My index looks like this:
GET pibtest1/_search
{
"took": 5,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 11,
"max_score": 1,
"hits": [
{
"_index": "pibtest1",
"_type": "SearchTech",
"_id": "_update",
"_score": 1,
"_source": {
"script": "ctx._source.remove(\"wiki_collection\")"
}
},
{
"_index": "pibtest1",
"_type": "SearchTech",
"_id": "http://www.searchtechnologies.com/bundles/jquery?v=gOdOgfykTFJnypePAvGweyMPwl-krhx8ntIhefPKelg1",
"_score": 1,
"_source": {
"extension": {
"X-Parsed-By": "org.apache.tika.parser.DefaultParser",
"Content-Encoding": "ISO-8859-1",
"resourceName": "http://www.searchtechnologies.com/bundles/jquery?v=gOdOgfykTFJnypePAvGweyMPwl-krhx8ntIhefPKelg1"
},
"keywords": "keywords-NOT-PROVIDED",
"default_collection": true,
"wiki_collection": false,
"description": "description-NOT-PROVIDED",
"connectorSpecific": {
"discoveredBy": "http://www.searchtechnologies.com/",
"xslt": "false",
"pathFromSeed": "E",
"md5": "OKTGVLEWTE5V4PWXUBM2RK3KMQ"
},
"title": "Title-NOT-PROVIDED",
"url": "http://www.searchtechnologies.com/bundles/jquery?v=gOdOgfykTFJnypePAvGweyMPwl-krhx8ntIhefPKelg1",
"remove": "wiki_collection",
"UD": "http://www.searchtechnologies.com/bundles/jquery?v=gOdOgfykTFJnypePAvGweyMPwl-krhx8ntIhefPKelg1",
Now I want to use a wildcard query to search for few url which includes some pattern(for eg. http://www.searchtechnologies.com/bundles)
This is my wildcard query:
GET pibtest1/_search
{
"query": {
"wildcard": {
"url": {
"value": "http://www.searchtechnologies.com/bundles*"
}
}
}
}
I am using "*" wildcard which matches any character sequence. But I am not getting any results. My output looks like this:
{
"took": 11,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 0,
"max_score": null,
"hits": []
}
}
I want my results to include those url which matches this "http://www.searchtechnologies.com/bundles" pattern. Any help would be appreciated.
Based on comments your url field is an analyzed field. So when you insert data the data will be tokenized as ["www.searchtechnologies.com", "v", "jquery", "gOdOgfykTFJnypePAvGweyMPwl", ...]. So your query wont match this field.
You should delete your index.
Insert a mapping and specify url field as not analyzed {"index":"not_analyzed"}
Insert your data.
Run wildcard query.
If you dont want to delete your index because a downtime check: https://www.elastic.co/blog/changing-mapping-with-zero-downtime
Related
In ElasticSearch, I have a mapping for an email field and title field as given below:
{
"person": {
"mappings": {
"_doc": {
"email": {
"type": "keyword",
"boost": 80
},
"title": {
"type": "text",
"boost": 70
}
}
}
}
Each person can have more than one email address and title. So, I'm storing the values in arrays.
I use query_string to search for persons with an email address and/or title. Email address needs to match exactly.
I have indexed a document with the following data. Calling GET person/_search in Kibana will yield the following document in the result.
{
"took": 0,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"skipped": 0,
"failed": 0
},
"hits": {
"total": 1,
"max_score": 1,
"hits": [
{
"_index": "person",
"_type": "_doc",
"_id": "101",
"_score": 1,
"_source": {
"title": """["Actor", "Hero", "Model"]""",
"email": """["jdepp#hotmail.com", "johnny#hollywood.com", "jdepp#gmail.com", "johnny.depp#yahoo.com"]""",
"SEARCH_ENTITY": "PERSON"
}
}
]
}
}
Now when I add some email search parameter I don't get the document back in the result. Remember email is of type keyword.
Request:
GET person/_search
{
"query" : {
"query_string" : {
"query" : "SEARCH_ENTITY:PERSON AND (email: (johnny.depp#yahoo.com))"
}
}
}
Response:
{
"took": 1,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"skipped": 0,
"failed": 0
},
"hits": {
"total": 0,
"max_score": null,
"hits": []
}
}
But the same kind of query works for title field which is of type text.
