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json-to-postgres.py
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json-to-postgres.py
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#!/usr/bin/env python
# Copyright (C) 2016 Jason Owen <jason.a.owen@gmail.com>
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
"""
A small script to load line-delimited JSON data into a column in a table in a
PostgreSQL database.
"""
import argparse
import fileinput
import json
import psycopg2
from psycopg2.extras import Json
def parse_args():
parser = argparse.ArgumentParser(
description='''
Load one or more lines of JSON into a PostgreSQL database. The
target database table must have one json or jsonb column (specified
via the `column` argument), and any other columns in the table must
have default values.
''',
epilog='''
See also the PostgreSQL table creation syntax
(https://www.postgresql.org/docs/current/sql-createtable.html) and
the PostgreSQL xml data type
(https://www.postgresql.org/docs/current/datatype-json.html).
''',
)
parser.add_argument('user', help='user to connect to the database as')
parser.add_argument('dbname', help='database to connect to')
parser.add_argument('table', help='table to insert into')
parser.add_argument('column', help='''column to insert into; the data type
of the column must be json or jsonb''')
parser.add_argument('filename', nargs='*', default='-', help='''Filenames of
line-delimited JSON data files to load''')
return parser.parse_args()
def load_line_delimited_json_data(user, dbname, table, column, filenames):
conn = psycopg2.connect("dbname={} user={}".format(dbname, user))
cur = conn.cursor()
insert_statement = "INSERT INTO {} ({}) VALUES (%s)".format(table, column)
for line in fileinput.input(filenames):
try:
parsed_line = json.loads(line)
cur.execute(insert_statement, [Json(parsed_line)])
except ValueError as e:
e.args += (fileinput.filename(),)
raise
conn.commit()
cur.close()
conn.close()
if __name__ == "__main__":
args = parse_args()
print("Database: {}, user: {}, table: {}, column: {}".format(
args.dbname,
args.user,
args.table,
args.column,
))
load_line_delimited_json_data(
args.user,
args.dbname,
args.table,
args.column,
args.filename
)