今天在做一个问题排查的时候碰到了另外一个有些ldquo;奇怪的rdquo;问题。 我们在测试库中已经禁用了SGA自动存储管理,结果在spf
今天在做一个问题排查的时候碰到了另外一个有些“奇怪的”问题。
我们在测试库中已经禁用了SGA自动存储管理,结果在spfile文件里丢掉了shared_pool_size的配置
测试环境的参数类似下面的样子
sga_max_size big integer 12000M
sga_target big integer 0
shared_pool_size big integer 0
db_cache_size big integer 6G
pga_aggregate_target big integer 3147483648
这种配置应该是有问题的,把shared_pool_size的部分给丢掉了。结果查看当前测试库的情况,发现shared_pool多多少少的给了2G。
COMPONENT CURRENT_M MIN_M MAX_M SPECCIFIED_M LAST_OPER LAST_OPER_TYP GRANULE_M
------------------------------ ---------- ---------- ---------- ------------ --------- ------------- ----------
shared pool 2000 992 2000 2000 MANUAL GROW 16
large pool 304 304 512 304 DEFERRED SHRINK 16
java pool 512 512 512 304 STATIC 16
streams pool 0 0 0 0 STATIC 16
DEFAULT buffer cache 6224 6144 6352 6144 MANUAL SHRINK 16
KEEP buffer cache 0 0 0 0 STATIC 16
RECYCLE buffer cache 0 0 0 0 STATIC 16
DEFAULT 2K buffer cache 0 0 0 0 STATIC 16
DEFAULT 4K buffer cache 0 0 0 0 STATIC 16
DEFAULT 8K buffer cache 0 0 0 0 STATIC 16
DEFAULT 16K buffer cache 0 0 0 0 STATIC 16
DEFAULT 32K buffer cache 0 0 0 0 STATIC 16
Shared IO Pool 0 0 0 0 STATIC 16
如果问题到这里,可能就告一段落了。
但是我又认真看了一下,发现还是有问题。SGA有12G左右,分给shared_pool 2G,buffer_cache 6G,加上large_pool,java_pool的还不到9G,剩下的部分到哪去了?

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


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

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

MantisBT
Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.

Dreamweaver Mac version
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

PhpStorm Mac version
The latest (2018.2.1) professional PHP integrated development tool

WebStorm Mac version
Useful JavaScript development tools