psycopg2

I'm developing in a python environment and I want to call an sql query using psycopg2 Lets say I have the following UNLOAD command in an .sql file: UNLOAD ( ' Some SQL Query ' ) TO 's3://%PATH%' ... In the sql file the %PATH% should be explicit like: 'folder1/folder3/file_name' . But I want the python program to set this %PATH% in runtime. which means that the .sql file containts something like %PATH% and will be set only in runtime. Any idea of how to do it? You simply specify a replacement field in your SQL file, and the use a format command. Create your file like this UNLOAD ('Some SQL

In an existing PostgreSQL table, I would like to UPDATE several existing columns with values from a dictionary lookup (see dict below). Somewhat like described in this nice blog post . However, I can't figure out how to do that with a Python dictionary. Here comes the terrible pseudo-code: d = {10:'chair', 11:'table', 12:'lamp', 20:'english ivy', 21:'peace lily', 22:'spider plant'} curs.execute(""" UPDATE my_table t SET furniture = %(t.furniture)s, SET plant = %(t.plant)s""", d) The original table would look somewhat like this: gid | furniture | plant ----------------------- 0 | 10 | 21 1 | 11

I am running the following query on 489 million rows (102 gb) on a computer with 2 gb of memory: select * from table order by x, y, z, h, j, l; I am using psycopg2 with a server cursor ("cursor_unique_name") and fetch 30000 rows at a time. Obviously the result of the query cannot stay in memory, but my question is whether the following set of queries would be just as fast: select * into temp_table from table order by x, y, z, h, j, l; select * from temp_table This means that I would use a temp_table to store the ordered result and fetch data from that table instead. The reason for asking this

I am not able connect to PostgreSQL remotely using python and psycopg2: Here is my code. >>> import psycopg2 >>> conn_string = "host='localhost' dbname='mydb' user='postgres'" >>> print "Connecting to database\n ->%s" % (conn_string) Connecting to database ->host='localhost' dbname='mydb' user='postgres' >>> conn = psycopg2.connect(conn_string) Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/home/tools/lib/python2.7/site-packages/psycopg2/__init__.py", line 164, in connect conn = _connect(dsn, connection_factory=connection_factory, async=async) psycopg2

I am trying to insert a Python(2.7) list of jsonb elements into a Postgresql(9.4) table with a column of datatype: jsonb[]. Here's some code: import json anArray = [{"name":"Joe","age":51,"yob":1964,"gender":"male"},{"name":"George","age":41,"dob":1974,"gender":"male"},{"name":"Nick","age":31,"dob":1984,"gender":"male"}] myArray = [] #here's what I have so far: for e in anArray: myArray.append(json.dumps(e)) #this gives me myArray = ['{"name":"Joe","age":51,"yob":1964,"gender":"male"}','{"name":"George","age":41,"dob":1974,"gender":"male"}','{"name":"Nick","age":31,"dob":1984,"gender":"male"}'

I'm using psycopg2 for the cherrypy app I'm currently working on and cli & phpgadmin to handle some operations manually. Here's the python code : #One connection per thread cherrypy.thread_data.pgconn = psycopg2.connect("...") ... #Later, an object is created by a thread : class dbobj(object): def __init__(self): self.connection=cherrypy.thread_data.pgconn self.curs=self.connection.cursor(cursor_factory=psycopg2.extras.DictCursor) ... #Then, try: blabla self.curs.execute(...) self.connection.commit() except: self.connection.rollback() lalala ... #Finally, the destructor is called : def __del__