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| 1 | +package com.sparkbyexamples.spark.dataframe.functions.string |
| 2 | + |
| 3 | +import org.apache.spark.sql.SparkSession |
| 4 | +import org.apache.spark.sql.functions.{lit, _} |
| 5 | +object ConcatExample extends App { |
| 6 | + |
| 7 | + val spark = SparkSession.builder() |
| 8 | + .appName("SparkByExamples.com") |
| 9 | + .master("local") |
| 10 | + .getOrCreate() |
| 11 | + |
| 12 | + val data = Seq(("James","A","Smith","2018","M",3000), |
| 13 | + ("Michael","Rose","Jones","2010","M",4000), |
| 14 | + ("Robert","K","Williams","2010","M",4000), |
| 15 | + ("Maria","Anne","Jones","2005","F",4000), |
| 16 | + ("Jen","Mary","Brown","2010","",-1) |
| 17 | + ) |
| 18 | + |
| 19 | + val columns = Seq("fname","mname","lname","dob_year","gender","salary") |
| 20 | + import spark.sqlContext.implicits._ |
| 21 | + val df = data.toDF(columns:_*) |
| 22 | + df.printSchema() |
| 23 | + df.show(false) |
| 24 | + |
| 25 | + df.select(concat(col("fname"),lit(','), |
| 26 | + col("mname"),lit(','),col("lname")).as("FullName")) |
| 27 | + .show(false) |
| 28 | + |
| 29 | + df.withColumn("FullName",concat(col("fname"),lit(','), |
| 30 | + col("mname"),lit(','),col("lname"))) |
| 31 | + .drop("fname") |
| 32 | + .drop("mname") |
| 33 | + .drop("lname") |
| 34 | + .show(false) |
| 35 | + |
| 36 | + df.withColumn("FullName",concat_ws(",",col("fname"),col("mname"),col("lname"))) |
| 37 | + .drop("fname") |
| 38 | + .drop("mname") |
| 39 | + .drop("lname") |
| 40 | + .show(false) |
| 41 | + |
| 42 | + df.createOrReplaceTempView("EMP") |
| 43 | + |
| 44 | + spark.sql("select CONCAT(fname,' ',lname,' ',mname) as FullName from EMP") |
| 45 | + .show(false) |
| 46 | + |
| 47 | + spark.sql("select fname ||' '|| lname ||' '|| mname as FullName from EMP") |
| 48 | + .show(false) |
| 49 | +} |
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