I would do 1/ to have a more near real time search.
Also, I'd the idea that I have an object in memory and I simply push it to 
MySQL and to ES in the same time. No need to read again the object from MySQL 
to index it in another process (proposition 2)

That said you could use also a Message Queue in the middle if you want to be 
able at some point to stop your ES cluster without stopping your application.
This is what I did in the past.

My 2 cents

-- 
David Pilato | Technical Advocate | Elasticsearch.com
@dadoonet | @elasticsearchfr


Le 8 janvier 2014 at 20:13:40, arthurX ([email protected]) a écrit:

Hello! I use MySQL as my primary datastore and use Elasticsearch to further 
index the documents.
My problem is keeping the data in ES in sync with MySQL.

Currently I have two methods in mind:
1. whenever add or update an entry in MySQL, do the action together in ES.
2. Do some cron jobs that periodically keep ES in sync with the data in MySQL.

For method 2 I wonder how can I check if an entry is already indexed in 
Elasticsearch. And would it be efficient at all if I have to check every entry 
to see if it is updated? 

I am new to the technology and I am afraid I had missed some really obvious and 
established solutions here. Or otherwise the "normal" way this situation is 
handled?
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