Use pgcopy for fast data loading into PostgreSQL with binary copy.
- Support for many data types
- Support for multi-dimensional array types
- Support for schema and schema search path
- Transparent string encoding
- Utility for replacing entire table
from datetime import datetime
from pgcopy import CopyManager
import psycopg2
cols = ('id', 'timestamp', 'location', 'temperature')
now = datetime.now()
records = [
(0, now, 'Jerusalem', 72.2),
(1, now, 'New York', 75.6),
(2, now, 'Moscow', 54.3),
]
conn = psycopg2.connect(database='weather_db')
mgr = CopyManager(conn, 'measurements_table', cols)
mgr.copy(records)
# don't forget to commit!
conn.commit()
pgcopy supports the following PostgreSQL scalar types:
- bool
- smallint
- integer
- bigint
- real
- double precision
- char
- varchar
- text
- bytea
- enum types
- date
- time
- timestamp
- timestamp with time zone
- numeric
- json
- jsonb
- uuid
- arrays
cpgcopy, a Cython implementation, about twice as fast.