CODEWITHSUNDEEP
apache-spark
Surender Raja
Surender Raja

Reputation: 3609

How to include double quotes in spark sql concat?

I am trying to concat two columns with double quotes gets prefix and suffix at both these two columns . The code works ,but it gives me extra double quotes .

Input :

campaign_file_name_1, campaign_name_1, shagdhsjagdhjsagdhrSqpaKa5saoaus89,    1
campaign_file_name_1, campaign_name_1, sagdhsagdhasjkjkasihdklas872hjsdjk,    2

Expected Output :

 campaign_file_name_1, shagdhsjagdhjsagdhrSqpaKa5saoaus89,   "campaign_name_1"="1",  2017-06-06 17:09:31
 campaign_file_name_1, sagdhsagdhasjkjkasihdklas872hjsdjk,   "campaign_name_1"="2",  2017-06-06 17:09:31

Actual Output as Per code :

 campaign_file_name_1, shagdhsjagdhjsagdhrSqpaKa5saoaus89,   """campaign_name_1""=""1""",  2017-06-06 17:09:31
 campaign_file_name_1, sagdhsagdhasjkjkasihdklas872hjsdjk,   """campaign_name_1""=""2""",  2017-06-06 17:09:31

Spark Code : 

 object campaignResultsMergerETL extends BaseETL {


      val now  = ApplicationUtil.getCurrentTimeStamp()
      val conf = new Configuration()
      val fs  = FileSystem.get(conf)
      val log = LoggerFactory.getLogger(this.getClass.getName)

           def main(args: Array[String]): Unit = {
               //---------------------
                  code for sqlContext Initialization 

              //---------------------
            val campaignResultsDF  = sqlContext.read.format("com.databricks.spark.avro").load(campaignResultsLoc)
           campaignResultsDF.registerTempTable("campaign_results")
           val campaignGroupedDF =  sqlContext.sql(
  """
    |SELECT campaign_file_name,
    |campaign_name,
    |tracker_id,
    |SUM(campaign_measure) AS campaign_measure
    |FROM campaign_results
    |GROUP BY campaign_file_name,campaign_name,tracker_id
  """.stripMargin)

campaignGroupedDF.registerTempTable("campaign_results_full")

            val campaignMergedDF =  sqlContext.sql(
      s"""
        |SELECT campaign_file_name,
        |tracker_id,
        |CONCAT('\"',campaign_name, '\"','=','\"',campaign_measure,'\"'),
        |"$now" AS audit_timestamp
        |FROM campaign_results_full
""".stripMargin)

    saveAsCSVFiles(campaignMergedDF,campaignResultsExportLoc,numPartitions)

 }


     def saveAsCSVFiles(campaignMeasureDF:DataFrame,hdfs_output_loc:String,numPartitions:Int): Unit =
         {
              log.info("saveAsCSVFile method started")
              if (fs.exists(new Path(hdfs_output_loc))){
              fs.delete(new Path(hdfs_output_loc), true)
         }
         campaignMeasureDF.repartition(numPartitions).write.format("com.databricks.spark.csv").save(hdfs_output_loc)
        log.info("saveAsCSVFile method ended")
       }

    }

Could someone help me to fix this issue?

Upvotes: 1

Views: 11774

Answers (1)

Leo C
Leo C

Reputation: 22449

It looks like you enclosed = incorrectly in your CONCAT arguments. Try:

|CONCAT('\"',campaign_name, '\"','=','\"',campaign_measure,'\"'),

[UPDATE]

Maybe your Spark version is different from mine, it seems to work as expected for me: 

val df = Seq(("x", "y")).toDF("a", "b")

df.createOrReplaceTempView("df")

val df2 = spark.sqlContext.sql("""SELECT a, b, CONCAT('"', a, '"="', b, '"') as a_eq_b FROM df""")

df2.show
+---+---+-------+
|  a|  b| a_eq_b|
+---+---+-------+
|  x|  y|"x"="y"|
+---+---+-------+

df2.coalesce(1).write.option("header", "true").csv("/path/to/df2.csv")

/path/to/df2.csv content:
a,b,a_eq_b
x,y,"\"x\"=\"y\""

Now, you could optionally make quote null like in the following:

df2.coalesce(1).write.option("header", "true").option("quote", "\u0000").csv("/path/to/df2null.csv")

/path/to/df2null.csv content:
a,b,a_eq_b
x,y,"x"="y"

Note that, though, if you need to read the CSV back on Spark, make sure you include the same quote option.

Upvotes: 2

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