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As developers, we often make things happen but can’t explain exactly how.. Computing ultimately comes down to 1s and 0s, but we seldom think of our work that way. It is the powerful abstractions provided by software that drive technological progress. But what happens when these abstractions become too magic? This talk will explore the pitfalls of “abstraction magic”, and promote the successes that full stack understanding can bring to your projects, and even career.
Citation preview
who doesn’t want to believe in magic?
kate matsudaira | @katemats
Wednesday, May 29, 13
happiness
Wednesday, May 29, 13
happiness
Life would be so much better if there
were piñatas strategically placed throughout the day.
Wednesday, May 29, 13
flow happiness
Wednesday, May 29, 13
chal
leng
es
skills
anxiety
boredom
flow
diagram from the book: Flow: The Psychology of Optimal Experience (1990)
Wednesday, May 29, 13
happiness is a way of travel, not a destination
http://occasionallego.files.wordpress.com/2013/02/feb_02_2013.jpg
Wednesday, May 29, 13
flow happinessmastery
Wednesday, May 29, 13
Image source: http://satellite.tpub.com/TM-11-5895-846-14/TM-11-5895-846-140401im.jpg
Wednesday, May 29, 13
Image source: http://pixelperfectdigital.com/photo/5/computer-circuits.html
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Image source: wallpaperstock.net -
Wednesday, May 29, 13
Image source: www.balsas.lt - -
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Wednesday, May 29, 13
Image source: http://jochenebmeier.blogspot.com/2011/07/arkanum-die-remystifizerung-des-wissens.html
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SPDY
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Source: http://www.sencha.com/blog/the-making-of-fastbook-an-html5-love-story
Wednesday, May 29, 13
mysql> SELECT `campaign_active_rankings`.* FROM `campaign_active_rankings` WHERE (campaign_id = 3 and engine_id = 96) AND (latest_rank = min_rank AND latest_rank < max_rank) ORDER BY beta DESC LIMIT 3;
Wednesday, May 29, 13
Here's the underlying view SQL:
campaign_active_rankingsselect `campaign_tracked_rankings`.`campaign_id` AS `campaign_id`,`campaign_tracked_rankings`.`engine_id` AS `engine_id`,`campaign_tracked_rankings`.`keyword_id` AS `keyword_id`,`campaign_tracked_rankings`.`keyword_labels` AS `keyword_labels`,max(`campaign_tracked_rankings`.`rank`) AS `latest_rank`,max(`chained_domain_ranks_by_week`.`rank`) AS `max_rank`,min(`chained_domain_ranks_by_week`.`rank`) AS `min_rank`,(max(`chained_domain_ranks_by_week`.`rank`) -‐ min(`chained_domain_ranks_by_week`.`rank`)) AS `spread`,pow(exp(sum(log(coalesce((case when (`chained_domain_ranks_by_week`.`delta` <> 0) then abs(`chained_domain_ranks_by_week`.`delta`) end),0.5)))),(1 / count(0))) AS `beta`,avg(abs(`chained_domain_ranks_by_week`.`delta`)) AS `avg_delta_mag` from ((`campaigns` join `campaign_tracked_rankings` on(((`campaigns`.`id` = `campaign_tracked_rankings`.`campaign_id`) and (`campaigns`.`domain_host` = `campaign_tracked_rankings`.`domain_host`)))) join `chained_domain_ranks_by_week` on(((`campaign_tracked_rankings`.`keyword_id` = `chained_domain_ranks_by_week`.`keyword_id`) and (`campaign_tracked_rankings`.`engine_id` = `chained_domain_ranks_by_week`.`engine_id`) and (`campaign_tracked_rankings`.`domain_host` = `chained_domain_ranks_by_week`.`domain_host`) and (`chained_domain_ranks_by_week`.`week` in (`campaign_tracked_rankings`.`week`,(`campaign_tracked_rankings`.`week` -‐ interval 1 week),(`campaign_tracked_rankings`.`week` -‐ interval 2 week),(`campaign_tracked_rankings`.`week` -‐ interval 3 week)))))) group by `campaign_tracked_rankings`.`campaign_id`,`campaign_tracked_rankings`.`engine_id`,`campaign_tracked_rankings`.`keyword_id`
