Oracle释出Linux资料完整检验开放源码
Oracle宣布释出与Emulex合作开发的资料完整(data integrity)检验开放源码,让Linux社群使用者在资料转移时,能获得更周全的保护
Oracle宣布释出与Emulex合作开发的资料完整(data integrity)检验开放源码,让Linux社群使用者在资料转移时,能获得更周全的保护。 目前可采用此程式码的Linux核心为2.6.27.Oracle表示,此次程式码的释出代表Oracle对高阶企业Linux系统的承诺与努力。此开放源码能确保资料转移时的完整性,不论是从应用程式到资料库,或是从Linux作业系统转移到硬碟。
新的程式码能让Linux作业系统拥有额外的检验方式,协助删除未标记的错误资料,降低错误资料被写入硬碟的可能性,同时也能减少应用程式与资料库的错误,或影响系统的上线时间。
此次释出的程式码为Oracle与Emulex所合作开发,依循既有的储存标准规范,首次让Linux的核心程式能利用这些重要的资料保护资讯。对Linux使用者而言,此程式码将能为整个软体架构,提供丰富的资料完整检验能力,,让使用者能降低成本、提升效能与上线时间。
Oracle与Emulex同时也将合作进行一些客户的先期导入方案,计划选择特定的客户群,在真实的IT环境中先行导入此程式码,并进一步测试各种新的资料完整检验功能。
储存厂商Emulex公司产品行销副总裁Scott McIntyre指出,资料完整性对任何企业而言都非常重要。Emulex与Oracle的目标是协助资料中心的管理者,能快速发现并修正错误的资料,以保护他们的企业资产。此次释出的程式码,意味着我们对Linux平台资料完整性所做的努力。

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

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 function in Oracle to calculate the number of days between two dates is DATEDIFF(). The specific usage is as follows: Specify the time interval unit: interval (such as day, month, year) Specify two date values: date1 and date2DATEDIFF(interval, date1, date2) Return the difference in days

The retention period of Oracle database logs depends on the log type and configuration, including: Redo logs: determined by the maximum size configured with the "LOG_ARCHIVE_DEST" parameter. Archived redo logs: Determined by the maximum size configured by the "DB_RECOVERY_FILE_DEST_SIZE" parameter. Online redo logs: not archived, lost when the database is restarted, and the retention period is consistent with the instance running time. Audit log: Configured by the "AUDIT_TRAIL" parameter, retained for 30 days by default.

The Oracle database startup sequence is: 1. Check the preconditions; 2. Start the listener; 3. Start the database instance; 4. Wait for the database to open; 5. Connect to the database; 6. Verify the database status; 7. Enable the service (if necessary ); 8. Test the connection.

The INTERVAL data type in Oracle is used to represent time intervals. The syntax is INTERVAL <precision> <unit>. You can use addition, subtraction, multiplication and division operations to operate INTERVAL, which is suitable for scenarios such as storing time data and calculating date differences.

In Oracle, you can use the nested INSTR function to determine whether a string contains two substrings at the same time: when INSTR(string1, string2a) is greater than 0 and INSTR(string1, string2b) is greater than 0, it is included; otherwise, it is not included.

To find the number of occurrences of a character in Oracle, perform the following steps: Get the total length of a string; Get the length of the substring in which a character occurs; Count the number of occurrences of a character by subtracting the substring length from the total length.

Oracle database server hardware configuration requirements: Processor: multi-core, with a main frequency of at least 2.5 GHz. For large databases, 32 cores or more are recommended. Memory: At least 8GB for small databases, 16-64GB for medium sizes, up to 512GB or more for large databases or heavy workloads. Storage: SSD or NVMe disks, RAID arrays for redundancy and performance. Network: High-speed network (10GbE or higher), dedicated network card, low-latency network. Others: Stable power supply, redundant components, compatible operating system and software, heat dissipation and cooling system.

The amount of memory required by Oracle depends on database size, activity level, and required performance level: for storing data buffers, index buffers, executing SQL statements, and managing the data dictionary cache. The exact amount is affected by database size, activity level, and required performance level. Best practices include setting the appropriate SGA size, sizing SGA components, using AMM, and monitoring memory usage.