Request:
GET person/_search
{
"query" : {
"query_string" : {
"query" : "SEARCH_ENTITY:PERSON AND (title: ((actor)))"
}
}
}
Response:
{
"took": 3,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"skipped": 0,
"failed": 0
},
"hits": {
"total": 1,
"max_score": 20.137747,
"hits": [
{
"_index": "person",
"_type": "_doc",
"_id": "101",
"_score": 20.137747,
"_source": {
"ID": "101",
"title": """["Actor", "Hero", "Model"]""",
"email": """["jdepp#hotmail.com", "johnny#hollywood.com", "jdepp#gmail.com", "johnny.depp#yahoo.com"]"""
}
}
]
}
}
Can someone tell me what I need to do to make this work for email field which is of keyword type?
Note: If I store only one email address without using an array, it works fine.
Thanks.
Make sure you parse the json array strings in title and email like so before you index your docs:
POST person/_doc/101
{
"title": [
"Actor",
"Hero",
"Model"
],
"email": [
"jdepp#hotmail.com",
"johnny#hollywood.com",
"jdepp#gmail.com",
"johnny.depp#yahoo.com"
],
"SEARCH_ENTITY": "PERSON"
}
Nothing needs to be changed about the mapping -- just the field values.
I have several words in my elastic which shows when I search by 'match' keyword.
{
"took": 3,
"timed_out": false,
"_shards": {
"total": 10,
"successful": 10,
"failed": 0
},
"hits": {
"total": 1,
"max_score": 0.30685282,
"hits": [
{
"_index": "my_words_pack",
"_type": "work_g1",
"_id": "AVetfhx1AM1sow6PcrL0",
"_score": 0.30685282,
"_source": {
"keyword": "morteza"
}
}
]
}
}
but when I want to remove them by '_id' it doesn't work find and shows me this error:
es.delete_by_query(index='my_words_pack', doc_type='work_g1' body={"query": {"match": {"_id": "AVetfhx1AM1sow6PcrL0"}}})
Error:
aioes.exception.NotFoundError: TransportError(404, '{"found":false,"_index":"my_words_pack","_type":"work_g1","_id":"_query","_version":1,"_shards":{"total":2,"successful":1,"failed":0}}')
Elasticsearch removed the delete by query ability in version 2.0 and added it as a plugin that you must install if you would like to use this ability.
Since you already have the document IDs, its better if you delete these documents by id rather than by query. I think the way to do it in the Python extension is
es.delete(index="my_words_pack",doc_type="work_g1",id="AVetfhx1AM1sow6PcrL0")
I am currently struggling a bit on how to append a value to an array in elasticsearch.
The Document looks something like this:
{
"took": 11,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 1,
"max_score": 1,
"hits": [
{
"_index": "iethreads",
"_type": "thread",
"_id": "AVRk6WRMU5h_y_zwo4s0",
"_score": 1,
"fields": {
"links": [
"[\"https://somelink123.net/thread-714222&page=1\", \"https://somelink123.net/thread-714222&page=2\", \"https://somelink123.net/thread-714222&page=3\", \"https://somelink123.net/thread-714222&page=4\"]"
]
}
}
]
}
}
then I run the following update query
POST _update
{
"script" : "ctx._source.links+=new_posts",
"params" : {
"new_posts":"blabliblub"
}
}
and I get this:
{
"took": 11,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 1,
"max_score": 1,
"hits": [
{
"_index": "iethreads",
"_type": "thread",
"_id": "AVRk6WRMU5h_y_zwo4s0",
"_score": 1,
"fields": {
"links": [
"[\"https://somelink123.net/thread-714222&page=1\", \"https://somelink123.net/thread-714222&page=2\", \"https://somelink123.net/thread-714222&page=3\", \"https://somelink123.net/thread-714222&page=4\"]blabliblub"
]
}
}
]
}
}
So for me this looks like the array is treated like a string and it just appends the string - this is not what I want.
How would I append the "blabliblub" as a new element to the array ?
