zouqingyun

Mongodb详解与安装

NOSQL的数据存储模型
键值模型：(key-avalue存储)
优点：查找速度快
缺点：数据无结构，通常只被当作字符串或二进制数据
应用场景：内容缓存
实例：Redis,Dynamo

列式模型
数据模型：数据按列存储，将同一列数据存在一起。
优点：查找迅速，可扩展性强,易于实现分布式
缺点：功能相对SQL很有限
应用场景：分布式文件系统或分布式存储
实例：Bigtable(google),Cassandra(facebook),HBase(hadoop),Hypertable

文档模型
数据模型：与键值模型类似，value指向结构化数据
优点：数据格式要求不严格，无需事先定义结构
缺点：查询性能不高，缺乏统一查询语法
应用场景：web应用
实例：MongoDB,CouchDB

图式模型
数据模型：图结构模型
优点：利用图结构相关算法提高性能，并满足特珠场景应用需求
缺点：难以实现分布式，功能有定向性
应用场景：社交网络，推荐系统，关系图谱
实例：Neo4j
ww.nosql.database.org

mongodb
C/S
mongod
mongo-->mongod
mongo>use testdb(不需要分号;结尾)
mongo>db.mycollection.insert()

面向collection的数据库
  数据库：但数据库无须创建
  表：行<-->集合：文档
  集合无须事先定义；

安装与配置

1、创建 /etc/yum.repos.d/mongodb-org-3.0.repo文件

[root@hadoop2 ~]# vim /etc/yum.repos.d/mongodb-org-3.0.repo

[mongodb-org-3.0]
name=MongoDB Repostitory
baseurl=https://repo.mongodb.org/yum/redhat/$releasever/mongodb-org/3.0/x86_64/
gpgcheck=0
enabled=1

#[mongodb-org-2.6] #name=MongoDB 2.6 Repository #baseurl=http://downloads-distro.mongodb.org/repo/redhat/os/x86_64/ #gpgcheck=0 #enabled=1

2、配置

[root@hadoop2 ~]# yum install -y mongodb-org

[root@hadoop2 ~]# mkdir -p /mongod/data

[root@hadoop2 ~]# chown -R mongod.mongod /mongo

[root@hadoop2 ~]# vim /etc/mongod.conf

# mongod.conf

#where to log
logpath=/var/log/mongodb/mongod.log

logappend=true

# fork and run in background
fork=true

#port=27017

dbpath=/mongo/data/ ##改一下数据存放路径

# location of pidfile
pidfilepath=/var/run/mongodb/mongod.pid

[root@hadoop2 mongo]# service mongod start
Starting mongod: [确定]

3、基础操作

[root@hadoop2 mongo]# mongo
MongoDB shell version: 3.0.4
connecting to: test
Welcome to the MongoDB shell.
For interactive help, type "help".
For more comprehensive documentation, see
http://docs.mongodb.org/
Questions? Try the support group
http://groups.google.com/group/mongodb-user
Server has startup warnings:
2015-07-21T14:58:55.518+0800 I CONTROL [initandlisten]
2015-07-21T14:58:55.518+0800 I CONTROL [initandlisten] ** WARNING: /sys/kernel/mm/transparent_hugepage/enabled is 'always'.
2015-07-21T14:58:55.518+0800 I CONTROL [initandlisten] **        We suggest setting it to 'never'
2015-07-21T14:58:55.518+0800 I CONTROL [initandlisten]
2015-07-21T14:58:55.519+0800 I CONTROL [initandlisten] ** WARNING: /sys/kernel/mm/transparent_hugepage/defrag is 'always'.
2015-07-21T14:58:55.519+0800 I CONTROL [initandlisten] **        We suggest setting it to 'never'
2015-07-21T14:58:55.519+0800 I CONTROL [initandlisten]
2015-07-21T14:58:55.519+0800 I CONTROL [initandlisten] ** WARNING: soft rlimits too low. rlimits set to 1024 processes, 64000 files. Number of processes should be at least 32000 : 0.5 times number of files.
2015-07-21T14:58:55.519+0800 I CONTROL [initandlisten]
> help
db.help()                    help on db methods
db.mycoll.help()             help on collection methods
sh.help()                    sharding helpers
rs.help()                    replica set helpers
help admin                   administrative help
help connect                 connecting to a db help
help keys                    key shortcuts
help misc                    misc things to know
help mr                      mapreduce

