alert日志遇到 ORA-04030 的分析
该客户的数据库是Oracle 11.1.0.7,运行在p550主机上,16个逻辑CPU,16G内存,AIX 6.1 64位系统,共分配了8G内存给SGA,2G内存给
昨天去一客户那里做巡检,遇到了经典的ora-04030错误,alert日志如下:
Tue Oct 28 09:57:46 2014
Errors in file /Oracle/app/oracle/diag/rdbms/wmsdb/wmsdb/trace/wmsdb_ora_33358038.trc (incident=177302):
ORA-04030: out of process memory when trying to allocate 118808 bytes (QERHJ hash-joi,kllcqas:kllsltba)
Incident details in: /oracle/app/oracle/diag/rdbms/wmsdb/wmsdb/incident/incdir_177302/wmsdb_ora_33358038_i177302.trc
Errors in file /oracle/app/oracle/diag/rdbms/wmsdb/wmsdb/trace/wmsdb_ora_33358038.trc (incident=177303):
ORA-04030: out of process memory when trying to allocate 169040 bytes (pga heap,kgh stack)
ORA-04030: out of process memory when trying to allocate 118808 bytes (QERHJ hash-joi,kllcqas:kllsltba)
Incident details in: /oracle/app/oracle/diag/rdbms/wmsdb/wmsdb/incident/incdir_177303/wmsdb_ora_33358038_i177303.trc
Errors in file /oracle/app/oracle/diag/rdbms/wmsdb/wmsdb/incident/incdir_177302/wmsdb_ora_33358038_i177302.trc:
ORA-04030: out of process memory when trying to allocate 169040 bytes (pga heap,kgh stack)
ORA-04030: out of process memory when trying to allocate 118808 bytes (QERHJ hash-joi,kllcqas:kllsltba)
Errors in file /oracle/app/oracle/diag/rdbms/wmsdb/wmsdb/trace/wmsdb_ora_33358038.trc (incident=177304):
ORA-04030: out of process memory when trying to allocate 160 bytes (pga heap,control file cache)
ORA-04030: out of process memory when trying to allocate 118808 bytes (QERHJ hash-joi,kllcqas:kllsltba)
Incident details in: /oracle/app/oracle/diag/rdbms/wmsdb/wmsdb/incident/incdir_177304/wmsdb_ora_33358038_i177304.trc
Tue Oct 28 09:57:53 2014
Trace dumping is performing id=[cdmp_20141028095753]
Tue Oct 28 09:57:54 2014
Sweep Incident[177303]: completed
Tue Oct 28 09:57:57 2014
Errors in file /oracle/app/oracle/diag/rdbms/wmsdb/wmsdb/incident/incdir_177302/wmsdb_ora_33358038_i177302.trc:
ORA-04030: out of process memory when trying to allocate 160 bytes (pga heap,control file cache)
ORA-04030: out of process memory when trying to allocate 118808 bytes (QERHJ hash-joi,kllcqas:kllsltba)
Errors in file /oracle/app/oracle/diag/rdbms/wmsdb/wmsdb/trace/wmsdb_ora_33358038.trc (incident=177305):
ORA-04030: out of process memory when trying to allocate 16776728 bytes (QERHJ hash-joi,QERHJ Hash Table Entries)
Incident details in: /oracle/app/oracle/diag/rdbms/wmsdb/wmsdb/incident/incdir_177305/wmsdb_ora_33358038_i177305.trc
Trace dumping is performing id=[cdmp_20141028095802]
......
该客户的数据库是Oracle 11.1.0.7,运行在p550主机上,16个逻辑CPU,16G内存,AIX 6.1 64位系统,共分配了8G内存给SGA,2G内存给PGA,由memory_target=10G参数动态调整,同时,memory_max_target也设置成10G,表示Oracle最多可以占用OS的内存为10G(物理内存的62.5%)。这2个参数是11g新增的,可以动态分配SGA和PGA,而在10g中仅只能通过设置sga_target来动态管理sga中的各内存组件,pga是要另外手动设置的。
SQL> show parameters target
NAME TYPE VALUE
------------------------------------ ---------------------- ------------------------------
archive_lag_target integer 0
db_flashback_retention_target integer 1440
fast_start_io_target integer 0
fast_start_mttr_target integer 0
memory_max_target big integer 10G
memory_target big integer 10G
pga_aggregate_target big integer 2G
sga_target big integer 8G
网上google了一下,很多关于ora-04030的错误的描述都大同小异,主要由以下几种:
A. 对于32 BIT系统,有SGA 1.7G限制
B. 某些OS系统本身也有一些内存参数限制
C. OS系统本身物理内存+Swap的限制
对于A,由于系统是64 bit的,没有1.7G的限制;
对于B,用ulimit查看的结果为ulimited;
对于C,,OS本身的内存为16G,不过用topas查看,内存使用率已经为90%

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

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

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

Hot Topics











The main role of MySQL in web applications is to store and manage data. 1.MySQL efficiently processes user information, product catalogs, transaction records and other data. 2. Through SQL query, developers can extract information from the database to generate dynamic content. 3.MySQL works based on the client-server model to ensure acceptable query speed.

InnoDB uses redologs and undologs to ensure data consistency and reliability. 1.redologs record data page modification to ensure crash recovery and transaction persistence. 2.undologs records the original data value and supports transaction rollback and MVCC.

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.

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

MySQL is suitable for web applications and content management systems and is popular for its open source, high performance and ease of use. 1) Compared with PostgreSQL, MySQL performs better in simple queries and high concurrent read operations. 2) Compared with Oracle, MySQL is more popular among small and medium-sized enterprises because of its open source and low cost. 3) Compared with Microsoft SQL Server, MySQL is more suitable for cross-platform applications. 4) Unlike MongoDB, MySQL is more suitable for structured data and transaction processing.

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.

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 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.
