مقاله پارتیشن بندی در #oracle mysql | #mariadb

https://www.slideshare.net/yasharesmaildokht/partition-in-oracle-mysql-mariadb

#yashar_esmaildokht

کتاب مرجع oracle mysql |mariadb که سالها پیش نوشته بودم . تقدیم عزیزان



MariaDB and MySQL are both popular open-source relational database management systems (RDBMS) that are used to store, organize, and manage data. They are both based on the same core software, which was originally developed by MySQL AB, but MariaDB is a fork of MySQL that was created in 2009 due to concerns about the acquisition of MySQL by Oracle Corporation.

MariaDB and MySQL have many similarities, including their architecture, syntax, and functionality. Both databases use SQL (Structured Query Language) to manage data and support a wide range of programming languages. They also offer features such as replication, clustering, and partitioning to improve performance and scalability.

However, there are also some differences between MariaDB and MySQL. MariaDB has some additional features and improvements over MySQL, such as better performance, improved security, and more storage engines. MariaDB also supports more data types than MySQL and has more built-in functions.

Overall, both MariaDB and MySQL are powerful and reliable RDBMS options for managing data, and the choice between them may depend on specific needs and preferences.

#db #dba #yashar_esmaildokht #book #mariadb #oracle #mysql 📕 📖

https://t.me/unixmens

کتاب مرجع oracle mysql |mariadb که سالها پیش نوشته بودم . تقدیم عزیزان



MariaDB and MySQL are both popular open-source relational database management systems (RDBMS) that are used to store, organize, and manage data. They are both based on the same core software, which was originally developed by MySQL AB, but MariaDB is a fork of MySQL that was created in 2009 due to concerns about the acquisition of MySQL by Oracle Corporation.

MariaDB and MySQL have many similarities, including their architecture, syntax, and functionality. Both databases use SQL (Structured Query Language) to manage data and support a wide range of programming languages. They also offer features such as replication, clustering, and partitioning to improve performance and scalability.

However, there are also some differences between MariaDB and MySQL. MariaDB has some additional features and improvements over MySQL, such as better performance, improved security, and more storage engines. MariaDB also supports more data types than MySQL and has more built-in functions.

Overall, both MariaDB and MySQL are powerful and reliable RDBMS options for managing data, and the choice between them may depend on specific needs and preferences.

#db #dba #yashar_esmaildokht #book #mariadb #oracle #mysql 📕 📖

https://t.me/unixmens

کتاب مرجع oracle mysql |mariadb که سالها پیش نوشته بودم . تقدیم عزیزان



MariaDB and MySQL are both popular open-source relational database management systems (RDBMS) that are used to store, organize, and manage data. They are both based on the same core software, which was originally developed by MySQL AB, but MariaDB is a fork of MySQL that was created in 2009 due to concerns about the acquisition of MySQL by Oracle Corporation.

MariaDB and MySQL have many similarities, including their architecture, syntax, and functionality. Both databases use SQL (Structured Query Language) to manage data and support a wide range of programming languages. They also offer features such as replication, clustering, and partitioning to improve performance and scalability.

However, there are also some differences between MariaDB and MySQL. MariaDB has some additional features and improvements over MySQL, such as better performance, improved security, and more storage engines. MariaDB also supports more data types than MySQL and has more built-in functions.

Overall, both MariaDB and MySQL are powerful and reliable RDBMS options for managing data, and the choice between them may depend on specific needs and preferences.

#db #dba #yashar_esmaildokht #book #mariadb #oracle #mysql 📕 📖

https://t.me/unixmens

کتاب مرجع oracle mysql |mariadb که سالها پیش نوشته بودم . تقدیم عزیزان



MariaDB and MySQL are both popular open-source relational database management systems (RDBMS) that are used to store, organize, and manage data. They are both based on the same core software, which was originally developed by MySQL AB, but MariaDB is a fork of MySQL that was created in 2009 due to concerns about the acquisition of MySQL by Oracle Corporation.

MariaDB and MySQL have many similarities, including their architecture, syntax, and functionality. Both databases use SQL (Structured Query Language) to manage data and support a wide range of programming languages. They also offer features such as replication, clustering, and partitioning to improve performance and scalability.

