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Google App Engine is now much faster, after latest maintenance (code.google.com)
125 points by ordinaryman on Nov 7, 2010 | hide | past | web | favorite | 44 comments



Our app (http://gri.pe) feels a lot snappier after this latest bit of datastore maintenance. We've been using as much memcache as possible to avoid datastore access because prior to this maintenance, datastore access was spiky and even the simplest of queries had a small chance of timing out.

I can say for sure that some of our datastore-heavy cron jobs were taking > 200ms, but are around 70ms now.

It's a shame that the stats for > 12hrs ago seem to have been wiped. I bet we'd be seeing a marked improvement on our ms/request stat.


Unrelated question: how are you doing those cron jobs.

I tried using the task queue, but it kept timing out on me, even when I broke my tasks into smaller ones (couldn't figure out a threshold as the behavior of the datastore was totally unpredictable).



Quote from that article:

     A URL invoked by cron is subject to the same limits 
     and quotas as a normal HTTP request, including 
     the request time limit.
And I'm looking for some tips and tricks to do heavy processing (which is really needed when working with non-relational datastores).


The key is to combine cron jobs with Tasks. Tasks are am easy to use and powerful feature of Google Appengine that let you deal with the standard limitations. For example, rather than doing some operation on 1000 entities in one request, you spin off 1000 tasks, each handling the operation on one entity. Read up about them at http://code.google.com/appengine/docs/python/taskqueue/

You can also explore the new Mapper API at http://blog.notdot.net/2010/05/Exploring-the-new-mapper-API


Agreed, the Mapper API is the best way to deal with processing large numbers of entities from the datastore.

AppEngine requires careful thought of application design at this point. Everything is an HTTP request and subject to the same restrictions.

I've heard rumours that they'll be launching longer-lived tasks at some point in the future, but I have no idea when that will happen.


We have to break our cron jobs down into single datastore queries for them to succeed near 100% of the time. If you want more complex logic, use a cron job to trigger tasks that process smaller bits of your operation.

Even our cron job to compute the top users on our site (a simple query + ordering) uses one second of CPU time between the application and the datastore. It's just something you get used to in AppEngine.


It's a shame that the stats for > 12hrs ago seem to have been wiped. I bet we'd be seeing a marked improvement on our ms/request stat.

Just click the left-facing arrow next to the date. Here are the stats for 11/5: http://code.google.com/status/appengine/detail/datastore/201...

and here are the stats for 11/4: http://code.google.com/status/appengine/detail/datastore/201...


Sorry, I meant the internal application statistics. You can visit your dashboard to view "milliseconds per request", but the data doesn't exist from before this maintenance period.

One interesting aside: our nightly datastore backup (using the remote API) no longer causes 500 errors! Hooray!


As any ops guy will tell you, this is the finest form of graph porn there is.


It would have been sexier on a semi-log-y scale. That said, as someone who's always been annoyed at the high latency of App Engine's datastore, this is huge if they can deliver this level of latency with low variability.


This headline should say "GETs to the datastore are now much faster".

EDIT: I neglected to see the other datastore figures.


You should also check out the latency for Put, Update, Delete and Query on that same page.


Ah, you're right.


Put, Update and Delete are much faster too.


looks like they took a 1hr write outage at deployment time, so presumably a fairly beefy change under the hood.


Most of the datastore maintenance windows are about an hour long. Previous ones have even gone two hours.


Good news but I really hope Google figures out how to solve DeadlineExceededError. They are popping up from time to time for my app (http://www.knowcase.com) and I don't think it's datastore related.


This reply from a few days back should shed some light on the issue: http://news.ycombinator.com/item?id=1823362


I just tried a high traffic site that runs on App Engine (appbrain.com). It used to feel a bit slow, and now it really flies.

It definitely makes me reconsider using App Engine for new projects.

Disclaimer: I have no connection to Appbrain aside from meeting the developers once.


It's still too early to tell. This would not be the first time that speed improves after a maintenance and then it slowly gets worse every week until it looks almost like before the maintenance.


Is it possible that the degradation in performance is due to more developers building more apps and driving more traffic to App Engine as time goes on?


The performance degrades too quickly for this. In two or three months we might be on our old performance level, again. Well, I seriously hope that we'll stay fast this time. Only time will tell.


They even solved a bug with the datastore quota not being properly updated after a massive delete of entities.

Kudos to the team, and I, too, hope that the latency will remain this low forever and ever


Looking at the error rates, I wonder what happened at around 12pm? (Screenshots: http://grab.by/7gJ4 http://grab.by/7gJ5 http://grab.by/7gJh)


From the maintenances mailing list:

The maintenance work has been completed. The datastore was in a read-only period between 12:02-12:45 for a total of 43 minutes. Some users reported two periods of 500 errors unrelated to datastore writes, but these issues should no longer be occurring.

On Nov 6, 12:01 pm, App Engine Downtime Notify <i...@google.com>


This site, probably NSFW, makes use of the datastore (for the thumbnails) and it's now much faster, it's a pity we can't compare speeds with the old latency.

http://wallres.saiswa.com/?tags=girls&pagina=23


My dinky app dropped from 60ms/request to 20ms/request, but over the next 3 hours crept up more or less linearly to about 30ms/request.


I missed the word "app" when reading your comment and thought it was a clever joke.


A SFW website with a lot of images too.. yes, considerably faster.. http://my.educonsole.com/free-educational-games-for-kids/ide...

(By the way, the above site was my gift for my son on his fourth birthday)


It's amazing the difference low latency can make when dealing with lots of small images.


The sense that the app store has been a neglected, second-tier priority is deep enough now that it will take them a while to regain significant developer trust.

AWS is very close to a de-facto standard now.

Edit: I mean app engine, the hosted web service. Not the app store. Thanks.


app store has been a neglected

I guess you are confusing the Google App Engine's App Gallery : http://appgallery.appspot.com/, which has been removed for some reasons and the Google Apps Marketplace : http://www.google.com/enterprise/marketplace, which is the actual App Store, where you could pay and install apps.

App Gallery was just a GAE application show-case center, and most likely was causing confusion to Google Apps customers too.

I am still a developer who trusts GAE (my app was on the appgallery and is also listed on marketplace) and believe that they will continue to compete for developer mind-share, as they proved yet again with this performance update.

Let go of the fear, uncertainty & doubt and hop on to try an app. You will like it too.


I agree. However I hope they do regain that trust b/c app engine is a far more pleasant platform to develop on.


Can't repeat this enough: the main reason I develop on appengine is that it removes server admin headaches completely from the equation. Ok, you get other headaches in return, but most of the time it's stuff I can deal with.


the app engine applications gallery is now gone, too. coincidence???

http://appgallery.appspot.com/results?topapps=true


enterprisey.


that 's great :) hopefully, now they can work on improving support for JDO/JPA and release those great features announced in Google I/O.


thank you google! wow, this is amazing.


I expected something more than a graphic.


Ah, thanks for the hate, ordinaryman.


Not me. And, even if I wanted to, I can't.

Also, I guess Google folks would post about the performance boost later.


Ok, please excuse me.


In either case - from the HN guidelines: "Resist complaining about being downmodded. It never does any good, and it makes boring reading."




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