i have a query and i want to go through two different documents, is it possible to do it ?
Document A { _id, senders_ID[sender_id]}
Document B { sender_id, firstname}
// i want to loop through document A and get each sender_id and go to document B to get the firstname.
Is it what you are looking for ?
Related
I am needing to do a query in Elasticsearch by field data type. I have not been successful in creating that query. I want to be able to {1) specify the type I want to search for in the query, i.e. all fields of {"type"="boolean"}, and also, (2) get the field and see what the type is for that field.
Reason is to check that the field is designated correctly. Let's say I inserted the following data into this index and fields and I now want to see what the data types of those fields are programmatically. How would I query that?
POST /index_name1/_doc/
{
"field1":"hello_field_2",
"field2":"123456.54321",
"field3.field4": false,
"field3.field5.field10":"POINT(-117.918976 33.812511)",
"field3.field5.field8": "field_of_dragons",
"field3.field5.field9": "2022-05-26T07:47:26.133275Z"
}
I have tried:
GET /index_name1/_search
{
"query":{
"wildcard":{
"field3.field4":{ "type":"*"}
}
}
}
That gives [wildcard] query does not support [type].
I've tried many other queries and searched the documentation and threads, but can't find anything that will do this. It has got to be possible, right?
Is there a way in ES to do a single query that finds documents that are based on values "close" (whose logic I determine) to values in another document?
Example: i have document like this:
{
"myId": 10,
"price": 200
}
Now I want to run a query that finds documents that are within 100 either side of the price of the above document (but I don't know the price of document on the client..all I have is the myId)
In other words, i want to write a client method like this:
GetSimilarDocuments(int myId);
Is that possible to do in a single ES query? Or do I need two round trips? (get the document, then do another query based on the values of the document)
The best way to explain what I want to accomplish is by example.
Let us say that I have an object with fields name and color and transaction_id. I want to search for documents where name and color match the specified value and that I can accomplish easily with boolean queries.
But, I do not want only documents which were found with search query. I also want transaction to which those documents belong, and that is specified with transaction_id. For example, if a document has been found with transaction_idequal to 123, I want my query to return all documents with transaction_idequal to 123.
Of course, I can do that with two queries, first one to fetch all documents that match criteria, and the second one that will return all documents that have one of transaction_idvalues found in first query.
But is there any way to do it in a single query?
You can use parent-child relation ship between transaction and your object. Or nest the denormalize your data to include the objects in the transactions. Otherwise you'll have to do an application side join, meaning 2 queries.
Try an index mapping similar to the following, and include a parent_id in the objects.
{
"mappings": {
"transaction": {},
"object": {
"_parent": {
"type": "transaction"
}
}
}
}
Further reading:
https://www.elastic.co/guide/en/elasticsearch/guide/current/parent-child-mapping.html
We have an index with the following document structure:
{
email: "test#test.com",
stuff ..
},
{
email: "test#test.com,
stuff...
},
{
email: anotherEmail#test.com,
stuf..
}
We need to get all records where the count of distinct email is > 2 for example. I know I can use an aggregation with a mininum doc count to find all counts of all records where there are at least 2 records for an email.
But what we need to do is actually get all the records where the count of distinct email is > X. So we need our query to constrain our results to only those records that match an aggregation.
I know that we can have a nested TopHits aggregation, but that is not good enough for us, because we need to be able to page through these results... there could be records where an email has 10k records for example. We need to be able to get these results in the Hits collection so that we can page them.
How would we go about doing something like that?
I have document A, B, C in the same document type. All 3 has a property is_type = 'Normal', is_type = 'Normal', is_type = 'AbNormal'. I want to get search Response in one single query and then just use Search Response API to get the list of Documents which were having type as normal and abnormal. I know aggregation will not help in getting the document as it's just aggregation. Any help would be appreciated.