When a database query is executed, the Psycopg cursor usually fetches all the records returned by the backend, transferring them to the client process. If the query returned an huge amount of data, a proportionally large amount of memory will be allocated by the client.html
If the dataset is too large to be practically handled on the client side, it is possible to create a server side cursor. Using this kind of cursor it is possible to transfer to the client only a controlled amount of data, so that a large dataset can be examined without keeping it entirely in memory.sql
Server side cursor are created in PostgreSQL using the DECLARE command and subsequently handled using MOVE, FETCH and CLOSE commands. postgresql-cursoride
Psycopg wraps the database server side cursor in named cursors. A named cursor is created using the cursor() method specifying the name parameter.post
1. using DECLARE command create named cursor (note: declare must be in transaction) isnp=# declare xxxx CURSOR WITHOUT HOLD FOR select * from citys; ERROR: DECLARE CURSOR can only be used in transaction blocks isnp=# fetch xxxx; ERROR: cursor "xxxx" does not exist isnp=# begin; BEGIN isnp=# declare xxxx CURSOR WITHOUT HOLD FOR select * from citys; DECLARE CURSOR isnp=# fetch xxxx; created_date | updated_date | id | level | name | parent_id ----------------------------+----------------------------+--------+-------+--------+----------- 2016-09-09 15:10:47.291513 | 2016-09-09 15:10:47.291513 | 410000 | 1 | 河南省 | (1 row) isnp=# fetch xxxx; created_date | updated_date | id | level | name | parent_id ----------------------------+----------------------------+--------+-------+--------+----------- 2016-09-12 15:10:29.192463 | 2016-09-12 15:10:29.192463 | 410100 | 2 | 鄭州市 | 410000 2. using function return cursor isnp=# create function myfunction(refcursor) returns refcursor as $$ isnp$# begin isnp$# open $1 for select * from citys; isnp$# return $1; isnp$# end; isnp$# $$ isnp-# language plpgsql; CREATE FUNCTION isnp=# begin; BEGIN isnp=# select myfunction('mycursor'); myfunction ------------ mycursor (1 row) isnp=# fetch mycursor; created_date | updated_date | id | level | name | parent_id ----------------------------+----------------------------+--------+-------+--------+----------- 2016-09-09 15:10:47.291513 | 2016-09-09 15:10:47.291513 | 410000 | 1 | 河南省 | (1 row) isnp=# fetch mycursor; created_date | updated_date | id | level | name | parent_id ----------------------------+----------------------------+--------+-------+--------+----------- 2016-09-12 15:10:29.192463 | 2016-09-12 15:10:29.192463 | 410100 | 2 | 鄭州市 | 410000 (1 row) isnp=# fetch mycursor; created_date | updated_date | id | level | name | parent_id ----------------------------+----------------------------+--------+-------+------+----------- 2016-09-12 15:10:29.194794 | 2016-09-12 15:10:29.194794 | 410101 | 3 | 直屬 | 410100 (1 row)
1. psycopg2 example import psycopg2 # server side cursor via function method connection = psycopg2.connect("dbname=isnp") cursor = connection.cursor() cursor.callproc("myfunction", ["xxxx"]) cursor1 = connection.cursor("xxxx") print(cursor1.fetchmany(100)) cursor1.close() connection.close() 2. sqlalchemy example from sqlalchemy import engine_from_config config = { "sqlalchemy.url": "postgresql:///isnp", "sqlalchemy.echo": True, "sqlalchemy.server_side_cursors": True, } engine = engine_from_config(config) connection = engine.connect() proxy_results = connection.execution_options(stream_results=True).execute("select * from citys") print(proxy_results.fetchmany(10))