Kevin.

Do you mean the index settings query API? For example, I issued the 
following query against my sgen (schema generation, an experimental index 
for exploring Elasticsearch mapping nooks and crannies):

$ curl -XGET 'http://localhost:9200/sgen/_settings?pretty=true' && echo

And it gives me the following, which makes it easy (at least by looking at 
the JSON and my experience with parsing JSON) to deterministically list all 
of the custom analyzers that are defined:

{
  "sgen" : {
    "settings" : {
      "index" : {
        "uuid" : "ecznJNykSl-DguwyN6SIZg",
        "number_of_replicas" : "0",
        "analysis" : {
          "char_filter" : {
            "finnish_char_mapper" : {
              "type" : "mapping",
              "mappings" : [ "Å=>O", "å=>o", "W=>V", "w=>v" ]
            }
          },
          "analyzer" : {
            "english_standard_analyzer" : {
              "type" : "custom",
              "filter" : [ "standard", "lowercase", "asciifolding" ],
              "tokenizer" : "standard"
            },
            "finnish_stemming_analyzer" : {
              "type" : "custom",
              "char_filter" : [ "finnish_char_mapper" ],
              "filter" : [ "standard", "lowercase", 
"finnish_snowball_filter" ],
              "tokenizer" : "standard"
            },
            "english_stemming_analyzer" : {
              "type" : "custom",
              "filter" : [ "standard", "lowercase", "asciifolding", 
"english_snowball_filter" ],
              "tokenizer" : "standard"
            },
            "english_stemming_stop_analyzer" : {
              "type" : "custom",
              "filter" : [ "standard", "lowercase", "asciifolding", 
"english_stop_filter", "english_snowball_filter" ],
              "tokenizer" : "standard"
            },
            "russian_stemming_analyzer" : {
              "type" : "custom",
              "filter" : [ "standard", "lowercase", 
"russian_snowball_filter" ],
              "tokenizer" : "standard"
            },
            "arabic_stemming_Arabic_analyzer" : {
              "type" : "custom",
              "filter" : [ "standard", "lowercase", 
"Arabic_stemming_filter" ],
              "tokenizer" : "standard"
            }
          },
          "filter" : {
            "finnish_snowball_filter" : {
              "type" : "snowball",
              "language" : "Finnish"
            },
            "english_stop_filter" : {
              "type" : "stop",
              "language" : [ "_english_" ]
            },
            "english_snowball_filter" : {
              "type" : "snowball",
              "language" : "English"
            },
            "russian_snowball_filter" : {
              "type" : "snowball",
              "language" : "Russian"
            },
            "Arabic_stemming_filter" : {
              "type" : "stemmer",
              "name" : "Arabic"
            }
          }
        },
        "number_of_shards" : "1",
        "refresh_interval" : "2s",
        "version" : {
          "created" : "1000099"
        }
      }
    }
  }
}

Since in my case I never use a built-in analyzer, I don't need to query the 
field mappings to find them, nor do I need to depend on ES to dynamically 
detect the "correct" mapping (I turn all that stuff off). So the bottom 
line is: Disabling auto-index creation and auto-type mapping of new fields 
makes the system more robust, and has the wonderful side effect of making 
discovery of the schema easy and deterministic!

But for the available built-in analyzers, the Java side might be possible 
by listing the analyzer classes in the org.elasticsearch.index.analysispackage. 
It would involve a bit of Java reflection to automate this, but 
perhaps it could be done.

Hope this helps!

Brian

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