test.xxx的内容:
> use test
switched to db test
> db.xxx.find()
{ "_id" : ObjectId("53e4e4983f6dc95697944b74"), "a" : 1 }
{ "_id" : ObjectId("53e4e49a3f6dc95697944b75"), "a" : 2 }
{ "_id" : ObjectId("53e4e49c3f6dc95697944b76"), "a" : 3 }
R会议:
> library(rmongodb)
> M <- mongo.create("localhost")
> mongo.is.connected(M)
[1] TRUE
>
> qry1 <- list(
+ "a" = 1
+ )
>
> qry2 <- list(
+ "$or" = list(
+ list("a" = 1),
+ list("a" = 3)
+ )
+ )
>
> qry1 <- mongo.bson.from.list(qry1)
> qry2 <- mongo.bson.from.list(qry2)
>
> mongo.count(M, "test.xxx", qry1)
[1] 1
> mongo.count(M, "test.xxx", qry2)
[1] -1
> mongo.get.last.err(M, "test")
connectionId : 16 24
err : 2 $or needs an array
code : 16 2
n : 16 0
ok : 1 1.000000
qry2
的结果应为2.
我如何重新定义qry2
的列表?
我特别想使用mongo.bson.from.list()而不是mongo.bson.from.json()或者从&#34;缓冲区&#34;中构建BSON的替代方法。
请注意,以下三个问题涉及$或但不涉及列表中的BSON创建():
答案 0 :(得分:1)
为了避免必须编写mongo.bson.buffer语句的序列,我编写了一个包(rmongodbHelper),它将JSON或list()转换为BSON对象,然后可以与rmongodb一起使用
首先让我们设置环境:
library(rmongodb)
# install rmongodbHelper package from GitHub
library(devtools)
devtools::install_github("joyofdata/rmongodbHelper")
library(rmongodbHelper)
# the MongoDB instance
ns <- "dbx.collx"
M <- mongo.create()
mongo.is.connected(M)
mongo.remove(M, ns, json_to_bson("{}"))
# inserting a number of dummy objects
# JSON keys currently are expected to be wrapped in double quotes!
objs <- c(
'{"a":"__int(1)"}',
'{"a":"__int(2)"}',
'{"a":"__int(3)"}'
)
for(obj in objs) {
mongo.insert(M, ns, json_to_bson(obj))
}
让我们通过MongoDB shell看看它们是否已成功插入:
> use dbx
switched to db dbx
> db.collx.find().pretty()
{ "_id" : ObjectId("53fa14315aed8483db4ae794"), "a" : 1 }
{ "_id" : ObjectId("53fa14315aed8483db4ae795"), "a" : 2 }
{ "_id" : ObjectId("53fa14315aed8483db4ae796"), "a" : 3 }
现在让我们搜索一个等于1:
# searching for those objects
# JSON keys currently are expected to be wrapped in double quotes!
json_qry <- '{"a":1}'
cur <- mongo.find(M, "dbx.collx", json_to_bson(json_qry))
while(mongo.cursor.next(cur)) {
print(mongo.cursor.value(cur))
}
这就是我们得到的:
_id : 7 53fa14315aed8483db4ae794
a : 16 1
最后让我们搜索等于1或3:
json_qry <-
'{
"$or": [
{"a":1},
{"a":3}
]
}'
cur <- mongo.find(M, "dbx.collx", json_to_bson(json_qry))
while(mongo.cursor.next(cur)) {
print(mongo.cursor.value(cur))
}
结果:
_id : 7 53fa14315aed8483db4ae794
a : 16 1
_id : 7 53fa14315aed8483db4ae796
a : 16 3
"x":3
会导致3被视为双重"x":"__int(3)"
将导致3被转换为整数以下是使用缓冲区的解决方法:
M <- mongo.create("localhost")
mongo.is.connected(M)
buf <- mongo.bson.buffer.create()
# "$or":[ ...
mongo.bson.buffer.start.array(buf, "$or")
# dummy name "0" for object in array
# "0": { ...
mongo.bson.buffer.start.object(buf, "0")
# "a":1
mongo.bson.buffer.append.int(buf, "a", 1)
# ... }
mongo.bson.buffer.finish.object(buf)
mongo.bson.buffer.start.object(buf, "1")
mongo.bson.buffer.append.int(buf, "a", 3)
mongo.bson.buffer.finish.object(buf)
# ...]
mongo.bson.buffer.finish.object(buf)
q <- mongo.bson.from.buffer(buf)
mongo.count(M, "test.xxx", q)