Database
Redis
How to correctly set the configuration parameters of mongodb and redis development environment and production environmentHow to correctly set the configuration parameters of mongodb and redis development environment and production environment
When we write code, we usually develop it on our own computer first, and then deploy the code to the server. If a piece of code involves reading and writing a database, or accessing some other online service interfaces, then during development, in order not to affect the online environment, we usually separate the database in the test environment and the database in the online environment.
For example, our program needs to access MongoDB and Redis, so in the code, we may write like this:
import pymongo
import redis
handler = pymongo.MongoClient('mongodb://username:password@127.0.0.1:27017').db.col
client = redis.Redis(host='127.0.0.1', port=6379, password='xxxx')
When you want to deploy the program to the online environment, you manually change the MongoDB connection parameters and Redis connection parameters in the code to the parameters of the online environment. Then submit the code to Git, pull the latest code on the server and deploy it.
However, when you want to modify a new function and test it again, you need to modify these connection parameters to the parameters of the test environment and operate on your own computer. If you forget to modify and run directly, dirty data may be written to the online environment.
So, someone may use environment variables to control the parameters read, for example:
import os
import redis
import pymongo
if os.getenv('env', 'prod'): # 线上环境
MONGODB_URI = 'mongodb://username:password@xx.xx.xx.xx:27017'
REDIS_PARAMS = {'host': 'xx.xx.xx.xx', 'port': 6379, 'password': 'xxxx'}
else: # 测试环境
MONGODB_URI = 'mongodb://username:password@127.0.0.1:27017'
REDIS_PARAMS = {'host': '127.0.0.1', 'port': 6379, 'password': 'xxxx'}
handler = pymongo.MongoClient(MONGODB_URI).db.col
client = redis.Redis(**REDIS_PARAMS)
In this way, you don’t need to manually modify the connection parameters of the database. Just set the environment variable env of the online environment to prod, and then the program will be deployed to the online environment. It automatically uses the parameters of the online database. As long as the environment variable env is not prod elsewhere, such as on your computer, or the environment variable simply does not exist, the parameters of the development environment will be automatically used.
Doing this does avoid problems caused by forgetting to modify parameters, but there is another problem: if other people also have access to this Git source, then they will know how to connect to the database in the online environment. They even manipulate data in the online environment without authorization, causing security risks or privacy leaks.
In order to be more secure, you can use a special file to store the configuration parameters, and the program reads the parameters from the file. The online environment file contains online parameters, and the development environment file contains development parameters. This configuration file is not uploaded to Git.
For example, we create a config.json file whose content is:
{
"MONGODB_URI": "mongodb://username:password@127.0.0.1:27017",
"REDIS_PARAMS": {"host": "127.0.0.1", "port": 6379, "password": "xxxx"}
}
Then our code is modified like this:
import os
import json
import redis
import pymongo
CONFIG_PATH = '/etc/config/config.json'
if not os.path.exists(CONFIG_PATH):
print('配置文件不存在,自动使用测试环境参数!')
MONGODB_URI = 'mongodb://username:password@127.0.0.1:27017'
REDIS_PARAMS = {'host': '127.0.0.1', 'port': 6379, 'password': 'xxxx'}
else:
with open(CONFIG_PATH, encoding='utf-8') as f:
config = json.load(f)
MONGODB_URI = config['MONGODB_URI']
REDIS_PARAMS = config["REDIS_PARAMS"]
handler = pymongo.MongoClient(MONGODB_URI).db.col
client = redis.Redis(**REDIS_PARAMS)The above is the detailed content of How to correctly set the configuration parameters of mongodb and redis development environment and production environment. For more information, please follow other related articles on the PHP Chinese website!
Redis: Exploring Its Data Model and StructureApr 16, 2025 am 12:09 AMRedis's data model and structure include five main types: 1. String: used to store text or binary data, and supports atomic operations. 2. List: Ordered elements collection, suitable for queues and stacks. 3. Set: Unordered unique elements set, supporting set operation. 4. Ordered Set (SortedSet): A unique set of elements with scores, suitable for rankings. 5. Hash table (Hash): a collection of key-value pairs, suitable for storing objects.