show dbs                     show database names
show collections             show collections in current database
show users                   show users in current database
show profile                 show most recent system.profile entries with time >= 1ms
show logs                    show the accessible logger names
show log [name]              prints out the last segment of log in memory, 'global' is default
use                 set current database
db.foo.find()                list objects in collection foo
db.foo.find( { a : 1 } )     list objects in foo where a == 1
it                           result of the last line evaluated; use to further iterate
DBQuery.shellBatchSize = x   set default number of items to display on shell
exit                         quit the mongo shell
> show co
CountDownLatch         connect(               copyDbpath(
compare(               connectionURLTheSame( copyFile(
compareOn(             constructor
> show dbs
local 0.078GB
> for(i=1;i<=100;i++) db.testcoll.insert({Name: "User"+i,Age: i,Gender: "M",PreferBook: ["first book","Second book"]})
WriteResult({ "nInserted" : 1 })
> db.testcoll.find()
{ "_id" : ObjectId("55adefd39883f07d0866c3b4"), "Name" : "User1", "Age" : 1, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3b5"), "Name" : "User2", "Age" : 2, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3b6"), "Name" : "User3", "Age" : 3, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3b7"), "Name" : "User4", "Age" : 4, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3b8"), "Name" : "User5", "Age" : 5, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3b9"), "Name" : "User6", "Age" : 6, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3ba"), "Name" : "User7", "Age" : 7, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3bb"), "Name" : "User8", "Age" : 8, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3bc"), "Name" : "User9", "Age" : 9, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3bd"), "Name" : "User10", "Age" : 10, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3be"), "Name" : "User11", "Age" : 11, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3bf"), "Name" : "User12", "Age" : 12, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3c0"), "Name" : "User13", "Age" : 13, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3c1"), "Name" : "User14", "Age" : 14, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3c2"), "Name" : "User15", "Age" : 15, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3c3"), "Name" : "User16", "Age" : 16, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3c4"), "Name" : "User17", "Age" : 17, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3c5"), "Name" : "User18", "Age" : 18, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3c6"), "Name" : "User19", "Age" : 19, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3c7"), "Name" : "User20", "Age" : 20, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
Type "it" for more
> it
{ "_id" : ObjectId("55adefd49883f07d0866c3c8"), "Name" : "User21", "Age" : 21, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3c9"), "Name" : "User22", "Age" : 22, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3ca"), "Name" : "User23", "Age" : 23, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3cb"), "Name" : "User24", "Age" : 24, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3cc"), "Name" : "User25", "Age" : 25, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3cd"), "Name" : "User26", "Age" : 26, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3ce"), "Name" : "User27", "Age" : 27, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3cf"), "Name" : "User28", "Age" : 28, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3d0"), "Name" : "User29", "Age" : 29, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3d1"), "Name" : "User30", "Age" : 30, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3d2"), "Name" : "User31", "Age" : 31, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3d3"), "Name" : "User32", "Age" : 32, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3d4"), "Name" : "User33", "Age" : 33, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3d5"), "Name" : "User34", "Age" : 34, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3d6"), "Name" : "User35", "Age" : 35, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3d7"), "Name" : "User36", "Age" : 36, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3d8"), "Name" : "User37", "Age" : 37, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3d9"), "Name" : "User38", "Age" : 38, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3da"), "Name" : "User39", "Age" : 39, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3db"), "Name" : "User40", "Age" : 40, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
Type "it" for more
> it
{ "_id" : ObjectId("55adefd49883f07d0866c3dc"), "Name" : "User41", "Age" : 41, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3dd"), "Name" : "User42", "Age" : 42, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3de"), "Name" : "User43", "Age" : 43, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3df"), "Name" : "User44", "Age" : 44, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3e0"), "Name" : "User45", "Age" : 45, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3e1"), "Name" : "User46", "Age" : 46, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3e2"), "Name" : "User47", "Age" : 47, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3e3"), "Name" : "User48", "Age" : 48, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3e4"), "Name" : "User49", "Age" : 49, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3e5"), "Name" : "User50", "Age" : 50, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3e6"), "Name" : "User51", "Age" : 51, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3e7"), "Name" : "User52", "Age" : 52, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3e8"), "Name" : "User53", "Age" : 53, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3e9"), "Name" : "User54", "Age" : 54, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3ea"), "Name" : "User55", "Age" : 55, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3eb"), "Name" : "User56", "Age" : 56, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3ec"), "Name" : "User57", "Age" : 57, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3ed"), "Name" : "User58", "Age" : 58, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3ee"), "Name" : "User59", "Age" : 59, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3ef"), "Name" : "User60", "Age" : 60, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
Type "it" for more
> db.testcoll.find().limit(2)
{ "_id" : ObjectId("55adefd39883f07d0866c3b4"), "Name" : "User1", "Age" : 1, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3b5"), "Name" : "User2", "Age" : 2, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
> db.testcoll.remove({Age:10})
WriteResult({ "nRemoved" : 1 })
> db.testcoll.find().limit(15)
{ "_id" : ObjectId("55adefd39883f07d0866c3b4"), "Name" : "User1", "Age" : 1, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3b5"), "Name" : "User2", "Age" : 2, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3b6"), "Name" : "User3", "Age" : 3, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3b7"), "Name" : "User4", "Age" : 4, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3b8"), "Name" : "User5", "Age" : 5, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3b9"), "Name" : "User6", "Age" : 6, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3ba"), "Name" : "User7", "Age" : 7, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3bb"), "Name" : "User8", "Age" : 8, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3bc"), "Name" : "User9", "Age" : 9, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3be"), "Name" : "User11", "Age" : 11, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3bf"), "Name" : "User12", "Age" : 12, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3c0"), "Name" : "User13", "Age" : 13, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3c1"), "Name" : "User14", "Age" : 14, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3c2"), "Name" : "User15", "Age" : 15, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3c3"), "Name" : "User16", "Age" : 16, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
