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What are the common databases in python?

Jun 12, 2019 am 11:11 AM
python database

What are the common databases in python? Databases are roughly divided into two categories. The first category includes relational databases, and the second category is non-relational databases. The following is an introduction to the relevant knowledge of these two types of databases.

Including relational databases: sqlite, mysql, mssql

Non-relational databases: MongoDB, Redis

What are the common databases in python?

1. Connect to Sqlite

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import sqlite3

import traceback

try:

    # 如果表不存在,就创建

    with sqlite3.connect('test.db') as conn:

        print("Opened database successfully")

        # 删除表

        conn.execute("DROP TABLE IF EXISTS  COMPANY")

        # 创建表

        sql = """

                 CREATE TABLE IF NOT EXISTS COMPANY

               (ID INTEGER  PRIMARY KEY       AUTOINCREMENT,

               NAME           TEXT    NOT NULL,

               AGE            INT     NOT NULL,

               ADDRESS        CHAR(50),

               SALARY         REAL);

        """

        conn.execute(sql)

        print("create table successfully")

        # 添加数据

        conn.executemany("INSERT INTO COMPANY (NAME,AGE,ADDRESS,SALARY) VALUES (?, ?, ?, ? )",

                         [('Paul', 32, 'California', 20000.00),

                          ('Allen', 25, 'Texas', 15000.00),

                          ('Teddy', 23, 'Norway', 20000.00),

                          ('Mark', 25, 'Rich-Mond ', 65000.00),

                          ('David', 27, 'Texas', 85000.00),

                          ('Kim', 22, 'South-Hall', 45000.00),

                          ('James', 24, 'Houston', 10000.00)])

        # conn.execute("INSERT INTO COMPANY (NAME,AGE,ADDRESS,SALARY)\

        # VALUES ( 'Paul', 32, 'California', 20000.00 )")

        #

        # conn.execute("INSERT INTO COMPANY (NAME,AGE,ADDRESS,SALARY)\

        # VALUES ('Allen', 25, 'Texas', 15000.00 )")

        #

        # conn.execute("INSERT INTO COMPANY (NAME,AGE,ADDRESS,SALARY)\

        # VALUES ('Teddy', 23, 'Norway', 20000.00 )")

        #

        # conn.execute("INSERT INTO COMPANY (NAME,AGE,ADDRESS,SALARY)\

        # VALUES ( 'Mark', 25, 'Rich-Mond ', 65000.00 )")

        #

        # conn.execute("INSERT INTO COMPANY (NAME,AGE,ADDRESS,SALARY)\

        # VALUES ( 'David', 27, 'Texas', 85000.00 )");

        #

        # conn.execute("INSERT INTO COMPANY (NAME,AGE,ADDRESS,SALARY)\

        # VALUES ( 'Kim', 22, 'South-Hall', 45000.00 )")

        #

        # conn.execute("INSERT INTO COMPANY (NAME,AGE,ADDRESS,SALARY)\

        # VALUES ( 'James', 24, 'Houston', 10000.00 )")

        # 提交,否则重新运行程序时,表中无数据

        conn.commit()

        print("insert successfully")

        # 查询表

        sql = """

            select id,NAME,AGE,ADDRESS,SALARY FROM COMPANY

         """

        result = conn.execute(sql)

        for row in result:

            print("-" * 50)  # 输出50个-,作为分界线

            print("%-10s %s" % ("id", row[0]))  # 字段名固定10位宽度,并且左对齐

            print("%-10s %s" % ("name", row[1]))

            print("%-10s %s" % ("age", row[2]))

            print("%-10s %s" % ("address", row[3]))

            print("%-10s %.2f" % ("salary", row[4]))

            # or

            # print('{:10s} {:.2f}'.format("salary", row[4]))

except sqlite3.Error as e:

    print("sqlite3 Error:", e)

    traceback.print_exc()

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2. Connect mysql

Related recommendations: "python video tutorial"

2.2 Using MySQLdb

2.1 Using _mysql in the mysqldb library

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import MySQLdb

from contextlib import closing

import traceback

try:

    # 获取一个数据库连接

    with closing(MySQLdb.connect(host='localhost', user='root', passwd='root', db='test', port=3306,charset='utf8')) as conn:

        print("connect database successfully")

        with closing(conn.cursor()) as cur:

