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Query optimization on large PostgreSQL tables

I’m encountering performance issues with a PostgreSQL query that retrieves point data from a table containing around 6 million records, which will eventually grow to billions. The query, which returns approximately half a million records, executes in 639 ms according to EXPLAIN ANALYZE. However, it takes around 45 seconds to actually retrieve and display all the rows in pgAdmin.

Query optimization on large PostgreSQL tables

I’m encountering performance issues with a PostgreSQL query that retrieves point data from a table containing around 6 million records, which will eventually grow to billions. The query, which returns approximately half a million records, executes in 639 ms according to EXPLAIN ANALYZE. However, it takes around 45 seconds to actually retrieve and display all the rows in pgAdmin.

Query optimization on large PostgreSQL tables

I’m encountering performance issues with a PostgreSQL query that retrieves point data from a table containing around 6 million records, which will eventually grow to billions. The query, which returns approximately half a million records, executes in 639 ms according to EXPLAIN ANALYZE. However, it takes around 45 seconds to actually retrieve and display all the rows in pgAdmin.