> db.testcoll.re
db.testcoll.reIndex(           db.testcoll.renameCollection(
db.testcoll.remove(
> db.testcoll.remove({Name:"User14"})
WriteResult({ "nRemoved" : 1 })
> db.testcoll.find().limit(15)
{ "_id" : ObjectId("55adefd39883f07d0866c3b4"), "Name" : "User1", "Age" : 1, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3b5"), "Name" : "User2", "Age" : 2, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3b6"), "Name" : "User3", "Age" : 3, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3b7"), "Name" : "User4", "Age" : 4, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3b8"), "Name" : "User5", "Age" : 5, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3b9"), "Name" : "User6", "Age" : 6, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3ba"), "Name" : "User7", "Age" : 7, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3bb"), "Name" : "User8", "Age" : 8, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3bc"), "Name" : "User9", "Age" : 9, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3be"), "Name" : "User11", "Age" : 11, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3bf"), "Name" : "User12", "Age" : 12, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3c0"), "Name" : "User13", "Age" : 13, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3c2"), "Name" : "User15", "Age" : 15, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3c3"), "Name" : "User16", "Age" : 16, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3c4"), "Name" : "User17", "Age" : 17, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
> db.testcoll.update({Name:"User12"},{$set:{Age: 32}})
WriteResult({ "nMatched" : 1, "nUpserted" : 0, "nModified" : 1 })
> db.testcoll.find().limit(15)
{ "_id" : ObjectId("55adefd39883f07d0866c3b4"), "Name" : "User1", "Age" : 1, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3b5"), "Name" : "User2", "Age" : 2, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3b6"), "Name" : "User3", "Age" : 3, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3b7"), "Name" : "User4", "Age" : 4, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3b8"), "Name" : "User5", "Age" : 5, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3b9"), "Name" : "User6", "Age" : 6, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3ba"), "Name" : "User7", "Age" : 7, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3bb"), "Name" : "User8", "Age" : 8, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3bc"), "Name" : "User9", "Age" : 9, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3be"), "Name" : "User11", "Age" : 11, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3bf"), "Name" : "User12", "Age" : 32, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3c0"), "Name" : "User13", "Age" : 13, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3c2"), "Name" : "User15", "Age" : 15, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3c3"), "Name" : "User16", "Age" : 16, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3c4"), "Name" : "User17", "Age" : 17, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
> db.testcoll.co
db.testcoll.constructor             db.testcoll.copyTo(
db.testcoll.convertToCapped(        db.testcoll.count(
db.testcoll.convertToSingleObject(
> db.testcoll.count()
98
> db.testcoll.find({Age: {$gte:93}})
{ "_id" : ObjectId("55adefd49883f07d0866c410"), "Name" : "User93", "Age" : 93, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c411"), "Name" : "User94", "Age" : 94, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c412"), "Name" : "User95", "Age" : 95, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c413"), "Name" : "User96", "Age" : 96, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c414"), "Name" : "User97", "Age" : 97, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c415"), "Name" : "User98", "Age" : 98, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c416"), "Name" : "User99", "Age" : 99, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c417"), "Name" : "User100", "Age" : 100, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
>
> db.testcoll.find({Age: {$gte:93}},{Name:1,Age:1})
{ "_id" : ObjectId("55adefd49883f07d0866c410"), "Name" : "User93", "Age" : 93 }
{ "_id" : ObjectId("55adefd49883f07d0866c411"), "Name" : "User94", "Age" : 94 }
{ "_id" : ObjectId("55adefd49883f07d0866c412"), "Name" : "User95", "Age" : 95 }
{ "_id" : ObjectId("55adefd49883f07d0866c413"), "Name" : "User96", "Age" : 96 }
{ "_id" : ObjectId("55adefd49883f07d0866c414"), "Name" : "User97", "Age" : 97 }
{ "_id" : ObjectId("55adefd49883f07d0866c415"), "Name" : "User98", "Age" : 98 }
{ "_id" : ObjectId("55adefd49883f07d0866c416"), "Name" : "User99", "Age" : 99 }
{ "_id" : ObjectId("55adefd49883f07d0866c417"), "Name" : "User100", "Age" : 100 }
> db.testcoll.find({$and: [{Age:{$gt: 61}},{Age: {$lt:80}}]})
{ "_id" : ObjectId("55adefd49883f07d0866c3f1"), "Name" : "User62", "Age" : 62, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3f2"), "Name" : "User63", "Age" : 63, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3f3"), "Name" : "User64", "Age" : 64, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3f4"), "Name" : "User65", "Age" : 65, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3f5"), "Name" : "User66", "Age" : 66, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3f6"), "Name" : "User67", "Age" : 67, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3f7"), "Name" : "User68", "Age" : 68, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3f8"), "Name" : "User69", "Age" : 69, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3f9"), "Name" : "User70", "Age" : 70, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3fa"), "Name" : "User71", "Age" : 71, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3fb"), "Name" : "User72", "Age" : 72, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3fc"), "Name" : "User73", "Age" : 73, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3fd"), "Name" : "User74", "Age" : 74, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3fe"), "Name" : "User75", "Age" : 75, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3ff"), "Name" : "User76", "Age" : 76, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c400"), "Name" : "User77", "Age" : 77, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c401"), "Name" : "User78", "Age" : 78, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c402"), "Name" : "User79", "Age" : 79, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
> db.testcoll.insert({Name: "User101",Age: 101,Gender: "F",Address: "Beijing,Chian"})
WriteResult({ "nInserted" : 1 })
> db.testcoll.find({Address: {$exists: true}})
{ "_id" : ObjectId("55adf56044061abfb9ba93f2"), "Name" : "User101", "Age" : 101, "Gender" : "F", "Address" : "Beijing,Chian" }
> db.testcoll.find({Address: {$exists: false}})
