match_all | macro for rust | Reflection library
kandi X-RAY | match_all Summary
kandi X-RAY | match_all Summary
Provides the match_all! macro for rust. This macro provides similar functionality to a vanilla match statement but allows for multiple expression blocks to be executed.
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match_all Key Features
match_all Examples and Code Snippets
Community Discussions
Trending Discussions on match_all
QUESTION
In short I am making a program which scrapes specific citations from a list of URLs. I need the result to also have the MR number from the corresponding URL ending, added to each scraped citation.
...ANSWER
Answered 2021-Jun-10 at 12:13I would create a dictionary rather than a list, then iteraterate through that and attaching that value to the match
. Another wya to do it is slice the url and use the mrn you created in that.
QUESTION
I know that we can use projection in Elastic Search to influence which fields of the document are returned or not - similar to projection in other areas. However, can I also do a projection in such a way that fields - or for my case more importantly array elements - are filtered out if they do not meet a certain condition?
Let's say the documents indexed in ES look like this:
...ANSWER
Answered 2021-Jun-02 at 13:35You can use inner_hits along with the nested query
QUESTION
I am using Elasticsearch 7.12.0 , Logstash 7.12.0, Kibana 7.12.0 on Windows 10 x64. Logstash config file logistics.conf
ANSWER
Answered 2021-Jun-01 at 13:06If I got you right, you are indexing via logstash. Elastic then create the index if missing, indexes the documents, and tries to guess the mapping for your documents based on the very first documents.
TL;DR: You are DELETING your index containing the data by yourself.
With
QUESTION
From an Elasticsearch query I'd like to retrieve all the points within a variable distance. Let say I have 2 shops, one is willing to deliver at maximum 3 km and the other one at maximum 5 km:
...ANSWER
Answered 2021-May-31 at 20:56I think that you need to work with a script to use another field as parameter. After some research I come to this answer:
QUESTION
I went through the following links before pasting the ques
Elasticsearch has_child returning no results
ElasticSearch 7.3 has_parent/has_child don't return any hits
I created a simple mapping with text_doc
as the parent and flag_doc
as the child.
ANSWER
Answered 2021-May-28 at 04:00There must be some issue in the way you have indexed the parent and child documents. Refer to this official documentation, to know more about parent-child relationship
Adding a working example using the same index mapping as given in the question above
Parent document in the text_doc context
QUESTION
I am currently working on a search engine and i've started to implement semantic search. I use open distro version of elastic and my mapping look like this for the moment :
...ANSWER
Answered 2021-May-26 at 09:30After the help of Archit Saxena here is the solution of my problems :
QUESTION
curl -XDELETE "http://localhost:9200/index-consumo_react_mysql/_doc/_query" -d '{"query": {"match_all": {}}}'
error:
{"error":"Content-Type header [application/x-www-form-urlencoded] is not supported","status":406}
...ANSWER
Answered 2021-May-25 at 15:50You're just missing the Content-type header and you also need to change the endpoint to _delete_by_query
:
QUESTION
I am wanting to get all the logs from elasticsearch from a asp.net core web api application using NEST. I created a controller named ESController
to get the logs that are in elasticsearch. However, when I do so, on swagger it only displays the first log and not the entire list of logs. I even wrote to the console to see if I can view those logs there as well but it does not display. I do not have a model class for the logs. Is there something wrong I am doing to retrieve/extract the logs from elasticsearch in the .net application?
Console displays: "Valid NEST response built from a successful (200) low level call on POST: /elastic-search-app-logs%2A/_search?typed_keys=true"
swagger:
Correct me if I am wrong, but in the ElasticSearch CLI running the command below will display the logs from elasticsearch:
...ANSWER
Answered 2021-May-20 at 00:18The _search
API is limited in the number of results it will return, even with a match_all
filter.
The traditional way to get all results from Elasticsearch is scroll search. More recently the recommended approach is to use search_after
instead (see the scroll search link for more info).
Docs for the NEST client cover both search_after and scrolling.
The _search
API is limited to 10,000 results by default. While it's not recommended, you can change the limit with the index.max_result_window
index setting.
[edit: typo fix]
QUESTION
I have a query which gives me the results I want, but I need to filter further so that only records MISSING a specific bucket are shown.
My query is this:
...ANSWER
Answered 2021-May-19 at 22:44{
"size": 0,
"query":
{
"bool":
{
"must": [{"match_all": {}}],
"filter":
[
{
"bool":
{
"should":
[
{"match_phrase": {"user": "bob_user"}},
{"match_phrase": {"user": "tom_user"}}
],"minimum_should_match": 1
}
},
{
"bool":
{
"should":
[
{"match_phrase": {"result_code": "403"}},
{"match_phrase": {"result_code": "200"}}
],"minimum_should_match": 1
}
},
{
"range": {"time": {"gte": "2021-05-12T18:51:22.512Z","lte": "2021-05-13T18:51:22.512Z","format": "strict_date_optional_time"}}}
]
}
},
"aggs":
{
"stats":
{
"terms": {"field": "host.keyword","order": {"total_distinct_ip_count": "desc"},"size": 10000},
"aggs":
{
"total_distinct_ip_count": {"cardinality": {"field": "ip.keyword"}},
"status_codes":
{
"terms": {"field": "result_code.keyword","order": {"distinct_ip_count_by_status_code": "desc"},"size": 2},
"aggs":
{
"distinct_ip_count_by_status_code": {"cardinality": {"field": "ip.keyword"}}
}
},
"only_403":
{
"bucket_selector":
{
"buckets_path":
{"var1": "status_codes['200']>_count"},
"script": "params.var1 == null"
}
}
}
}
}
QUESTION
The search is pointing to an alias. The indexing process create a new index every 5 minutes. Then the alias is updated, pointing to the new index. The index is recreated to avoid sync problems that can occur if we update item by item when a change is made.
However, I need to keep track of the searched terms to produce a dashboard to list the most searched terms in a period. Or even using Kibana to show/extract it.
*The searched terms can be multi words, such as "white", "white summer night", etc. We are looking to rank the term, not the individual words.
I don't have experience with Elasticsearch and the searches that I have tried did not bring relevant solutions.
Thanks for the help!
...ANSWER
Answered 2021-May-18 at 23:36Log the search terms (or entire queries, if necessary), ingest those into Elasticsearch, then analyze them with Kibana. The index alias configuration is not relevant.
You should get the logs either directly from whatever connects to Elasticsearch, or from a proxy between it and Elasticsearch.
You could get Elasticsearch itself to log queries, but that's usually a bad idea in terms of performance.
Since it's the entire term you're after, be sure to use keyword
mapping on the search term.
Once you have search terms ingested, use a terms
aggregation to show the most popular searches.
[edit: make explicit that search terms need to be logged, not full DSL queries]
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