Our updating requests is very heavy. So we met several performance problems:
1)replicas can not catch up the index speed of leader after run some moment
and had to recover, but very slow and often failed.
2)data inconsistent between leader/replica, you got different results when
do same query twice
I'm happy to hear that. It's good option for Solr + HDFS solution. This can
avoid much performance issues.
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why you use 15 replicas?
more replicas more slower.
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We used HDFS as our Solr index storage and we really have a heavy update
load. We had met much problems with current leader/replica solution. There
is duplicate index computing on Replilca side. And the data sync between
leader/replica is always a problem.
As HDFS already provides data replication
Thanks. You are right. It's the key.
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thanks. i think it's a good option for me.
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Hi ,
i'm using SolrJ to do some indexing work with CloudSolrServer class. It's
strange that when i start several threads (each thread add 1 documents)
to add documents, the result is just only 1 can be indexed finally. But
if i change the thread num as 1, everything is ok. Even if it'
Hi, i'm newer for solr cloud. i met a question here.
we use hdfs as file storage service and use Solr cloud to provide indexing
service and query service.
But solr cloud will replicate index/data files between leader and replica.
And the hdfs replicates the files too.
i think it wil waste disk s
