[SOLR-10377] Improve readability of the explain output for JSON format

• Type: Improvement
• Status: Resolved
• Priority: Minor
• Resolution: Done
• Fix Version/s: 8.3
• Assignee: Munendra S N
• Reporter: Varun Thacker
• Created: 27/Mar/17 23:10
• Updated: 20/Jul/19 05:32
• Resolved: 20/Jul/19 05:32

Description

Today when I ask solr for the debug query output In json with indent I get this:

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 "

When I run the same query with "wt=ruby" I get a much nicer output

'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
'}

Also the explain for the JSON output is not sorted by score