On 4/4/2016 3:46 PM, Robert Brown wrote:
> I have 2 shards, 1 replica in each.
>
> The issue is the external processing job(s) I have to convert external
> data into JSON, and then upload it via cURL.
>
> Will one Solr server only accept one update at a time and have any
> others queued? (And poss
Solr would push all updates to all shards that are supposed to host the
data. The documents are initially forwarded to the leader of the shard,
which can dynamically change and the leader is responsible for versioning
and ensuring replication across the followers but other than that, all
nodes woul
Does SOLR cloud push indexing across all nodes? I've been planning 4 SOLR
boxes with only 3 exposed via the load balancer, leaving the 4th available
internally for my microservices to hit with indexing work.
I was assuming that if I hit my "solr4" IP address, only "solr4" will do
the indexing...
The short answer is - There's no real limit on Solr in terms of
concurrency.
Here are a few things that would impact your numbers though:
* What version of Solr are you using and how ? i.e. SolrCloud, standalone,
traditional replication ?
* Do you use atomic updates?
* How do you index ?
Assuming
Thanks John,
I have 2 shards, 1 replica in each.
The issue is the external processing job(s) I have to convert external
data into JSON, and then upload it via cURL.
Will one Solr server only accept one update at a time and have any
others queued? (And possibly timeout).
I like the idea of
Will the processes be Solr processes? Or do you mean multiple threads
hitting the same Solr server(s)?
There will be a natural bottleneck at one Solr server if you are hitting it
with a lot of threads - since that one server will have to do all the
indexing.
I don't know if this idea is helpful,
Hi,
Does Solr have any sort of limit when attempting multiple updates, from
separate clients?
Are there any safe thresholds one should try to stay within?
I have an index of around 60m documents that gets updated at key points
during the day from ~200 downloaded files - I'd like to fork off
