Performance
The predicate id < 2855265
potentially returns a large percentage of rows in the table. Unless Postgres has information in table statistics to expect only around 500 rows, it might switch from an index scan to a bitmap index scan or even a sequential scan. Explanation:
We would need to see the output from EXPLAIN (ANALYZE, BUFFERS)
for your queries.
When you repeat the query, do you get the same performance? There may be caching effects.
Either way, 3 seconds is way to slow for 500 rows, Postgres might be working with outdated or inexact table statistics. Or there may be issues with your server configuration (not enough resources). Or there can be several other not so common reasons, including hardware issues ...
If VACUUM ANALYZE
did not help, VACUUM FULL ANALYZE
might. It effectively rewrites the whole table and all indexes in pristine condition. Takes an exclusive lock on the table and might conflict with concurrent access!
I would also consider increasing the statistics target for the id
column. Instructions:
Table definition?
Whatever else you do, there seem to be various problems with your table definition:
CREATE TABLE COMPANY(
ID BIGINT PRIMARY KEY NOT NULL, -- int is probably enough. "id" is a terrible column name
NAME TEXT NOT NULL, -- "name" is a teriible column name
AGE INT NOT NULL, -- typically bad idea to store age, store birthday instead
ADDRESS CHAR(50), -- never use char(n)!
SALARY REAL -- why would a company have a salary? never store money as real
);
You probably want something like this instead:
CREATE TABLE emmployee(
emploee_id serial PRIMARY KEY
company_id int NOT NULL -- REFERENCES company(company_id)?
, birthday date NOT NULL
, employee_name text NOT NULL
, address varchar(50) -- or just text
, salary int -- store amount as *Cents*
);
Related: