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## Analyzer for SKUs | |
The analyzer below will strip out any of the items defined in the regex. In this case i am removing -#_ and any whitespace. | |
You can adapt the regex as appropriate. In this case the search WILL be case sensitive. | |
As a keyword tokenizer is used, then the text will not be split into "words" . | |
``` | |
PUT my-index-000001 | |
{ |
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POST user_purchases/_search? | |
{ | |
"size": 0, | |
"query": { | |
"bool": { | |
"filter": [ | |
{ "term": { "product_id.raw": "polaroid x1566" }} | |
] |
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PUT user_purchases | |
{ | |
"mappings": { | |
"user_history": { | |
"properties": { | |
"user_id":{ | |
"type": "text", | |
"fields": { | |
"raw": { |
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POST wikipeople/_search?pretty | |
{ | |
"_source": { | |
"excludes": [ "text" ] | |
}, | |
"suggest": { | |
"people-suggest" : { | |
"prefix" : "ada", | |
"completion" : { |
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GET wikipeople/_search | |
{ | |
"_source": { | |
"excludes": [ "text" ] | |
}, | |
"query": { | |
"bool": { | |
"should": [ | |
{ "match": { |
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PUT wikipeople | |
{ | |
"mappings": { | |
"wiki_page": { | |
"properties": { | |
"text": { | |
"type": "text", | |
"fields": { | |
"english": { | |
"type": "text", |
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import pywikibot | |
from pywikibot import pagegenerators | |
from elasticsearch import Elasticsearch | |
import json | |
es = Elasticsearch() | |
data = {} | |
site = pywikibot.Site() | |
cat = pywikibot.Category(site,'Category:Living people') |