{ "_id" : ObjectId("55adefd39883f07d0866c3b4"), "Name" : "User1", "Age" : 1, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3b5"), "Name" : "User2", "Age" : 2, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3b6"), "Name" : "User3", "Age" : 3, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3b7"), "Name" : "User4", "Age" : 4, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3b8"), "Name" : "User5", "Age" : 5, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3b9"), "Name" : "User6", "Age" : 6, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3ba"), "Name" : "User7", "Age" : 7, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3bb"), "Name" : "User8", "Age" : 8, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3bc"), "Name" : "User9", "Age" : 9, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3be"), "Name" : "User11", "Age" : 11, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3bf"), "Name" : "User12", "Age" : 32, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3c0"), "Name" : "User13", "Age" : 13, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3c2"), "Name" : "User15", "Age" : 15, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3c3"), "Name" : "User16", "Age" : 16, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3c4"), "Name" : "User17", "Age" : 17, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3c5"), "Name" : "User18", "Age" : 18, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3c6"), "Name" : "User19", "Age" : 19, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3c7"), "Name" : "User20", "Age" : 20, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3c8"), "Name" : "User21", "Age" : 21, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c3c9"), "Name" : "User22", "Age" : 22, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
Type "it" for more
> db.testcoll.update({Age: {$gt:80}},{$set: {Gender: "F"}})
WriteResult({ "nMatched" : 1, "nUpserted" : 0, "nModified" : 0 })
> db.testcoll.find({Age: {$gte: 80}})
{ "_id" : ObjectId("55adf56044061abfb9ba93f2"), "Name" : "User101", "Age" : 101, "Gender" : "F", "Address" : "Beijing,Chian" }
{ "_id" : ObjectId("55adefd49883f07d0866c403"), "Name" : "User80", "Age" : 80, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c404"), "Name" : "User81", "Age" : 81, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c405"), "Name" : "User82", "Age" : 82, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c406"), "Name" : "User83", "Age" : 83, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c407"), "Name" : "User84", "Age" : 84, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c408"), "Name" : "User85", "Age" : 85, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c409"), "Name" : "User86", "Age" : 86, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c40a"), "Name" : "User87", "Age" : 87, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c40b"), "Name" : "User88", "Age" : 88, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c40c"), "Name" : "User89", "Age" : 89, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c40d"), "Name" : "User90", "Age" : 90, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c40e"), "Name" : "User91", "Age" : 91, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c40f"), "Name" : "User92", "Age" : 92, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c410"), "Name" : "User93", "Age" : 93, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c411"), "Name" : "User94", "Age" : 94, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c412"), "Name" : "User95", "Age" : 95, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c413"), "Name" : "User96", "Age" : 96, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c414"), "Name" : "User97", "Age" : 97, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c415"), "Name" : "User98", "Age" : 98, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
Type "it" for more
> db.testcoll.update({Age: {$gt:85}},{$set: {Gender: "F"}},{multi:true})
WriteResult({ "nMatched" : 16, "nUpserted" : 0, "nModified" : 15 })
> db.testcoll.find({Age: {$gte: 80}})
{ "_id" : ObjectId("55adf56044061abfb9ba93f2"), "Name" : "User101", "Age" : 101, "Gender" : "F", "Address" : "Beijing,Chian" }
{ "_id" : ObjectId("55adefd49883f07d0866c403"), "Name" : "User80", "Age" : 80, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c404"), "Name" : "User81", "Age" : 81, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c405"), "Name" : "User82", "Age" : 82, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c406"), "Name" : "User83", "Age" : 83, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c407"), "Name" : "User84", "Age" : 84, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c408"), "Name" : "User85", "Age" : 85, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c409"), "Name" : "User86", "Age" : 86, "Gender" : "F", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c40a"), "Name" : "User87", "Age" : 87, "Gender" : "F", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c40b"), "Name" : "User88", "Age" : 88, "Gender" : "F", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c40c"), "Name" : "User89", "Age" : 89, "Gender" : "F", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c40d"), "Name" : "User90", "Age" : 90, "Gender" : "F", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c40e"), "Name" : "User91", "Age" : 91, "Gender" : "F", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c40f"), "Name" : "User92", "Age" : 92, "Gender" : "F", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c410"), "Name" : "User93", "Age" : 93, "Gender" : "F", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c411"), "Name" : "User94", "Age" : 94, "Gender" : "F", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c412"), "Name" : "User95", "Age" : 95, "Gender" : "F", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c413"), "Name" : "User96", "Age" : 96, "Gender" : "F", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c414"), "Name" : "User97", "Age" : 97, "Gender" : "F", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c415"), "Name" : "User98", "Age" : 98, "Gender" : "F", "PreferBook" : [ "first book", "Second book" ] }
Type "it" for more
> db.testcoll.update({Name: "User92"},{$unset:{PreferBooks: ""}})
WriteResult({ "nMatched" : 1, "nUpserted" : 0, "nModified" : 0 })
> db.testcoll.find({Age: {$gte: 80}})
{ "_id" : ObjectId("55adf56044061abfb9ba93f2"), "Name" : "User101", "Age" : 101, "Gender" : "F", "Address" : "Beijing,Chian" }
{ "_id" : ObjectId("55adefd49883f07d0866c403"), "Name" : "User80", "Age" : 80, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c404"), "Name" : "User81", "Age" : 81, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c405"), "Name" : "User82", "Age" : 82, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c406"), "Name" : "User83", "Age" : 83, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c407"), "Name" : "User84", "Age" : 84, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c408"), "Name" : "User85", "Age" : 85, "Gender" : "M", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c409"), "Name" : "User86", "Age" : 86, "Gender" : "F", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c40a"), "Name" : "User87", "Age" : 87, "Gender" : "F", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c40b"), "Name" : "User88", "Age" : 88, "Gender" : "F", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c40c"), "Name" : "User89", "Age" : 89, "Gender" : "F", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c40d"), "Name" : "User90", "Age" : 90, "Gender" : "F", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c40e"), "Name" : "User91", "Age" : 91, "Gender" : "F", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c40f"), "Name" : "User92", "Age" : 92, "Gender" : "F", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c410"), "Name" : "User93", "Age" : 93, "Gender" : "F", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c411"), "Name" : "User94", "Age" : 94, "Gender" : "F", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c412"), "Name" : "User95", "Age" : 95, "Gender" : "F", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c413"), "Name" : "User96", "Age" : 96, "Gender" : "F", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c414"), "Name" : "User97", "Age" : 97, "Gender" : "F", "PreferBook" : [ "first book", "Second book" ] }
{ "_id" : ObjectId("55adefd49883f07d0866c415"), "Name" : "User98", "Age" : 98, "Gender" : "F", "PreferBook" : [ "first book", "Second book" ] }
Type "it" for more

