根映射定义不支持参数索引: not_analysis

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最佳答案

You're almost here, you're just missing a few things:

PUT /test
{
"mappings": {
"type_name": {                <--- add the type name
"properties": {             <--- enclose all field definitions in "properties"
"field1": {
"type": "integer"
},
"field2": {
"type": "integer"
},
"field3": {
"type": "string",
"index": "not_analyzed"
},
"field4,": {
"type": "string",
"analyzer": "autocomplete",
"search_analyzer": "standard"
}
}
}
},
"settings": {
...
}
}

UPDATE

If your index already exists, you can also modify your mappings like this:

PUT test/_mapping/type_name
{
"properties": {             <--- enclose all field definitions in "properties"
"field1": {
"type": "integer"
},
"field2": {
"type": "integer"
},
"field3": {
"type": "string",
"index": "not_analyzed"
},
"field4,": {
"type": "string",
"analyzer": "autocomplete",
"search_analyzer": "standard"
}
}
}

UPDATE:

As of ES 7, mapping types have been removed. You can read more details here

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I hope the above answer works for elastic search <7.0 but in 7.0 we cannot specify doc type and it is no longer supported. And in that case if we specify doc type we get similar error.

I you are making use of Elastic search 7.0 and Nest C# lastest version(6.6). There are some breaking changes with ES 7.0 which is causing this issue. This is because we cannot specify doc type and in the version 6.6 of NEST they are using doctype. So in order to solve that untill NEST 7.0 is released, we need to download their beta package

Please go through this link for fixing it

https://xyzcoder.github.io/elasticsearch/nest/2019/04/12/es-70-and-nest-mapping-error.html

EDIT: NEST 7.0 is now released. NEST 7.0 works with Elastic 7.0. See the release notes here for details.

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Check your Elastic version.

I had these problem because I was looking at the incorrect version's documentation.

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As of ES 7, mapping types have been removed. You can read more details here

If you are using Ruby On Rails this means that you may need to remove document_type from your model or concern.

As an alternative to mapping types one solution is to use an index per document type.

Before:

module Searchable
extend ActiveSupport::Concern


included do
include Elasticsearch::Model
include Elasticsearch::Model::Callbacks
index_name [Rails.env, Rails.application.class.module_parent_name.underscore].join('_')
document_type self.name.downcase
end
end

After:

module Searchable
extend ActiveSupport::Concern


included do
include Elasticsearch::Model
include Elasticsearch::Model::Callbacks
index_name [Rails.env, Rails.application.class.module_parent_name.underscore, self.name.downcase].join('_')
end
end

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PUT /testIndex
{
"mappings": {
"properties": {     <--ADD THIS
"field1": {
"type": "integer"
},
"field2": {
"type": "integer"
},
"field3": {
"type": "string",
"index": "not_analyzed"
},
"field4": {
"type": "string",
"analyzer": "autocomplete",
"search_analyzer": "standard"
}
}
},
"settings": {
bla
bla
bla
}
}

Here's a similar command I know works:

curl -v -H "Content-Type: application/json" -H "Authorization: Basic cGC3COJ1c2Vy925hZGFJbXBvcnABCnRl" -X PUT -d '{"mappings":{"properties":{"city":{"type": "text"}}}}' https://35.80.2.21/manzanaIndex

The breakdown for the above curl command is:

PUT /manzanaIndex
{
"mappings":{
"properties":{
"city":{
"type": "text"
}
}
}
}

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I am running Elastic Search version 7.12

When I run the following command

curl -H 'Content-Type: application/json' -XPUT 127.0.0.1:9200/movies?pretty -d '
{
"mappings" : {
"movie": {
"properties" : {
"year" : { "type": "date" }
}
}
}
}'

the following error is returned.

{
"error" : {
"root_cause" : [
{
"type" : "mapper_parsing_exception",
"reason" : "Root mapping definition has unsupported parameters:  [movie : {properties={year={type=date}}}]"
}
],
"type" : "mapper_parsing_exception",
"reason" : "Failed to parse mapping [_doc]: Root mapping definition has unsupported parameters:  [movie : {properties={year={type=date}}}]",
"caused_by" : {
"type" : "mapper_parsing_exception",
"reason" : "Root mapping definition has unsupported parameters:  [movie : {properties={year={type=date}}}]"
}
},
"status" : 400
}

To mitigate that, modify the json in the query as follows.

curl -H 'Content-Type: application/json' -XPUT 127.0.0.1:9200/movies?pretty -d '
{
"mappings" : {
"properties" : {
"year" : { "type": "date" }
}
}
}'

Note: Removed the "movie":{} layer. Now it works.

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If you are using elasticsearch_dsl in Python, this error might just mean that you are not using the correct version of the library.

The library version corresponds to the Elasticsearch version.

So if you are using Elasticsearch 7.x, elasticsearch_dsl should be 7.x and so on