However, there are also some differences between MariaDB and MySQL. MariaDB has some additional features and improvements over MySQL, such as better performance, improved security, and more storage engines. MariaDB also supports more data types than MySQL and has more built-in functions.

Overall, both MariaDB and MySQL are powerful and reliable RDBMS options for managing data, and the choice between them may depend on specific needs and preferences.

#db #dba #yashar_esmaildokht #book #mariadb #oracle #mysql 📕 📖

https://t.me/unixmens

کتاب مرجع oracle mysql |mariadb که سالها پیش نوشته بودم . تقدیم عزیزان



MariaDB and MySQL are both popular open-source relational database management systems (RDBMS) that are used to store, organize, and manage data. They are both based on the same core software, which was originally developed by MySQL AB, but MariaDB is a fork of MySQL that was created in 2009 due to concerns about the acquisition of MySQL by Oracle Corporation.

MariaDB and MySQL have many similarities, including their architecture, syntax, and functionality. Both databases use SQL (Structured Query Language) to manage data and support a wide range of programming languages. They also offer features such as replication, clustering, and partitioning to improve performance and scalability.

However, there are also some differences between MariaDB and MySQL. MariaDB has some additional features and improvements over MySQL, such as better performance, improved security, and more storage engines. MariaDB also supports more data types than MySQL and has more built-in functions.

Overall, both MariaDB and MySQL are powerful and reliable RDBMS options for managing data, and the choice between them may depend on specific needs and preferences.

#db #dba #yashar_esmaildokht #book #mariadb #oracle #mysql 📕 📖

https://t.me/unixmens

کتاب مرجع oracle mysql |mariadb که سالها پیش نوشته بودم . تقدیم عزیزان



MariaDB and MySQL are both popular open-source relational database management systems (RDBMS) that are used to store, organize, and manage data. They are both based on the same core software, which was originally developed by MySQL AB, but MariaDB is a fork of MySQL that was created in 2009 due to concerns about the acquisition of MySQL by Oracle Corporation.

MariaDB and MySQL have many similarities, including their architecture, syntax, and functionality. Both databases use SQL (Structured Query Language) to manage data and support a wide range of programming languages. They also offer features such as replication, clustering, and partitioning to improve performance and scalability.

However, there are also some differences between MariaDB and MySQL. MariaDB has some additional features and improvements over MySQL, such as better performance, improved security, and more storage engines. MariaDB also supports more data types than MySQL and has more built-in functions.

Overall, both MariaDB and MySQL are powerful and reliable RDBMS options for managing data, and the choice between them may depend on specific needs and preferences.

#db #dba #yashar_esmaildokht #book #mariadb #oracle #mysql 📕 📖

https://t.me/unixmens

mariadb storage engine - sharding and xa transactions
#mariadb #storage #linux #db #database #spider #sharding #partitions #partition xa_transaction

https://t.me/unixmens

mariadb spider storage engine



Spider Storage Engine is a plugin of
MySQL/MariaDB. Spider tables can be
used on other MySQL/MariaDB/OracleDB
tables as local tables. And Spider can
create database sharding by using table
partitioning feature.


spider engine suport xa transactions



Redundant feature
You can choose redundant level per table/partition.
Fault tolerance feature
You can use not only Spider’s fault tolerance feature
but also other MySQL’s fault tolerance solutions.
Fulltext/Geo search feature
(with table partitioning, available for patched MariaDB)
You can use backend Fulltext/Geo search feature
transparently.

NoSQL feature (now support )
You can use handlersocket for Spider.
OracleDB connecting feature
You can search sharded table by parallel.


mariadb storage engine - sharding and xa transactions
#mariadb #storage #linux #db #database #spider #sharding #partitions #partition xa_transaction

https://t.me/unixmens

کتاب مرجع oracle mysql |mariadb که سالها پیش نوشته بودم . تقدیم عزیزان



MariaDB and MySQL are both popular open-source relational database management systems (RDBMS) that are used to store, organize, and manage data. They are both based on the same core software, which was originally developed by MySQL AB, but MariaDB is a fork of MySQL that was created in 2009 due to concerns about the acquisition of MySQL by Oracle Corporation.

MariaDB and MySQL have many similarities, including their architecture, syntax, and functionality. Both databases use SQL (Structured Query Language) to manage data and support a wide range of programming languages. They also offer features such as replication, clustering, and partitioning to improve performance and scalability.

