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What is the best way to export Hive table containing many null values to CSV ?

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What is the best way to export Hive table containing many null values to CSV ?

New Contributor

I tried specifying what Hive must use as null values for the export but it keeps writing out the physical values in the CSV file as "NULL" or "\N' where I need to be empty values just separated by ,. E.g. file line is currently written as W,\N,\N,\N where I need format of W,,,

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Re: What is the best way to export Hive table containing many null values to CSV ?

Guru

You cannot do this directly from the export command and must do some separate processing.

I feel the best way to do this is to run this pig script on export result

raw = load 'data.csv' using PigStorage(',');
nonull = foreach raw generate 
	REPLACE($0, '\\\\N', ''),
	REPLACE($1, '\\\\N', ''),
	REPLACE($2, '\\\\N', ''),
	REPLACE($3, '\\\\N', '');
store nonull into 'nonull/data.csv' using PigStorage(',');

Keep in mind this will result in output in the m-r format in hdfs

data.csv
data.csv/_SUCCESS
data.csv/part-m-00000
data.csv/part-m-00001
...

If you want to process this file in hadoop, just point to data.csv

If you want to pull this to edge node with command line use hdfs dfs -getmerge <localpath> nonull/data.csv

If you want to download it using Ambari Files View, just double click on nonull/data.csv the click Select All then Concatenate and it will download as a single file

View solution in original post

1 REPLY 1

Re: What is the best way to export Hive table containing many null values to CSV ?

Guru

You cannot do this directly from the export command and must do some separate processing.

I feel the best way to do this is to run this pig script on export result

raw = load 'data.csv' using PigStorage(',');
nonull = foreach raw generate 
	REPLACE($0, '\\\\N', ''),
	REPLACE($1, '\\\\N', ''),
	REPLACE($2, '\\\\N', ''),
	REPLACE($3, '\\\\N', '');
store nonull into 'nonull/data.csv' using PigStorage(',');

Keep in mind this will result in output in the m-r format in hdfs

data.csv
data.csv/_SUCCESS
data.csv/part-m-00000
data.csv/part-m-00001
...

If you want to process this file in hadoop, just point to data.csv

If you want to pull this to edge node with command line use hdfs dfs -getmerge <localpath> nonull/data.csv

If you want to download it using Ambari Files View, just double click on nonull/data.csv the click Select All then Concatenate and it will download as a single file

View solution in original post