Analytics December 2017

analytics@lists.wikimedia.org

6 participants
9 discussions

Beeline as Hive client
by Madhumitha Viswanathan 02 Oct '18

02 Oct '18

Hi all, For all Hive users using stat1002/1004, you might have seen a deprecation warning when you launch the hive client - that claims it's being replaced with Beeline. The Beeline shell has always been available to use, but it required supplying a database connection string every time, which was pretty annoying. We now have a wrapper <https://github.com/wikimedia/operations-puppet/blob/production/modules/role…> script setup to make this easier. The old Hive CLI will continue to exist, but we encourage moving over to Beeline. You can use it by logging into the stat1002/1004 boxes as usual, and launching `beeline`. There is some documentation on this here: https://wikitech.wikimedia.org/wiki/Analytics/Cluster/Beeline. If you run into any issues using this interface, please ping us on the Analytics list or #wikimedia-analytics or file a bug on Phabricator <http://phabricator.wikimedia.org/tag/analytics>. (If you are wondering stat1004 whaaat - there should be an announcement coming up about it soon!) Best, --Madhu :)

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Migrated Reportcard with Updated Data
by Nuria Ruiz 12 Mar '18

12 Mar '18

Hello! The Analytics team would like to announce that we have migrated the reportcard to a new domain: https://analytics.wikimedia.org/dashboards/reportcard/#pageviews-july-2015-… The migrated reportcard includes both legacy and current pageview data, daily unique devices and new editors data. Pageview and devices data is updated daily but editor data is still updated ad-hoc. The team is working at this time on revamping the way we compute edit data and we hope to be able to provide monthly updates for the main edit metrics this quarter. Some of those will be visible in the reportcard but the new wikistats will have more detailed reports. You can follow the new wikistats project here: https://phabricator.wikimedia.org/T130256 Thanks, Nuria

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Wikipedia aggregate clickstream data released
by Dario Taraborelli 16 Jan '18

16 Jan '18

We’re glad to announce the release of an aggregate clickstream dataset extracted from English Wikipedia http://dx.doi.org/10.6084/m9.figshare.1305770 <http://dx.doi.org/10.6084/m9.figshare.1305770> This dataset contains counts of (referer, article) pairs aggregated from the HTTP request logs of English Wikipedia. This snapshot captures 22 million (referer, article) pairs from a total of 4 billion requests collected during the month of January 2015. This data can be used for various purposes: • determining the most frequent links people click on for a given article • determining the most common links people followed to an article • determining how much of the total traffic to an article clicked on a link in that article • generating a Markov chain over English Wikipedia We created a page on Meta for feedback and discussion about this release: https://meta.wikimedia.org/wiki/Research_talk:Wikipedia_clickstream <https://meta.wikimedia.org/wiki/Research_talk:Wikipedia_clickstream> Ellery and Dario

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Eventlogging - Mysql inserts to m4-master/db1107 are temporarily suspended to allow a backup
by Luca Toscano 18 Dec '17

18 Dec '17

Hi everybody, just wanted to let you know that we have stopped the Eventlogging Mysql Kafka consumers on eventlog1001 for https://phabricator.wikimedia.org/T183123. They will be re-enabled as soon as possible. Thanks! Luca

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The notebook1002 host will be temporary repurposed as Kafka Analytics broker
by Luca Toscano 18 Dec '17

18 Dec '17

Hi everybody, as outlined in https://phabricator.wikimedia.org/T181518 the Analytics team needs to repurpose the notebook1002 host (one of the PAWS/Jupyter nodes) as Kafka Analytics broker for a urgent maintenance procedure. We are not aware of anybody actively using it (as it happens with notebook1001) but to be on the safe side all the home directories will be saved on notebook1001's /srv directory in case somebody needs that data. We are in the process of ordering new hardware to replace the current notebook1001 and 1002 hosts, so the absence of notebook1002 will be only temporary. Thanks! Luca (on behalf of the Analytics team)

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Wikistats gets a facelift - Alpha Launch of Wikistats 2
by Nuria Ruiz 13 Dec '17

