Hivesearcher update, indexing improvements

As many of you know Hivesearcher is best opensource, decentralized search engine built on Hive. You can find any content regardless of age and author, reward, quickly. Flexibility it offers is huge and of course it is horizontally scalable.

Recent hardfork brought a lot of unexpected changes to Hivemind (layer-2 api), one of those changes were completely removal of hive_posts_cache table.

Hivesearcher is a plugin or extension built on top of Hivemind and hive_posts_cache table was used as source of content for Hivesearcher Elastic search engine. After removal, we had to improve code and make some changes so our indexing could continue and search has up to date information.

Also feeding incorrect information to elastic search instance would disrupt data and thus affects the search results and ranking. That's why we halted syncing after hardfork until Hivemind data was correct and had stable version. Since last week our Hivemind instance seem to be running much better and collecting/giving correct data, so we enabled indexing of newer posts.

No changes required from dapps developers

API endpoint had zero downtime, during those upgrades https://api.hivesearcher.com

API documentation, integrate fast search engine for your Hive dapps, offer custom feed and content filters to your users.

Proposal details

• Read details of Hivesearcher proposal
• Vote for proposal using Hivesigner
• Source: https://github.com/ecency/hive2elastic