Hi All,
We are upgrading Lucene from 4.6 to 8.3.
Earlier we used Open bit, Now it is deprecated. We have two options in latest
version(FixedBitset or LongBitset).
Could you please let me know which is the best option to use. Is there any
points need to be consider while choosing one of them.
Ah, I should have noticed that. Yes, there was a change in how string
literals are handled. Quotes are now required for string literals in Math
Expressions. I suspect this change is going to cause problems for other
people as well, but it needed to be done to clarify aspects of the
language. Sorry
Hello,
> Is it different from checkIndex -exorcise option?
> (As far as I recently leaned, checkIndex -exorcise will delete unreadable
> indices. )
If you mean desktop app Luke, "Repair" is just a wrapper of
CheckIndex.exorciseIndex(). There is no difference between doing
"Repair" from Luke GUI
No problem, but thanks a lot for the feedback and considerations. I will try to
get into the process on how to update the Solr ref guide. I found a lot of
things that I could solve to facilitate others to do a solution based on Solr.
> Am 20.11.2019 um 13:04 schrieb Joel Bernstein :
>
>
>
Hi there!
My colleague and I have run into an issue that seems to appear when running
the Solr Prometheus exporter in SolrCloud mode against a large (> 100 node)
cluster. The symptoms we're observing are "connection pool shut down"
exceptions in the logs and the inability to collect metrics from
Hi,
If you use it for document filtering queries or to filter deleted documents,
then FixedBitSet is the best replacement. The size given in the constructor
must be the value of LeafReader#maxDoc(), because that's the maximum document
number that can be used and may be marked in the bitset for
Pull request is here: https://github.com/apache/lucene-solr/pull/1022/
Thanks!
Alex Jablonski
On Wed, Nov 20, 2019 at 1:36 PM Alex Jablonski
wrote:
> Hi there!
>
> My colleague and I have run into an issue that seems to appear when
> running the Solr Prometheus exporter in SolrCloud mode