你可能感兴趣的:(删,改,基础操作,database)

2023-04-17|篮球女孩长一木
1小学抑或初中阶段，在课外书了解到她的故事。“篮球女孩”。当时佩服她的顽强，也对生命多了一丝敬畏。今天刚好在公众号看到，长大后的“篮球女孩”。佩服之余又满是心疼。网络侵删祝那素未蒙面的女孩，未来一切顺遂。
父母教育孩子的方式，将影响孩子一生树英教育
为什么有些孩子总是充满自信与快乐？独立、有主见又坚强？而有些孩子却自卑、胆怯，软弱又过度依赖父母？为什么有些孩子总是健康、阳光又富于创造力？而有些孩子却悲观、孤僻又思想空乏？一个孩子的行为取决于孩子的思想，思想取决于环境和自己的认知，认知取决于教育。父母是孩子人生中的第一位教育者，父母养育孩子的方式，将决定他们人生的高度，影响他们的一生。网络图，侵权即删优秀的父母就像园丁，既要浇水施肥，又要修剪杂
博客网站制作教程 2401_85194651 java maven
首先就是技术框架：后端：Java+SpringBoot数据库：MySQL前端：Vue.js数据库连接：JPA(JavaPersistenceAPI)1.项目结构blog-app/├──backend/│├──src/main/java/com/example/blogapp/││├──BlogApplication.java││├──config/│││└──DatabaseConfig.java
愿你无病无灾，余生由我宠你沐眠_a1fa
01愿你无病无灾，余生由我宠你图片来源网络，侵权联系删图曾经在书中看到这样一段话：人老了就活成‘大孩子’了，需要你像当初他拉扯你长大一样去拉扯他了。”以前没有什么感触。但是这段时间，生病后到现在，我明显感觉你就是一个‘大孩子’，我们不许，你偏要，我们说你，你也会闹脾气，就活生生像一个三岁小孩。有时候，我真的很烦，很想对您发火，但是最后还是不了了之，因为看到那样的您，我真的不知道该如何开口。在几个月
杨丽萍被diss上热搜：是谁在胡乱定义中国女性？果沐妈咪
最近，舞蹈大师杨丽萍因为60岁还没结婚没孩子，被某音网友diss上热搜，评论还被点赞1万多次，一度占据了热评第一名（目前已删）。很难想象在2020年，还有人揪着女性的衣领质问：你怎么不结婚呢？你怎么不生孩子呢？很快，这种言论引发了微博上的大讨论。几位女明星也站出来为杨丽萍发声，声援她。戚薇“一个人最大的失败是：时至今日还在给我们“女人”下定义，还把儿孙满堂当作女人唯一的成就。。。生育工具？！呵呵，
“无”，有大用我若盛开
2021/7/7日更36/100网图，侵删《道德经》节选解析“三十辐，共一毂；当其无，有车之用。埏埴以为器，当其无，有器之用。凿户牖以为室，当其无，有室之用。故有之以为利，无之以为用。”译文：三十根辐条汇集到一根毂的孔洞当中，有了车毂中空的地方，才有车的作用。揉和陶土做成器皿，有了器具中空的地方，才有器皿的作用。开凿门窗建造房屋，有了门窗四壁内的空虚部分，才有房屋的作用。所以，“有”只是提供了条件
女儿讲笑话系列 | 得想点办法梁之川
期末考试小明又考砸了。爸爸接过试卷看了许久，语重心长地说：小明，分数这么低，你得想点办法啊！小明回答：我也想啊！这分数是用黑色水笔写的，我也没办法改啊……
操作系统基础怡晗★ Linux linux
目录操作系统基础冯诺依曼体系结构介绍操作系统基本认知本篇文章是后面学习操作系统知识的基础操作系统基础冯诺依曼体系结构介绍冯诺依曼体系结构如下：在上图中「输入设备」和「输出设备」一般被称为计算机的外设，而「存储器」在冯诺依曼体系结构中表示「内存」输入设备一般包括：网卡、磁盘、键盘、触摸屏等输出设备一般包括：网卡、磁盘、鼠标、触摸屏、显示器（非触摸屏）等内存的作用「内存」是中央处理器与计算机其他设备的
宋真宗御笔书名的“岳麓书院”，历经千年魅力永续博物馆学文化
中国古代书院，兴起于唐，清代诗人袁枚在《随园随笔》中记载：“书院之名起唐玄宗时，丽正书院、集贤书院皆建于朝省，为修书之地，非士子肄业之所也。”在《新唐书·百官志》中记载：“唐开元六年，将乾元院改为丽正修书院，十三年又改丽正修书院为集贤殿书院。”这是史料中有关书院最早的记载。是唐代为了搜集图书、校刊经籍，撰写文章的场所，而非教育机构，也非朝廷的正式办事机构。最早具有教育功能的书院是白鹿洞书院，与它一
华为USG6000E-S12防火墙Key exchange failed.无法SSH解决方案 redmond88 网络技术 ssh 华为运维
由于目前防火墙算法太新，导致crt和xshell的版本无法登陆，按以下方法解决一、下载华为本地加载除弱安全算法组件包之外的组件包https://download.csdn.net/download/redmond88/89620664?spm=1001.2014.3001.5503二、先改后缀名为.cfg,上传文件到防火墙三、在用户视图下改后缀名为.mod四、move文件到$_install_mo
docker改容器IP的两种方法 redmond88 linux docker tcp/ip 容器
最简单实用的方法：docker默认的内网网段为172.17.0.0/16，如果公司内网网段也是172.17.x.x的话，就会发生路由冲突。解决办法改路由比较办法，可以一开始就将docker配置的bip改成169.254.0.1/24，可以避免冲突。在daemon配置文件里加个"bip":“169.254.0.1/24”，重启docker就可以了1234[root@st-dev6~]#vim/etc
Jooq 框架介绍及其核心要点木南曌 Java java
一、引言Jooq（JavaPersistenceforRelationalDatabases）是一个强大的类型安全的SQL查询构建器和ORM（Object-RelationalMapping）框架，专为Java和Kotlin设计。它为开发者提供了一种优雅的方式来编写SQL代码，同时还能享受到静态类型检查带来的好处。本文将详细介绍Jooq的核心功能，并通过一系列的代码示例来展示如何使用Jooq。二、
“杜苏芮”是谁？“杜苏芮”到底有多可怕？峡谷风6248
这两天，“杜苏芮”成为最热的词，那“杜苏芮”是谁？是明星吗？是唱歌的还是跳舞的还是演员、作家？“杜苏芮”到底有多可怕？“杜苏芮”感觉像人名，还和明星阿杜和苏芮的名字意外相似，但它与阿杜和苏芮没有半毛钱的关系。那“杜苏芮”到底是谁呢？“杜苏芮”是2012年太平洋台风季第六个被命名的风暴，其名字“杜苏芮”一名由韩国提供，意为秃鹫，猛禽，狼鹰的一种。网图侵删这个台风为什么叫“杜苏芮”？原来台风的命名是论
素质炸裂 2 爱折腾电脑的Win10
本以为前几天我二姨奶来我家闹事就算了，没想到这么快又见面了。今天是星期天，中午还要去吃高价饭，美滋滋，但，那个**的二姨奶又来了，啊，我真高兴啊（放屁）。11:30左右，我刚改完卷子的错题，就听见砰砰砰三声跺门声，声音大的，我在我屋子里关上门就能听的一清二楚，还能感觉到我旁边的墙壁在震。然后就听见开门声，在就忽然听见有个人好像在吼，不会是哪个人突然过来找茬的吧？细想一下，原来是那个**二姨奶来了，
今日份碎碎念光阴有侍
今天也太忙了吧，感觉一个人干了三个人的活，又是找图片，修图片，然后画cad改cad还要算面积，好不容易在五点之前搞好了，正准备下班呢，助理又开始有问题，真的好烦啊，做一个窗户收口要做一个小时，我也真的是够了，每次都耽误下班。不知道明天能不能早点下班呀，还要去兼职呢。兼职去的越来越少了，好想多挣钱啊，但是我又想休息。今天本来打算写文章的，结果太忙了，也没时间写，不知道明天能不能写啊。最近真的太乱七八
