监控发现, 有一个接口的请求量迅速增大:
每秒qps达到3000；
同时, 服务节点的CPU使用率也迅速增加。
发现问题后, 立即排查数据库以及Redis中间件，发觉影响不是很大，
所以将服务节点扩容一倍，先应对这波请求高峰, 再慢慢排查问题。
private List<WhitelistVO> buildWhitelistVOS(List<TCncWhitelist> cncWhitelists, int requestFrom){
List<WhitelistVO> whitelistVOS = Lists.newArrayList();
for(TCncWhitelist tCncWhitelist:cncWhitelists){
try {
WhitelistVO whitelistVO = new WhitelistVO();
// :::::: 看这里; 恰好卡在分页的最后一条了?
whitelistVO.setUserId(Long.parseLong(tCncWhitelist.getCode()));
whitelistVO.setId(tCncWhitelist.getId());
whitelistVO.setSource(buildSourceName(tCncWhitelist.getSourceFrom()));
// 上次的redis-bug入口在这里
whitelistVO.setSiteCode(buildSiteCode(tCncWhitelist.getSiteId()));
whitelistVO.setSiteId(tCncWhitelist.getSiteId());
whitelistVO.setType(buildTypeName(tCncWhitelist.getWhitelistTypeId()));
whitelistVO.setState(buildStateName(tCncWhitelist.getState()));
whitelistVO.setCreatedAt(tCncWhitelist.getGmtCreated());
whitelistVO.setUpdatedAt(tCncWhitelist.getGmtModified());
whitelistVOS.add(whitelistVO);
} catch (Exception e) {
log.warn("userId String to long error code:{}",tCncWhitelist.getCode(), e);
}
}
return whitelistVOS;
}