It seems your links field actually has one element as string instead of an array. To your update be succesful, your structure must be like that:
"fields": {
"links": [
"https://somelink123.net/thread-714222&page=1",
"https://somelink123.net/thread-714222&page=2",
"https://somelink123.net/thread-714222&page=3",
"https://somelink123.net/thread-714222&page=4"
]
}
stackoverflow won't let me write that much example code so I put it on gist.
So I have this index
with this mapping
here is a sample document I insert into newly created mapping
this is my query
GET products/paramSuggestions/_search
{
"size": 10,
"query": {
"filtered": {
"query": {
"match": {
"paramName": {
"query": "col",
"operator": "and"
}
}
}
}
}
}
this is the unwanted result I get from previous query
{
"took": 2,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 1,
"max_score": 0.33217794,
"hits": [
{
"_index": "products",
"_type": "paramSuggestions",
"_id": "1",
"_score": 0.33217794,
"_source": {
"productName": "iphone 6",
"params": [
{
"paramName": "color",
"value": "white"
},
{
"paramName": "capacity",
"value": "32GB"
}
]
}
}
]
}
}
and finally the wanted result, how I want the query result to look like
{
"took": 2,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 1,
"max_score": 0.33217794,
"hits": [
{
"_index": "products",
"_type": "paramSuggestions",
"_id": "1",
"_score": 0.33217794,
"_source": {
"productName": "iphone 6",
"params": [
{
"paramName": "color",
"value": "white"
},
]
}
}
]
}
}
How should the query look like to achieve the wanted result with filtered array field which matches the query? In other words, all other non-matching array items should not appear in the final result.
The final result is the _source document that you indexed. There is no feature that lets you mask field elements of your document out of the Elasticsearch response.
That said, depending on your goal, you can look into how Highlighters and Suggesters identify result terms matching the query, or possibly, roll-your-own client-side masking using info returned from setting "explain": true in your query.
I am trying to understand what the difference is between:
a "plain" elasticsearch query that is going to match a terms query and return a certain number of hits.
and a filtered query (therefore using a filter) that is going to return the same number of hits.
Here is the terms query:
GET _search
{
"query": {
"terms": {
"childcareTypes": [
"SOLE_CHARGE",
"OUT_OF_SCHOOL",
"BABY_SITTING"
],
"minimum_match": 3
}
}
}
Here is the filtered version:
GET _search
{
"query": {
"filtered": {
"filter": {
"terms": {
"childcareTypes": [
"SOLE_CHARGE",
"OUT_OF_SCHOOL",
"BABY_SITTING"
],
"execution": "and"
}
}
}
}
}
Both return a total hits of 8000 (against my index).
Here is the result from the "plain" terms query:
{
"took": 7,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 8000,
"max_score": 5.134171,
"hits": [
{
"_index": "bignibou",
"_type": "advertisement",
"_id": "AUs2T2lt3L5LNr7nkot2",
"_score": 5.134171,
"_source": {
"childcareWorkerType": "AUXILIAIRE_PARENTALE",
"childcareTypes": [
"SOLE_CHARGE",
"OUT_OF_SCHOOL",
"BABY_SITTING"
],
"address": {
"latitude": 48.8532558,
"longitude": 2.36584
},
"giveBath": "EMPTY"
}
},
...
Here is the result from the "filtered" query:
{
"took": 3,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 8000,
"max_score": 1,
"hits": [
{
"_index": "bignibou",
"_type": "advertisement",
"_id": "AUs2T2lt3L5LNr7nkot2",
"_score": 1,
"_source": {
"childcareWorkerType": "AUXILIAIRE_PARENTALE",
"childcareTypes": [
"SOLE_CHARGE",
"OUT_OF_SCHOOL",
"BABY_SITTING"
],
"address": {
"latitude": 48.8532558,
"longitude": 2.36584
},
"giveBath": "EMPTY"
}
},
....
Then what are the differences between the two?
This is related to the differences between queries and filters (more information here).
In your case, unlike terms query, terms filter :
is cached
doesn't compute the score : all matching documents have the same _score of 1 (look at your results)
Consequently, the biggest difference is that the filtered query will be faster than a 'plain' terms query.