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Subject RE: Date and decimal datatype not working
Date Tue, 17 Mar 2015 22:07:56 GMT
Ok, thanks for the suggestions. Let me try and will confirm all.


From: Yin Huai []
Sent: Tuesday, March 17, 2015 3:04 PM
Subject: Re: Date and decimal datatype not working

p(0) is a String. So, you need to explicitly convert it to a Long. e.g. p(0).trim.toLong.
You also need to do it for p(2). For those BigDecimals value, you need to create BigDecimal
objects from your String values.

On Tue, Mar 17, 2015 at 5:55 PM, BASAK, ANANDA <<>>
Hi All,
I am very new in Spark world. Just started some test coding from last week. I am using spark-1.2.1-bin-hadoop2.4
and scala coding.
I am having issues while using Date and decimal data types. Following is my code that I am
simply running on scala prompt. I am trying to define a table and point that to my flat file
containing raw data (pipe delimited format). Once that is done, I will run some SQL queries
and put the output data in to another flat file with pipe delimited format.

val sqlContext = new org.apache.spark.sql.SQLContext(sc)
import sqlContext.createSchemaRDD

// Define row and table
case class ROW_A(
  TSTAMP:           Long,
  USIDAN:             String,
  SECNT:                Int,
  SECT:                   String,
  BLOCK_NUM:        BigDecimal,
  BLOCK_DEN:        BigDecimal,
  BLOCK_PCT:        BigDecimal)

val TABLE_A = sc.textFile("/Myhome/SPARK/files/table_a_file.txt").map(_.split("|")).map(p
=> ROW_A(p(0), p(1), p(2), p(3), p(4), p(5), p(6)))



The second last command is giving error, like following:
<console>:17: error: type mismatch;
found   : String
required: Long

Looks like the content from my flat file are considered as String always and not as Date or
decimal. How can I make Spark to take them as Date or decimal types?


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