Matt Weber mattweber

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:

	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;

	# 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": {

	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

	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).

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

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

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

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