Wednesday, May 29, 13
chained_searches_by_weekselect `engine_keyword_week_latest_search`.`week` AS `week`,`engine_keyword_week_latest_search`.`search_id` AS `search_id`,`engine_keyword_week_latest_search`.`engine_id` AS `engine_id`,`engine_keyword_week_latest_search`.`keyword_id` AS `keyword_id`,`engine_keyword_week_latest_search`.`search_date` AS `search_date`,`engine_keyword_week_latest_search`.`search_state` AS `search_state`,`prior_week`.`search_id` AS `prior_search_id`,`prior_week`.`search_date` AS `prior_search_date`,`prior_week`.`search_state` AS `prior_search_state` from (`engine_keyword_week_latest_search` left join `engine_keyword_week_latest_search` `prior_week` on(((`engine_keyword_week_latest_search`.`engine_id` = `prior_week`.`engine_id`) and (`engine_keyword_week_latest_search`.`keyword_id` = `prior_week`.`keyword_id`) and (`engine_keyword_week_latest_search`.`week` = (`prior_week`.`week` + interval 1 week)))))
engine_keyword_week_latest_searchselect `searches`.`engine_id` AS `engine_id`,`searches`.`keyword_id` AS `keyword_id`,`searches`.`week` AS `week`,`searches`.`state` AS `search_state`,`searches`.`date` AS `search_date`,`searches`.`id` AS `search_id` from (`searches` left join `searches` `better_search` on(((`searches`.`engine_id` = `better_search`.`engine_id`) and (`searches`.`keyword_id` = `better_search`.`keyword_id`) and (`searches`.`week` = `better_search`.`week`) and (`better_search`.`state` = 2) and (`searches`.`date` < `better_search`.`date`)))) where ((`searches`.`state` = 2) and isnull(`better_search`.`id`))
search_domain_rankselect `pages_urls`.`search_id` AS `search_id`,`pages_urls`.`host` AS `domain_host`,`pages_urls`.`rank` AS `rank`,`pages_urls`.`url_id` AS `url_id` from (`pages_urls` left join `pages_urls` `better_pages_urls` on(((`better_pages_urls`.`host` = `pages_urls`.`host`) and (`better_pages_urls`.`search_id` = `pages_urls`.`search_id`) and (`better_pages_urls`.`rank` < `pages_urls`.`rank`)))) where isnull(`better_pages_urls`.`id`)
campaign_trackingsselect `campaign_engines`.`campaign_id` AS `campaign_id`,`campaign_engines`.`engine_id` AS `engine_id`,`campaign_keywords`.`keyword_id` AS `keyword_id`,`campaign_keywords`.`labels` AS `keyword_labels`,`campaign_domains`.`domain_host` AS `domain_host` from ((`campaign_engines` join `campaign_domains` on((`campaign_engines`.`campaign_id` = `campaign_domains`.`campaign_id`))) join `campaign_keywords` on((`campaign_engines`.`campaign_id` = `campaign_keywords`.`campaign_id`)))
campaign_tracked_rankingsselect `campaign_trackings`.`campaign_id` AS `campaign_id`,`campaign_trackings`.`engine_id` AS `engine_id`,`campaign_trackings`.`keyword_id` AS `keyword_id`,`campaign_trackings`.`keyword_labels` AS `keyword_labels`,`campaign_trackings`.`domain_host` AS `domain_host`,`engine_keyword_latest_search`.`search_id` AS `search_id`,`engine_keyword_latest_search`.`search_date` AS `search_date`,`engine_keyword_latest_search`.`search_state` AS `search_state`,`engine_keyword_latest_search`.`week` AS `week`,`domain_ranking_summaries`.`rank` AS `rank`,`domain_ranking_summaries`.`prior_rank` AS `prior_rank`,`domain_ranking_summaries`.`delta` AS `delta` from ((`campaign_trackings` left join `engine_keyword_latest_search` on(((`campaign_trackings`.`engine_id` = `engine_keyword_latest_search`.`engine_id`) and (`campaign_trackings`.`keyword_id` = `engine_keyword_latest_search`.`keyword_id`)))) left join `domain_ranking_summaries` on(((`engine_keyword_latest_search`.`search_id` = `domain_ranking_summaries`.`search_id`) and (`campaign_trackings`.`domain_host` = `domain_ranking_summaries`.`domain_host`))))
