MongoDBのTipsや運用における注意点など、一歩進んだ内容を紹介します。書ききれないので#1です。

9. Collection “product”: Collection “order”:
{ {
"_id" : productId1, "_id" : orderId,
"name" : name1, "user" : userInfo,
"price" : price1, "items" : [
"desc" : description1 productId1,
}, productId2,
{ productId3
"_id" : productId2, ]
… }

10. Collection “product”: Collection “order”:
{ {
"_id" : productId1, "_id" : orderId,
"name" : name1, "user" : userInfo,
"price" : price1, "items" : [
"desc" : description1 productId1,
} productId2,
{ productId3
> db.product.findOne(“_id”:productId1)
"_id" : productId2, ]
> db.product.findOne(“_id”:productId2)
… }
> db.product.findOne(“_id”:productId3)

11. Collection “order”:
{
"_id" : orderId,
"user" : userInfo,
"items" : [
{
"_id" : productId1,
"name" : name1,
"price" : price1
}, {
"_id" : productId1,
"name" : name1,
"price" : price2
},...
] }

12. Collection “order”:
{ order
"_id" : orderId,
"user" : userInfo,
"items" : [ collection name
{ price order
"_id" : productId1,
"name" : name1, > db.order.find({ items :{
"price" : price1 $elemMatch: { name: name1 }
}, { } } )
"_id" : productId1,
"name" : name1, > db.order.find({ items :{
"price" : price2 $elemMatch: { price:{ $gt: 3000 } }
},... } } )
] }

13. Collection “order”: Collection “performance_rating”:
{ {
"_id" : orderId, "_id" : "employeeId",
"user" : userInfo, "name" : "name",
"items" : [ "post" : "section chief",
{ "abilities" : {
"_id" : productId1, "skillA" : 20,
"name" : name1, "skillC" : 12,
"price" : price1 "skillE" : 18,
}, { "skillF" : 24,
"_id" : productId1, "skillG" : 23
"name" : name1, }
"price" : price2 }
},...
] }

14. Collection “order”: Collection “performance_rating”:
{ {
"_id" : orderId, "_id" : "employeeId",
$elemMatch
"user" : userInfo, "name" : "name",
"items" : [ "post" : "section chief",
{ "abilities" : {
"_id" : productId1, "skillA" : 20,
"name" : name1, "skillC" : 12,
"price" : price1 "skillE" : 18,
}, { "skillF" : 24,
"_id" : productId1, "skillG" : 23
"name" : name1, } 1
"price" : price2 }
},... ”abilities.skillA”
] }

18. Collection “blog”:
{ comment
"_id" : blogId,
"user" : userInfo,
"tags" : [tag1, tag2, tag3] 16MB/document
"comment": [{ In-Place
"_id" : commentId1,
"user" : userInfo1,
"contents" : contents1
}, {
"_id" : commentId2,
"user" : userInfo2,
"contents" : contents2
},...
] }

19. Collection “comment”:
Collection “blog”: {
{ "_id" : commentId,
"_id" : blogId, "user" : userInfo,
"user" : userInfo, > "contents" : contents1,
db.comment.insert({
"tags" : [tag1, tag2, tag3] “_id”:commentId5,
"lastUpdate" : datetime,
"comment" : [ “user”:...
...
commentId1, })
},...
commentId3, {
commentId5 "_id" : commentId5,
],... "user" : userInfo,
}, "contents" : contents1,
> db.blog.update({“_id”:blogId},
{ "lastUpdate" : datetime,
{$push: { “comment”: commentId5 }}
...
})
}

21. > db.coll.stats()
{ ...
#1
"paddingFactor" : 1.4099999999940787,
...
}

23. Collection “access_history”:
{
"_id" : pageId, “start” 6
"start" : time, visitor
"visits" : {
"minutes" : [
“minites” []
[num0, num1, ..., num59],
( )
[num0, num1, ..., num59],
[num0, num1, ..., num59],
“minites” ”hours”
[num0, num1, ..., num59],
0
[num0, num1, ..., num59],
[num0, num1, ..., num59]
],
"hours" : [num0, ..., num5] }
}

