Yes, but the identical index with the identical solrconfig.xml and the identical query and the identical version of Solr on two different machines should preduce identical results.

So it's a legitimate question why it's not. But perhaps queryNorm isn't enough to answer that. Sorry, it's out of my league to try and figure out it out.

But are you absolutely sure you have identical indexes, identical solrconfig.xml, identical queries, and identical versions of Solr and any other installed Java libraries... on both machines? One of these being different seems more likely than a bug in Solr, although that's possible.

On 3/9/2011 4:34 PM, Jayendra Patil wrote:
queryNorm is just a normalizing factor and is the same value across
all the results for a query, to just make the scores comparable.
So even if it varies in different environment, you should not worried about.

http://lucene.apache.org/java/2_4_0/api/org/apache/lucene/search/Similarity.html#formula_queryNorm
-
Defination - queryNorm(q) is just a normalizing factor used to make
scores between queries comparable. This factor does not affect
document ranking (since all ranked documents are multiplied by the
same factor), but rather just attempts to make scores from different
queries (or even different indexes) comparable

Regards,
Jayendra

On Wed, Mar 9, 2011 at 4:22 PM, Allistair Crossley<a...@roxxor.co.uk>  wrote:
Hi,

I am seeing an issue I do not understand and hope that someone can shed some 
light on this. The issue is that for a particular search we are seeing a 
particular result rank in position 3 on one machine and position 8 on the 
production machine. The position 3 is our desired and roughly expected ranking.

I have a local machine with solr and a version deployed on a production server. 
My local machine's solr and the production version are both checked out from 
our project's SVN trunk. They are identical files except for the data files 
(not in SVN) and database connection settings.

The index is populated exclusively via data import handler queries to a 
database.

I have exported the production database as-is to my local development machine 
so that my local machine and production have access to the self same data.

I execute a total full-import on both.

Still, I see a different position for this document that should surely rank in 
the same location, all else being equal.

I ran debugQuery diff to see how the scores were being computed. See appendix 
at foot of this email.

As far as I can tell every single query normalisation block of the debug is 
marginally different, e.g.

-        0.021368012 = queryNorm (local)
+        0.009944122 = queryNorm (production)

Which leads to a final score of -2 versus +1 which is enough to skew the 
results from correct to incorrect (in terms of what we expect to see).

- -2.286596 (local)
+1.0651637 = (production)

I cannot explain this difference. The database is the same. The configuration 
is the same. I have fully imported from scratch on both servers. What am I 
missing?

Thank you for your time

Allistair

----- snip

APPENDIX - debugQuery=on DIFF

--- untitled
+++ (clipboard)
@@ -1,51 +1,49 @@
-<str name="L12411p">
+<str name="L12411">

-2.286596 = (MATCH) sum of:
-  1.6891675 = (MATCH) sum of:
-    1.3198489 = (MATCH) max plus 0.01 times others of:
-      0.023022119 = (MATCH) weight(text:dubai^0.1 in 1551), product of:
-        0.011795795 = queryWeight(text:dubai^0.1), product of:
-          0.1 = boost
+1.0651637 = (MATCH) sum of:
+  0.7871359 = (MATCH) sum of:
+    0.6151879 = (MATCH) max plus 0.01 times others of:
+      0.10713901 = (MATCH) weight(text:dubai in 1551), product of:
+        0.05489459 = queryWeight(text:dubai), product of:
           5.520305 = idf(docFreq=65, maxDocs=6063)
-          0.021368012 = queryNorm
+          0.009944122 = queryNorm
         1.9517226 = (MATCH) fieldWeight(text:dubai in 1551), product of:
           1.4142135 = tf(termFreq(text:dubai)=2)
           5.520305 = idf(docFreq=65, maxDocs=6063)
           0.25 = fieldNorm(field=text, doc=1551)
-      1.3196187 = (MATCH) weight(profile:dubai^2.0 in 1551), product of:
-        0.32609802 = queryWeight(profile:dubai^2.0), product of:
+      0.6141165 = (MATCH) weight(profile:dubai^2.0 in 1551), product of:
+        0.15175761 = queryWeight(profile:dubai^2.0), product of:
           2.0 = boost
           7.6305184 = idf(docFreq=7, maxDocs=6063)
-          0.021368012 = queryNorm
+          0.009944122 = queryNorm
         4.0466933 = (MATCH) fieldWeight(profile:dubai in 1551), product of:
           1.4142135 = tf(termFreq(profile:dubai)=2)
           7.6305184 = idf(docFreq=7, maxDocs=6063)
           0.375 = fieldNorm(field=profile, doc=1551)
-    0.36931866 = (MATCH) max plus 0.01 times others of:
-      0.0018293816 = (MATCH) weight(text:product^0.1 in 1551), product of:
-        0.003954251 = queryWeight(text:product^0.1), product of:
-          0.1 = boost
+    0.17194802 = (MATCH) max plus 0.01 times others of:
+      0.00851347 = (MATCH) weight(text:product in 1551), product of:
+        0.018402064 = queryWeight(text:product), product of:
           1.8505468 = idf(docFreq=2589, maxDocs=6063)
-          0.021368012 = queryNorm
+          0.009944122 = queryNorm
         0.4626367 = (MATCH) fieldWeight(text:product in 1551), product of:
           1.0 = tf(termFreq(text:product)=1)
           1.8505468 = idf(docFreq=2589, maxDocs=6063)
           0.25 = fieldNorm(field=text, doc=1551)
-      0.36930037 = (MATCH) weight(profile:product^2.0 in 1551), product of:
-        0.1725098 = queryWeight(profile:product^2.0), product of:
+      0.17186289 = (MATCH) weight(profile:product^2.0 in 1551), product of:
+        0.08028162 = queryWeight(profile:product^2.0), product of:
           2.0 = boost
           4.036637 = idf(docFreq=290, maxDocs=6063)
-          0.021368012 = queryNorm
+          0.009944122 = queryNorm
         2.14075 = (MATCH) fieldWeight(profile:product in 1551), product of:
           1.4142135 = tf(termFreq(profile:product)=2)
           4.036637 = idf(docFreq=290, maxDocs=6063)
           0.375 = fieldNorm(field=profile, doc=1551)
-  0.59742856 = (MATCH) max plus 0.01 times others of:
-    0.59742856 = weight(profile:"dubai product"~10^0.5 in 1551), product of:
-      0.12465195 = queryWeight(profile:"dubai product"~10^0.5), product of:
+  0.27802786 = (MATCH) max plus 0.01 times others of:
+    0.27802786 = weight(profile:"dubai product"~10^0.5 in 1551), product of:
+      0.05800981 = queryWeight(profile:"dubai product"~10^0.5), product of:
         0.5 = boost
         11.667155 = idf(profile: dubai=7 product=290)
-        0.021368012 = queryNorm
+        0.009944122 = queryNorm
       4.7927732 = fieldWeight(profile:"dubai product" in 1551), product of:
         1.0954452 = tf(phraseFreq=1.2)
         11.667155 = idf(profile: dubai=7 product=290)




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