I believe if you combine the delete by query with a match all it should do what you are looking for, something like this (using your example): curl -XDELETE ‘http://localhost:9200/twitter/tweet/_query’ -d ‘{ “query” : { “match_all” : {} } }’ Or you could just delete the type: curl -XDELETE http://localhost:9200/twitter/tweet Note: XDELETE is deprecated for … Read more
Recently i am working on a problem like this too. I couldn’t find any formal documentation about this issue but when i investigate the results with “explain api”, it seems like “queryNorm” is not applied to the score directly coming from “functions” field. This means that you can not directly normalize script value. However, i … Read more
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As @Val has already answered the question above just posting the code new users who wants to disable the SSL. # ——————————————————————————– # Enable security features xpack.security.enabled: false xpack.security.enrollment.enabled: false # Enable encryption for HTTP API client connections, such as Kibana, Logstash, and Agents xpack.security.http.ssl: enabled: false keystore.path: certs/http.p12 # Enable encryption and mutual authentication … Read more
You almost had it. You just need to add an order property to your a1 terms aggregations, like this: GET myindex/_search { “size”:0, “aggs”: { “a1”: { “terms”: { “field”: “FIELD1”, “size”:0, “order”: {“a2”: “desc”} <— add this }, “aggs”:{ “a2”:{ “sum”:{ “field”:”FIELD2.SUBFIELD” } } } } } }
must means: The clause (query) must appear in matching documents. These clauses must match, like logical AND. should means: At least one of these clauses must match, like logical OR. Basically they are used like logical operators AND and OR. See this. Now in a bool query: must means: Clauses that must match for the … Read more
The client-side approach is actually standard practice. We have discussed adding the offsets, but are afraid it would lead to more confusion. The offsets provided are specific to Java’s UTF-16 String encoding, which, while they could technically be used to calculate the fragments from $LANG, it’s way more straightforward to parse the response text for … Read more
In this case you need to annotate the relationships with @JsonManagedReference and @JsonBackReference like this: @ManyToOne @JoinColumn(name = “company_id”, referencedColumnName = “id”) @JsonBackReference private Company company And @OneToMany(mappedBy=”company”) @JsonManagedReference private Set<Employee> employee = new HashSet<Employee>(); There is a nice example here
Have a look at Terms Aggregation. This is what you are looking for.