今天在恢复一套测试库的时候遇到了ora-600(3020)错误SQLgt; recover datafile 6;ORA-00279: change 1981277 generated at 01/03
今天在恢复一套测试库的时候遇到了ora-600(3020)错误
SQL> recover datafile 6;
ORA-00279: change 1981277 generated at 01/03/2014 14:24:15 needed for thread 1
ORA-00289: suggestion : /opt/arch/archive_1_45_834576965.arc
ORA-00280: change 1981277 for thread 1 is in sequence #45
Specify log: {
auto
。。。
。。。
ORA-00283: recovery session canceled due to errors
ORA-00600: internal error code, arguments: [3020], [6], [59], [25165883], [],[], [], [], [], [], [], []
ORA-10567: Redo is inconsistent with data block (file# 6, block# 59, file
offset is 483328 bytes)
ORA-10564: tablespace GOOLEN
ORA-01110: data file 6: '/opt/app/Oracle/oradata/goolen/goolen01.dbf'
ORA-10561: block type 'TRANSACTION MANAGED DATA BLOCK', data object# 74195
ORA-01112: media recovery not started
alter日志报错:
Fri Jan 03 17:21:06 2014
ALTER DATABASE RECOVER datafile 6
Media Recovery Start
Serial Media Recovery started
ORA-279 signalled during: ALTER DATABASE RECOVER datafile 6 ...
ALTER DATABASE RECOVER CONTINUE DEFAULT
Media Recovery Log /opt/arch/archive_1_45_834576965.arc
Errors in file /opt/app/oracle/diag/rdbms/goolen/goolen/trace/goolen_ora_11763.trc:
ORA-00308: cannot open archived log '/opt/arch/archive_1_44_834576965.arc'
ORA-27037: unable to obtain file status
Linux-x86_64 Error: 2: No such file or directory
Additional information: 3
ORA-10567: Redo is inconsistent with data block (file# 6, block# 59, file offset is 483328 bytes)
ORA-10564: tablespace GOOLEN
ORA-01110: data file 6: '/opt/app/oracle/oradata/goolen/goolen01.dbf'
ORA-10561: block type 'TRANSACTION MANAGED DATA BLOCK', data object# 74195
Errors in file /opt/app/oracle/diag/rdbms/goolen/goolen/trace/goolen_ora_11763.trc (incident=15025):
ORA-00600: internal error code, arguments: [3020], [6], [59], [25165883], [], [], [], [], [], [], [], []
ORA-10567: Redo is inconsistent with data block (file# 6, block# 59, file offset is 483328 bytes)
ORA-10564: tablespace GOOLEN
ORA-01110: data file 6: '/opt/app/oracle/oradata/goolen/goolen01.dbf'
ORA-10561: block type 'TRANSACTION MANAGED DATA BLOCK', data object# 74195
Incident details in: /opt/app/oracle/diag/rdbms/goolen/goolen/incident/incdir_15025/goolen_ora_11763_i15025.trc
Media Recovery failed with error 600
trace文件内容:
buffer tsn: 6 rdba: 0x0180003b (6/59)
scn: 0x0000.00158d60 seq: 0x01 flg: 0x04 tail: 0x8d600601
frmt: 0x02 chkval: 0xf96d type: 0x06=trans data
on-disk scn: 0x0.158d60
DUMP REDO
Opcodes *.*
DBAs (file#, block#):
(6, 59) .
SCNs: scn: 0x0000.00158d60 (1412448) thru scn: 0x0000.001e3b9c (1981340)
Times: creation thru eternity
*Error 308 when opening Archive Log -
/opt/arch/archive_1_44_834576965.arc
*Error is non fatal for dump - Dump will continue
*Error 308 when opening Archive Log -
/opt/arch/archive_1_44_834576965.arc
*Error is non fatal for dump - Dump will continue
*Error 308 when opening Archive Log -
/opt/arch/archive_1_39_834576965.arc
*Error is non fatal for dump - Dump will continue
*Error 308 when opening Archive Log -
/opt/arch/archive_1_39_834576965.arc
SQL> select segment_name, segment_type, owner
2 from dba_extents
3 where file_id = &file_id
4 and &block_id between block_id and block_id + blocks - 1;
Enter value for file_id: 6
old 3: where file_id = &file_id
new 3: where file_id = 6
Enter value for block_id: 59
old 4: and &block_id between block_id and block_id + blocks - 1
new 4: and 59 between block_id and block_id + blocks - 1
no rows selected
SQL> select *
2 from dba_free_space
3 where file_id = &file_id
4 and &block_id between block_id and block_id + blocks - 1;
Enter value for file_id: 6
old 3: where file_id = &file_id
new 3: where file_id = 6
Enter value for block_id: 59
old 4: and &block_id between block_id and block_id + blocks - 1
new 4: and 59 between block_id and block_id + blocks - 1
no rows selected
SQL> SELECT owner, segment_name, segment_type, partition_name
2 FROM dba_segments
3 WHERE header_file =&file_id
4 and header_block=&block_id;
Enter value for file_id: 6
old 3: WHERE header_file =&file_id
new 3: WHERE header_file =6
Enter value for block_id: 59
old 4: and header_block=&block_id
new 4: and header_block=59
no rows selected

