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Merge two tables in Scala/Spark

I have two tab separated data files like below:

file 1:

number  type    data_present
 1       a        yes
 2       b        no

file 2:

type    group   number  recorded
 d       aa      10       true
 c       cc      20       false

I want to merge these two files so that output file looks like below:

number  type    data_present    group   recorded
  1      a         yes           NULL    NULL
  2      b         no            NULL    NULL
  10     d         NULL           aa     true
  20     cc        NULL           cc     false

As you can see, for columns which are not present in other file, I'm filling those places with NULL.

Any ideas on how to do this in Scala/Spark?

Create two files for your data set:

$ cat file1.csv 
number  type    data_present
 1       a        yes
 2       b        no

$ cat file2.csv
type    group   number  recorded
 d       aa      10       true
 c       cc      20       false

Convert them to CSV:

$ sed -e 's/^[ \t]*//' file1.csv | tr -s ' ' | tr ' ' ',' > f1.csv
$ sed -e 's/^[ ]*//' file2.csv | tr -s ' ' | tr ' ' ',' > f2.csv

Use spark-csv module to load CSV files as dataframes:

$ spark-shell --packages com.databricks:spark-csv_2.10:1.1.0

import org.apache.spark.sql.SQLContext
val sqlContext = new SQLContext(sc)
val df1 = sqlContext.load("com.databricks.spark.csv", Map("path" -> "f1.csv", "header" -> "true"))
val df2 = sqlContext.load("com.databricks.spark.csv", Map("path" -> "f2.csv", "header" -> "true"))

Now perform joins:

scala> df1.join(df2, df1("number") <=> df2("number") && df1("type") <=> df2("type"), "outer").show()

+------+----+------------+----+-----+------+--------+
|number|type|data_present|type|group|number|recorded|
+------+----+------------+----+-----+------+--------+
|     1|   a|         yes|null| null|  null|    null|
|     2|   b|          no|null| null|  null|    null|
|  null|null|        null|   d|   aa|    10|    true|
|  null|null|        null|   c|   cc|    20|   false|
+------+----+------------+----+-----+------+--------+

For more details goto here , here and here .

这将为您提供所需的输出:

val output = file1.join(file2, Seq("number","type"), "outer")

简单地将所有列转换为String,而不是在两个DF上进行并集。

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