解决mysql漏洞 Oracle MySQL Server远程安全漏洞(CVE-2015-0411) dieweidong5625 数据库运维 java
有时候会检测到服务器有很多漏洞，而大部分漏洞都是由于服务的版本过低的原因，因为官网出现漏洞就会发布新版本来修复这个漏洞，所以一般情况下，我们只需要对相应的软件包进行升级到安全版本即可。通过查阅官网信息，OracleMySQLServer远程安全漏洞(CVE-2015-0411)，受影响系统：OracleMySQLServer/usr/databases.sql//先备份原有所有数据，防止数据丢失。
数据库概述 pokemon.. 数据库 mysql
一、数据库的定义数据库（Database）是存储在计算机系统中的有组织的、通常是结构化的数据集合。数据库系统允许用户通过特定的方式（如查询语言）来插入、更新、删除和检索数据。在数据库管理系统（DBMS）中，数据、表和数据库是三个层次不同的概念，它们之间有着明确的层次结构和关系1.数据（Data）定义：数据是数据库中存储的基本信息单位，是数据库的内容。数据可以是数字、文本、日期、图像、声音等形式，表
随意养生0831 苏梅LI
今天和邵老师，了妈一起共修太极。今天在定步云手和活步云手时，都关注两个方面的问题，第一是沉肩坠肘，第二是松胯。因为有需要观察的地方，所以思绪并不纷飞。今天聊起学习中医的问题，我还是对最初的经络比较感兴趣。最近曾学了一遍，12条经脉的易堵穴位。但是邵老师说了一句非常到位的话，她认为经络是否通畅，最关键还要看自身的能量。这个能量既来自于五谷精微之气，也来自于天地之间，还来自于大德的修炼。下午茶时间，改
quartus pin 分配（三）落雨无风 IC设计 fpga fpga开发
quartuspin分配如有需要，可查看quartusUI界面sdc配置（二）上次文章中，说了自己写sdc需要配置的分类点，这次将介绍管脚分配。已打开Quartus软件，导入设计，写好约束下一步，在Quartus软件的菜单栏打开Assignments中的二级菜单PinPlanner打开改界面即可看到选中的fpga型号，管脚图，封装类型等信息。在打开的界面中，大致可分为上下两个部分。上半部分，可分为
亲子日记 105 改变 2018级六班刘辰溪妈妈
2018.11.6星期二小雨这两天困扰了我的一个问题又解决了，就是女儿接受不了我给她打错号问题，在前面的日记里，我记录了女儿接受不了错误，李梓涵爸爸看到了，给我出主意，想办法，让我先了解一下原因！我根据他说的办法和女儿沟通下，女儿告诉我：“我也不想哭，可是眼泪控制不住自己就掉下来了。”我告诉女儿，如果是这样就抬起头来深呼吸！今天晚上女儿又做错了几道题，让她把打错号的改过来，女儿很干脆的就改去了，改
【数字化供应链】数字化供应链架构、全景管理、全流程贯通方案数字化建设方案数字化转型数据治理主数据数据仓库供应链数字仓储智慧物流智慧仓储物流园区架构微服务数据挖掘大数据人工智能
原文《数字化供应链架构、全景管理、全流程贯通方案》PPT格式。主要从供应链管理全景、智慧供应链建设总体目标、供应链总体业务流程、供应链总体功能架构、供应链总体技术架构、供应链全流程贯通、供应链全领域管理、供应链数据数据分析、供应链决策中台等进行建设。本文仅对主要内容进行介绍。来源网络公开渠道，旨在交流学习，如有侵权联系速删，更多参考公众号：优享智库基于先进IT技术、大数据能力、物联网应用、区块链平
故事||致爱上一个人译垚
有时候，一首不出名，也不算很好听的歌曲，歌词和对白，与身边的一些故事，是那么的相似，人生有多少的故事，疼痛溶在一首音乐里......原创文/译垚网图致谢原创者侵删故事||致爱上一个人痛苦不需要预演爱时，撕心裂肺有多傲娇和狠心把真心爱你的人，伤得彻底为爱一个人，思念决堤浪潮无情的淹没真心抓住最后一根稻草，为等待硬撑泪水是睡前那声晚安哭泣一直不肯入眠幻影，均在梦中迈出脚步才知远方没有终点爱被拒千里之外
gs3101光猫改桥接及路由器pppie拨号设置 xing2zhe3wujiang1 路由器网络
1)改桥接1连接光猫发出的WiFi，并访问192.168.1.1输入光猫背面提供的账号密码，保持登录。2打开新页面并访问192.168.1.1/cgi-bin/getGateWay.cgiFamilyGateWayYes/No#如果第二行显示No，再次刷新浏览器就可以了3在控制面板-程序和功能-启动或关闭Windows功能选中Telnet4输入telnet192.168.1.1tclogin：ad
小程序开关组件 phoebe_l_ 小程序
前提是vant组件库不太好改，干脆就手写了一个{{leftText}}{{rightText}}import{ref,computed}from'vue';constprops=defineProps({leftText:{type:String,default:''},rightText:{type:String,default:''}});constisReverseOrder=ref(tru
优劣对比大梅子a
每天的坚持，想想也是够了，老板安排的工作，我们怎么样去对待呢？我持有的那份激情，似乎都拿去针对老板了，每天的工作安排，我都是你有上策我有下策，我在想，如果这些方法运用到客户上头上，那么我的业绩应该还理想吧！我的优点，细心，耐心，漂亮，善良，大方我的缺点:性子急，烦躁，负面情绪，心态不好，个子矮，爱护多，却坚持不下来，不够坚持，没有主见那么多缺点，我要慢慢去改，克制
不念过往，不畏将来一袖红尘
网图，侵删迎春送夏，历秋经冬，2020年走到了最后一天，未来的365天将属于2021年。道一声“再见”，说一句“你好”，过去和未来在今天擦肩而过！子在川上曰：逝者如斯夫！时间像一条河流，无声无息中冲淡了许多回忆，惟有文字，让渐行渐远的岁月犹有痕迹可循。庚子新春，疫情席卷，大江南北闻疫色变。除夕之夜，老公身着白色防护服走进了预热门诊，第一次没有陪我和女儿守岁，听诊器下病人的心跳是他听到的第一声新年钟
《知否》原著：盛老太太厌恶林噙霜不因她暗中苟且，而是因一番话橙橙读书
图文|源自电视剧《知否》，侵删版权|文章为原创，搬运必究看过《知否》的人，都知道盛老太太是个厉害的角色。她是勇毅侯府独女，下嫁到盛家，在盛老太爷过世后，独自抚养庶子成家立业。为此，盛老太太素有贤名在外。可她年轻时，为了替过世的亲儿子报仇，当众整治了盛老太爷的得宠小妾。如此爱憎分明的人，为什么能容忍林噙霜在盛家横行二十年？起初看剧时不是很理解，但看完原著后，才明白盛老太太厌恶林噙霜，并不是因为她与盛
springboot整合MongoDB时碰到的问题生产队队长 Database Spring All mongodb spring
1.账号总是不对，导致查不出数据，报错Auth…权鉴错误这次，我也是第一次接触MongoDB，非常的生疏springboot整合MongoDB，要在properties文件中配置账号mongodb基本语法：useDATABASE_NAME;--创建数据库showdbs;--查看我们所有的库，注意，我们刚创建的库，如果没有数据，是不会被显示的showusers;--查看当前库所有拥有的账号db.cr
前端基础面试题·第三篇——JavaScript（其二） DT—— 前端面试 javascript 面试
