Best,
Johannes
Am Do., 23. Apr. 2020 um 09:55 Uhr schrieb Johannes Siegert <
johannes.sieg...@offerista.com>:
> Hi,
>
> we want to use gzip-compression between our application and the solr
> server.
>
> We use a standalone solr server version 8.4.1 and the prepackaged
Hi,
we want to use gzip-compression between our application and the solr server.
We use a standalone solr server version 8.4.1 and the prepackaged jetty as
application server.
We have enabled the jetty gzip module by adding these two files:
{path_to_solr}/server/modules/gzip.mod (see below the
Hi,
we are using the SnowballPorterFilter to stem our tokens for serveral
languages.
Now we want to update the list of protected words over the Solr-API.
As I can see, there are only solutions for SynonymFilter and the
StopwordFilter with ManagedSynonymFilter and ManagedStopFilter.
Do you know
Thanks. The statements on
http://wiki.apache.org/solr/SolrCaching#showItems are not explicitly
enough for my question.
Hi,
some of my solr indices have a low cache-hit-ratio.
1 Does sorting the parts of a single filter-query have impact on
filter-cache- and query-result-cache-hit-ratio?
1.1 Example: fq=field1:(2 or 3 or 1) to fq=field1:(1 or 2 or 3) -> if
1,2,3 are randomly sorted
2 Does sorting the parts of t
Hi,
i want to sort my documents by a given order. The order is defined by a
list of ids.
My current solution is:
list of ids: 15, 5, 1, 10, 3
query: q=*:*&fq=(id:((15) OR (5) OR (1) OR (10) OR
(3)))&sort=query($idqsort) desc,id asc&idqsort=id:((15^5) OR (5^4) OR
(1^3) OR (10^2) OR (3^1))&s
Hi,
does the NGramTokenizer have an influence to the length normalization?
Thanks.
Johannes
Hi.
My solr-index (version=4.7.2.) has an id-field:
...
id
The index will be updated once per hour.
I use the following query to retrieve some documents:
"q=id:2^2 id:1^1"
I would expect that the document(2) should be always before the
document(1). But after many index updates document(1)
Thanks Shawn!
In this case I will use operators everywhere.
Johannes
Am 25.06.2014 15:09, schrieb Shawn Heisey:
On 6/25/2014 1:05 AM, Johannes Siegert wrote:
I have defined the following edismax query parser:
100%edismax0.01100*:*ANDfield1^2.0 field210*
My search query looks like:
q
Hi,
I have defined the following edismax query parser:
name="defaults">100%name="defType">edismax0.01name="ps">100*:*name="q.op">ANDfield1^2.0 field2name="rows">10*
My search query looks like:
q=(word1 word2) OR (word3 word4)
Since I specified AND as default query operator, the query shoul
Hi,
I have updated my solr instance from 4.5.1 to 4.7.1. Now the parsed
query seems to be not correct.
Query: /*q=*:*&fq=title:T&E&debug=true */
Before the update the parsed filter query is "*/+title:t&e +title:t
+title:e/*". After the update the parsed filter query is "*/+((title:t&e
title
Hi,
I have updated my solr instance from 4.5.1 to 4.7.1.
Now my solr query failing some tests.
Query: q=*:*&fq=(title:((T&E)))?debug=true
Before the update:
*:*
*:*
MatchAllDocsQuery(*:*)
*:*
LuceneQParser
(title:((T&E)))
+title:t&e +title:t +title:e
...
After the update:
*:*
*:*
Mat
understand your goal.
But generally, a purely negative nested query must have a *:* term to
apply the exclusion against:
fq=((*:* -(field1:value1)))+OR+(field2:value2).
-- Jack Krupansky
-Original Message- From: Johannes Siegert
Sent: Tuesday, February 11, 2014 10:57 AM
To: solr-user
Hi,
my solr-request contains the following filter-query:
fq=((-(field1:value1)))+OR+(field2:value2).
I expect solr deliver documents matching to ((-(field1:value1))) and
documents matching to (field2:value2).
But solr deliver only documents, that are the result of (field2:value2).
I receive
//blog.thetaphi.de/2012/07/use-lucenes-mmapdirectory-on-64bit.html
Best,
Erick
On Wed, Jan 29, 2014 at 7:49 AM, Johannes Siegert
wrote:
Hi,
we are using Apache Solr Cloud within a production environment. If the
maximum heap-space is reached the Solr access time slows down, because of
the working
heap-space-useage is between 50 and 90
percent. No OutOfMemoryException occurs.
Questions:
1. Why does Solr use 5 GB ram, with this small amount of data?
2. Which impact does the large filter-queries have in relation to ram usage?
Thanks!
Johannes Siegert
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