Reputation: 725
I have added the mappings for not analyzed option in elasticsearch, it is not working when i sort the results, here is my mapping shows when i use http://localhost:9200/_river/jdbc/_search
"mappings": {
"jdbc": {
"dynamic_templates": [
{ "notanalyzed": {
"match": "*",
"match_mapping_type": "string",
"mapping": {
"type": "string",
"index": "not_analyzed"
}
}
}
]
}
}
But when i sort the reults it will take the results wrongly like
http://localhost:9200/jdbc/_search?pretty=true&sort=field:asc
{
field: "McDermott Will Amery",
},
sort: [
"amery"
]
}
But i need order the results from A-Z from the starting word in the field
UPDATE: River specification in meta
http://localhost:9200/_river/jdbc/_meta
{
"_index": "_river",
"_type": "jdbc",
"_id": "_meta",
"_version": 1,
"found": true,
"_source": {
"type": "jdbc",
"jdbc": {
"driver": "com.mysql.jdbc.Driver",
"url": "jdbc:mysql://localhost:3306/dbname",
"user": "user",
"password": "pass",
"sql": "SQL QUERY",
"poll": "24h",
"strategy": "simple",
"scale": 0,
"autocommit": true,
"bulk_size": 5000,
"max_bulk_requests": 30,
"bulk_flush_interval": "5s",
"fetchsize": 100,
"max_rows": 149669,
"max_retries": 3,
"max_retries_wait": "10s",
"locale": "in",
"digesting": true
},
"mappings": {
"jdbc": {
"dynamic_templates": [
{
"notanalyzed": {
"match": "*",
"match_mapping_type": "string",
"mapping": {
"type": "string",
"index": "not_analyzed"
}
}
}
]
}
}
}
}
Upvotes: 1
Views: 482
Reputation: 217544
I think your configuration is not correct for what you want to do. Let's start over. First, let's delete your _river
index and we'll create it from scratch again:
curl -XDELETE localhost:9200/_river
Now let's create it again but this time by using the correct configuration, i.e.:
jdbc.type_mapping
fieldindex
and type
where your data is going to be storedHere is how it would look like
curl -XPUT 'localhost:9200/_river/jdbc/_meta' -d '{
"type" : "jdbc",
"jdbc": {
"driver": "com.mysql.jdbc.Driver",
"url": "jdbc:mysql://localhost:3306/dbname",
"user": "user",
"password": "pass",
"sql": "SQL QUERY", <-- add your SQL query
"poll": "24h",
"strategy": "simple",
"scale": 0,
"autocommit": true,
"bulk_size": 5000,
"max_bulk_requests": 30,
"bulk_flush_interval": "5s",
"fetchsize": 100,
"max_rows": 149669,
"max_retries": 3,
"max_retries_wait": "10s",
"locale": "in",
"digesting": true,
"index": "your_index", <-- add this
"type": "your_type", <-- add this
"type_mapping": { <-- add your mapping here
"your_type": { <-- match this with "type" above
"dynamic_templates": [{
"notanalyzed": {
"match": "*",
"match_mapping_type": "string",
"mapping": {
"type": "string",
"index": "not_analyzed"
}
}
}]
}
}
}
}'
Then when your SQL query runs, it will store data inside the your_index
index and use the your_type
mapping type.
Finally, you can search your data with the following query:
curl -XGET 'http://localhost:9200/your_index/your_type/_search?pretty=true&sort=field:asc'
UPDATE
You may also use the following mapping defining a multi-field. Then you'd be able to sort on the not_analyzed
field and search on the analyzed
one:
"dynamic_templates": [{
"multi": {
"match": "*",
"match_mapping_type": "string",
"mapping": {
"type": "string",
"fields": {
"raw": {
"type": "string",
"index": "not_analyzed"
}
}
}
}
}]
The query on the field named field
would then be
curl -XGET 'http://localhost:9200/your_index/your_type/_search?pretty=true&q=field:Luke&sort=field.raw:asc'
Upvotes: 1