CamelCase Search with Elasticsearch - elasticsearch

Question

I want to configure Elasticsearch, so that searching for "JaFNam" will create a good score for "JavaFileName".
I'm tried to build an analyzer, that combines a CamelCase pattern analyzer with an edge_ngram tokenizer. I thought this would create terms like these:
J F N Ja Fi Na Jav Fil Nam Java File Name
But the tokenizer seems not to have any effect: I keep getting these terms:
Java File Name
What would the correct Elasticsearch configuration look like?
Example code:
curl -XPUT 'http://127.0.0.1:9010/hello?pretty=1' -d'
{
"settings":{
"analysis":{
"analyzer":{
"camel":{
"type":"pattern",
"pattern":"([^\\p{L}\\d]+)|(?<=\\D)(?=\\d)|(?<=\\d)(?=\\D)|(?<=[\\p{L}&&[^\\p{Lu}]])(?=\\p{Lu})|(?<=\\p{Lu})(?=\\p{Lu}[\\p{L}&&[^\\p{Lu}]])",
"filters": ["edge_ngram"]
}
}
}
}
}
'
curl -XGET 'http://127.0.0.1:9010/hello/_analyze?pretty=1' -d'
{
"analyzer":"camel",
"text":"JavaFileName"
}'
results in:
{
"tokens" : [ {
"token" : "java",
"start_offset" : 0,
"end_offset" : 4,
"type" : "word",
"position" : 0
}, {
"token" : "file",
"start_offset" : 4,
"end_offset" : 8,
"type" : "word",
"position" : 1
}, {
"token" : "name",
"start_offset" : 8,
"end_offset" : 12,
"type" : "word",
"position" : 2
} ]
}

Answer 1

You analyzer definition is not correct. you need a tokenizer and an array of filter, as it is your analyzer doesn't work. Try like this instead:
{
"settings": {
"analysis": {
"analyzer": {
"camel": {
"tokenizer": "my_pattern",
"filter": [
"my_gram"
]
}
},
"filter": {
"my_gram": {
"type": "edge_ngram",
"max_gram": 10
}
},
"tokenizer": {
"my_pattern": {
"type": "pattern",
"pattern": "([^\\p{L}\\d]+)|(?<=\\D)(?=\\d)|(?<=\\d)(?=\\D)|(?<=[\\p{L}&&[^\\p{Lu}]])(?=\\p{Lu})|(?<=\\p{Lu})(?=\\p{Lu}[\\p{L}&&[^\\p{Lu}]])"
}
}
}
}
}