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:
Matt Weber mattweber
mattweber
/ MinMaxMissingIntergationTest.java
Last active
November 9, 2019 16:30
Elasticsearch 7.4.2 min/max aggregation with missing value returns invalid results
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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; |
mattweber
/ keybase.md
Created
January 12, 2017 21:40
mattweber
/ synstest.sh
Last active
January 8, 2021 13:20
Multi-word query time synonyms in elasticsearch.
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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"} | |
| }, |
mattweber
/ failed query (has filter)
Created
February 18, 2012 18:29
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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 |