collection 方法是一个内置的 PL/SQL 子程序,可以返回 collection 信息,或是在 collection 上执行操作,很方便。你可以通过点记
本文内容
collection 方法是一个内置的 PL/SQL 子程序,可以返回 collection 信息,或是在 collection 上执行操作,很方便。
你可以通过点记号来调用 collection 方法。语法如下图所示:
图1 Collection Method 调用
不能在 SQL 语句调用 collection 方法。
当 collection 为空时,你只能使用 EXISTS 方法,使用其他方法都会抛出 COLLECTION_IS_NULL 异常。
EXISTS 方法
若 collection 中第 n 个元素存在,则 EXISTS(n) 返回 TRUE;否则,返回 FALSE。EXISTS 方法结合 DELETE 方法,会把 collection 变成稀疏 nested tables(sparse nested tables)。通过 EXISTS 方法,避免引用一个不存在的元素,从而产生异常。当传递一个超出范围的标值时,EXISTS 方法返回 FALSE,而不是产生 SUBSCRIPT_OUTSIDE_LIMIT 异常。
示例1:演示检查元素是否存在
; n NumList := NumList(1,3,5,7); DBMS_OUTPUT.PUT_LINE( DBMS_OUTPUT.PUT_LINE('OK, element #99 does not exist at all.'); END IF;END;/
COUNT 方法
COUNT 返回 collection 中元素的当前数量。当你不知道 collection 中有多少元素时,很有用。例如,当你把获取的表的一列,放到一个 nested table 时,元素的数量取决于结果集的大小。
对于 varray,COUNT 总是等于 LAST。通过 EXTEND 和 TRIM 方法,你可以增加或减少 varray 的大小,,因此,COUNT 值是变化的,取决于 LIMIT 方法的值。
对于 nested tables,COUNT 方法通常等于 LAST 方法。然而,若你从 nested table 删除元素,则 COUNT 小于 LAST。当你整理元素时,COUNT 会忽略已删除的元素。使用不带参数的 DELETE 方法会设置 COUNT 为 0。
备注:FIRST 方法和 LAST 方法返回最大和最小的索引数。后面说明。

Stored procedures are precompiled SQL statements in MySQL for improving performance and simplifying complex operations. 1. Improve performance: After the first compilation, subsequent calls do not need to be recompiled. 2. Improve security: Restrict data table access through permission control. 3. Simplify complex operations: combine multiple SQL statements to simplify application layer logic.

The working principle of MySQL query cache is to store the results of SELECT query, and when the same query is executed again, the cached results are directly returned. 1) Query cache improves database reading performance and finds cached results through hash values. 2) Simple configuration, set query_cache_type and query_cache_size in MySQL configuration file. 3) Use the SQL_NO_CACHE keyword to disable the cache of specific queries. 4) In high-frequency update environments, query cache may cause performance bottlenecks and needs to be optimized for use through monitoring and adjustment of parameters.

The reasons why MySQL is widely used in various projects include: 1. High performance and scalability, supporting multiple storage engines; 2. Easy to use and maintain, simple configuration and rich tools; 3. Rich ecosystem, attracting a large number of community and third-party tool support; 4. Cross-platform support, suitable for multiple operating systems.

The steps for upgrading MySQL database include: 1. Backup the database, 2. Stop the current MySQL service, 3. Install the new version of MySQL, 4. Start the new version of MySQL service, 5. Recover the database. Compatibility issues are required during the upgrade process, and advanced tools such as PerconaToolkit can be used for testing and optimization.

MySQL backup policies include logical backup, physical backup, incremental backup, replication-based backup, and cloud backup. 1. Logical backup uses mysqldump to export database structure and data, which is suitable for small databases and version migrations. 2. Physical backups are fast and comprehensive by copying data files, but require database consistency. 3. Incremental backup uses binary logging to record changes, which is suitable for large databases. 4. Replication-based backup reduces the impact on the production system by backing up from the server. 5. Cloud backups such as AmazonRDS provide automation solutions, but costs and control need to be considered. When selecting a policy, database size, downtime tolerance, recovery time, and recovery point goals should be considered.

MySQLclusteringenhancesdatabaserobustnessandscalabilitybydistributingdataacrossmultiplenodes.ItusestheNDBenginefordatareplicationandfaulttolerance,ensuringhighavailability.Setupinvolvesconfiguringmanagement,data,andSQLnodes,withcarefulmonitoringandpe

Optimizing database schema design in MySQL can improve performance through the following steps: 1. Index optimization: Create indexes on common query columns, balancing the overhead of query and inserting updates. 2. Table structure optimization: Reduce data redundancy through normalization or anti-normalization and improve access efficiency. 3. Data type selection: Use appropriate data types, such as INT instead of VARCHAR, to reduce storage space. 4. Partitioning and sub-table: For large data volumes, use partitioning and sub-table to disperse data to improve query and maintenance efficiency.

TooptimizeMySQLperformance,followthesesteps:1)Implementproperindexingtospeedupqueries,2)UseEXPLAINtoanalyzeandoptimizequeryperformance,3)Adjustserverconfigurationsettingslikeinnodb_buffer_pool_sizeandmax_connections,4)Usepartitioningforlargetablestoi


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

SublimeText3 Linux new version
SublimeText3 Linux latest version

Dreamweaver CS6
Visual web development tools

Dreamweaver Mac version
Visual web development tools

SecLists
SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.

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