Ok, thanks for the suggestions. Let me try and will confirm all. Regards Ananda
From: Yin Huai [mailto:yh...@databricks.com] Sent: Tuesday, March 17, 2015 3:04 PM To: BASAK, ANANDA Cc: user@spark.apache.org 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 <ab9...@att.com<mailto:ab9...@att.com>> wrote: 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))) TABLE_A.registerTempTable("TABLE_A") *************************************************** 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? Regards Ananda
