Hi, I have a table (20 million rows) in Postgresql 9.4 that contains a bigint id as the primary key and another column that contains jsonb data. Queries run on this table look like so...
------------ ## Query ------------ select ... from table WHERE table.column ->'item'->> 'name' = 'value' ------------ I'd like to make an effort to get Postgresql to keep all data available in this table and any index on this table in memory. This would ensure that sequence or index scans made on the data are fairly fast. Research into this problem indicates that there is no reliable way to get Postgresql to run off of RAM memory completely ( http://stackoverflow.com/a/24235439/830964). Assuming the table and its indexes amount to 15 gb of data on the disk and the machine contains 64GB of RAM with shared buffers placed at anywhere from 16-24 GB, here are my questions... 1. When postgresql returns data from this query, how can I tell how much of the data was cached in memory? 2. I'm aware that I can tweak the shared buffer so that more data is cached. Is there a way to monitor this value for its effectiveness? 3. Is there a reliable way / calculation (or close to it), to determine a point after which Postgresql will ask the disk for data Vs the caches? Thank you for taking the time to read my question. - Deepak
