elasticsearch-painless

问题 I am attempting to use nested values in a script score, but I am having issues making it work, because I am unable to iterate over the field by accessing it through doc . Also, when I try to query it in Kibana like _type:images AND _exists_:colors , it will not match any documents, even though the field is clearly present in all my docs when I view them individually. I am however able to access it using params._source , but I have read that it can be slow slow and is not really recommended. I

问题 I am trying to make a CURL command to hit an elasticsearch endpoint and what I have to do is essentially read a script from a file (a multi-lined file) and then pass that script into the json payload for a POST request. I don't know ho to pass it in correctly to the payload. I have tried ${script}, "'"${script}"'". Not sure how to proceed next My script: int editScore(def x) { x + 1; } ctx.new_post_score = editScore(ctx.post_score); ctx.new_grade = ctx.new_post_score; My bash script: location

问题 I want to ensure that all documents of a certain doc_type have a "updatedAt" timestamp (ISO 8601) that gets updated whenever the document is updated. It needs to be a server-side timestamp as I don't know if I can trust that all of the clients times are in sync. I use an ingest pipeline to add "createdAt" timestamps, but it seems that pipelines are not supported using the update API. I've tried using update scripts (using the newly available 'ctx._now' value), but cannot get the parsing into

问题 I am trying to figure out how to solve these two problems that I have with my ES 5.6 index. "mappings": { "my_test": { "properties": { "Employee": { "type": "nested", "properties": { "Name": { "type": "keyword", "normalizer": "lowercase_normalizer" }, "Surname": { "type": "keyword", "normalizer": "lowercase_normalizer" } } } } } } I need to create two separate scripted filters: 1 - Filter documents where size of employee array is == 3 2 - Filter documents where the first element of the array

问题 I am trying to figure out how to solve these two problems that I have with my ES 5.6 index. "mappings": { "my_test": { "properties": { "Employee": { "type": "nested", "properties": { "Name": { "type": "keyword", "normalizer": "lowercase_normalizer" }, "Surname": { "type": "keyword", "normalizer": "lowercase_normalizer" } } } } } } I need to create two separate scripted filters: 1 - Filter documents where size of employee array is == 3 2 - Filter documents where the first element of the array

问题 I am trying to figure out how to solve these two problems that I have with my ES 5.6 index. "mappings": { "my_test": { "properties": { "Employee": { "type": "nested", "properties": { "Name": { "type": "keyword", "normalizer": "lowercase_normalizer" }, "Surname": { "type": "keyword", "normalizer": "lowercase_normalizer" } } } } } } I need to create two separate scripted filters: 1 - Filter documents where size of employee array is == 3 2 - Filter documents where the first element of the array

问题 I'm running a local instance of Elasticsearch, and trying to work with 'painless' under scripted_fields. I can write a single line of script code just fine, but when I use triple-quotes (which is supported as per documentation) to create a multi-line script, it gives me this strange parsing error. Running a single-line of script works fine: { "script_fields": { "scripted": { "script": { "lang": "painless", "source": "0" } } } } With this result (expected) in each entity returned in results:

问题 I'm running a local instance of Elasticsearch, and trying to work with 'painless' under scripted_fields. I can write a single line of script code just fine, but when I use triple-quotes (which is supported as per documentation) to create a multi-line script, it gives me this strange parsing error. Running a single-line of script works fine: { "script_fields": { "scripted": { "script": { "lang": "painless", "source": "0" } } } } With this result (expected) in each entity returned in results:

问题 I just started with ES and still leaning the tricks of the trade!!! I need to replace/overwrite one of the fields of a nested object type. Here is the sample doc: { "name":"db_ref", "ref_counter":[ {"ref_name":"test1","count":1}, {"ref_name":"test2","count":2}, {"ref_name":"test3","count":3} ] } Mapping for the above doc : { "settings": { "mappings": { "test_doc": { "properties": { "name": { "type": "string" }, "ref_count": { "type": "nested", "ref_name": "string", "count": "long" } } } } } }

问题 please is possible to append some element to elasticsearch field if types doesn't match? If I have document like this: { "counter" : 1, "tags" : "red" } and i want to append another tag field f.e "blue" like this: { "script" : { "source": "ctx._source.counter += params.newTag", "lang": "painless", "params" : { "newTag" : "blue" } } } and i want to have result similar to: { "counter" : 1, "tags" : ["red", "blue"] } i know this: "source": "ctx._source.counter += params.newTag" is used for