13 Dec '17

Hello from Analytics Team! We are happy to announce the Alpha release of Wikistats 2. Wikistats has been redesigned for architectural simplicity, faster data processing, and a more dynamic and interactive user experience. First goal is to match the numbers of the current system, and to provide the most important reports, as decided by the Wikistats community (see survey) [1]. Over time, we will continue to migrate reports and add new ones that you find useful. We can also analyze the data in new and interesting ways, and look forward to hearing your feedback and suggestions. [2] You can go directly to Spanish Wikipedia https://stats.wikimedia.org/v2/#/es.wikipedia.org or browse all projects https://stats.wikimedia.org/v2/#/all-projects The new site comes with a whole new set of APIs, similar to our existing Pageview API but with edit data. You can start using them today, they are documented here: https://wikitech.wikimedia.org/wiki/Analytics/AQS/Wikistats FAQ: Why is this an alpha? There are features that we feel a full-fledged product should have that are still missing, such as localization. The data-processing pipeline for the new Wikistats has been rebuilt from scratch (it uses distributed-computing tools such as Hadoop) and we want to see how it is used before calling it final. Also while we aim to update data monthly, it will happen a few days after the month rolls because of the amount of data to move and compute. How about comparing data between two wikis? You can do it with two tabs but we are aware this UI might not solve all use cases for the most advanced Wikistats users. We aim to tackle those in the future. How do I file bugs? Use the handy link in the footer: https://phabricator.wikimedia.org/maniphest/task/edit/?title=Wikistats%20Bu… How do I comment on design? The consultation on design already happened but we are still watching the talk page: https://www.mediawiki.org/wiki/Wikistats_2.0_Design_Project/RequestforFeedb… [1] https://www.mediawiki.org/wiki/Analytics/Wikistats/DumpReports/Future_per_r… [2] https://wikitech.wikimedia.org/wiki/Talk:Analytics/Systems/Wikistats

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December 2017 Research Showcase
by Lani Goto 13 Dec '17

13 Dec '17

Hi Everyone, The next Research Showcase will be live-streamed this Wednesday, December 13, 2017 at 11:15 AM (PST) 18:15 UTC. YouTube stream: https://www.youtube.com/watch?v=OoVwus1Owtk As usual, you can join the conversation on IRC at #wikimedia-research. And, you can watch our past research showcases here. This month's presentation: *The State of the Article Expansion Recommendation System* By Leila Zia Only 1% of English Wikipedia articles are labeled with quality class Good or better, and 37% of the articles are stubs. We are building an article expansion recommendation system to change this in Wikipedia, across many languages. In this presentation, I will talk with you about our current thinking of the vision and direction of the research that can help us build such a recommendation system, and share more about one specific area of research we have heavily focused on in the past months: building a recommendation system that can help editors identify what sections to add to an already existing article. I present some of the challenges we faced, the methods we devised or used to overcome them, and the result of the first line of experiments on the quality of such recommendations (teaser: the results are really promising. The precision and recall at 10 is 80%.) -- Lani Goto Project Assistant, Engineering Admin

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[Analytics Cluster] Downtime announcement for Oozie/Hive - Dec 7 10AM CET
by Luca Toscano 07 Dec '17

07 Dec '17

Hi everybody, we'd need to reboot the analytics1003 host for Linux kernel and openjdk updates tomorrow Dec 07 at 10 AM CET. Hive and Oozie will stop for a (hopefully) brief amount of time, but since they'll need to stop before the reboot it might happen that in flight jobs/queries fail. We'll try to avoid the reboot if too many jobs are running, but at some point we'll need to pull the trigger. Please let me know on IRC (#wikimedia-analytics, elukey) or via email if you have any issue with this maintenance. Thanks and sorry for the trouble! Luca (on behalf of the Analytics team)

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EventLogging data now available in Hive
by Andrew Otto 04 Dec '17

04 Dec '17

Hi everyone, We are now supporting Hive tables with EventLogging data! This has been a long project <https://phabricator.wikimedia.org/T162610>. We finally feel comfortable enough to announce support for this method of querying EventLogging data. You can read documentation on how to access this data here: https://wikitech.wikimedia.org/wiki/Analytics/Systems/EventLogging#Hadoop_&… The ‘event’ database in Hive now contains tables for most EventLogging schemas, including both ‘analytics’ schemas <https://meta.wikimedia.org/w/index.php?title=Special%3AAllPages&from=&to=&n…> and some of the ‘EventBus’ schemas <https://github.com/wikimedia/mediawiki-event-schemas/tree/master/jsonschema> . Since Hive is a strongly typed system, there are limitations to what data can be imported from JSON. The job that imports this data <https://github.com/wikimedia/analytics-refinery-source/blob/master/refinery…> does a bit of magic to infer the field types from the data itself. If your data is ever produced with a field that has multiple types (e.g. string vs object, integer vs. float, etc.), the import for the whole hour that the discrepancy is in will fail. Please be careful when you design your schemas and with your code that emits the events. We’ve recently been putting together some draft guidelines for new schemas <https://wikitech.wikimedia.org/wiki/Analytics/Systems/EventLogging/Schema_G…>. Keep these in mind when you design new schemas :) This is a new thing and it could be buggy! Please let us know if you encounter problems while using this data. - Your friendly Analytics engineering team

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Analytics December 2017