As per my understanding if the data getting indexed is completely different
and does not fall into same schema they can be segregated for indexing.
But if they fit into same schema then it is better to keep them in same
index and if the index size grows then switch to SolrCloud as it has lots
of be
Just to give you a context of what I am talking about, I am collecting data
from different sources (such as articles, videos etc.). Moreover, I will be
doing enrichment on the data such as Entity Extraction. From my previous
experiment with Solr what I was doing is dumping all articles, videos meta
Thanks for your response. I have already gone through those documents
before. My point was that if I am using Solr Cloud the only way to
distribute my indexes is by adding shards? and I don't have to do anything
manually (because all the distributed search is handled by Solr Cloud).
Yes as per my
Thanks for your response. I have already gone through those documents
before. My point was that if I am using Solr Cloud the only way to
distribute my indexes is by adding shards? and I don't have to do anything
manually (because all the distributed search is handled by Solr Cloud).
What is the Xm
SolrCloud makes the distributed search easier. You can find details about
it under following link.
https://cwiki.apache.org/confluence/display/solr/How+SolrCloud+Works
You can also refer to following link:
https://cwiki.apache.org/confluence/display/solr/Shards+and+Indexing+Data+in+SolrCloud
>Fro
Here is the current info
How much memory is used?
Physical memory consumption: 5.48 GB out of 14 GB.
Swap space consumption: 5.83 GB out of 15.94 GB.
JVM-Memory consumption: 1.58 GB out of 3.83 GB.
What is your index size?
I have around 70M documents distributed on 2 shards (so each shard has 35M
What is your index size? How much memory is used? What type of queries are
slow?
Are there GC pauses as they can be a cause of slowness?
Are document updates/additions happening in parallel?
The queries are very slow to run so I was thinking to distribute
the indexes into multiple indexes and cons
