Why search give me strange result?

Elastic Stack Elasticsearch
1

Can you explain me why this search string: netflow.ipv4_src_addr:[192.168.150.0 TO 192.168.255.255]
give me ip addresses from 192.168.2.0, 192.168.23.0 etc.
I expected something like 192.168.150.xx, 192.168.151.xx ... .... ... 192.168.255.255. So, not <150 in 3 octet!
How should I make this query? (From 150 to 255 in 3 octet)

2

What's your field_type?
https://www.elastic.co/guide/en/elasticsearch/reference/current/mapping-types.html

3

netflow.ipv4_dst_addr string
netflow.ipv4_dst_addr.keyword string
netflow.ipv4_src_addr string
netflow.ipv4_src_addr.keyword string

4

Because you have a string datatype, your search string gets separated by dost and searched by parts.

Try using IP datatype:
https://www.elastic.co/guide/en/elasticsearch/reference/current/ip.html

5

ok, should I change the datatype?
I don't clearly understand what I should do. Is "reindex" is my case?
I tried to do this but it doesn't make result.

PUT /netflow-2018.05.18
{
"mappings": {
  "netflow": {
          "dynamic": true,
          "properties": {
            "ipv4_src_addr": {
              "type": "ip"
            },
            "ipv4_dst_addr": {
              "type": "ip"
            },
            "xlate_src_addr_ipv4": {
              "type": "ip"
            },
            "xlate_dst_addr_ipv4": {
              "type": "ip"
            }
          }
        }
}

}

The result is an error.

{
  "error": {
    "root_cause": [
      {
        "type": "resource_already_exists_exception",
        "reason": "index [netflow-2018.05.18/jZOpeOEATcekrz6VSMZHBA] already exists",
        "index_uuid": "jZOpeOEATcekrz6VSMZHBA",
        "index": "netflow-2018.05.18"
      }
    ],
    "type": "resource_already_exists_exception",
    "reason": "index [netflow-2018.05.18/jZOpeOEATcekrz6VSMZHBA] already exists",
    "index_uuid": "jZOpeOEATcekrz6VSMZHBA",
    "index": "netflow-2018.05.18"
  },
  "status": 400
}
6

If your doing a reindex, the output should be a new existing index.

I suggest you first create an index with predefined mapping and then reindex data into it or fill in data from scratch.