我正在尝试在类似于:
的MongoDB集合上创建一个组查询db.orders.group( {
key: { ord_dt: 1, 'item.sku': 1 },
cond: { ord_dt: { $gt: new Date( '01/01/2012' ) } },
reduce: function ( curr, result ) { },
initial: { }
} )
我正在使用rmongodb。从遍历rmongodb软件包文档开始,他们使用mongo.command
来运行count命令:
mongo <- mongo.create()
if (mongo.is.connected(mongo)) {
buf <- mongo.bson.buffer.create()
mongo.bson.buffer.append(buf, "count", "people")
mongo.bson.buffer.append(buf, "query", mongo.bson.empty())
command <- mongo.bson.from.buffer(buf)
result = mongo.command(mongo, "test", command)
if (!is.null(result)) {
iter = mongo.bson.find(result, "n") print(mongo.bson.iterator.value(iter))
}
}
也很明显:
mongo.distinct <- function(mongo, db, collection, key) {
b <- mongo.command(mongo, db, list(distinct=collection, key=key))
if(!is.null(b))
b <- mongo.bson.value(b, "values")
}
names <- mongo.distinct(mongo, "test", "people", "name")
是否有人成功使用mongo.command
进行群组查询?
答案 0 :(得分:0)
这是一个简单的&#34; GROUP BY语句的基本示例&#34;使用聚合框架。请注意,这需要MongoDB 2.1或更高版本:http://docs.mongodb.org/manual/core/aggregation/
首先建立连接和一些虚拟数据:
library(rmongodb)
mongo <- mongo.create()
db <- "stackoverflow"
coll <- "grpmong"
ns <- paste(db, coll, sep = ".")
mongo.insert(mongo, ns, mongo.bson.from.list(list(y=1, x=1)))
mongo.insert(mongo, ns, mongo.bson.from.list(list(y=1, x=2)))
mongo.insert(mongo, ns, mongo.bson.from.list(list(y=2, x=3)))
mongo.insert(mongo, ns, mongo.bson.from.list(list(y=2, x=4)))
检查数据的格式:
>mongo.find.one(mongo, ns, mongo.bson.empty())
_id : 7 51e002b881620de5fe2973ec
y : 1 1.000000
x : 1 1.000000
以下内容将产生相当于:
SELECT y '_id', SUM(x) total
FROM grpmong
GROUP BY y
创建&#34; GROUP BY语句&#34;
x <- list('$group' = list('_id' = '$y',
'total' = list('$sum' = '$x')
))
grpBSON <- mongo.bson.from.list(x)
创建聚合管道并添加&#34; GROUP BY语句&#34;进入它:
buf <- mongo.bson.buffer.create();
mongo.bson.buffer.append(buf, "aggregate", coll);
mongo.bson.buffer.start.array(buf, "pipeline");
mongo.bson.buffer.append(buf, "0", grpBSON);
mongo.bson.buffer.finish.object(buf);
cmd <- mongo.bson.from.buffer(buf);
运行命令:
res <- mongo.command(mongo, db, cmd)
检查结果:
> print(res)
result : 4
0 : 3
_id : 1 2.000000
total : 1 7.000000
1 : 3
_id : 1 1.000000
total : 1 3.000000
ok : 1 1.000000