24. Collection “access_history”:
{
"_id" : pageId,
"start" : time,
"visits" : {
"minutes" : [
[0,0, ..., 0],
[0,0, ..., 0],
[0,0, ..., 0],
[0,0, ..., 0],
[0,0, ..., 0],
[0,0, ..., 0]
],
"hours" : [0, ..., 0] }
}

25. Collection “access_history”:
{
"_id" : pageId,
$inc
"start" : time,
"visits" : {
"minutes" : [
[0,0, ..., 0],
[3,0, ..., 0],
> db.pages.update({
[0,0, ..., 0], "_id" : pageId,
[0,0, ..., 0], "start" : thisHour
},{
[0,0, ..., 0], "$inc": {"visits.minutes.1.0": 3}
[0,0, ..., 0] })
],
"hours" : [0, ..., 0] }
}

26. > collection.insert(
{ "_id" : 123,
/* other fields */,
"garbage" : someLongString})
> collection.update(
insert gabage
{ "_id": 123 },
{ $unset: { "garbage" : 1} })

30. # :( )
{
"_id" : BinData(5,"iiOI5R6P+dbut19O1mS1lA=="),
"reduce_id" : 0,
_id = user_id
"user_id" : 00000, + date
"date" : 20110727, + timeMilliSec
+ action_type
"action_type" : "a{Make}",
"key_depth" : 1, _id
"action_detail" : { Binary
"kakejiku" : 2,
# Python
"kaizokunojyuu" : 1, bson.Binary(
"matoryo-sika" : 1, hashlib.md5(
str(unique_id)
"syokudai" : 1 ).digest(),
} bson.binary.MD5_SUBTYPE
)
}

33. {
"_id" : id,
"name" : username,
"email" : email,
"phone" : phone,
"twitter" : username,
”fax”
"facebook" : username,
"linkedin" : username,
"google+" : number,
"street" : street
"city" : city,
"state" : state,
"zip" : zip, > db.profile.find({
"fax" : number “fax”: number
})
}

35. {
"_id" : id,
"name" : username,
“online”: {
"email" : email,
"twitter" : username,
...
},
”address”: { ”telephone”
"street" : street
"city" : city,
...
},
“telephone”: {
"phone" : phone, > db.profile.find({
"fax" : number “telephone.fax”: number
})
}

38. # A B C
> db.coll.find({“A”: a, “B”: b, “C”: c})
# C B A
> db.coll.find({“C”: c, “B”: b, “A”: a})
# A B C
> db.coll.find($or: [“A”: a, “B”: b, “C”: c])
# C B A
> db.coll.find($or: [“C”: c, “B”: b, “A”: a])

39. C
A A A
B B
C C C
A
B B

40. C C C
A
B B
C
A A A
B B

42. > db.coll.ensureIndex({ A: 1 })
> db.coll.ensureIndex({ B: 1 })
> db.coll.ensureIndex({ C: 1 })
# find 2 “Select A,B,C”
> db.coll.find({ A: a, B: b, C: c },
{ _id: -1, A: 1, B: 1, C: 1 })
(_id
) Covered Index

47. journaling
:buildIndexes=false
ReplicaSet 3
AWS
Single Instance

48. Slave Delay
1
journaling

49. Micro Instance
Small Instance
32bit
Large Instance
Arbiter
Small

51. $ ls /dbpath/rollback
dbname.collname.2011-08-14T18-27-14.0.bson
$ bsondump dbname.collname.2011-08-14T18-27-14.0.bson
{ "_id" : ... }
{ "_id" : ... }
{ "_id" : ... }
Wed Aug 15 13:33:32 3 objects found

57. DC1 P
DC1 S P
DC2
Master
DC2

59. > db.collname.insert({_id:...})
#
> db.getLastError()
# or
> db.runCommand("getlasterror")

60. > db.runCommand({ getlasterror: 1, fsync: true })
{ "err" : null, "n" : 0, "fsyncFiles" : 2, "ok" : 1 }
> db.runCommand({ getlasterror: 1, j: true })

61. > db.getLastError(2, 5000) // w=2, timeout 5000ms
> db.getLastError("majority")