目前，$slice操作符在聚合管道的$project操作中不可用.所以你可以做的是，

Currently, the $slice operator is unavailable in the the $project operation, of the aggregation pipeline. So what you could do is,

首先$unwind，my_field数组，然后将它们组合在一起，取组的$first元素.

First $unwind, the my_field array, and then group them together and take the $first element of the group.

db.my_collection.aggregate([
{$unwind:"$my_field"},
{$group:{"_id":"$_id","resp":{$first:"$my_field"}}},
{$project:{"_id":0,"resp":1}}
])

或者使用 find() 命令，您可以在其中使用 projection 部分中的 $slice 运算符.

Or using the find() command, where you could make use of the $slice operator in the projection part.

db.my_collection.find({},{"my_field":{$slice:1}})

更新:根据您的评论，假设您只想要数组中的 second 项，用于具有 id id 的记录.

Update: based on your comments, Say you want only the second item in an array, for the record with an id, id.

var field = 2;
var id = ObjectId("...");

然后，下面的聚合命令为您提供记录的 my_field 数组中的第二项，其中包含 _id、id.>

Then, the below aggregation command gives you the 2nd item in the my_field array of the record with the _id, id.

db.my_collection.aggregate([
{$match:{"_id":id}},
{$unwind:"$my_field"},
{$skip:field-1},
{$limit:1}
])

以上逻辑不能应用于更多的记录，因为它会涉及$group，$unwind之后的操作符.$group 运算符为该特定组中的所有记录生成单个记录，使 $limit 或 $skip 运算符应用于后期阶段无效.

The above logic cannot be applied for more a record, since it would involve a $group, operator after $unwind. The $group operator produces a single record for all the records in that particular group making the $limit or $skip operators applied in the later stages to be ineffective.

对上面的 find() 查询稍作改动，也会产生预期的结果.

A small variation on the find() query above would yield you the expected result as well.

db.my_collection.find({},{"my_field":{$slice:[field-1,1]}})

除此之外，总有一种方法可以在客户端执行，但如果记录数量非常大，则成本会有点高:

Apart from these, there is always a way to do it in the client side, though a bit costly if the number of records is very large:

var field = 2; 
db.my_collection.find().map(function(doc){
return doc.my_field[field-1];
})

从上述选项中进行选择取决于您的数据大小和应用设计.

Choosing from the above options depends upon your data size and app design.