exactMatchFirst Solr Suggestion Component

[Audrey Lorberfeld - audrey.lorberf...@ibm.com]

 Hi All,

Would anyone be able to help me debug my suggestion component? Right now, our 
config looks like this: 

<searchComponent name="suggest" class="solr.SuggestComponent">
  <lst name="suggester">
    <str name="name">mySuggester</str>
    <str name="lookupImpl">FuzzyLookupFactory</str>
    <str name="dictionaryImpl">FileDictionaryFactory</str>
    <str name="sourceLocation">./conf/queries_list_with_weights.txt</str>
    <str name="fieldDelimiter">,</str>
    <str name="storeDir">conf</str>
    <str name="suggestAnalyzerFieldType">keywords_w3_en</str>
    <str name="buildOnStartup">false</str>
  </lst>
</searchComponent>

We like the idea of the FuzzyLookupFactory because of how it interacts with 
misspelled prefixes. However, we are finding that the exactMatchFirst 
parameter, which is supposed to be set to true by default in the code, is NOT 
showing exact match prefixes first. I think this is because of the weights we 
have with each term. However, the documentation specifically states that 
exactMatchFirst is meant to ignore weights 
(https://builds.apache.org/view/L/view/Lucene/job/Solr-reference-guide-8.x/javadoc/suggester.html#fuzzylookupfactory).
 

For the prefix "box" this is what our suggestions list looks like. You can see 
that "bond" is above other results I would expect to be above it, such as 
"box@ibm," etc.:

{
  "responseHeader":{
    "status":0,
    "QTime":112},
  "command":"build",
  "suggest":{"mySuggester":{
      "box":{
        "numFound":8,
        "suggestions":[{
            "term":"box",
            "weight":1799,
            "payload":""},
          {
            "term":"bond",
            "weight":805,
            "payload":""},
          {
            "term":"box@ibm",
            "weight":202,
            "payload":""},
          {
            "term":"box at ibm",
            "weight":54,
            "payload":""},
          {
            "term":"books",
            "weight":45,
            "payload":""},
          {
            "term":"box drive",
            "weight":34,
            "payload":""},
          {
            "term":"books 24x7",
            "weight":31,
            "payload":""},
          {
            "term":"box sync",
            "weight":31,
            "payload":""}]}}}}

Any help is greatly appreciated!

Best,
Audrey