Number one: PostgreSQL will never be great as a key-value store if you have many UPDATEs. Workloads with many UPDATEs are just hard for PostgreSQL's architecture. Make sure that you create your table with a fillfactor way below 100, so that you can make use of HOT updates. This is the only way you can survive workloads with many UPDATEs. Make sure that ...


Subash's answer worked for me. Switching from localhost to allowed the connection successfully.


Your benchmarking program creates two hash indexes, one to support the constraint, and another free standing one which seems to serve no purpose. Also, 100 iterations is by no means sufficient to draw any conclusions. While 100 independent samples a healthy sample for univariate statistics, these are certainly not independent of each other as they all use ...

Only top voted, non community-wiki answers of a minimum length are eligible