a little riak book 的无聊总结 pre name=code class=python#!/bin/bash# Riak HTTP interface stays true to their intent: 1xx Informational, 2xx Success,# 3xx Further Action, 4xx Client Error, 5xx Server Error### putPORT=10018url=http://localhos
a little riak book 的无聊总结<pre name="code" class="python">#!/bin/bash # Riak HTTP interface stays true to their intent: 1xx Informational, 2xx Success, # 3xx Further Action, 4xx Client Error, 5xx Server Error ### put PORT=10018 url=http://localhost:$PORT/riak case $1 in -1 ) echo "Nothing" ;; ## put 1 ) curl -v -X PUT $curl/food/favorite \ -H 'Content-Type: text/plain' \ -d 'pizza' ;; ## get 2 ) curl -i -v -X GET $url/food/favorite ;; ## POST --> with POST a key is optional, All it require is a bucket name , and ## it will generate a key you 3 ) curl -i -X POST $url/people \ -H 'Content-Type: application/json' \ -d '{"name": "aaron"}' ;; ## for any kind of write, you can add the returnbody=true parameter to force a value return, ## 和值相关的头, 如X-Riak-Vclock, ETa这些都会被返回. ## post 也支持returnbody, get 会自动返回body,body才是内容,okey 4 ) curl -i -X POST $url/people \ -H 'Content-Type: application/json' \ -d '{"name": "billy"}' ;; ## Delete: ## 1 . 删除一个已经被删除的对象在Riak中会被表示为deleted,可以打一个 tombstone 标签。然后, ## 一个死神进程会被调用,这个进程会以后台的方式清理掉这些marked objs(可能的话,死神进程因该 ## 关掉), ## 2. 有两点需注意: ## A) 在Riak中,删除的操作与属于一个写的操作,在计算读写比率时候,也因该这样考虑 ## B) 检查一个存在的key并不能说明他对应的对象是否存在,因为你可能读到的key可能是在'删除和 ## 备份的期间',所以你必须要读到 tombstones为止,才能说明一个key已被删除了 5 ) curl -i -X POST $url/people/test \ -H 'Content-Type: application/json' \ -d '{"name": "billy"}' echo "==========" curl -i $url/people/test?returnbody=true echo "-----------" curl -i -X DELETE $url/people/test ;; ## Lists -> Riak有两种不同lists,第一种列出集群中的所有buckets,第二种会根据指定的buckets列出所有的key,调用的方式相似,都是传入两个参数 6 ) curl -i $url?buckets=true echo "" echo "===================" curl -i $url/food?keys=true echo "" echo "-------------------" ;; ## Lists 也可以流的方式传输 7 ) curl -v $url/food?list=stream ;; esac

InnoDBBufferPool reduces disk I/O by caching data and indexing pages, improving database performance. Its working principle includes: 1. Data reading: Read data from BufferPool; 2. Data writing: After modifying the data, write to BufferPool and refresh it to disk regularly; 3. Cache management: Use the LRU algorithm to manage cache pages; 4. Reading mechanism: Load adjacent data pages in advance. By sizing the BufferPool and using multiple instances, database performance can be optimized.

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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