How to skip headers when we are reading data from a csv file in s3 and creating a table in aws athena.

I am trying to read csv data from s3 bucket and creating a table in AWS Athena. My table when created was unable to skip the header information of my CSV file.

Query Example :

CREATE EXTERNAL TABLE IF NOT EXISTS table_name (   `event_type_id`
     string,   `customer_id` string,   `date` string,   `email` string )
     ROW FORMAT SERDE  'org.apache.hadoop.hive.serde2.OpenCSVSerde' 
     WITH
     SERDEPROPERTIES (   "separatorChar" = "|",   "quoteChar"     = "\"" )
     LOCATION 's3://location/' 
     TBLPROPERTIES ("skip.header.line.count"="1");

skip.header.line.count doesn't seem to work. But this does not work out. I think Aws has some issue with this.Is there any other way that I could get through this?

This is what works in Redshift:

You want to use table properties ('skip.header.line.count'='1') Along with other properties if you want, e.g. 'numRows'='100'. Here's a sample:

create external table exreddb1.test_table
(ID BIGINT 
,NAME VARCHAR
)
row format delimited
fields terminated by ','
stored as textfile
location 's3://mybucket/myfolder/'
table properties ('numRows'='100', 'skip.header.line.count'='1');

This is a known deficiency.

The best method I've seen was tweeted by Eric Hammond: