×
  • Share
  • Email
  • Embed
  • Like
  • Save
  • Private Content
 

ElasticSearch in Production: lessons learned

by on Nov 06, 2012

  • 26,799 views

With Proquest Udini, we have created the worlds largest online article store, and aim to be the center for researchers all over the world. We connect to a 700M solr cluster for search, but have ...

With Proquest Udini, we have created the worlds largest online article store, and aim to be the center for researchers all over the world. We connect to a 700M solr cluster for search, but have recently also implemented a search component with ElasticSearch. We will discuss how we did this, and how we want to use the 30M index for scientific citation recognition. We will highlight lessons learned in integrating ElasticSearch in our virtualized EC2 environments, and challenges aligning with our continuous deployment processes.

Statistics

Views

Total Views
26,799
Views on SlideShare
26,560
Embed Views
239

Actions

Likes
35
Downloads
247
Comments
1

4 Embeds 239

http://wiki.ebaykorea.com 125
https://twitter.com 111
https://si0.twimg.com 2
https://sendtoinc.com 1

Accessibility

Categories

Upload Details

Uploaded via SlideShare as Microsoft PowerPoint

Usage Rights

© All Rights Reserved

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel

11 of 1 previous next

  • shashankagarwal1706 shashankagarwal1706 1M records do not take 40 seconds. It depends on which version you were operating. Also, you can break your 1 M records in batches as it was already mentioned and make your requests parallel and target different nodes of Elastic Search. This will improve your insertion rate quite a bit. 1 year ago
    Are you sure you want to
    Your message goes here
    Processing…
Post Comment
Edit your comment

ElasticSearch in Production: lessons learned ElasticSearch in Production: lessons learned Presentation Transcript