statistics/mysql.R

library(RMySQL)

conn <- dbConnect(
    MySQL(),
    user = dbuser,
    password = dbpass,
    dbname = dbname,
    host = dbhost,
    port = dbport
)

query_frames <- "
SELECT
    f.coins, CAST((f.elapsed_time / 1000) AS INT)
FROM game g
LEFT JOIN frame f ON (f.game_id = g.id)
WHERE (
    f.id = (
        SELECT id FROM frame WHERE game_id = g.id ORDER BY elapsed_time DESC LIMIT 1
    )
)
GROUP BY g.id;
"

query_get_players <- "
SELECT id, name FROM player;
"

query_game_coin_vs_time <- "
SELECT DISTINCT name, f.coins, CAST((f.elapsed_time / 1000) AS INT) as time
FROM frame f
LEFT JOIN game g ON (f.game_id = g.id)
LEFT JOIN player p ON (g.player_id = p.id)
WHERE (
    f.game_id = (
        SELECT id FROM game WHERE (won = 1) ORDER BY timestamp DESC LIMIT 1
    )
)
ORDER BY f.elapsed_time ASC;
"

query_game_coin_vs_time_start <- "
SELECT DISTINCT(CAST((f.elapsed_time / 1000) AS INT)) AS time, f.coins
FROM frame f
LEFT JOIN game g ON (f.game_id = g.id)
WHERE (
    f.game_id = (
        SELECT id FROM game WHERE (player_id = "

query_game_coin_vs_time_end <- "
        ) ORDER BY timestamp DESC LIMIT 1
    )
)
GROUP BY CAST((f.elapsed_time / 1000) AS INT)
ORDER BY f.elapsed_time ASC;
"