quot;ORA-00054: 资源正忙, 但指定以 NOWAIT 方式获取资源, 或者超时失效quot;的快速解决方法今天在导一个临时表的数据,导出完
"ORA-00054: 资源正忙, 但指定以 NOWAIT 方式获取资源, 或者超时失效"的快速解决方法今天在导一个临时表的数据,导出完成后准备清空数据,执行truncate命令时,遇到如下问题:
ORA-00054: 资源正忙, 但指定以 NOWAIT 方式获取资源, 或者超时失效
解决方法如下:
SQL> select session_id from v$locked_object;
SESSION_ID
----------
56
SQL> SELECT sid, serial#, username, oSUSEr FROM v$session where sid = 142;
SID SERIAL# USERNAME OSUSER
---------- ---------- ------------------------------ ------------------------------
56 2088 ghb fy
SQL> ALTER SYSTEM KILL SESSION '56,2088';
System altered
执行完上述命令后,提示会话断开。重新连接数据库,然后执行truncate操作,成功!
以下是原理部分
Oracle数据库的锁类型
根据保护的对象不同,Oracle数据库锁可以分为以下几大类:DML锁(data locks,数据锁),用于保护数据的完整性;DDL锁(dictionary locks,字典锁),用于保护数据库对象的结构,如表、索引等的结构定义;内部锁和闩(internal locks and latches),保护数据库的内部结构。
DML锁的目的在于保证并发情况下的数据完整性,。在Oracle数据库中,DML锁主要包括TM锁和TX锁,其中TM锁称为表级锁,TX锁称为事务锁或行级锁。
当Oracle 执行DML语句时,系统自动在所要操作的表上申请TM类型的锁。当TM锁获得后,系统再自动申请TX类型的锁,并将实际锁定的数据行的锁标志位进行置位。这样在事务加锁前检查TX锁相容性时就不用再逐行检查锁标志,而只需检查TM锁模式的相容性即可,大大提高了系统的效率。TM锁包括了SS、SX、S、X 等多种模式,在数据库中用0-6来表示。不同的SQL操作产生不同类型的TM锁。
在数据行上只有X锁(排他锁)。在 Oracle数据库中,当一个事务首次发起一个DML语句时就获得一个TX锁,该锁保持到事务被提交或回滚。当两个或多个会话在表的同一条记录上执行 DML语句时,,第一个会话在该条记录上加锁,其他的会话处于等待状态。当第一个会话提交后,TX锁被释放,其他会话才可以加锁。
当Oracle数据库发生TX锁等待时,如果不及时处理常常会引起Oracle数据库挂起,或导致死锁的发生,产生ORA-60的错误。这些现象都会对实际应用产生极大的危害,如长时间未响应,大量事务失败等。

ACID attributes include atomicity, consistency, isolation and durability, and are the cornerstone of database design. 1. Atomicity ensures that the transaction is either completely successful or completely failed. 2. Consistency ensures that the database remains consistent before and after a transaction. 3. Isolation ensures that transactions do not interfere with each other. 4. Persistence ensures that data is permanently saved after transaction submission.

MySQL is not only a database management system (DBMS) but also closely related to programming languages. 1) As a DBMS, MySQL is used to store, organize and retrieve data, and optimizing indexes can improve query performance. 2) Combining SQL with programming languages, embedded in Python, using ORM tools such as SQLAlchemy can simplify operations. 3) Performance optimization includes indexing, querying, caching, library and table division and transaction management.

MySQL uses SQL commands to manage data. 1. Basic commands include SELECT, INSERT, UPDATE and DELETE. 2. Advanced usage involves JOIN, subquery and aggregate functions. 3. Common errors include syntax, logic and performance issues. 4. Optimization tips include using indexes, avoiding SELECT* and using LIMIT.

MySQL is an efficient relational database management system suitable for storing and managing data. Its advantages include high-performance queries, flexible transaction processing and rich data types. In practical applications, MySQL is often used in e-commerce platforms, social networks and content management systems, but attention should be paid to performance optimization, data security and scalability.

The relationship between SQL and MySQL is the relationship between standard languages and specific implementations. 1.SQL is a standard language used to manage and operate relational databases, allowing data addition, deletion, modification and query. 2.MySQL is a specific database management system that uses SQL as its operating language and provides efficient data storage and management.

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.

Key metrics for EXPLAIN commands include type, key, rows, and Extra. 1) The type reflects the access type of the query. The higher the value, the higher the efficiency, such as const is better than ALL. 2) The key displays the index used, and NULL indicates no index. 3) rows estimates the number of scanned rows, affecting query performance. 4) Extra provides additional information, such as Usingfilesort prompts that it needs to be optimized.

Usingtemporary indicates that the need to create temporary tables in MySQL queries, which are commonly found in ORDERBY using DISTINCT, GROUPBY, or non-indexed columns. You can avoid the occurrence of indexes and rewrite queries and improve query performance. Specifically, when Usingtemporary appears in EXPLAIN output, it means that MySQL needs to create temporary tables to handle queries. This usually occurs when: 1) deduplication or grouping when using DISTINCT or GROUPBY; 2) sort when ORDERBY contains non-index columns; 3) use complex subquery or join operations. Optimization methods include: 1) ORDERBY and GROUPB


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