![]() This code will add 10 entries to the table. I put this script in a Django project folder which has "Pages" application with "Page" model. delete () for i in range ( 0, 10 ): p = Page ( title = 'test title' + str ( i ), slug = 'test-slug' + str ( i ), description = 'a sample description of an article bla foo bar', text = data ) p. The CD and DVD images should be available from Slackware's FTP/HTTP mirrors in a few days in the meantime get the new Slack via BitTorrent: (3,714MB).''' from pages.models import * Page. ![]() Here are some of the advanced features of Slackware 12.0: runs the 2.6.21.5 version of the Linux kernel system binaries are linked with the GNU C Library, version 2.5 X11 7.2.0 Apache 2.2.4 web server with Dynamic Shared Object support, SSL, and PHP 5.2.3 the udev dynamic device management system updated versions of the Slackware package management tools." Read the rest of the release announcement for full details. So, without further ado, announcing Slackware version 12.0! Since we've moved to supporting the 2.6 kernel series exclusively (and fine-tuned the system to get the most out of it), we feel that Slackware 12.0 has many improvements over our last release and is a must-have upgrade for any Slackware user. a VACUUM), the rollback journal file may consume a very large amount of space. ![]() This will give the highest throughput when inserting rows.Īlso see Optimizing Bulk Import Performance - much of the advice in that article also applies to "normal" inserts.# -*- coding: utf-8 -*- from os import environ environ = 'settings' from settings import * data = '''Slackware Linux 12.0 has been released: "Well folks, it's that time to announce a new stable Slackware release again. This increases performance for subsequent transactions since overwriting an existing file is faster than append to a file, but it also consumes file-system space. If this still isn't fast enough then you should consider grouping up inserts an using BULK INSERT instead (or something like the bcp utility or SqlBulkCopy, both of which use BULK INSERT under the covers). You should do this to make sure you haven't removed an index which SQL Server was using to speed up the INSERT. Note that SQL Server can suggest indexes for a given query either by executing the query in SQL Server Management Studio or via the Database Engine Tuning Advisor.
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