亿级用户游戏排行榜设计方案

en -> new DefaultTypedTuple<>((String) en.get(“userId”),

(Double) en.get(“score”))).collect(Collectors.toSet());

// 计算排行榜前先将topN桶删除，防止之前进入桶的用户干扰

redisUtil.delAndZaddExec(GameConstant.USER_SCORE_RANKING_TOPN, vals);

return doTopNScoreList(topN);

}

public List<Map<String, Object>> commonScoreList(String bucketValue, Long topN) {

Set<ZSetOperations.TypedTuple> rangeWithScores

= redisUtil.zRevrangeWithScore(bucketValue, 0L, topN - 1);

List<ZSetOperations.TypedTuple> userScoreTuples = new ArrayList<>(rangeWithScores);

return userScoreTuples.stream().map(tuple -> {

String userId = tuple.getValue();

Double score = tuple.getScore();

Map<String,Object> map = new HashMap<>();

map.put(“userId”, userId);

map.put(“score”, score);

return map;

}).collect(Collectors.toList());

}

public List doTopNScoreList(Long topN) {

List userIdList = new ArrayList<>();

Set<ZSetOperations.TypedTuple> rangeWithScores

= redisUtil.zRevrangeWithScore(GameConstant.USER_SCORE_GENERAL_RANKING_TOPN, 0L, topN - 1);

List<ZSetOperations.TypedTuple> userScoreTuples = new ArrayList<>(rangeWithScores);

List collect = userScoreTuples.stream().map(tuple -> {

String userId = tuple.getValue();

Double score = tuple.getScore();

userIdList.add(userId);

return GameRanking.builder()

.userNo(userId)

.leaderboardS