mattweber’s gists (original) (raw)

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package co.webertech.search;

import static org.elasticsearch.cluster.metadata.IndexMetaData.SETTING_NUMBER_OF_REPLICAS;
import static org.elasticsearch.cluster.metadata.IndexMetaData.SETTING_NUMBER_OF_SHARDS;
import static org.elasticsearch.test.hamcrest.ElasticsearchAssertions.assertHitCount;
import static org.elasticsearch.test.hamcrest.ElasticsearchAssertions.assertSearchResponse;
import static org.hamcrest.core.Is.is;

import org.elasticsearch.Version;
import org.elasticsearch.action.admin.cluster.node.info.NodesInfoResponse;

Keybase proof

I hereby claim:

I am mattweber on github.
I am mrweber (https://keybase.io/mrweber) on keybase.
I have a public key whose fingerprint is F5DF 97DB 70D1 6E14 2282 4539 A504 BE51 687C 61EA

To claim this, I am signing this object:

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# delete old index if exists
curl -XDELETE 'http://localhost:9200/syns?pretty'

# create index with synonym analyzer and mapping
curl -XPUT 'http://localhost:9200/syns?pretty' -d '{
"settings" : {
"number_of_replicas": 0,
"number_of_shards": 1,
"index": {
"analysis": {

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Use extractDocs.py to parse and index the StackOverflow posts.xml file into an existing index.

Usage: extractDocs.py [options] file

Options:
-h, --help show this help message and exit
-s SERVER, --server=SERVER
ElasticSearch Server
-i INDEX, --index=INDEX
Index name to use

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This is an example how to perform multi-select faceting in ElasticSearch.

Selecting multiple values from the same facet will result in an OR filter between each of the values:
(facet1.value1 OR facet1.value2)

Faceting on more than one facet will result in an AND filter between each facet:
(facet1.value1 OR facet1.value2) AND (facet2.value1)

I have chosen to update the counts for each facet the selected value DOES NOT belong to since we are performing an AND between each facet. I have included an example that shows how to keep the counts if you don't want to do this (filter0.sh).

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## For comment on
## http://www.romseysoftware.co.uk/2012/02/20/not-within-queries-lucene
##

{
"query":{
"span_not":{
"include": {
"span_term": {"FIELD":"fish"}
},

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curl -XGET 'http://localhost:9200/test/\_search?pretty=true' -d '{
"query":{
"bool":{
"should": [
{
"constant_score":{
"filter" : {
"query":{
"query_string":{
"query":"findme",

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curl -XPUT 'http://localhost:9200/testing' -d '{
"mappings" : {
"testa" : {
"_source" : {
"enabled" : true
},
"properties" : {
"field1" : {"type" : "string", "store" : "yes"},
"field2" : {"type" : "string", "store" : "yes"}
}

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index:
analysis:
analyzer:
string_lowercase:
tokenizer: keyword
filter: lowercase