The given table is
create table my_table_1(a bigint, b varchar(1000), c timestamp, d bool, e float);
Let’s populate this table in PostgreSQL with one million records of random data.
This query inserts 1,000,000 rows of randomly generated data into the table my_table_1
INSERT INTO my_table_1 (a, b, c, d, e)
SELECT
(random() * 10000)::bigint, -- generates a random integer between 0 and 10,000, which is cast to a bigint
ARRAY_TO_STRING(ARRAY(SELECT chr((65 + (random() * 25))::int) FROM generate_series(1, (1000*random())::int)), ''), -- generates a random string of characters of variable length, where each character is an uppercase letter (A-Z), and concatenates them into a single string without any delimiter.
NOW() - random() * INTERVAL '365 days', -- generates a random date within the past year
random() < 0.5, -- generates a random boolean value (true or false)
random() * 100 -- generates a random floating-point number between 0 and 100
FROM generate_series(1, 1000000);
Check how many records are in the my_table_1 table.
select count(1) from my_table_1;
Output:
1000000
Check the distribution of records in the my_table_1 table by the column d:
select d, count(1) from my_table_1 group by 1;
Output:
false 500605
true 499395
ask_dima@yahoo.com
Top comments (0)