MySQL index cardinality has a significant impact on query performance: 1. High cardinality index can more effectively narrow the data range and improve query efficiency; 2. Low cardinality index may lead to full table scanning and reduce query performance; 3. In joint index, high cardinality sequences should be placed in front to optimize query.

The MySQL learning path includes basic knowledge, core concepts, usage examples, and optimization techniques. 1) Understand basic concepts such as tables, rows, columns, and SQL queries. 2) Learn the definition, working principles and advantages of MySQL. 3) Master basic CRUD operations and advanced usage, such as indexes and stored procedures. 4) Familiar with common error debugging and performance optimization suggestions, such as rational use of indexes and optimization queries. Through these steps, you will have a full grasp of the use and optimization of MySQL.

MySQL's real-world applications include basic database design and complex query optimization. 1) Basic usage: used to store and manage user data, such as inserting, querying, updating and deleting user information. 2) Advanced usage: Handle complex business logic, such as order and inventory management of e-commerce platforms. 3) Performance optimization: Improve performance by rationally using indexes, partition tables and query caches.

SQL commands in MySQL can be divided into categories such as DDL, DML, DQL, DCL, etc., and are used to create, modify, delete databases and tables, insert, update, delete data, and perform complex query operations. 1. Basic usage includes CREATETABLE creation table, INSERTINTO insert data, and SELECT query data. 2. Advanced usage involves JOIN for table joins, subqueries and GROUPBY for data aggregation. 3. Common errors such as syntax errors, data type mismatch and permission problems can be debugged through syntax checking, data type conversion and permission management. 4. Performance optimization suggestions include using indexes, avoiding full table scanning, optimizing JOIN operations and using transactions to ensure data consistency.

InnoDB achieves atomicity through undolog, consistency and isolation through locking mechanism and MVCC, and persistence through redolog. 1) Atomicity: Use undolog to record the original data to ensure that the transaction can be rolled back. 2) Consistency: Ensure the data consistency through row-level locking and MVCC. 3) Isolation: Supports multiple isolation levels, and REPEATABLEREAD is used by default. 4) Persistence: Use redolog to record modifications to ensure that data is saved for a long time.

MySQL's position in databases and programming is very important. It is an open source relational database management system that is widely used in various application scenarios. 1) MySQL provides efficient data storage, organization and retrieval functions, supporting Web, mobile and enterprise-level systems. 2) It uses a client-server architecture, supports multiple storage engines and index optimization. 3) Basic usages include creating tables and inserting data, and advanced usages involve multi-table JOINs and complex queries. 4) Frequently asked questions such as SQL syntax errors and performance issues can be debugged through the EXPLAIN command and slow query log. 5) Performance optimization methods include rational use of indexes, optimized query and use of caches. Best practices include using transactions and PreparedStatemen

MySQL is suitable for small and large enterprises. 1) Small businesses can use MySQL for basic data management, such as storing customer information. 2) Large enterprises can use MySQL to process massive data and complex business logic to optimize query performance and transaction processing.

InnoDB effectively prevents phantom reading through Next-KeyLocking mechanism. 1) Next-KeyLocking combines row lock and gap lock to lock records and their gaps to prevent new records from being inserted. 2) In practical applications, by optimizing query and adjusting isolation levels, lock competition can be reduced and concurrency performance can be improved.


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

ZendStudio 13.5.1 Mac
Powerful PHP integrated development environment

SublimeText3 Linux new version
SublimeText3 Linux latest version

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

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

Dreamweaver CS6
Visual web development tools