Post the EXPLAIN plan. Also CE version of query services is limited 4 cores and query services needs to get all the qualified data from index and do count. It also depends on how much data you count and size of indexer memory allocated, storage type etc.
I used CE edition and now try Couchbase Server Enterprise Edition 6.6.1 build 9213
Data: 220000
Index memory:36864
Analytics 31751
Search 4096
Explain is
@Lenty_Me , one option you can try is to give more memory for the indexer to increase the resident percent. With 17% resident, if any page needs to be fetched from the disk, that will increase the execution time.
You can experiment by running just a single scan with same input params repeatedly. If the execution time improves(and the single scan needs to access <17% of the data), that would indicate that the subsequent scans are having better cache hits.
Also, you can try using partitioned index. This can help spread out the index on multiple nodes and utilize the multiple cores, disk IO on the box and reduce the execution time significantly.
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