pgcopy 1.6.0

Fast db insert with postgresql binary copy

Use pgcopy for fast data loading into PostgreSQL with binary copy.

Features

• Support for many data types

• Support for multi-dimensional array types

• Support for schema and schema search path

• Support for mixed-case table and column names

• Transparent string encoding

• Utility for replacing entire table

Quickstart

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()

Supported datatypes

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

• vector

Documentation

Read the docs.

See Also

cpgcopy, a Cython implementation, about twice as fast.