Question

标题：针对特定情况有效使用正确的redis数据类型。

我理解redis必须提供的主要5种数据类型（以及它们如何工作），但知道在特定情况下使用哪种数据，无论我读过多少教程，都让我感到困惑！

例如，我是否会使用sadd或hincrby来衡量依赖于会话/用户ID的唯一统计信息。

我的目标是尽可能高效地使用redis，同时仍然提供统计/分析的所有可能总数。

示例：

var device = {
    UDID: 1
};

redis.incr("total_app_visits"); // Is this wasted memory due to being able to total `unique_app_visits` and `returning_visits_total` below ?

// Alternatively we could use hincryby("unique_app_visits", device.UDID, 1);
// Which is more efficient here? Which would work better for getting the most out of?
redis.sadd("unique_app_visits", device.UDID,  function(err, result) {
    if (result === 0) { // If this is not a unique visit, then it means they are a returning customer.
        redis.hincrby("returning_app_visits", device.UDID, 1);
        redis.incr("returning_visits_total"); // Is this also wasted memory due to being able to get the total from `returning_app_visits` by iterating with `hgetall` Or is this a compuational performance cost too great?
    }
});

**编辑** 使用hgetall检索returning_app_visits总计的示例：

redis.hgetall("returning_app_visits", function(err, result) {

    var returning_visits_total = 0;
    for (user in result) {
        returning_visits_total = returning_visits_total + Number(result[user]);
    }

    console.log("returning_visits_total: " + returning_visits_total);
});

相关资源：
What are the underlying data structures used for Redis?
Redis types and their respective pros and cons

针对特定情况有效使用正确的redis数据类型

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