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MuK Large Objects MuK Large Objects

MuK Large Objects

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PGSQL Large Objects Support - Versions [11,12]

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MuK PGSQL Large Objects

PGSQL Large Objects Support

MuK IT GmbH - www.mukit.at

Overview

Provides a field to store bytes as PostgreSQL large objects. PostgreSQL offers support for large objects, which provide stream-style access to user data that is stored in a special large-object structure. They are useful with data values too large to be manipulated conveniently as a whole.

Psycopg2 for Python

Psycopg allows access to the large object using the lobject class. Objects are generated using the connection.lobject() factory method. Data can be retrieved either as bytes or as Unicode strings.

Psycopg large object support efficient import/export with file system files using the lo_import() and lo_export() libpq functions.

Changed in version 2.6: added support for large objects greated than 2GB. Note that the support is enabled only if all the following conditions are verified:

  • the Python build is 64 bits;
  • the extension was built against at least libpq 9.3;
  • the server version is at least PostgreSQL 9.3 (server_version must be >= 90300).

If Psycopg was built with 64 bits large objects support (i.e. the first two contidions above are verified), the psycopg2.__version__ constant will contain the lo64 flag. If any of the contition is not met several lobject methods will fail if the arguments exceed 2GB.

		    	
from MuK IT.addons.muk_fields_lobject.fields.lobject import LargeObject

class LargeObjectModel(models.Model):

    data_content = LargeObject(string="Data")

    @api.multi
    def data(self):
        for record in self:
            bytes = record.data_content
            oid = record.with_context({'oid': True}).data_content
            size = record.with_context({'bin_size': True}).data_content
            stream = record.with_context({'stream': True}).data_content
		    	
			

Demo

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