Shantanu's Blog

Database Consultant

May 28, 2021

 

Athena and Unicode text

Athena supports unicode characters very well. For e.g. if the datafile looks like this...

"Root_word";"Word";"Primary";"Type";"Code";"Position";"Rule"
"अँटिबायोटिक","अँटिबायोटिक","अँटिबायोटिक","Primary","","",""
"अँटिबायोटिक","अँटिबायोटिकअंती","अँटिबायोटिक","Suffix","A","7293","001: 0 अंती ."
"अँटिबायोटिक","अँटिबायोटिकअर्थी","अँटिबायोटिक","Suffix","A","7293","002: 0 अर्थी ."
"अँटिबायोटिक","अँटिबायोटिकआतून","अँटिबायोटिक","Suffix","A","7293","003: 0 आतून ."
"अँटिबायोटिक","अँटिबायोटिकआतूनचा","अँटिबायोटिक","Suffix","A","7293","004: 0 आतूनचा ."
"अँटिबायोटिक","अँटिबायोटिकआतूनची","अँटिबायोटिक","Suffix","A","7293","005: 0 आतूनची ."
"अँटिबायोटिक","अँटिबायोटिकआतूनचे","अँटिबायोटिक","Suffix","A","7293","006: 0 आतूनचे ."
"अँटिबायोटिक","अँटिबायोटिकआतूनच्या","अँटिबायोटिक","Suffix","A","7293","007: 0 आतूनच्या ."
"अँटिबायोटिक","अँटिबायोटिकआतूनला","अँटिबायोटिक","Suffix","A","7293","008: 0 आतूनला ."

This create table statement is all I need...

create external table myptg (
root_word varchar(255),
derived_word varchar(255),
stemmed_word varchar(255),
type varchar(255),
code varchar(255),
position varchar(255),
rule varchar(255)
)
ROW FORMAT SERDE 'org.apache.hadoop.hive.serde2.OpenCSVSerde'
WITH SERDEPROPERTIES (
  'separatorChar' = '\;',
  'quoteChar' = '\"',
  'escapeChar' = '\\'
)
LOCATION 's3://ptg1/mc/'
TBLPROPERTIES ("skip.header.line.count"="1");

I can create a supporting table like this...

create external table gamabhana (derived_word varchar(255))
LOCATION 's3://ptg1/mc2/'
TBLPROPERTIES ("skip.header.line.count"="1");

A new table can be created using the syntax something like this...
 
create external table anoop (
serial_number int,
root_word varchar(255),
stem1_word varchar(255),
stem2_word varchar(255),
stem3_word varchar(255),
stem4_word varchar(255),
stem5_word varchar(255),
stem6_word varchar(255),
stem7_word varchar(255)
)
ROW FORMAT SERDE 'org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe'
WITH SERDEPROPERTIES (
  'field.delim' = ',',
  'escape.delim' = '\\',
  'line.delim' = '\n'
)
LOCATION 's3://ptg1/mc3/'
TBLPROPERTIES ("skip.header.line.count"="1");


And then run a join statement like this...

create table gamabhana_match as
select a.derived_word, b.root_word, b.stemmed_word, b.type, b.code, b.position, b.rule, c.stem1_word, c.stem2_word, c.stem3_word, c.stem4_word, c.stem5_word, c.stem6_word, c.stem7_word
from gamabhana as a left join myptg as b
on b.derived_word = a.derived_word
left join anoop as c
on c.derived_word = a.derived_word

It will scan around 2 GB data (in this case) and the cost will be around 1 cent per query. This can also be done in MySQL. But importing data and building indexes is not easy. Unlike Athena, MySQL allows unlimited queries for free!

Athena is good for data that is important and accessed rarely.

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