偶然发现自己的DB2测试环境无法使用,打开老是报错,之前一直以为是db2audit报错
偶然发现自己的DB2测试环境无法使用,打开老是报错,之前一直以为是db2audit报错
DB2数据库性能调整和优化(第1、2版) PDF
DB2数据库性能优化介绍
DB2 9.7 for Linux 5.4安装详细步骤
2013-12-19-23.19.10.388418+480 E829168G1400 LEVEL: Event
PID : 6743 TID : 3054496656 PROC : db2syscr
INSTANCE: db2inst1 NODE : 000
FUNCTION: DB2 UDB, base sys utilities, DB2main, probe:1
START : DB2 DBM
DATA #1 : Build Level, 128 bytes
Instance "db2inst1" uses "32" bits and DB2 code release "SQL09075"
with level identifier "08060107".
Informational tokens are "DB2 v9.7.0.5", "s111017", "IP23291", Fix Pack "5".
DATA #2 : System Info, 436 bytes
System: Linux marven 6 2 i686
CPU: total:1 online:1 Cores per socket:1 Threading degree per core:1
Physical Memory(MB): total:1011 free:161
Virtual Memory(MB): total:3059 free:2209
Swap Memory(MB): total:2048 free:2048
Kernel Params: msgMaxMessageSize:65536 msgMsgMap:65536 msgMaxQueueIDs:1024
msgNumberOfHeaders:65536 msgMaxQueueSize:65536
msgMaxSegmentSize:16 shmMax:1059983360 shmMin:1 shmIDs:4096
shmSegments:4096 semMap:256000 semIDs:1024 semNum:256000
semUndo:256000 semNumPerID:250 semOps:32 semUndoSize:20
semMaxVal:32767 semAdjustOnExit:32767
Cur cpu time limit (seconds) = 0xFFFFFFFF
Cur file size limit (bytes) = 0xFFFFFFFF
Cur data size (bytes) = 0xFFFFFFFF
Cur stack size (bytes) = 0x00A00000
Cur core size (bytes) = 0x00000000
Cur memory size (bytes) = 0xFFFFFFFF
nofiles (descriptors) = 0x00000800
2013-12-19-21.35.24.548881+480 I1899G343 LEVEL: Error
PID : 5979 TID : 3050367200 PROC : db2set
INSTANCE: db2inst1 NODE : 000
FUNCTION: DB2 UDB, bsu security, sqlexAuditGetNodeNum, probe:13176
MESSAGE : ZRC=0x070F00B8=118423736=SQLO_NOT_FOUND
"Environment/registry variable was not found."
2013-12-19-23.08.04.323645+480 I733636G904 LEVEL: Error
PID : 6306 TID : 3050825424 PROC : db2fm
INSTANCE: db2inst1 NODE : 000
FUNCTION: DB2 Common, Generic Control Facility, GcfCaller::getState, probe:40
MESSAGE : ECF=0x9000028C=-1879047540=ECF_GCF_GCF_FUNCTION_TIMED_OUT
Timeout occured while calling a GCF interface function
CALLSTCK: (Static functions may not be resolved correctly, as they are resolved to the nearest symbol)
[0] 0xB7D19809 /opt/ibm/db2/V9.7/lib32/libdb2osse.so.1 + 0xBE809
[1] 0xB7D1AA78 ossLog + 0x96
[2] 0xB7C0F249 _ZN9GcfCaller8getStateEP12GCF_PartInfojP11GCF_RetInfo + 0x7D
[3] 0x0804C385 main + 0xBE1
[4] 0x00299E9C __libc_start_main + 0xDC
[5] 0x0804B721 __gxx_personality_v0 + 0x111
[6] 0x00000000 ?unknown + 0x0
[7] 0x00000000 ?unknown + 0x0
[8] 0x00000000 ?unknown + 0x0
[9] 0x00000000 ?unknown + 0x0
2013-12-19-23.08.04.324035+480 I734541G1101 LEVEL: Error
PID : 6306 TID : 3050825424 PROC : db2fm
INSTANCE: db2inst1 NODE : 000
FUNCTION: DB2 Common, Generic Control Facility, GcfCaller::getState, probe:40
MESSAGE : ECF=0x90000292=-1879047534=ECF_GCF_SERVICE_FUNCTION_FAILED
The GCF function ran properly but the service did not behave accordingly
CALLED : DB2 Common, Generic Control Facility, gcf_reset
RETCODE : ECF=0x90000298=-1879047528=ECF_GCF_FAILURE
Failure as reported through GCF standard (GCF_FAILURE)
CALLSTCK: (Static functions may not be resolved correctly, as they are resolved to the nearest symbol)
[0] 0xB7D19809 /opt/ibm/db2/V9.7/lib32/libdb2osse.so.1 + 0xBE809
[1] 0xB7D1A94D ossLogRC + 0x4F
[2] 0xB7C0F29F _ZN9GcfCaller8getStateEP12GCF_PartInfojP11GCF_RetInfo + 0xD3
[3] 0x0804C385 main + 0xBE1
[4] 0x00299E9C __libc_start_main + 0xDC
[5] 0x0804B721 __gxx_personality_v0 + 0x111
[6] 0x00000000 ?unknown + 0x0
[7] 0x00000000 ?unknown + 0x0
[8] 0x00000000 ?unknown + 0x0
[9] 0x00000000 ?unknown + 0x0

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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