TE
TechEcho
Home24h TopNewestBestAskShowJobs
GitHubTwitter
Home

TechEcho

A tech news platform built with Next.js, providing global tech news and discussions.

GitHubTwitter

Home

HomeNewestBestAskShowJobs

Resources

HackerNews APIOriginal HackerNewsNext.js

© 2025 TechEcho. All rights reserved.

Ask HN: Identifying duplicate data from a large dataset?

2 pointsby gerenukabout 6 years ago
Hi,<p>We have a dataset around 150 million URLs and other meta data in ElasticSearch and looking for an efficient way to identify the duplicate URLs&#x2F;titles from our dataset. Used ElasticSearch term aggregation but it becomes very slow and returns only 10,000 URLs and most of the time it misses the URLs.<p>Currently, we have a redis with Sorted Sets, before any indexing URL, we look for the into redis set.<p>Options we have explored:<p>1. Clickhouse, storing all the URL and running aggregation etc. on it later on? 2. Storing the URLs in redis along with bloomfilter.<p>If you have worked on a similar thing, would love to hear your feedback.<p>Thanks.

1 comment

verdvermabout 6 years ago
This is easier than deduplicating the many different URLs which have the same content. A harder problem awaits you!<p>ML &amp; basic stats
评论 #19424917 未加载