However, there are also some differences between MariaDB and MySQL. MariaDB has some additional features and improvements over MySQL, such as better performance, improved security, and more storage engines. MariaDB also supports more data types than MySQL and has more built-in functions.

Overall, both MariaDB and MySQL are powerful and reliable RDBMS options for managing data, and the choice between them may depend on specific needs and preferences.

#db #dba #yashar_esmaildokht #book #mariadb #oracle #mysql 📕 📖

https://t.me/unixmens

کتاب مرجع oracle mysql |mariadb که سالها پیش نوشته بودم . تقدیم عزیزان



MariaDB and MySQL are both popular open-source relational database management systems (RDBMS) that are used to store, organize, and manage data. They are both based on the same core software, which was originally developed by MySQL AB, but MariaDB is a fork of MySQL that was created in 2009 due to concerns about the acquisition of MySQL by Oracle Corporation.

MariaDB and MySQL have many similarities, including their architecture, syntax, and functionality. Both databases use SQL (Structured Query Language) to manage data and support a wide range of programming languages. They also offer features such as replication, clustering, and partitioning to improve performance and scalability.

However, there are also some differences between MariaDB and MySQL. MariaDB has some additional features and improvements over MySQL, such as better performance, improved security, and more storage engines. MariaDB also supports more data types than MySQL and has more built-in functions.

Overall, both MariaDB and MySQL are powerful and reliable RDBMS options for managing data, and the choice between them may depend on specific needs and preferences.

#db #dba #yashar_esmaildokht #book #mariadb #oracle #mysql 📕 📖

https://t.me/unixmens

در این مقاله به بررسی MariaDB MaxScale و Spider Engine می پردازیم این دو ویژگی قدرتمند در MariaDB هستند که می‌توانند به سازمان‌ها کمک کنند تا عملکرد، مقیاس‌پذیری و دسترس‌پذیری و امنیت پایگاه داده‌های خود را بهبود ببخشند. در ادامه به توضیح هر یک از این دو ویژگی و منافع آن‌ها برای سازمان‌ها می‌پردازم.

#db #dba #mariadb #oracle #mysql #performance #book #yashar_esmaildokht
#security

https://t.me/unixmens

https://skysql.com/2024/10/01/build-a-gen-ai-app-in-minutes-with-skysql-mariadb-vector-and-llamaindex/


#db #dba #ai #mariadb #sql

@unixmens

مدل‌های یادگیری عمیق اغلب داده‌ها را به بردارهایی با تعداد ابعاد بالا تبدیل می‌کنند. پایگاه‌های داده برداری به صورت کارآمد این بردارها را مدیریت می‌کنند.
تسریع در عملیات inference: هنگام استفاده از مدل‌های هوش مصنوعی، به جای پردازش مجدد داده‌ها برای هر درخواست، می‌توان بردارهای آماده را ذخیره و جستجو کرد که سرعت عملیات inference (استنتاج) را افزایش می‌دهد.

این امکان به توسعه‌دهندگان کمک می‌کند تا بتوانند به سادگی سیستم‌های توصیه‌گر، تحلیل‌های معنایی و سایر کاربردهای هوش مصنوعی را روی داده‌های بزرگ مقیاس پیاده‌سازی کنند.


بهینه‌سازی ذخیره‌سازی و پردازش

پایگاه‌های داده برداری معمولاً از تکنیک‌های خاصی برای بهینه‌سازی فضای ذخیره‌سازی و زمان پردازش استفاده می‌کنند:

ا HNSW (Hierarchical Navigable Small World graphs): این الگوریتم یکی از الگوریتم‌های محبوب برای جستجوی سریع مشابهت برداری در فضاهای چند بعدی است. MariaDB Vector ممکن است از این یا سایر تکنیک‌های مشابه برای تسریع جستجوها استفاده کند.
کاهش ابعاد: برای کار با بردارهایی که دارای ابعاد بسیار زیادی هستند، تکنیک‌هایی مانند Principal Component Analysis (PCA) یا t-SNE برای کاهش ابعاد بردارها و افزایش کارایی مورد استفاده قرار می‌گیرند.

