how to delete doc of datastream in elasticsearch, 엘라스틱서치 데이터스트림 도규먼트 삭제하기

To delete a document in an Elasticsearch data stream, you can use the _delete API. However, data streams work a bit differently from regular indices in Elasticsearch. A document in a data stream is generally stored across multiple backing indices, so you must first find the specific backing index and document ID.

Here are the steps to delete a document from an Elasticsearch data stream:

Steps to delete a document from a data stream:

1. Find the document's index:

   • Search the data stream to find the document and note the _index and _id values.

   Use a query like this:

   GET /<data-stream-name>/_search
   {
     "query": {
       "match": {
         "<field>": "<value>"
       }
     }
   }
   

   Replace <data-stream-name>, <field>, and <value> with appropriate values. From the result, note the _index (which will be a backing index) and the document's _id.

2. Delete the document:

   • Once you have the document’s _index and _id, you can delete it using the following command:

   DELETE /<index-name>/_doc/<document-id>
   

   Replace <index-name> with the specific backing index you got from the previous search result, and replace <document-id> with the document's ID.

Example:

1. Search for the document:

   GET /logs-metrics/_search
   {
     "query": {
       "match": {
         "user": "john_doe"
       }
     }
   }
   

   The response might return something like:

   {
     "hits": {
       "hits": [
         {
           "_index": ".ds-logs-metrics-2023.06.01-000001",
           "_id": "A1B2C3D4E5F6",
           "_source": {
             "user": "john_doe",
             "action": "login"
           }
         }
       ]
     }
   }
   

2. Delete the document: With _index as .ds-logs-metrics-2023.06.01-000001 and _id as A1B2C3D4E5F6, delete the document like this:

   DELETE /.ds-logs-metrics-2023.06.01-000001/_doc/A1B2C3D4E5F6
   

Important Notes:

• You cannot directly delete a document from a data stream using its alias (i.e., the data stream's name). You must reference the specific backing index.
• Elasticsearch does not automatically delete empty backing indices. You may need to manage these indices manually if required.

Let me know if you need further clarification!