            # 删除表

            cur.execute("DROP TABLE IF EXISTS  COMPANY")

            # 创建表

            sql = """

                     CREATE TABLE IF NOT EXISTS COMPANY

                   (ID INTEGER  PRIMARY KEY NOT NULL  auto_increment,

                   NAME           TEXT    NOT NULL,

                   AGE            INT     NOT NULL,

                   ADDRESS        CHAR(50),

                   SALARY         REAL);

            """

            cur.execute(sql)

            print("create table successfully")

            # 添加数据

            # 在一个conn.execute里面里面执行多个sql语句是非法的

            cur.executemany("INSERT INTO COMPANY (NAME,AGE,ADDRESS,SALARY) VALUES ( %s, %s, %s, %s )",

                            [('Paul', 32, 'California', 20000.00),

                             ('Allen', 25, 'Texas', 15000.00),

                             ('Teddy', 23, 'Norway', 20000.00),

                             ('Mark', 25, 'Rich-Mond ', 65000.00),

                             ('David', 27, 'Texas', 85000.00),

                             ('Kim', 22, 'South-Hall', 45000.00),

                             ('James', 24, 'Houston', 10000.00)])

            # 提交,否则重新运行程序时,表中无数据

            conn.commit()

            print("insert successfully")

            # 查询表

            sql = """

                select id,NAME,AGE,ADDRESS,SALARY FROM COMPANY

             """

            cur.execute(sql)

            for row in cur.fetchall():

                print("-" * 50)  # 输出50个-,作为分界线

                print("%-10s %s" % ("id", row[0]))  # 字段名固定10位宽度,并且左对齐

                print("%-10s %s" % ("name", row[1]))

                print("%-10s %s" % ("age", row[2]))

                print("%-10s %s" % ("address", row[3]))

                print("%-10s %s" % ("salary", row[4]))

except MySQLdb.Error as e:

    print("Mysql Error:", e)

    traceback.print_exc()  # 打印错误栈信息

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2.2 Using MySQLdb

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import MySQLdb

from contextlib import closing

import traceback

try:

    # 获取一个数据库连接

    with closing(MySQLdb.connect(host='localhost', user='root', passwd='root', db='test', port=3306,charset='utf8')) as conn:

        print("connect database successfully")

        with closing(conn.cursor()) as cur:

            # 删除表

            cur.execute("DROP TABLE IF EXISTS  COMPANY")

            # 创建表

            sql = """

                     CREATE TABLE IF NOT EXISTS COMPANY

                   (ID INTEGER  PRIMARY KEY NOT NULL  auto_increment,

                   NAME           TEXT    NOT NULL,

                   AGE            INT     NOT NULL,

                   ADDRESS        CHAR(50),

                   SALARY         REAL);

            """

            cur.execute(sql)

            print("create table successfully")

            # 添加数据

            # 在一个conn.execute里面里面执行多个sql语句是非法的

            cur.executemany("INSERT INTO COMPANY (NAME,AGE,ADDRESS,SALARY) VALUES ( %s, %s, %s, %s )",

                            [('Paul', 32, 'California', 20000.00),

                             ('Allen', 25, 'Texas', 15000.00),

                             ('Teddy', 23, 'Norway', 20000.00),

                             ('Mark', 25, 'Rich-Mond ', 65000.00),

                             ('David', 27, 'Texas', 85000.00),

                             ('Kim', 22, 'South-Hall', 45000.00),

                             ('James', 24, 'Houston', 10000.00)])

            # 提交,否则重新运行程序时,表中无数据

            conn.commit()

            print("insert successfully")

            # 查询表

            sql = """

                select id,NAME,AGE,ADDRESS,SALARY FROM COMPANY

             """

            cur.execute(sql)

            for row in cur.fetchall():

                print("-" * 50)  # 输出50个-,作为分界线

                print("%-10s %s" % ("id", row[0]))  # 字段名固定10位宽度,并且左对齐

                print("%-10s %s" % ("name", row[1]))

                print("%-10s %s" % ("age", row[2]))

                print("%-10s %s" % ("address", row[3]))

                print("%-10s %s" % ("salary", row[4]))

except MySQLdb.Error as e:

    print("Mysql Error:", e)

    traceback.print_exc()  # 打印错误栈信息

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2.3 Use pymysql

Section 2.1 and 2.2 use MySQLdb, which does not support Python3.x
pymysql has better support for Python2.x and Python3.x

