perf(backend): use HyperLogLog instead of Set to improve hashtag chart performance

This commit is contained in:
syuilo 2023-10-08 07:51:10 +09:00
parent 04c8a7077f
commit 7cd9a90f26

View file

@ -174,16 +174,15 @@ export class HashtagService {
const redisPipeline = this.redisClient.pipeline();
// TODO: これらの Set は Bloom Filter を使うようにしても良さそう
// チャート用
redisPipeline.sadd(`hashtagUsers:${hashtag}:${window}`, userId);
redisPipeline.pfadd(`hashtagUsers:${hashtag}:${window}`, userId);
redisPipeline.expire(`hashtagUsers:${hashtag}:${window}`,
60 * 60 * 24 * 3, // 3日間
'NX', // "NX -- Set expiry only when the key has no expiry" = 有効期限がないときだけ設定
);
// ユニークカウント用
// TODO: Bloom Filter を使うようにしても良さそう
redisPipeline.sadd(`hashtagUsers:${hashtag}`, userId);
redisPipeline.expire(`hashtagUsers:${hashtag}`,
60 * 60, // 1時間
@ -202,7 +201,7 @@ export class HashtagService {
for (let i = 0; i < range; i++) {
const window = `${now.getUTCFullYear()}${(now.getUTCMonth() + 1).toString().padStart(2, '0')}${now.getUTCDate().toString().padStart(2, '0')}${now.getUTCHours().toString().padStart(2, '0')}${now.getUTCMinutes().toString().padStart(2, '0')}`;
redisPipeline.scard(`hashtagUsers:${hashtag}:${window}`);
redisPipeline.pfcount(`hashtagUsers:${hashtag}:${window}`);
now.setMinutes(now.getMinutes() - (i * 10), 0, 0);
}
@ -223,7 +222,7 @@ export class HashtagService {
for (let i = 0; i < range; i++) {
const window = `${now.getUTCFullYear()}${(now.getUTCMonth() + 1).toString().padStart(2, '0')}${now.getUTCDate().toString().padStart(2, '0')}${now.getUTCHours().toString().padStart(2, '0')}${now.getUTCMinutes().toString().padStart(2, '0')}`;
for (const hashtag of hashtags) {
redisPipeline.scard(`hashtagUsers:${hashtag}:${window}`);
redisPipeline.pfcount(`hashtagUsers:${hashtag}:${window}`);
}
now.setMinutes(now.getMinutes() - (i * 10), 0, 0);
}