امنیت و مدیریت داده‌ها

یکی از مزایای MariaDB Vector این است که با امکانات مدیریت داده‌های ساختاریافته در MariaDB یکپارچه شده است. این به معنای آن است که شما می‌توانید از امکانات امنیتی، مدیریت دسترسی، نسخه‌برداری و ریکاوری در MariaDB استفاده کنید و در عین حال داده‌های برداری را نیز مدیریت کنید.

این امکان برای کسب‌وکارهایی که نیاز به محافظت از داده‌های حساس دارند یا نیازمند رعایت استانداردهای امنیتی هستند، بسیار ارزشمند است.

موارد استفاده از پایگاه‌های داده برداری و محصولاتی مانند MariaDB Vector در صنعت بسیار گسترده است:

موتورهای جستجوی تخصصی: برای جستجوی سریع داده‌های غیرساختاریافته مانند اسناد متنی طولانی، تصاویر، و ویدئوها.
توسعه برنامه‌های مبتنی بر هوش مصنوعی: مانند شناسایی چهره، تحلیل احساسات، پردازش زبان طبیعی، و سیستم‌های توصیه‌گر.
تجزیه و تحلیل داده‌های IoT: دستگاه‌های IoT معمولاً داده‌های غیرساختاریافته تولید می‌کنند که نیاز به تحلیل سریع و موثر دارند. پایگاه‌های داده برداری می‌توانند این تحلیل را تسهیل کنند.

در مجموع، MariaDB Vector راه‌حلی برای نیازهای مدرن به جستجوی داده‌های غیرساختاریافته و پشتیبانی از برنامه‌های هوش مصنوعی است.

در حقیقت MariaDB Vector در پاسخ به نیاز به یکپارچگی و کارایی بالاتر در مدیریت داده‌های غیرساختاریافته و پشتیبانی از هوش مصنوعی بوجود آمد. در گذشته، پایگاه‌های داده سنتی مانند MySQL یا MariaDB عمدتاً برای داده‌های ساختاریافته طراحی شده بودند، و امکان مدیریت و جستجوی داده‌های برداری به صورت بومی نداشتند. اما با رشد نیاز به پردازش داده‌های پیچیده در حوزه‌هایی مانند یادگیری ماشین، هوش مصنوعی، و تحلیل داده‌های بزرگ، نیاز به محصولاتی مانند MariaDB Vector حس شد که توانایی ذخیره، جستجو و پردازش داده‌های برداری را به همراه داشته باشند.

#database #db #vector #bigdata #mariadb #ai #linux

https://t.me/unixmens

مدل‌های یادگیری عمیق اغلب داده‌ها را به بردارهایی با تعداد ابعاد بالا تبدیل می‌کنند. پایگاه‌های داده برداری به صورت کارآمد این بردارها را مدیریت می‌کنند.
تسریع در عملیات inference: هنگام استفاده از مدل‌های هوش مصنوعی، به جای پردازش مجدد داده‌ها برای هر درخواست، می‌توان بردارهای آماده را ذخیره و جستجو کرد که سرعت عملیات inference (استنتاج) را افزایش می‌دهد.

این امکان به توسعه‌دهندگان کمک می‌کند تا بتوانند به سادگی سیستم‌های توصیه‌گر، تحلیل‌های معنایی و سایر کاربردهای هوش مصنوعی را روی داده‌های بزرگ مقیاس پیاده‌سازی کنند.


بهینه‌سازی ذخیره‌سازی و پردازش

پایگاه‌های داده برداری معمولاً از تکنیک‌های خاصی برای بهینه‌سازی فضای ذخیره‌سازی و زمان پردازش استفاده می‌کنند:

ا HNSW (Hierarchical Navigable Small World graphs): این الگوریتم یکی از الگوریتم‌های محبوب برای جستجوی سریع مشابهت برداری در فضاهای چند بعدی است. MariaDB Vector ممکن است از این یا سایر تکنیک‌های مشابه برای تسریع جستجوها استفاده کند.
کاهش ابعاد: برای کار با بردارهایی که دارای ابعاد بسیار زیادی هستند، تکنیک‌هایی مانند Principal Component Analysis (PCA) یا t-SNE برای کاهش ابعاد بردارها و افزایش کارایی مورد استفاده قرار می‌گیرند.