Redis: Classifying Its Database ApproachApr 15, 2025 am 12:06 AMRedis's database methods include in-memory databases and key-value storage. 1) Redis stores data in memory, and reads and writes fast. 2) It uses key-value pairs to store data, supports complex data structures such as lists, collections, hash tables and ordered collections, suitable for caches and NoSQL databases.
Why Use Redis? Benefits and AdvantagesApr 14, 2025 am 12:07 AMRedis is a powerful database solution because it provides fast performance, rich data structures, high availability and scalability, persistence capabilities, and a wide range of ecosystem support. 1) Extremely fast performance: Redis's data is stored in memory and has extremely fast read and write speeds, suitable for high concurrency and low latency applications. 2) Rich data structure: supports multiple data types, such as lists, collections, etc., which are suitable for a variety of scenarios. 3) High availability and scalability: supports master-slave replication and cluster mode to achieve high availability and horizontal scalability. 4) Persistence and data security: Data persistence is achieved through RDB and AOF to ensure data integrity and reliability. 5) Wide ecosystem and community support: with a huge ecosystem and active community,
Understanding NoSQL: Key Features of RedisApr 13, 2025 am 12:17 AMKey features of Redis include speed, flexibility and rich data structure support. 1) Speed: Redis is an in-memory database, and read and write operations are almost instantaneous, suitable for cache and session management. 2) Flexibility: Supports multiple data structures, such as strings, lists, collections, etc., which are suitable for complex data processing. 3) Data structure support: provides strings, lists, collections, hash tables, etc., which are suitable for different business needs.
Redis: Identifying Its Primary FunctionApr 12, 2025 am 12:01 AMThe core function of Redis is a high-performance in-memory data storage and processing system. 1) High-speed data access: Redis stores data in memory and provides microsecond-level read and write speed. 2) Rich data structure: supports strings, lists, collections, etc., and adapts to a variety of application scenarios. 3) Persistence: Persist data to disk through RDB and AOF. 4) Publish subscription: Can be used in message queues or real-time communication systems.
Redis: A Guide to Popular Data StructuresApr 11, 2025 am 12:04 AMRedis supports a variety of data structures, including: 1. String, suitable for storing single-value data; 2. List, suitable for queues and stacks; 3. Set, used for storing non-duplicate data; 4. Ordered Set, suitable for ranking lists and priority queues; 5. Hash table, suitable for storing object or structured data.
How to implement redis counterApr 10, 2025 pm 10:21 PMRedis counter is a mechanism that uses Redis key-value pair storage to implement counting operations, including the following steps: creating counter keys, increasing counts, decreasing counts, resetting counts, and obtaining counts. The advantages of Redis counters include fast speed, high concurrency, durability and simplicity and ease of use. It can be used in scenarios such as user access counting, real-time metric tracking, game scores and rankings, and order processing counting.
How to use the redis command lineApr 10, 2025 pm 10:18 PMUse the Redis command line tool (redis-cli) to manage and operate Redis through the following steps: Connect to the server, specify the address and port. Send commands to the server using the command name and parameters. Use the HELP command to view help information for a specific command. Use the QUIT command to exit the command line tool.


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

mPDF
mPDF is a PHP library that can generate PDF files from UTF-8 encoded HTML. The original author, Ian Back, wrote mPDF to output PDF files "on the fly" from his website and handle different languages. It is slower than original scripts like HTML2FPDF and produces larger files when using Unicode fonts, but supports CSS styles etc. and has a lot of enhancements. Supports almost all languages, including RTL (Arabic and Hebrew) and CJK (Chinese, Japanese and Korean). Supports nested block-level elements (such as P, DIV),

SAP NetWeaver Server Adapter for Eclipse
Integrate Eclipse with SAP NetWeaver application server.

WebStorm Mac version
Useful JavaScript development tools

MinGW - Minimalist GNU for Windows
This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.

VSCode Windows 64-bit Download
A free and powerful IDE editor launched by Microsoft





