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From "Munendra S N (JIRA)" <j...@apache.org>
Subject [jira] [Comment Edited] (SOLR-10377) Improve readability of the explain output for JSON format
Date Wed, 17 Jul 2019 15:44:00 GMT

    [ https://issues.apache.org/jira/browse/SOLR-10377?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16887184#comment-16887184
] 

Munendra S N edited comment on SOLR-10377 at 7/17/19 3:43 PM:
--------------------------------------------------------------

 [^SOLR-10377.patch] 
This adds {{debug.explain.structured}} parameter in Admin UI.


was (Author: munendrasn):
 [^SOLR-10377.patch] 
This adds {{debug.explain.structured}} parameter in Admin UI.  !Screenshot 2019-07-17 at 6.09.17
PM.png!  !Screenshot 2019-07-17 at 6.09.27 PM.png! 

> Improve readability of the explain output for JSON format
> ---------------------------------------------------------
>
>                 Key: SOLR-10377
>                 URL: https://issues.apache.org/jira/browse/SOLR-10377
>             Project: Solr
>          Issue Type: Improvement
>            Reporter: Varun Thacker
>            Priority: Minor
>         Attachments: SOLR-10377.patch, Screenshot 2019-07-17 at 6.09.17 PM.png, Screenshot
2019-07-17 at 6.09.27 PM.png
>
>
> Today when I ask solr for the debug query output In json with indent I get this:
> {code}
> 1: " 3.545981 = sum of: 3.545981 = weight(name:dns in 0) [SchemaSimilarity], result of:
3.545981 = score(doc=0,freq=1.0 = termFreq=1.0 ), product of: 2.3025851 = idf, computed as
log(1 + (docCount - docFreq + 0.5) / (docFreq + 0.5)) from: 2.0 = docFreq 24.0 = docCount
1.54 = tfNorm, computed as (freq * (k1 + 1)) / (freq + k1 * (1 - b + b * fieldLength / avgFieldLength))
from: 1.0 = termFreq=1.0 1.2 = parameter k1 0.75 = parameter b 7.0 = avgFieldLength 1.0 =
fieldLength ",
> 2: " 7.4202514 = sum of: 7.4202514 = sum of: 2.7921112 = weight(name:domain in 1) [SchemaSimilarity],
result of: 2.7921112 = score(doc=1,freq=1.0 = termFreq=1.0 ), product of: 2.3025851 = idf,
computed as log(1 + (docCount - docFreq + 0.5) / (docFreq + 0.5)) from: 2.0 = docFreq 24.0
= docCount 1.2125984 = tfNorm, computed as (freq * (k1 + 1)) / (freq + k1 * (1 - b + b * fieldLength
/ avgFieldLength)) from: 1.0 = termFreq=1.0 1.2 = parameter k1 0.75 = parameter b 7.0 = avgFieldLength
4.0 = fieldLength 2.7921112 = weight(name:name in 1) [SchemaSimilarity], result of: 2.7921112
= score(doc=1,freq=1.0 = termFreq=1.0 ), product of: 2.3025851 = idf, computed as log(1 +
(docCount - docFreq + 0.5) / (docFreq + 0.5)) from: 2.0 = docFreq 24.0 = docCount 1.2125984
= tfNorm, computed as (freq * (k1 + 1)) / (freq + k1 * (1 - b + b * fieldLength / avgFieldLength))
from: 1.0 = termFreq=1.0 1.2 = parameter k1 0.75 = parameter b 7.0 = avgFieldLength 4.0 =
fieldLength 1.8360289 = weight(name:system in 1) [SchemaSimilarity], result of: 1.8360289
= score(doc=1,freq=1.0 = termFreq=1.0 ), product of: 1.5141277 = idf, computed as log(1 +
(docCount - docFreq + 0.5) / (docFreq + 0.5)) from: 5.0 = docFreq 24.0 = docCount 1.2125984
= tfNorm, computed as (freq * (k1 + 1)) / (freq + k1 * (1 - b + b * fieldLength / avgFieldLength))
from: 1.0 = termFreq=1.0 1.2 = parameter k1 0.75 = parameter b 7.0 = avgFieldLength 4.0 =
fieldLength "
> {code}
> When I run the same query with "wt=ruby" I get a much nicer output
> {code}
> '2'=>'
> 7.4202514 = sum of:
>   7.4202514 = sum of:
>     2.7921112 = weight(name:domain in 1) [SchemaSimilarity], result of:
>       2.7921112 = score(doc=1,freq=1.0 = termFreq=1.0
> ), product of:
>         2.3025851 = idf, computed as log(1 + (docCount - docFreq + 0.5) / (docFreq +
0.5)) from:
>           2.0 = docFreq
>           24.0 = docCount
>         1.2125984 = tfNorm, computed as (freq * (k1 + 1)) / (freq + k1 * (1 - b + b *
fieldLength / avgFieldLength)) from:
>           1.0 = termFreq=1.0
>           1.2 = parameter k1
>           0.75 = parameter b
>           7.0 = avgFieldLength
>           4.0 = fieldLength
>     2.7921112 = weight(name:name in 1) [SchemaSimilarity], result of:
>       2.7921112 = score(doc=1,freq=1.0 = termFreq=1.0
> ), product of:
>         2.3025851 = idf, computed as log(1 + (docCount - docFreq + 0.5) / (docFreq +
0.5)) from:
>           2.0 = docFreq
>           24.0 = docCount
>         1.2125984 = tfNorm, computed as (freq * (k1 + 1)) / (freq + k1 * (1 - b + b *
fieldLength / avgFieldLength)) from:
>           1.0 = termFreq=1.0
>           1.2 = parameter k1
>           0.75 = parameter b
>           7.0 = avgFieldLength
>           4.0 = fieldLength
>     1.8360289 = weight(name:system in 1) [SchemaSimilarity], result of:
>       1.8360289 = score(doc=1,freq=1.0 = termFreq=1.0
> ), product of:
>         1.5141277 = idf, computed as log(1 + (docCount - docFreq + 0.5) / (docFreq +
0.5)) from:
>           5.0 = docFreq
>           24.0 = docCount
>         1.2125984 = tfNorm, computed as (freq * (k1 + 1)) / (freq + k1 * (1 - b + b *
fieldLength / avgFieldLength)) from:
>           1.0 = termFreq=1.0
>           1.2 = parameter k1
>           0.75 = parameter b
>           7.0 = avgFieldLength
>           4.0 = fieldLength
> ',
>       '1'=>'
> 3.545981 = sum of:
>   3.545981 = weight(name:dns in 0) [SchemaSimilarity], result of:
>     3.545981 = score(doc=0,freq=1.0 = termFreq=1.0
> ), product of:
>       2.3025851 = idf, computed as log(1 + (docCount - docFreq + 0.5) / (docFreq + 0.5))
from:
>         2.0 = docFreq
>         24.0 = docCount
>       1.54 = tfNorm, computed as (freq * (k1 + 1)) / (freq + k1 * (1 - b + b * fieldLength
/ avgFieldLength)) from:
>         1.0 = termFreq=1.0
>         1.2 = parameter k1
>         0.75 = parameter b
>         7.0 = avgFieldLength
>         1.0 = fieldLength
> '}
> {code}
> Also the explain for the JSON output is not sorted by score 



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