Pretty simple as usual it is a combination of ETL and ELT.

Basically csv files are loaded into staging directory on host, compressed before pushing into hdfs

  1. ETL --> Get rid of the header blank line on the csv files
  2. ETL --> Compress the csv files
  3. ETL --> Put the compressed CVF files  into hdfs staging directory
  4. ELT --> Use databricks to load the csv files
  5. ELT --> Spark FP to prcess the csv data
  6. ELT --> register it as a temporary table
  7. ELT --> Create an ORC table in a named database in compressed zlib2 format in Hive database
  8. ELT --> Insert/select from temporary table to Hive table

So the data is stored in an ORC table and one can do whatever analysis using Spark, Hive etc

On 27 March 2016 at 03:05, Koert Kuipers <> wrote:

To me this is expected behavior that I would not want fixed, but if you look at the recent commits for spark-csv it has one that deals this...

On Mar 26, 2016 21:25, "Mich Talebzadeh" <> wrote:


I have a standard csv file (saved as csv in HDFS) that has first line of blank at the header
as follows

[blank line]
Date, Type, Description, Value, Balance, Account Name, Account Number
[blank line]
22/03/2011,SBT,"'FUNDS TRANSFER , FROM A/C 1790999",200.00,200.00,"'BROWN AE","'638585-60125663",

When I read this file using the following standard

val df ="com.databricks.spark.csv").option("inferSchema", "true").option("header", "true").load("hdfs://rhes564:9000/data/stg/accounts/ac/")

it crashes.

        at java.util.ArrayList$

 If I go and manually delete the first blank line it works OK

val df ="com.databricks.spark.csv").option("inferSchema", "true").option("header", "true").load("hdfs://rhes564:9000/data/stg/accounts/ac/")

df: org.apache.spark.sql.DataFrame = [Date: string,  Type: string,  Description: string,  Value: double,  Balance: double,  Account Name: string,  Account Number: string]

I can easily write a shell script to get rid of blank line. I was wondering if databricks does have a flag to get rid of the first blank line in csv file format?

P.S. If the file is stored as DOS text file, this problem goes away.