如何加快es匹配查询性能

Question

There is a company index with many records

health status index               uuid                   pri rep docs.count docs.deleted store.size pri.store.size
green  open   company             KTngnM6ASD-_KdU0FFAWRA   1   0   95185696     31780899     26.5gb         26.5gb

when execute match query

{
  "query": {
    "match": {
      "name": {
        "query": "some Chinese com name",
        "operator": "and"
      }
    }
  }
}

if use and operator sometimes cannot find any result (because not all word hit), but use or it takes more time

eg search some words and took 3446 but or took 23650

If use or how to speed up response performance?

Answer 1

This sounds like your system is seriously undersized for your index. Consider upgrading your machine , especially memory and use SSDs. Such simple queries should not take over 400-500ms. Sounds like your waiting for IO. If you have enough memory to fit the index, you can run some warm up queries to load it into memory and do fast searches on it. You can also add more nodes to your cluster and increase the shard and replica count to split the load on these nodes.

If you are not in a position to upgrade the system, you can try to add some filters to your query to limit the number of documents that are matched. This should also speed up your query time.