我正在尝试导入到MongoDB 70mb的json文件是有效的。但是,我在循环中一次又一次地得到这个错误:
01 11:42:20 exception:BSON representation of supplied JSON is too large: Failure parsing JSON string near: "name": "L
01 11:42:20
01 11:42:20 Assertion: 10340:Failure parsing JSON string near: "link": "h
01 11:42:20 mongoimport.exe ???
01 11:42:20 mongoimport.exe ???
01 11:42:20 mongoimport.exe ???
01 11:42:20 mongoimport.exe ???
01 11:42:20 mongoimport.exe ???
01 11:42:20 mongoimport.exe ???
01 11:42:20 mongoimport.exe ???
01 11:42:20 kernel32.dll BaseThreadInitThunk+0x12
01 11:42:20 ntdll.dll RtlInitializeExceptionChain+0xef
01 11:42:20 exception:BSON representation of supplied JSON is too large: Failure parsing JSON string near: "link": "h
01 11:42:20
01 11:42:20 Assertion: 10340:Failure parsing JSON string near: }
01 11:42:20 mongoimport.exe ???
01 11:42:20 mongoimport.exe ???
01 11:42:20 mongoimport.exe ???
01 11:42:20 mongoimport.exe ???
01 11:42:20 mongoimport.exe ???
01 11:42:20 mongoimport.exe ???
01 11:42:20 mongoimport.exe ???
01 11:42:20 kernel32.dll BaseThreadInitThunk+0x12
01 11:42:20 ntdll.dll RtlInitializeExceptionChain+0xef
01 11:42:20 exception:BSON representation of supplied JSON is too large: Failure parsing JSON string near: }
01 11:42:20
01 11:42:20 Assertion: 10340:Failure parsing JSON string near: ],
01 11:42:20 mongoimport.exe ???
01 11:42:20 mongoimport.exe ???
01 11:42:20 mongoimport.exe ???
01 11:42:20 mongoimport.exe ???
01 11:42:20 mongoimport.exe ???
01 11:42:20 mongoimport.exe ???
01 11:42:20 mongoimport.exe ???
01 11:42:20 kernel32.dll BaseThreadInitThunk+0x12
01 11:42:20 ntdll.dll RtlInitializeExceptionChain+0xef
01 11:42:20 exception:BSON representation of supplied JSON is too large: Failure parsing JSON string near: ],我的JSON (只有一个很小的例子)包含很多像这样的结构:
[
{
"data": [
"id": "xxxxxxxxxxxxxxxxxx",
"from": {
"name": "yyyyyyyyyyy",
"id": "1111111111111"
},
"to": {
"data": [
{
"version": 1,
"name": "1111111111111",
"id": "1111111111111"
}
]
},
"picture": "fffffffffffffffffffffff.jpg",
"link": "http://www.youtube.com/watch?v=qqqqqqqqqqqqq",
"source": "http://www.youtube.com/v/qqqqqqqqqqqqq?version=3&autohide=1&autoplay=1",
"name": "xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx",
"description": "xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx...",
"icon": "http://static.ak.fbcdn.net/rsrc.php/v2/xxx/r/dddd",
"actions": [
{
"name": "Comment",
"link": "http://www.example.com/1111111111111/posts/1111111111111"
},
{
"name": "Like",
"link": "http://www.example.com/1111111111111/posts/1111111111111"
}
],
"privacy": {
"value": ""
},
"type": "video",
"created_time": 1356953890,
"updated_time": 1356953890,
"likes": {
"data": [
{
"name": "jjj ",
"id": "59xxx67"
},
{
"name": "xxxxx",
"id": "79xxx27"
}
],
"count": 2
},
"comments": {
"count": 0
}
},
....
....
....
}
]这是json的一般模式":
[
{
"data": [
{
}
],
"paging": {
"previous": "link",
"next": "link"
}
},
"data": [
{
}
],
"paging": {
"previous": "link",
"next": "link"
}
},
"data": [
{
}
],
"paging": {
"previous": "link",
"next": "link"
}
}
]发布于 2013-02-20 15:04:52
而不是使用:
mongoimport -d DATABASE_NAME -c COLLECTION_NAME --file YOUR_JSON_FILE使用以下命令:
mongoimport -d DATABASE_NAME -c COLLECTION_NAME --file YOUR_JSON_FILE --jsonArray发布于 2013-05-09 00:03:33
在我的例子中,我的文件实际上并不太大,所以错误消息具有误导性。我必须将每个文档放在一行中,或者使用--jsonArray。
因此,可以像这样更改文件:
{ "_id" : "xxxxxxxx", "foo" : "yyy", "bar" : "zzz" }或将导入命令更改为
mongoimport -d [db_name] -c [col_name] --file [file_with_multi_lined_docs] --jsonArray如果我的文件仍然是每个文档多行的格式
{
"_id" : "xxxxxxxx",
"foo" : "yyy",
"bar" : "zzz"
}发布于 2013-01-01 19:48:17
您的json文件是否只包含data字段中的记录列表?在这种情况下,您需要将json文件重新格式化为记录列表,如下所示:
{
"id": "xxxxxxxxxxxxxxxxxx",
"from": {
"name": "yyyyyyyyyyy",
"id": "1111111111111"
},
"to": {
"data": [
{
"version": 1,
"name": "1111111111111",
"id": "1111111111111"
}
]
},
......
}
{
"id": "xxxxxxxxxxxxxxxxxx",
"from": {
"name": "yyyyyyyyyyy",
"id": "1111111111111"
},
"to": {
"data": [
{
"version": 1,
"name": "1111111111111",
"id": "1111111111111"
}
]
},
......
}如果您的json文件格式良好,只需编辑几行前导/结束行就足够了。
编辑:您可能需要--jsonArray选项才能从有效的json文件导入。试一试
mongoimport --db DATABASE_NAME --collection COLLECTION_NAME --file YOUR_JSON_FILE --jsonArrayhttps://stackoverflow.com/questions/14109474
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