Integrating XXL‑Job for Scheduled Hot‑Search Crawlers in a Java Backend

We have built a complete hot‑search component and now replace the simple @Scheduled annotation with the more flexible XXL‑Job distributed task scheduler.

First, download the XXL‑Job repository (≈27.3k stars) and configure the admin center, including JDBC URL, mail alarm, token, i18n, thread pool and log retention settings.

Initialize the database tables using the provided SQL file in the db directory.

Start the admin console by running XxlJobAdminApplication and log in with the default credentials (admin / 123456).

Create a Spring‑Boot executor by adding the xxl-job-core dependency to pom.xml and defining XxlJobConfig with properties such as adminAddresses , appname , port , etc.

Register a job using the @XxlJob("douyinHotSearchJob") annotation; the job fetches Douyin hot‑search data via OkHttp, builds SbmyHotSearchDO objects, stores them in a cache, and persists them to the database.

Similarly, a Bilibili hot‑search job is implemented with @XxlJob("bilibiliHotSearchJob") , extracting fields such as title, author, cover, and view count.

Finally, a Vue component displays the hot‑search list with ranking, heat formatting, and real‑time update timestamps.