chained_domain_ranks_by_weekselect `chained_searches_by_week`.`search_id` AS `search_id`,`chained_searches_by_week`.`engine_id` AS `engine_id`,`chained_searches_by_week`.`keyword_id` AS `keyword_id`,`chained_searches_by_week`.`week` AS `week`,`chained_searches_by_week`.`search_date` AS `search_date`,`search_domain_rank`.`domain_host` AS `domain_host`,`search_domain_rank`.`rank` AS `rank`,`prior_search_domain_rank`.`rank` AS `prior_rank`,(`prior_search_domain_rank`.`rank` -‐ `search_domain_rank`.`rank`) AS `delta` from ((`chained_searches_by_week` join `search_domain_rank` on((`chained_searches_by_week`.`search_id` = `search_domain_rank`.`search_id`))) left join `search_domain_rank` `prior_search_domain_rank` on(((`chained_searches_by_week`.`prior_search_id` = `prior_search_domain_rank`.`search_id`) and (`search_domain_rank`.`domain_host` = `prior_search_domain_rank`.`domain_host`))))
domain_ranking_summariesselect `engine_keyword_latest_search`.`engine_id` AS `engine_id`,`engine_keyword_latest_search`.`keyword_id` AS `keyword_id`,`engine_keyword_latest_search`.`search_id` AS `search_id`,`urls`.`host` AS `domain_host`,max(`engine_keyword_latest_search`.`search_date`) AS `search_date`,max(`engine_keyword_latest_search`.`search_state`) AS `search_state`,min(`chained_url_ranks_by_week`.`rank`) AS `rank`,min(`chained_url_ranks_by_week`.`prior_rank`) AS `prior_rank`,(min(`chained_url_ranks_by_week`.`prior_rank`) -‐ min(`chained_url_ranks_by_week`.`rank`)) AS `delta` from ((`engine_keyword_latest_search` join `chained_url_ranks_by_week` on((`engine_keyword_latest_search`.`search_id` = `chained_url_ranks_by_week`.`search_id`))) join `urls` on((`chained_url_ranks_by_week`.`url_id` = `urls`.`id`))) group by `engine_keyword_latest_search`.`engine_id`,`engine_keyword_latest_search`.`keyword_id`,`urls`.`host`
chained_url_ranks_by_weekselect `chained_searches_by_week`.`search_id` AS `search_id`,`chained_searches_by_week`.`engine_id` AS `engine_id`,`chained_searches_by_week`.`keyword_id` AS `keyword_id`,`chained_searches_by_week`.`week` AS `week`,`pages_urls`.`url_id` AS `url_id`,`pages_urls`.`rank` AS `rank`,`pages_urls`.`page_number` AS `page_number`,`pages_urls`.`position` AS `position`,`prior_pages_urls`.`rank` AS `prior_rank`,(case when (`prior_pages_urls`.`rank` is not null) then -‐((`pages_urls`.`rank` -‐ `prior_pages_urls`.`rank`)) else NULL end) AS `delta` from ((`chained_searches_by_week` join `pages_urls` on((`pages_urls`.`search_id` = `chained_searches_by_week`.`search_id`))) left join `pages_urls` `prior_pages_urls` on(((`prior_pages_urls`.`search_id` = `chained_searches_by_week`.`prior_search_id`) and (`prior_pages_urls`.`url_id` = `pages_urls`.`url_id`))))
Wednesday, May 29, 13
Image source: http://static.fjcdn.com/pictures/pear_ff99e0_3037113.jpg
what is in that black
box?
Wednesday, May 29, 13
Image source: htto://www.amazon.com
Wednesday, May 29, 13
flow happinessmastery
Wednesday, May 29, 13
cause&
effect
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Wednesday, May 29, 13
I may not be there today, but I am closer than I was yesterday.
Wednesday, May 29, 13
we are defined by what we make time to do
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Wednesday, May 29, 13
thank you
presentation by: kate matsudaira
popforms
Wednesday, May 29, 13
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