ElasticSearch Facets Terms Query float precision - elasticsearch

Question

I have some problems with the facets terms query (with ElasticSearch 1.7.0), all float values are right stored in the database and in the elasticsearch bulk too, but when I request the data I get the values like that "2.99000000954".
The strange thing is that when I put my request with "2.99000000954", the engine found the good Article related with this data, the article with the "2.99" value.
Please have a look on the below codes files and the curl call request:
Mapping (from _plugin/head)
"pvi": {
"include_in_all": false,
"type": "float",
"fields": {
"raw": {
"type": "float"
},
"sort": {
"type": "float"
}
}
}
elastic_bulk_Article_en_XXX.json0
{
"pvi": [
"2.99"
],
}
The curl call
curl -XGET 'http://elasticsearch:9200/entrepriseName_search_index_fr_fr/Article/_search' -d '{"query":{"filtered":{"query":{"match_all":{}},"filter":[]}},"aggs":{"pvi":{"filter":{"query":{"query_string":{"query":"*","fuzzy_prefix_length":1,"fields":["pvi"]}}},"aggs":{"pvi":{"terms":{"field":"pvi","size":25,"order":{"_term":"asc"}}}}}},"size":0}'
The curl call results
{
"aggregations": {
"pvi": {
"doc_count": 1007,
"pvi": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": 1,
"doc_count": 1
},
{
"key": 2.99000000954,
"doc_count": 1
},
{
"key": 3.99000000954,
"doc_count": 6
},
{
"key": 4.98999977112,
"doc_count": 33
},
{
"key": 5.98999977112,
"doc_count": 46
},
{
"key": 6.98999977112,
"doc_count": 11
},
{
"key": 7.98999977112,
"doc_count": 69
},
{
"key": 9.98999977112,
"doc_count": 78
},
{
"key": 12.9899997711,
"doc_count": 107
},
{
"key": 15.9899997711,
"doc_count": 135
},
{
"key": 17.9899997711,
"doc_count": 60
},
{
"key": 19.9899997711,
"doc_count": 158
},
{
"key": 22.9899997711,
"doc_count": 17
},
{
"key": 25.9899997711,
"doc_count": 143
},
{
"key": 27.9899997711,
"doc_count": 2
},
{
"key": 29.9899997711,
"doc_count": 70
},
{
"key": 35.9900016785,
"doc_count": 25
},
{
"key": 39,
"doc_count": 1
},
{
"key": 39.9900016785,
"doc_count": 28
},
{
"key": 49.9900016785,
"doc_count": 12
},
{
"key": 59.9900016785,
"doc_count": 3
},
{
"key": 69.9899978638,
"doc_count": 1
}
]
}
}
},
"query": null,
"checked": "{}"
}

Answer 1

I've found the solution, I changed the datatype from float to long and everything works!