kimchy

# Have an index created with "no_stopwords" analyzer

curl -XPUT 'http://localhost:9200/my_twitter1/' -d '
{
    "settings": {
        "number_of_shards": 1,
        "number_of_replicas": 0,
        "analysis" : {
            "analyzer" : {
                "no_stopwords" : {

kimchy

##################### ElasticSearch Configuration Example #####################

# This file contains an overview of various configuration settings.
#
# ElasticSearch comes with reasonable defaults for most settings,
# so you can try it out without bothering with configuration.
#
# Most of the time, these defaults are just fine for running a production
# cluster. If you're fine-tuning your cluster, or wondering about the
# effect of certain configuration option, please _do ask_ on the

kimchy

curl -XPUT 'http://localhost:9200/test/' -d '{
   "settings": {
       "number_of_shards": 1,
       "number_of_replicas": 0,

          "analysis": {
              "analyzer": {
                  "containsText" : {
                     "tokenizer": "whitespace",
                     "filter": ["asciifolding", "lowercase", "autocomplete"]

kimchy

curl -XPUT localhost:9200/test -d '{
    "mappings" : {
        "type1" : {
           "properties" : {
               "name" : {
                   "type" : "multi_field",
                   "fields" : {
                       "name" : {"type" : "string", "index" : "analyzed"},
                       "untouched" : {"type" : "string", "index" : "not_analyzed"}
                   }

kimchy

# Start two nodes (run bin/elasticsearch -f twice) and run:

curl -XPOST localhost:9200/test -d '{
    "settings" : {
        "number_of_shards" : 3
    }
}'

# Run cluster state, under routing_nodes element, you will see the shards allocated on each node
curl localhost:9200/_cluster/state?pretty=1

kimchy

curl -XPUT http://localhost:9200/twitter/foo/1 -d '{"message": "hello world"}'
curl -XPUT http://localhost:9200/twitter/bar/1 -d '{"message": "hello world"}'

# Use bool query with should clause, which ends up aggregating the scores if matching
# several clauses
curl -XGET 'http://localhost:9200/twitter/_search?pretty=1' -d '{
    "query" : {
        "bool" : {
            "should" : [
                { "text" : { "message" : "hello"} },

kimchy

curl -XPUT localhost:9200/test/type1/1 -d '{
    "field1" : 10,
    "field2" : 20
}'

curl -XPUT localhost:9200/test/type1/2 -d '{
    "field1" : 7,
    "field2" : 3
}'

kimchy

cloud:
  aws:
    access_key: XXX
    secret_key: XXX
    region: us-east-1

network:
  host: _ec2:privateIpv4_

discovery:

kimchy

curl -XGET 'http://localhost:9200/disqus/thread/_search' -d $'{
    "fields": [],
    "query": {
        "custom_score": {
            "query": {
                "filtered" : {
                    "query" : {
                        "more_like_this": {
                            "fields": ["content"],
                            "like_text": "Eptaff"

kimchy

curl -XPUT 'http://localhost:9200/_percolator/sp6/mehtryx' -d '{"request":{"id":139051389555982340,"from":"PythiaTest","sent":"Tue, 22 Nov 2011 18:43:29 +0000","message":"@AskPythia Toronto Maple Leafs"},"query":{"bool":{"must":[{"query_string":{"query":"Toronto Maple Leafs","default_operator":"AND"}},{"term":{"type":"STRY"}}]}}}'