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import pymysql

from contextlib import closing

import traceback

try:

    # 获取一个数据库连接,with关键字 表示退出时,conn自动关闭

    # with 嵌套上一层的with 要使用closing()

    with closing(pymysql.connect(host='localhost', user='root', passwd='root', db='test', port=3306,

                                 charset='utf8')) as conn:

        print("connect database successfully")

        # 获取游标,with关键字 表示退出时,cur自动关闭

        with conn.cursor() as cur:

            # 删除表

            cur.execute("DROP TABLE IF EXISTS  COMPANY")

            # 创建表

            sql = """

                     CREATE TABLE IF NOT EXISTS COMPANY

                   (ID INTEGER  PRIMARY KEY NOT NULL  auto_increment,

                   NAME           TEXT    NOT NULL,

                   AGE            INT     NOT NULL,

                   ADDRESS        CHAR(50),

                   SALARY         REAL);

            """

            cur.execute(sql)

            print("create table successfully")

            # 添加数据

            # 在一个conn.execute里面里面执行多个sql语句是非法的

            cur.executemany("INSERT INTO COMPANY (NAME,AGE,ADDRESS,SALARY) VALUES ( %s, %s, %s, %s )",

                            [('Paul', 32, 'California', 20000.00),

                             ('Allen', 25, 'Texas', 15000.00),

                             ('Teddy', 23, 'Norway', 20000.00),

                             ('Mark', 25, 'Rich-Mond ', 65000.00),

                             ('David', 27, 'Texas', 85000.00),

                             ('Kim', 22, 'South-Hall', 45000.00),

                             ('James', 24, 'Houston', 10000.00)])

            # 提交,否则重新运行程序时,表中无数据

            conn.commit()

            print("insert successfully")

            # 查询表

            sql = """

                select id,NAME,AGE,ADDRESS,SALARY FROM COMPANY

             """

            cur.execute(sql)

            for row in cur.fetchall():

                print("-" * 50)  # 输出50个-,作为分界线

                print("%-10s %s" % ("id", row[0]))  # 字段名固定10位宽度,并且左对齐

                print("%-10s %s" % ("name", row[1]))

                print("%-10s %s" % ("age", row[2]))

                print("%-10s %s" % ("address", row[3]))

                print("%-10s %s" % ("salary", row[4]))

except pymysql.Error as e:

    print("Mysql Error:", e)

    traceback.print_exc()

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3.Connect to mssql

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import pymssql

from contextlib import closing

try:

    # 先要保证数据库中有test数据库

    # 获取一个数据库连接,with关键字 表示退出时,conn自动关闭

    # with 嵌套上一层的with 要使用closing()

    with closing(pymssql.connect(host='192.168.100.114', user='sa', password='sa12345', database='test', port=1433,

                                 charset='utf8')) as conn:

        print("connect database successfully")

        # 获取游标,with关键字 表示退出时,cur自动关闭

        with conn.cursor() as cur:

            # 删除表

            cur.execute(

                    '''if exists (select 1 from  sys.objects where name='COMPANY' and  type='U')  drop table COMPANY''')

            # 创建表

            sql = """

                     CREATE TABLE  COMPANY

                   (ID INT  IDENTITY(1,1) PRIMARY KEY NOT NULL ,

                   NAME           TEXT    NOT NULL,

                   AGE            INT     NOT NULL,

                   ADDRESS        CHAR(50),

                   SALARY         REAL);

            """

            cur.execute(sql)

            print("create table successfully")

            # 添加数据

            # 在一个conn.execute里面里面执行多个sql语句是非法的

            cur.executemany("INSERT INTO COMPANY (NAME,AGE,ADDRESS,SALARY) VALUES ( %s, %s, %s, %s )",

                            [('Paul', 32, 'California', 20000.00),

                             ('Allen', 25, 'Texas', 15000.00),

                             ('Teddy', 23, 'Norway', 20000.00),

                             ('Mark', 25, 'Rich-Mond', 65000.00),

                             ('David', 27, 'Texas', 85000.00),

                             ('Kim', 22, 'South-Hall', 45000.00),

                             ('James', 24, 'Houston', 10000.00)])

            # 提交,否则重新运行程序时,表中无数据

            conn.commit()

            print("insert successfully")

