pymongo是一个驱动程序,用Python编写的高性能,文件为基础的数据库。
pymongo是一个驱动程序,,用Python编写的高性能,文件为基础的数据库。
下载并安装。
[monogdb@localhost bin]$wget #md5=12e12163e6cc22993808900fb9629252
--21:21:18--
正在解析主机 pypi.python.org... 82.94.164.168, 2001:888:2000:d::a8
Connecting to pypi.python.org|82.94.164.168|:80... 已连接。
已发出 HTTP 请求,正在等待回应... 200 OK
长度:146895 (143K) [application/x-gzip]
Saving to: `pymongo-1.9.tar.gz'
100%[============================================================================================>] 146,895 66.9K/s in 2.1s
21:21:21 (66.9 KB/s) - `pymongo-1.9.tar.gz' saved [146895/146895]
[monogdb@localhost bin]$tar zxvf pymongo-1.9.tar.gz
pymongo-1.9/
pymongo-1.9/doc/
pymongo-1.9/ez_setup.py/
pymongo-1.9/pymongo/
pymongo-1.9/setup.cfg
pymongo-1.9/setup.py
......
pymongo-1.9/bson/timestamp.py
pymongo-1.9/bson/tz_util.py
[monogdb@localhost bin]$ cd pymongo-1.9
[monogdb@localhost pymongo-1.9]$ ls
bson ez_setup.py LICENSE PKG-INFO pymongo.egg-info setup.cfg test
doc gridfs MANIFEST.in pymongo README.rst setup.py tools
第一次执行安装的时候报错,权限不够
[monogdb@localhost pymongo-1.9]$ python setup.py install
running install
error: can't create or remove files in install directory
The following error occurred while trying to add or remove files in the
installation directory:
[Errno 13] Permission denied: '/usr/lib64/python2.4/site-packages/test-easy-install-11661.write-test'
The installation directory you specified (via --install-dir, --prefix, or
the distutils default setting) was:
/usr/lib64/python2.4/site-packages/
Perhaps your account does not have write access to this directory? If the
installation directory is a system-owned directory, you may need to sign in
as the administrator or "root" account. If you do not have administrative
access to this machine, you may wish to choose a different installation
directory, preferably one that is listed in your PYTHONPATH environment
variable.
以root权限给monogdb赋予访问/usr/lib64/python2.4/site-packages/的权限:
[root@localhost ~]#chown monogdb:monogdb /usr/lib64/python2.4/site-packages/
再次安装。。
[monogdb@localhost pymongo-1.9]$python setup.py install
running install
running bdist_egg
running egg_info
writing pymongo.egg-info/PKG-INFO
writing top-level names to pymongo.egg-info/top_level.txt
writing dependency_links to pymongo.egg-info/dependency_links.txt
Processing pymongo-1.9-py2.4-linux-x86_64.egg
creating /usr/lib64/python2.4/site-packages/pymongo-1.9-py2.4-linux-x86_64.egg
Extracting pymongo-1.9-py2.4-linux-x86_64.egg to /usr/lib64/python2.4/site-packages
Adding pymongo 1.9 to easy-install.pth file
Installed /usr/lib64/python2.4/site-packages/pymongo-1.9-py2.4-linux-x86_64.egg
Processing dependencies for pymongo==1.9
Finished processing dependencies for pymongo==1.9
测试python环境中与monogdb的交互。
[monogdb@localhost pymongo-1.9]$ python
Python 2.4.3 (#1, Jan 21 2009, 01:11:33)
[GCC 4.1.2 20071124 (Red Hat 4.1.2-42)] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import pymongo
>>> conn = pymongo.Connection(host="127.0.0.1")
>>> db=conn.test
>>> db
Database(Connection('127.0.0.1', 27017), u'test')
>>> str={"id":1,'val':"hello monogdb"}
>>> db.test.save(str)
ObjectId('4e3fe5d8e138232e61000000')
>>> cursor = db.test.find()
>>> for i in cursor:
... print i
...
{u'_id': ObjectId('4e3fe5d8e138232e61000000'), u'id': 1, u'val': u'hello monogdb'}
>>>
成功!!

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Compared with other programming languages, MySQL is mainly used to store and manage data, while other languages such as Python, Java, and C are used for logical processing and application development. MySQL is known for its high performance, scalability and cross-platform support, suitable for data management needs, while other languages have advantages in their respective fields such as data analytics, enterprise applications, and system programming.

MySQL is worth learning because it is a powerful open source database management system suitable for data storage, management and analysis. 1) MySQL is a relational database that uses SQL to operate data and is suitable for structured data management. 2) The SQL language is the key to interacting with MySQL and supports CRUD operations. 3) The working principle of MySQL includes client/server architecture, storage engine and query optimizer. 4) Basic usage includes creating databases and tables, and advanced usage involves joining tables using JOIN. 5) Common errors include syntax errors and permission issues, and debugging skills include checking syntax and using EXPLAIN commands. 6) Performance optimization involves the use of indexes, optimization of SQL statements and regular maintenance of databases.

MySQL is suitable for beginners to learn database skills. 1. Install MySQL server and client tools. 2. Understand basic SQL queries, such as SELECT. 3. Master data operations: create tables, insert, update, and delete data. 4. Learn advanced skills: subquery and window functions. 5. Debugging and optimization: Check syntax, use indexes, avoid SELECT*, and use LIMIT.

MySQL efficiently manages structured data through table structure and SQL query, and implements inter-table relationships through foreign keys. 1. Define the data format and type when creating a table. 2. Use foreign keys to establish relationships between tables. 3. Improve performance through indexing and query optimization. 4. Regularly backup and monitor databases to ensure data security and performance optimization.

MySQL is an open source relational database management system that is widely used in Web development. Its key features include: 1. Supports multiple storage engines, such as InnoDB and MyISAM, suitable for different scenarios; 2. Provides master-slave replication functions to facilitate load balancing and data backup; 3. Improve query efficiency through query optimization and index use.

SQL is used to interact with MySQL database to realize data addition, deletion, modification, inspection and database design. 1) SQL performs data operations through SELECT, INSERT, UPDATE, DELETE statements; 2) Use CREATE, ALTER, DROP statements for database design and management; 3) Complex queries and data analysis are implemented through SQL to improve business decision-making efficiency.

The basic operations of MySQL include creating databases, tables, and using SQL to perform CRUD operations on data. 1. Create a database: CREATEDATABASEmy_first_db; 2. Create a table: CREATETABLEbooks(idINTAUTO_INCREMENTPRIMARYKEY, titleVARCHAR(100)NOTNULL, authorVARCHAR(100)NOTNULL, published_yearINT); 3. Insert data: INSERTINTObooks(title, author, published_year)VA


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