1.深浅拷贝1.浅拷贝浅拷贝会创建一个新的对象，这个对象有着原始对象属性值的一份精确拷贝。如果属性是基本类型，拷贝的就是基本类型的值，如果属性是引用类型，拷贝就是改引用类型的地址。//常见的浅拷贝1.Object.assign({},obj)//对象浅拷贝assign⽅法可以⽤于处理数组，不过会把数组视为对象，⽐如这⾥会把⽬标数组视为是属性为0、1、2的对象，所以源数组的0、1属性的值覆盖了⽬标对
《女配生存法则》｜1.拯救恶毒女配柒日酒馆
图源网络，侵权删1.买个早餐都能摔，沐晚晚发誓今天是她最惨的一天，偏偏现在的她无暇顾及摔的原因。周围的风快速流动，带给她刺骨的疼，她已经睁不开眼睛了，不止是因为害怕被这猛风戳瞎眼睛，更是因为她不想知道自己离死亡还有多远。“天地良心，我以后再也不买早餐了，让我死的好看点……”沐晚晚用尽全身力气大喊着，她已经不奢望自己能活着了。不知道过了多久，沐晚晚脑中的各种想法都归于平静，“原来死后还有意识啊。”感
java数字签名三种方式知了ing java jdk
以下3钟数字签名都是基于jdk7的 1，RSA String password="test"; // 1.初始化密钥 KeyPairGenerator keyPairGenerator = KeyPairGenerator.getInstance("RSA"); keyPairGenerator.initialize(51
Hibernate学习笔记 caoyong Hibernate
1>、Hibernate是数据访问层框架，是一个ORM(Object Relation Mapping)框架，作者为:Gavin King 2>、搭建Hibernate的开发环境 a>、添加jar包: aa>、hibernatte开发包中/lib/required/所
设计模式之装饰器模式Decorator（结构型）漂泊一剑客 Decorator
1. 概述若你从事过面向对象开发，实现给一个类或对象增加行为，使用继承机制，这是所有面向对象语言的一个基本特性。如果已经存在的一个类缺少某些方法，或者须要给方法添加更多的功能（魅力），你也许会仅仅继承这个类来产生一个新类—这建立在额外的代码上。
读取磁盘文件txt，并输入String 一炮送你回车库 String
public static void main(String[] args) throws IOException { String fileContent = readFileContent("d:/aaa.txt"); System.out.println(fileContent);
js三级联动下拉框 3213213333332132 三级联动
//三级联动省/直辖市<select id="province"></select> 市/省直辖<select id="city"></select> 县/区 <select id="area"></select>
erlang之parse_transform编译选项的应用 616050468 parse_transform 游戏服务器属性同步 abstract_code
最近使用erlang重构了游戏服务器的所有代码，之前看过C++/lua写的服务器引擎代码，引擎实现了玩家属性自动同步给前端和增量更新玩家数据到数据库的功能，这也是现在很多游戏服务器的优化方向，在引擎层面去解决数据同步和数据持久化，数据发生变化了业务层不需要关心怎么去同步给前端。由于游戏过程中玩家每个业务中玩家数据更改的量其实是很少
JAVA JSON的解析 darkranger java
// { // “Total”：“条数”， // Code: 1, // // “PaymentItems”:[ // { // “PaymentItemID”:”支款单ID”, // “PaymentCode”:”支款单编号”, // “PaymentTime”:”支款日期”, // ”ContractNo”:”合同号”， //
POJ-1273-Drainage Ditches aijuans ACM_POJ
POJ-1273-Drainage Ditches http://poj.org/problem?id=1273 基本的最大流，按LRJ的白书写的 #include<iostream> #include<cstring> #include<queue> using namespace std; #define INF 0x7fffffff int ma
工作流Activiti5表的命名及含义 atongyeye 工作流 Activiti
activiti5 - http://activiti.org/designer/update在线插件安装 activiti5一共23张表 Activiti的表都以ACT_开头。第二部分是表示表的用途的两个字母标识。用途也和服务的API对应。 ACT_RE_*: 'RE'表示repository。这个前缀的表包含了流程定义和流程静态资源（图片，规则，等等）。 A
android的广播机制和广播的简单使用百合不是茶 android 广播机制广播的注册
Android广播机制简介在Android中，有一些操作完成以后，会发送广播，比如说发出一条短信，或打出一个电话，如果某个程序接收了这个广播，就会做相应的处理。这个广播跟我们传统意义中的电台广播有些相似之处。之所以叫做广播，就是因为它只负责“说”而不管你“听不听”，也就是不管你接收方如何处理。另外，广播可以被不只一个应用程序所接收，当然也可能不被任何应
Spring事务传播行为详解 bijian1013 java spring 事务传播行为
在service类前加上@Transactional，声明这个service所有方法需要事务管理。每一个业务方法开始时都会打开一个事务。 Spring默认情况下会对运行期例外(RunTimeException)进行事务回滚。这
eidtplus operate 征客丶 eidtplus
开启列模式: Alt+C 鼠标选择 OR Alt+鼠标左键拖动列模式替换或复制内容(多行): 右键-->格式-->填充所选内容-->选择相应操作 OR Ctrl+Shift+V(复制多行数据,必须行数一致) -------------------------------------------------------
【Kafka一】Kafka入门 bit1129 kafka
这篇文章来自Spark集成Kafka(http://bit1129.iteye.com/blog/2174765)，这里把它单独取出来，作为Kafka的入门吧下载Kafka http://mirror.bit.edu.cn/apache/kafka/0.8.1.1/kafka_2.10-0.8.1.1.tgz 2.10表示Scala的版本，而0.8.1.1表示Kafka
Spring 事务实现机制 BlueSkator spring 代理事务
Spring是以代理的方式实现对事务的管理。我们在Action中所使用的Service对象，其实是代理对象的实例，并不是我们所写的Service对象实例。既然是两个不同的对象，那为什么我们在Action中可以象使用Service对象一样的使用代理对象呢？为了说明问题，假设有个Service类叫AService，它的Spring事务代理类为AProxyService，AService实现了一个接口
bootstrap源码学习与示例：bootstrap-dropdown（转帖） BreakingBad bootstrap dropdown
bootstrap-dropdown组件是个烂东西，我读后的整体感觉。一个下拉开菜单的设计： <ul class="nav pull-right"> <li id="fat-menu" class="dropdown">