            # 查询表

            sql = """

                select id,NAME,AGE,ADDRESS,SALARY FROM COMPANY

             """

            cur.execute(sql)

            for row in cur.fetchall():

                print("-" * 50)  # 输出50个-,作为分界线

                print("%-10s %s" % ("id", row[0]))  # 字段名固定10位宽度,并且左对齐

                print("%-10s %s" % ("name", row[1]))

                print("%-10s %s" % ("age", row[2]))

                print("%-10s %s" % ("address", row[3]))

                print("%-10s %s" % ("salary", row[4]))

except pymssql.Error as e:

    print("mssql Error:", e)

    # traceback.print_exc()

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4.Connect to MongoDB

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import pymongo

from pymongo.mongo_client import MongoClient

import pymongo.errors

import traceback

try:

    # 连接到 mongodb 服务

    mongoClient = MongoClient('localhost', 27017)

    # 连接到数据库

    mongoDatabase = mongoClient.test

    print("connect database successfully")

    # 获取集合

    mongoCollection = mongoDatabase.COMPANY

    # 移除所有数据

    mongoCollection.remove()

    # 添加数据

    mongoCollection.insert_many([{"Name": "Paul", "Age": "32", "Address": "California", "Salary": "20000.00"},

                                 {"Name": "Allen", "Age": "25", "Address": "Texas", "Salary": "15000.00"},

                                 {"Name": "Teddy", "Age": "23", "Address": "Norway", "Salary": "20000.00"},

                                 {"Name": "Mark", "Age": "25", "Address": "Rich-Mond", "Salary": "65000.00"},

                                 {"Name": "David", "Age": "27", "Address": "Texas", "Salary": "85000.00"},

                                 {"Name": "Kim", "Age": "22", "Address": "South-Hall", "Salary": "45000.00"},

                                 {"Name": "James", "Age": "24", "Address": "Houston", "Salary": "10000.00"}, ])

    #获取集合中的值

    for row in mongoCollection.find():

        print("-" * 50)  # 输出50个-,作为分界线

        print("%-10s %s" % ("_id", row['_id']))  # 字段名固定10位宽度,并且左对齐

        print("%-10s %s" % ("name", row['Name']))

        print("%-10s %s" % ("age", row['Age']))

        print("%-10s %s" % ("address", row['Address']))

        print("%-10s %s" % ("salary", row['Salary']))

    print('\n\n\n')

    # 使id自增

    mongoCollection.remove()

    # 创建计数表

    mongoDatabase.counters.save({"_id": "people_id", "sequence_value": 0})

    # 创建存储过程

    mongoDatabase.system_js.getSequenceValue = '''function getSequenceValue(sequenceName){

            var sequenceDocument = db.counters.findAndModify({

                query: {_id: sequenceName},

                update: {$inc:{sequence_value: 1}},

                new:true

            });

            return sequenceDocument.sequence_value;

        }'''

    mongoCollection.insert_many(

            [{"_id": mongoDatabase.eval("getSequenceValue('people_id')"), "Name": "Paul", "Age": "32",

              "Address": "California", "Salary": "20000.00"},

             {"_id": mongoDatabase.eval("getSequenceValue('people_id')"), "Name": "Allen", "Age": "25",

              "Address": "Texas", "Salary": "15000.00"},

             {"_id": mongoDatabase.eval("getSequenceValue('people_id')"), "Name": "Teddy", "Age": "23",

              "Address": "Norway", "Salary": "20000.00"},

             {"_id": mongoDatabase.eval("getSequenceValue('people_id')"), "Name": "Mark", "Age": "25",

              "Address": "Rich-Mond", "Salary": "65000.00"},

             {"_id": mongoDatabase.eval("getSequenceValue('people_id')"), "Name": "David", "Age": "27",

              "Address": "Texas", "Salary": "85000.00"},

             {"_id": mongoDatabase.eval("getSequenceValue('people_id')"), "Name": "Kim", "Age": "22",

              "Address": "South-Hall", "Salary": "45000.00"},

             {"_id": mongoDatabase.eval("getSequenceValue('people_id')"), "Name": "James", "Age": "24",

