I just installed and testing elastic search it looks great and i need to know some thing i have an configuration file
elasticsearch.json
in config
directory
{
"network" : {
"host" : "127.0.0.1"
},
"index" : {
"number_of_shards": 3,
"number_of_replicas": 1,
"refresh_interval" : "2s",
"analysis" : {
"analyzer" : {
"index_analyzer" : {
"tokenizer" : "nGram",
"filter" : ["lowercase"]
},
"search_analyzer" : {
"tokenizer" : "nGram",
"filter" : ["lowercase"]
}
},
"// you'll need lucene dep for this: filter" : {
"snowball": {
"type" : "snowball",
"language" : "English"
}
}
}
}
}
and i have inserted an doc that contains a word searching
if i search for keyword
search
it says nothing found...
wont it stem before indexing or i missed some thing in config ....
The reason might be that you haven't provided the size parameter in the query. This limits the result count to 10 by default. Out of all the results the top 10 might be from the two index even thought the match is present in third index as well.
You can use the term query to find documents based on a precise value such as a price, a product ID, or a username. Avoid using the term query for text fields. By default, Elasticsearch changes the values of text fields as part of analysis. This can make finding exact matches for text field values difficult.
Term query return documents that contain one or more exact term in a provided field. The terms query is the same as the term query, except you can search for multiple values. Warning: Avoid using the term query for text fields.
How looks your query?
your config does not look good. try:
...
"index_analyzer" : {
"tokenizer" : "nGram",
"filter" : ["lowercase", "snowball"]
},
"search_analyzer" : {
"tokenizer" : "nGram",
"filter" : ["lowercase", "snowball"]
}
},
"filter" : {
"snowball": {
"type" : "snowball",
"language" : "English"
}
}
I've had trouble overriding the "default_search" and "default_index" analyzer as well.
This works though. You can add "index_analyzer" to default all string fields with unspecified analyzers within a type, if need be.
curl -XDELETE localhost:9200/twitter
curl -XPOST localhost:9200/twitter -d '
{"index":
{ "number_of_shards": 1,
"analysis": {
"filter": {
"snowball": {
"type" : "snowball",
"language" : "English"
}
},
"analyzer": { "a2" : {
"type":"custom",
"tokenizer": "standard",
"filter": ["lowercase", "snowball"]
}
}
}
}
}
}'
curl -XPUT localhost:9200/twitter/tweet/_mapping -d '{
"tweet" : {
"date_formats" : ["yyyy-MM-dd", "dd-MM-yyyy"],
"properties" : {
"user": {"type":"string"},
"message" : {"type" : "string", "analyzer":"a2"}
}
}}'
curl -XPUT http://localhost:9200/twitter/tweet/1 -d '{ "user": "kimchy", "post_date": "2009-11-15T13:12:00", "message": "Trying out searching teaching, so far so good?" }'
curl -XGET localhost:9200/twitter/tweet/_search?q=message:search
curl -XGET localhost:9200/twitter/tweet/_search?q=message:try
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