读《研磨设计模式》-代码笔记-中介者模式-Mediator bylijinnan java 设计模式
声明：本文只为方便我个人查阅和理解，详细的分析以及源代码请移步原作者的博客http://chjavach.iteye.com/ /* * 中介者模式（Mediator）：用一个中介对象来封装一系列的对象交互。 * 中介者使各对象不需要显式地相互引用，从而使其耦合松散，而且可以独立地改变它们之间的交互。 * * 在我看来，Mediator模式是把多个对象（
常用代码记录 chenjunt3 UI Excel J#
1、单据设置某行或某字段不能修改 //i是行号,"cash"是字段名称 getBillCardPanelWrapper().getBillCardPanel().getBillModel().setCellEditable(i, "cash", false); //取得单据表体所有项用以上语句做循环就能设置整行了 getBillC
搜索引擎与工作流引擎 comsci 算法工作搜索引擎网络应用
最近在公司做和搜索有关的工作，(只是简单的应用开源工具集成到自己的产品中)工作流系统的进一步设计暂时放在一边了，偶然看到谷歌的研究员吴军写的数学之美系列中的搜索引擎与图论这篇文章中的介绍，我发现这样一个关系(仅仅是猜想) -----搜索引擎和流程引擎的基础--都是图论，至少像在我在JWFD中引擎算法中用到的是自定义的广度优先
oracle Health Monitor daizj oracle Health Monitor
About Health Monitor Beginning with Release 11g, Oracle Database includes a framework called Health Monitor for running diagnostic checks on the database. About Health Monitor Checks Health M
JSON字符串转换为对象 dieslrae java json
作为前言,首先是要吐槽一下公司的脑残编译部署方式,web和core分开部署本来没什么问题,但是这丫居然不把json的包作为基础包而作为web的包,导致了core端不能使用,而且我们的core是可以当web来用的(不要在意这些细节),所以在core中处理json串就是个问题.没办法,跟编译那帮人也扯不清楚,只有自己写json的解析了.
C语言学习八结构体，综合应用，学生管理系统 dcj3sjt126com C语言
实现功能的代码： # include <stdio.h> # include <malloc.h> struct Student { int age; float score; char name[100]; }; int main(void) { int len; struct Student * pArr; int i,
vagrant学习笔记 dcj3sjt126com vagrant
想了解多主机是如何定义和使用的, 所以又学习了一遍vagrant 1. vagrant virtualbox 下载安装 https://www.vagrantup.com/downloads.html https://www.virtualbox.org/wiki/Downloads 查看安装在命令行输入vagrant 2.
14.性能优化-优化-软件配置优化 frank1234 软件配置性能优化
1.Tomcat线程池修改tomcat的server.xml文件： <Connector port="8080" protocol="HTTP/1.1" connectionTimeout="20000" redirectPort="8443" maxThreads="1200" m
一个不错的shell 脚本教程入门级 HarborChung linux shell
一个不错的shell 脚本教程入门级建立一个脚本　　Linux中有好多中不同的shell，但是通常我们使用bash (bourne again shell) 进行shell编程，因为bash是免费的并且很容易使用。所以在本文中笔者所提供的脚本都是使用bash（但是在大多数情况下，这些脚本同样可以在 bash的大姐，bourne shell中运行）。　　如同其他语言一样
Spring4新特性——核心容器的其他改进 jinnianshilongnian spring 动态代理 spring4 依赖注入
Spring4新特性——泛型限定式依赖注入 Spring4新特性——核心容器的其他改进 Spring4新特性——Web开发的增强 Spring4新特性——集成Bean Validation 1.1(JSR-349)到SpringMVC Spring4新特性——Groovy Bean定义DSL Spring4新特性——更好的Java泛型操作API Spring4新
Linux设置tomcat开机启动 liuxingguome tomcat linux 开机自启动
执行命令sudo gedit /etc/init.d/tomcat6 然后把以下英文部分复制过去。（注意第一句#!/bin/sh如果不写，就不是一个shell文件。然后将对应的jdk和tomcat换成你自己的目录就行了。 #!/bin/bash # # /etc/rc.d/init.d/tomcat # init script for tomcat precesses
第13章 Ajax进阶（下） onestopweb Ajax
index.html <!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> <html xmlns="http://www.w3.org/
Troubleshooting Crystal Reports off BW blueoxygen BO
http://wiki.sdn.sap.com/wiki/display/BOBJ/Troubleshooting+Crystal+Reports+off+BW#TroubleshootingCrystalReportsoffBW-TracingBOE Quite useful, especially this part: SAP BW connectivity For t
Java开发熟手该当心的11个错误 tomcat_oracle java jvm 多线程单元测试
#1、不在属性文件或XML文件中外化配置属性。比如，没有把批处理使用的线程数设置成可在属性文件中配置。你的批处理程序无论在DEV环境中，还是UAT（用户验收测试）环境中，都可以顺畅无阻地运行，但是一旦部署在PROD 上，把它作为多线程程序处理更大的数据集时，就会抛出IOException，原因可能是JDBC驱动版本不同，也可能是#2中讨论的问题。如果线程数目可以在属性文件中配置，那么使它成为
正则表达式大全 yang852220741 html 编程正则表达式
今天向大家分享正则表达式大全，它可以大提高你的工作效率正则表达式也可以被当作是一门语言，当你学习一门新的编程语言的时候，他们是一个小的子语言。初看时觉得它没有任何的意义，但是很多时候，你不得不阅读一些教程，或文章来理解这些简单的描述模式。一、校验数字的表达式数字：^[0-9]*$ n位的数字：^\d{n}$ 至少n位的数字：^\d{n,}$ m-n位的数字：^\d{m,n}$