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u8views.com

u8views profile views

Profile views counter

Yaroslav Podorvanov profile views

Development

Start local development session
cp .local.env .env
make env-up
make migrate-all-reset
make postgres-fixtures
make postgres-fixtures-count
# and
# make postgres-fixtures-clear
Run after code changes
make env-up
End development session
make env-down
# or
# make env-down-with-clear
Benchmark (PC) Intel(R) Core(TM) i7-8750H CPU @ 2.20GHz
BENCHTIME=100x make bench
BenchmarkProfileStatsService
BenchmarkProfileStatsService-12    	     100	    627990 ns/op	    5033 B/op	      80 allocs/op
PASS
ok  	github.com/u8views/go-u8views/internal/tests	0.088s

BENCHTIME=1000x make bench
BenchmarkProfileStatsService
BenchmarkProfileStatsService-12    	    1000	    449478 ns/op	    4124 B/op	      72 allocs/op
PASS
ok  	github.com/u8views/go-u8views/internal/tests	0.471s

BENCHTIME=10000x make bench
BenchmarkProfileStatsService
BenchmarkProfileStatsService-12    	   10000	    546875 ns/op	    4885 B/op	      81 allocs/op
PASS
ok  	github.com/u8views/go-u8views/internal/tests	5.492s
Benchmark (vultr.com VPS 1024.00 MB High Frequency) Intel Core Processor (Skylake, IBRS)
BENCHTIME=100x make bench
BenchmarkProfileStatsService
BenchmarkProfileStatsService 	     100	   2275173 ns/op	    1562 B/op	      43 allocs/op
PASS
ok  	github.com/u8views/go-u8views/internal/tests	0.360s

BENCHTIME=1000x make bench
BenchmarkProfileStatsService
BenchmarkProfileStatsService 	    1000	   2121516 ns/op	    1571 B/op	      44 allocs/op
PASS
ok  	github.com/u8views/go-u8views/internal/tests	2.153s

BENCHTIME=10000x make bench
BenchmarkProfileStatsService
BenchmarkProfileStatsService 	   10000	   2153319 ns/op	    1574 B/op	      44 allocs/op
PASS
ok  	github.com/u8views/go-u8views/internal/tests	21.566s

Database schema templates

Database schema

Database schema

SQL

SELECT user_id, SUM(count), COUNT(*)
FROM profile_hourly_views_stats
GROUP BY user_id
ORDER BY SUM(count) DESC
LIMIT 100;
SELECT g.time::TIMESTAMP
FROM (
    SELECT time::TIMESTAMP
    FROM generate_series(
        (DATE_TRUNC('DAY', NOW()) - INTERVAL '1 MONTH')::TIMESTAMP,
        (DATE_TRUNC('DAY', NOW()))::TIMESTAMP,
        '1 DAY'::INTERVAL
    ) AS time
) AS g;

Stats

SELECT DATE_TRUNC('MONTH', time) AS month,
       COUNT(*)                  AS views,
       COUNT(DISTINCT (user_id)) AS users,
       SUM("count")              AS total
FROM profile_hourly_views_stats
GROUP BY 1
ORDER BY 1;
Month Views Users Total
2023-01-01 15 3 78
2023-02-01 438 18 2700
2023-03-01 951 32 10241
2023-04-01 1110 36 3441
2023-05-01 2191 43 9032
2023-06-01 3433 57 16866
2023-07-01 3331 54 14233
2023-08-01 4539 69 18017
2023-09-01 4519 77 17053
2023-10-01 4473 78 15771
2023-11-01 4919 96 17567
2023-12-01 5525 115 19882
2024-01-01 11185 232 40202
2024-02-01 11348 245 39586
2024-03-01 13581 273 48629
2024-04-01 13613 291 47198
2024-05-01 14655 306 50581
2024-06-01 13924 319 57695
2024-07-01 5692 293 25950