Hi All,
Background:
I am currently testing a deployment of a content management framework where
I am trying to punt Solr as the tool of choice for ingestion and searching.
Current status:
I have deployed SolrCloud across multiple servers with multiple shards and
a replication factor of 2.
In terms of collections, I have a person collection that contains details
individuals including address and high level portfolio info. Structurally,
this collection contains great grandchildren.
Then I have a few collections that deals with content. For now, content is
just emails and document with a max size of 2MB, with certain user
exceptions that can go higher than 2MB.
Content is indexed twice in terms of the actual content, firstly as
binary/stream and then as readable text. Metadata is negligible
Challenges:
When performing full text searches without concurrently executing updates,
solr seems to be doing well. Running updates also does okish given the
nature of the transaction. However, when I run search and updates
simultaneously, performance drops quite significantly. I have played with
field properties, analyzers, tokenizers, shafting sizes etc.
Any advice?
Would like to know if anyone has done something similar. Please excuse the
long winded message
--
Sent from Gmail Mobile
Background:
I am currently testing a deployment of a content management framework where
I am trying to punt Solr as the tool of choice for ingestion and searching.
Current status:
I have deployed SolrCloud across multiple servers with multiple shards and
a replication factor of 2.
In terms of collections, I have a person collection that contains details
individuals including address and high level portfolio info. Structurally,
this collection contains great grandchildren.
Then I have a few collections that deals with content. For now, content is
just emails and document with a max size of 2MB, with certain user
exceptions that can go higher than 2MB.
Content is indexed twice in terms of the actual content, firstly as
binary/stream and then as readable text. Metadata is negligible
Challenges:
When performing full text searches without concurrently executing updates,
solr seems to be doing well. Running updates also does okish given the
nature of the transaction. However, when I run search and updates
simultaneously, performance drops quite significantly. I have played with
field properties, analyzers, tokenizers, shafting sizes etc.
Any advice?
Would like to know if anyone has done something similar. Please excuse the
long winded message
--
Sent from Gmail Mobile