papaya / module-searchindexer
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Last update: 2024-09-25 13:26:45 UTC
README
A module to feed search indexes after publishing pages or other content. Updated for and successfully tested with Elasticsearch 6.1.1.
This readme helps you to set up Elasticsearch.
First steps for creating index and mapping on the elasticsearch end point:
Step 1: create index with settings:
curl -XPUT 'http://host:9200/myindex/' -H 'Content-type: application/json' -d '
{
"settings": {
"index": {
"analysis": {
"filter": {
"stemmer": {
"type": "stemmer",
"language": "german"
},
"autocompleteFilter": {
"max_shingle_size": "6",
"min_shingle_size": "2",
"type": "shingle",
"filler_token": "",
"output_unigrams" : true
},
"stopwords": {
"type": "stop",
"stopwords": [
"aber","als","am","an","auch","auf","aus","bei","bin","bis","bist","da","dadurch","daher","darum","das","daß","dass","dein","deine","dem","den","der","des","dessen","deshalb","die","dies","dieser","dieses","doch","dort","du","durch","ein","eine","einem","einen","einer","eines","er","es","euer","eure","für","hatte","hatten","hattest","hattet","hier","hinter","ich","ihr","ihre","im","in","ist","ja","jede","jedem","jeden","jeder","jedes","jener","jenes","jetzt","kann","kannst","können","könnt","machen","mein","meine","mit","muß","mußt","musst","müssen","müßt","nach","nachdem","nein","nicht","nun","oder","seid","sein","seine","sich","sie","sind","soll","sollen","sollst","sollt","sonst","soweit","sowie","und","unser","unsere","unter","vom","von","vor","wann","warum","was","weiter","weitere","wenn","wer","werde","werden","werdet","weshalb","wie","wieder","wieso","wir","wird","wirst","wo","woher","wohin","zu","zum","zur","über"
]
}
},
"analyzer": {
"didYouMean": {
"filter": [
"lowercase"
],
"char_filter": [
"html_strip"
],
"type": "custom",
"tokenizer": "standard"
},
"autocomplete": {
"filter": [
"lowercase",
"stopwords",
"autocompleteFilter"
],
"char_filter": [
"html_strip"
],
"type": "custom",
"tokenizer": "standard"
},
"default": {
"filter": [
"lowercase",
"stopwords",
"stemmer"
],
"char_filter": [
"html_strip"
],
"type": "custom",
"tokenizer": "standard"
}
}
}
}
}
}
'
Step 2: create mapping on index:
curl -XPUT 'http://host:9200/myindex/_mapping/de/' -H 'Content-type: application/json' -d '
{
"de": {
"properties": {
"autocomplete": {
"type": "text",
"analyzer": "autocomplete",
"fielddata": true
},
"content": {
"type": "text",
"analyzer" : "default",
"copy_to": [
"did_you_mean",
"autocomplete"
]
},
"did_you_mean": {
"type": "text",
"analyzer": "didYouMean",
"fielddata": true
},
"title": {
"type": "text",
"analyzer" : "default",
"copy_to": [
"autocomplete",
"did_you_mean"
]
}
}
}
}
'
Step 3: start the indexer cronjob from package Elasticsearch
Attention!!! please empty the table "papaya_search_indexer_status" before you start the indexer cronjob
if you need to delete index:
curl -XDELETE 'host:9200/myindex'
Manually search request
curl -XPOST 'http://host:9200/myindex/de/_search/' -d '
{
"suggest": {
"didYouMean": {
"text": "*patient*",
"phrase": {
"field": "did_you_mean"
}
}
},
"from":0,
"size":10,
"query": {
"query_string": {
"query": "*patient* OR patient",
"fields": ["title^2","content"]
}
},
"sort" : {
"_score" : {
"order" : "desc"
}
},
"highlight" : {
"fragment_size" : 100,
"number_of_fragments" : 3,
"no_match_size": 100,
"fields" : {
"content" : {
}
}
}
}
'
Manually suggest request
curl -XPOST 'http://host:9200/myindex/de/_search/' -d '
{
"size": 0,
"aggregations": {
"didYouMean": {
"terms": {
"field": "didYouMean",
"order": {
"_count": "desc"
},
"include": {
"pattern": "patient.*"
}
}
},
"autocomplete": {
"terms": {
"field": "autocomplete",
"order": {
"_count": "desc"
},
"include": {
"pattern": "patient.*"
}
}
}
}
}
'