sql2csv 1.3

Why sql2csv

sql2csv is a small utility to run MySQL and PostgreSQL queries and store the output in a CSV file.

In some environments like when using MySQL or Aurora in AWS RDS, exporting queries’ results to CSV is not available with native tools. sql2csv is a simple module that offers this feature.

Installation

pip3 install sql2csv

# Basic usage
mysql [...] -e "SELECT * FROM table" | sql2csv
# or
psql [...] -c "SELECT * FROM table" | sql2csv

Example

mysql -U root -p"secret" my_db -e "SELECT * FROM some_mysql_table;" | sql2csv

id,some_int,some_str,some_date
1,12,hello world,2018-12-01 12:23:12
2,15,hello,2018-12-05 12:18:12
3,18,world,2018-12-08 12:17:12

psql -U postgres my_db -c "SELECT * FROM some_pg_table" | sql2csv

id,some_int,some_str,some_date
1,12,hello world,2018-12-01 12:23:12
2,15,hello,2018-12-05 12:18:12
3,18,world,2018-12-08 12:17:12

$ sql2csv --engine mysql \
  --database my_db --user root --password "secret" \
  --query "SELECT * FROM some_mysql_table"

1,12,hello world,2018-12-01 12:23:12
2,15,hello,2018-12-05 12:18:12
3,18,world,2018-12-08 12:17:12

$ sql2csv --engine mysql \
  --database my_db --user root --password "secret" \
  --query "SELECT * FROM some_mysql_table" \
  --headers \
  --out file --destination_file export.csv

# * Exporting rows...
#   ...done
# * The result has been exported to export.csv.

$ cat export.csv
id,some_int,some_str,some_date
1,12,hello world,2018-12-01 12:23:12
2,15,hello,2018-12-05 12:18:12
3,18,world,2018-12-08 12:17:12

Usage

usage: sql2csv [-h] [-e {mysql,postgresql}] [-H HOST] [-P PORT] -u USER
               [-p PASSWORD] -d DATABASE -q QUERY [-o {stdout,file}]
               [-f DESTINATION_FILE] [-D DELIMITER] [-Q QUOTECHAR] [-t]

optional arguments:
  -h, --help            show this help message and exit
  -e {mysql,postgresql}, --engine {mysql,postgresql}
                        Database engine
  -H HOST, --host HOST  Database host
  -P PORT, --port PORT  Database port
  -u USER, --user USER  Database user
  -p PASSWORD, --password PASSWORD
                        Database password
  -d DATABASE, --database DATABASE
                        Database name
  -q QUERY, --query QUERY
                        SQL query
  -o {stdout,file}, --out {stdout,file}
                        CSV destination
  -f DESTINATION_FILE, --destination_file DESTINATION_FILE
                        CSV destination file
  -D DELIMITER, --delimiter DELIMITER
                        CSV delimiter
  -Q QUOTECHAR, --quotechar QUOTECHAR
                        CSV quote character
  -t, --headers         Include headers