              "Address": "Houston", "Salary": "10000.00"}, ])

    for row in mongoCollection.find():

        print("-" * 50)  # 输出50个-,作为分界线

        print("%-10s %s" % ("_id", int(row['_id'])))  # 字段名固定10位宽度,并且左对齐

        print("%-10s %s" % ("name", row['Name']))

        print("%-10s %s" % ("age", row['Age']))

        print("%-10s %s" % ("address", row['Address']))

        print("%-10s %s" % ("salary", row['Salary']))

except pymongo.errors.PyMongoError as e:

    print("mongo Error:", e)

    traceback.print_exc()

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5.Connect to Redis

5.1Using redis

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import redis

r = redis.Redis(host='localhost', port=6379, db=0, password="12345")

print("connect", r.ping())

# 看信息

info = r.info()

# or 查看部分信息

# info = r.info("Server")

# 输出信息

items = info.items()

for i, (key, value) in enumerate(items):

    print("item %s----%s:%s" % (i, key, value))

# 删除键和对应的值

r.delete("company")

# 可以一次性push一条或多条数据

r.rpush("company", {"id": 1, "Name": "Paul", "Age": "32", "Address": "California", "Salary": "20000.00"},

        {"id": 2, "Name": "Allen", "Age": "25", "Address": "Texas", "Salary": "15000.00"},

        {"id": 3, "Name": "Teddy", "Age": "23", "Address": "Norway", "Salary": "20000.00"})

r.rpush("company", {"id": 4, "Name": "Mark", "Age": "25", "Address": "Rich-Mond", "Salary": "65000.00"})

r.rpush("company", {"id": 5, "Name": "David", "Age": "27", "Address": "Texas", "Salary": "85000.00"})

r.rpush("company", {"id": 6, "Name": "Kim", "Age": "22", "Address": "South-Hall", "Salary": "45000.00"})

r.rpush("company", {"id": 7, "Name": "James", "Age": "24", "Address": "Houston", "Salary": "10000.00"})

# eval用来将dict格式的字符串转换成dict

for row in map(lambda x: eval(x), r.lrange("company", 0, r.llen("company"))):

    print("-" * 50)  # 输出50个-,作为分界线

    print("%-10s %s" % ("_id", row['id']))  # 字段名固定10位宽度,并且左对齐

    print("%-10s %s" % ("name", row['Name']))

    print("%-10s %s" % ("age", row['Age']))

    print("%-10s %s" % ("address", row['Address']))

    print("%-10s %s" % ("salary", row['Salary']))

# 关闭当前连接

# r.shutdown() #这个是关闭redis服务端

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5.2Using pyredis

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import pyredis

r = pyredis.Client(host='localhost', port=6379, database=0, password="12345")

print("connect", r.ping().decode("utf-8"))

# 看信息

# info = r.execute("info").decode()

# or 查看部分信息

info = r.execute("info", "Server").decode()

# 输出信息

print(info)

# 删除键和对应的值

r.delete("company")

# 可以一次性push一条或多条数据

r.rpush("company", '''{"id": 1, "Name": "Paul", "Age": "32", "Address": "California", "Salary": "20000.00"}''',

        '''{"id": 2, "Name": "Allen", "Age": "25", "Address": "Texas", "Salary": "15000.00"}''',

        '''{"id": 3, "Name": "Teddy", "Age": "23", "Address": "Norway", "Salary": "20000.00"}''')

r.rpush("company", '''{"id": 4, "Name": "Mark", "Age": "25", "Address": "Rich-Mond", "Salary": "65000.00"}''')

r.rpush("company", '''{"id": 5, "Name": "David", "Age": "27", "Address": "Texas", "Salary": "85000.00"}''')

r.rpush("company", '''{"id": 6, "Name": "Kim", "Age": "22", "Address": "South-Hall", "Salary": "45000.00"}''')

r.rpush("company", '''{"id": 7, "Name": "James", "Age": "24", "Address": "Houston", "Salary": "10000.00"}''')

# eval用来将dict格式的字符串转换成dict

for row in map(lambda x: eval(x), r.lrange("company", 0, r.llen("company"))):

    print("-" * 50)  # 输出50个-,作为分界线

    print("%-10s %s" % ("_id", row['id']))  # 字段名固定10位宽度,并且左对齐

    print("%-10s %s" % ("name", row['Name']))

    print("%-10s %s" % ("age", row['Age']))

    print("%-10s %s" % ("address", row['Address']))

    print("%-10s %s" % ("salary", row['Salary']))

# 关闭当前连接

r.close()

Copy after login

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