Commit Parameters: Server does an auto commit every 30 seconds with
open_searcher=false. The pipeline does a hard commit only at the very end
of its run
The high CPU issue I am seeing is only during the reads and not during the
writes. Right now I see a direct corelation between latencies and #
Hi,
We are testing solr.
We have a document with some 100 indexes and there are around 10 million
records.It is failing,either stuck or timed out on query.
Is this indexing job possible with solr?
If Yes,what should be the hardware,solr configuration and how many nodes
would be optimum?
Now I am
You haven't told us anything about _how_ you're
trying to index this document nor what it's format
is. Nor what 100 indexes and around 10 million
records means. 1B total records? 10M total records?
Solr easily handles 10s of M records on a single decent
size node, I've seen between 50M and
In most of our Solr use-cases, we fetch only fl=uniqueKey or
fl=uniqueKey,another_int_field. I'd like to be able to do a distributed
search and skip STAGE_GET_FIELDS -- i.e. the stage where each shard is
queried for the documents found the the top ids -- as it seems like we
could be collecting
What a coincidence - I was about to commit a patch which makes it
possible. It will be released with 4.8
See https://issues.apache.org/jira/browse/SOLR-1880
On Sun, Feb 23, 2014 at 11:27 PM, Gregg Donovan gregg...@gmail.com wrote:
In most of our Solr use-cases, we fetch only fl=uniqueKey or
I should clarify though that this optimization only works with fl=id,score.
On Sun, Feb 23, 2014 at 11:34 PM, Shalin Shekhar Mangar
shalinman...@gmail.com wrote:
What a coincidence - I was about to commit a patch which makes it
possible. It will be released with 4.8
See
On Sun, Feb 23, 2014 at 1:08 PM, Shalin Shekhar Mangar
shalinman...@gmail.com wrote:
I should clarify though that this optimization only works with fl=id,score.
Although it seems like it should be relatively simple to make it work
with other fields as well, by passing down the complete fl
I should also mention that apart from committing, the pipeline also does a
bunch of deletes for stale documents (based on a custom version field). The
# of deletes can be very significant causing the % of deleted documents to
be easily 40-50% of the index itself
Thanks
KNitin
On Sun, Feb 23,
I've compared the results when using WikipediaTokenizer for index time
analyzer but there is no difference?
2014-02-23 3:44 GMT+02:00 Ahmet Arslan iori...@yahoo.com:
Hi Furkan,
There is org.apache.lucene.analysis.wikipedia.WikipediaTokenizer
Ahmet
On Sunday, February 23, 2014 2:22 AM,
Hi,
I come across the issue with urlencoding between PHP and Solr.
I have a field indexed with value *WBE(Honda Edix)* in Solr.
From PHP codes, if I urlencode($string) and send to Solr, I do not get the
accurate results.
Here is the part of the solr query *fq=model:WBE(Honda+Edix)*
However, If I
On 2/23/2014 8:58 PM, manju16832003 wrote:
I come across the issue with urlencoding between PHP and Solr.
I have a field indexed with value *WBE(Honda Edix)* in Solr.
From PHP codes, if I urlencode($string) and send to Solr, I do not get the
accurate results.
Here is the part of the solr
On Mon, Feb 24, 2014 at 11:52 AM, Shawn Heisey s...@elyograg.org wrote:
The Solarium library for PHP also says that it does escaping, but I
can't find the manual section that they mention about term escaping.
Here's a section that has an example of phrase escaping (putting the
value in
Hi Shawn and Rico,
Thanks you for your suggestions, those are valuable suggestions :-).
If Pharse Query does not work as we expected sometimes, I guess we could use
*TermQuery* instead.
http://blog.florian-hopf.de/2013/01/make-your-filters-match-faceting-in-solr.html
This worked fine
Hi,
We have raw binary data stored in database(not word,excel,xml etc files) in
BLOB.
We are trying to index using TikaEntityProcessor but nothing seems to get
indexed.
But the same configuration works when xml/word/excel files are stored in the
BLOB field.
Below is our data-config.xml:
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