| v3|
+---+---+---+---+
|  0| a1| b1|  -|
|  1| a2|  -| b2|
+---+---+---+---+


scala> val joinedDF=df1.join(df2,"id")
joinedDF: org.apache.spark.sql.DataFrame = [id: int, values: string ... 3 more fields]

scala> joinedDF.show
+---+------+---+---+---+                                                        
| id|values| v1| v2| v3|
+---+------+---+---+---+
|  1|    v3| a2|  -| b2|
|  1|    v1| a2|  -| b2|
|  0|    v1| a1| b1|  -|
|  0|    v2| a1| b1|  -|
+---+------+---+---+---+


scala> val resultDF=joinedDF.rdd.map{row=>
     | val id=row.getAs[Int]("id")
     | val values=row.getAs[String]("values")
     | val feilds=row.getAs[String](values)
     | (id,values,feilds)
     | }.toDF("id","values","feilds")
resultDF: org.apache.spark.sql.DataFrame = [id: int, values: string ... 1 more field]

scala> 

scala> resultDF.show
+---+------+------+                                                             
| id|values|feilds|
+---+------+------+
|  1|    v3|    b2|
|  1|    v1|    a2|
|  0|    v1|    a1|
|  0|    v2|    b1|
+---+------+------+

मुझे आशा है कि यह आपकी समस्या हो सकती है। धन्यवाद!