There is no single easy answer to the question. There are a number of
solutions to the problem, in this thread we've so far listed the
following: reindex document in single index, using parallell indices
and filters created from the source data. There are other things one
can do too, but which solution or what combination of them to use
depends on your needs and your data.
Perhaps someone could create a Wiki page that describes the different
approaches.
karl
12 sep 2008 kl. 18.43 skrev Gerardo Segura:
I think the important question is: in general how to cope with
frequently changing fields.
Karl Wettin wrote:
Hi Wojciech,
can you please give us a bit more specific information about the
meta data fields that will change? I would recommend you looking at
creating filters from your primary persistency for query clauses
such as unread/read, mailbox folders, et c.
karl
12 sep 2008 kl. 13.57 skrev Wojciech Strza?ka:
Hi.
I'm new to Lucene and I would like to get a few answers (they can
be lame)
I want to index large amount of emails using Lucene (maybe SOLR),
not only
the contents but also some metadata like state or flags. The
problem is that the metadata will change during mail lifecycle,
although much smaller updating this information will require
reindex the whole mail content which I see performance bottleneck.
I have the data in DB also so my first question is:
- are there any best practices to implement my needs (querying both
lucene & DB and then merging in memory?, close one eye and re-index
the whole content on every metadata change? others?)
- is at all Lucene good solution for my problem?
- are there any plans to implement field updates in more
efficient way then
delete/insert the whole document? if yes what's the time horizon?
Best regards
Wojtek
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