Abuse filter log

Details for log entry 136,860

08:38, 25 March 2020: TashaS89667176 (talk | contribs) triggered filter 0, performing the action "edit" on User:TashaS89667176. Actions taken: Warn; Filter description: (examine)

Changes made in edit

Action parameters

Variable	Value
Name of the user account `(user_name)`	'TashaS89667176'
Age of the user account `(user_age)`	4385
Groups (including implicit) the user is in `(user_groups)`	[ 0 => '*', 1 => 'user', 2 => 'autoconfirmed' ]
Page ID `(page_id)`	0
Page namespace `(page_namespace)`	2
Page title (without namespace) `(page_title)`	'TashaS89667176'
Full page title `(page_prefixedtitle)`	'User:TashaS89667176'
Action `(action)`	'edit'
Edit summary/reason `(summary)`	''
Old content model `(old_content_model)`	''
New content model `(new_content_model)`	'wikitext'
Old page wikitext, before the edit `(old_wikitext)`	''
New page wikitext, after the edit `(new_wikitext)`	'The best rampant information integration approach is actually extract, change and load (ETL), which is commonly used in records warehousing. In ETL jobs, data is actually drawn out [https://francismercado1.webgarden.cz/rubriky/francismercado1-s-blog/just-what-could-data-integration read more from here] source bodies as well as go through a record makeover method to combine and also filter it for analytics makes use of; the leading records sets are actually then filled in to an information storehouse.'
Old page size `(old_size)`	0
All external links added in the edit `(added_links)`	[ 0 => 'https://francismercado1.webgarden.cz/rubriky/francismercado1-s-blog/just-what-could-data-integration' ]
All external links in the new text `(all_links)`	[ 0 => 'https://francismercado1.webgarden.cz/rubriky/francismercado1-s-blog/just-what-could-data-integration' ]
Links in the page, before the edit `(old_links)`	[]
Unix timestamp of change `(timestamp)`	1585118289


			The best rampant information integration approach is actually extract, change and load (ETL), which is commonly used in records warehousing. In ETL jobs, data is actually drawn out [https://francismercado1.webgarden.cz/rubriky/francismercado1-s-blog/just-what-could-data-integration read more from here] source bodies as well as go through a record makeover method to combine and also filter it for analytics makes use of; the leading records sets are actually then filled in to an information storehouse.