I have a River on my local instance of ES 1.3.4 and JDBC For MySql 1.3.4.4
This river is working fine and importing data in ES. Problem I am facing that one of my field is a text field and has spaces in it. For example 'Real Time Calculator'. ES is indexing it as 'real', 'time' and 'calculator' instead of 'Real Time Calculator'.
So I am creating mapping using below mentioned JSON:
{
"sale_test": {
"properties": {
"Client": {
"index": "not_analyzed",
"type": "string"
},
"OfferRGU": {
"type": "long"
},
"SaleDate": {
"format": "dateOptionalTime",
"type": "date"
},
"State": {
"type": "string"
}
}
}
}
and Command:
curl -XPUT http://localhost:9200/my_index/_mapping/my_type
But I am getting below mentioned error:
> {"error":"MapperParsingException[Root type mapping not empty after
> parsing! Remaining fields: [sale_test :
> {properties={Client={type=string, index=not_analyzed},
> OfferRGU={type=long}, SaleDate={type=date, format=dateOptionalTime},
> State={type=string}}}]]","status":400}
When I try to view current mapping using below mentioned command:
curl -XGET http://localhost:9200/dgses/sale_test_river/_mapping
I get only this: {}
Thanks for your help.
Your type is not consistent, in the API call the type is my_type
curl -XPUT http://localhost:9200/my_index/_mapping/my_type
then it becomes sale_test in the JSON message.
Having a consistent type will fix your problem:
curl -XPUT http://localhost:9200/my_index/_mapping/sale_test -d '
{
"sale_test": {
"properties": {
"Client": {"type": "string", "index": "not_analyzed" },
"OfferRGU": { "type": "long" },
"SaleDate": { "type": "date", "format": "dateOptionalTime" },
"State": { "type": "string" }
}
}
}'
Here you have both a new index and a new type:
curl -XGET http://localhost:9200/dgses/sale_test_river/_mapping
Correcting the index and type gives me:
curl -XGET http://localhost:9200/my_index/sale_test/_mapping?pretty
{
"myindex" : {
"mappings" : {
"sale_test" : {
"properties" : {
"Client" : {
"type" : "string",
"index" : "not_analyzed"
},
"OfferRGU" : {
"type" : "long"
},
"SaleDate" : {
"type" : "date",
"format" : "dateOptionalTime"
},
"State" : {
"type" : "string"
}
}
}
}
}
}
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