امنیت و مدیریت داده‌ها

یکی از مزایای MariaDB Vector این است که با امکانات مدیریت داده‌های ساختاریافته در MariaDB یکپارچه شده است. این به معنای آن است که شما می‌توانید از امکانات امنیتی، مدیریت دسترسی، نسخه‌برداری و ریکاوری در MariaDB استفاده کنید و در عین حال داده‌های برداری را نیز مدیریت کنید.

این امکان برای کسب‌وکارهایی که نیاز به محافظت از داده‌های حساس دارند یا نیازمند رعایت استانداردهای امنیتی هستند، بسیار ارزشمند است.

موارد استفاده از پایگاه‌های داده برداری و محصولاتی مانند MariaDB Vector در صنعت بسیار گسترده است:

موتورهای جستجوی تخصصی: برای جستجوی سریع داده‌های غیرساختاریافته مانند اسناد متنی طولانی، تصاویر، و ویدئوها.
توسعه برنامه‌های مبتنی بر هوش مصنوعی: مانند شناسایی چهره، تحلیل احساسات، پردازش زبان طبیعی، و سیستم‌های توصیه‌گر.
تجزیه و تحلیل داده‌های IoT: دستگاه‌های IoT معمولاً داده‌های غیرساختاریافته تولید می‌کنند که نیاز به تحلیل سریع و موثر دارند. پایگاه‌های داده برداری می‌توانند این تحلیل را تسهیل کنند.

در مجموع، MariaDB Vector راه‌حلی برای نیازهای مدرن به جستجوی داده‌های غیرساختاریافته و پشتیبانی از برنامه‌های هوش مصنوعی است.

در حقیقت MariaDB Vector در پاسخ به نیاز به یکپارچگی و کارایی بالاتر در مدیریت داده‌های غیرساختاریافته و پشتیبانی از هوش مصنوعی بوجود آمد. در گذشته، پایگاه‌های داده سنتی مانند MySQL یا MariaDB عمدتاً برای داده‌های ساختاریافته طراحی شده بودند، و امکان مدیریت و جستجوی داده‌های برداری به صورت بومی نداشتند. اما با رشد نیاز به پردازش داده‌های پیچیده در حوزه‌هایی مانند یادگیری ماشین، هوش مصنوعی، و تحلیل داده‌های بزرگ، نیاز به محصولاتی مانند MariaDB Vector حس شد که توانایی ذخیره، جستجو و پردازش داده‌های برداری را به همراه داشته باشند.

#database #db #vector #bigdata #mariadb #ai #linux

https://t.me/unixmens

مقاله ای که در مورد staging نوشتم . تقدیم دوستان

نویسنده : یاشار اسمعیل دخت

#database #stage #staging #oracle #dba #mariadb #mysql #article

#yashar_esmaildokht


https://t.me/unixmens

مقاله mariadb / oracle mysql api

نویسنده : مهندس یاشار اسمعیل دخت


نسخه : 0.1


MariaDB Connect Engine is a feature of MariaDB that allows users to connect to external data sources and treat them as if they were regular tables in a MariaDB database. This capability is particularly useful for integrating data from various sources without the need to import it into the database. Here are some key points about the MariaDB Connect Engine:

Data Sources: The Connect Engine can connect to a variety of data sources, including other databases (like MySQL, PostgreSQL, and Oracle), NoSQL databases, flat files (CSV, JSON, etc.), and even web services.

Virtual Tables: When you connect to an external data source, the Connect Engine creates virtual tables that represent the data in those sources. You can then perform SQL queries on these virtual tables just like you would with regular tables in MariaDB.

Data Federation: This feature allows for data federation, meaning you can query and join data from multiple sources in a single SQL statement. This is particularly useful for reporting and analytics where data is spread across different systems.

Configuration: To use the Connect Engine, you need to configure it properly by defining the connection parameters and the structure of the external data. This is typically done using SQL commands to create a table that specifies the connection details.

Performance: While the Connect Engine provides flexibility, performance can vary depending on the external data source and the complexity of the queries. It's important to consider the performance implications when designing your data architecture.

Use Cases: Common use cases for the Connect Engine include data integration, reporting, and analytics, where organizations need to access and analyze data from multiple disparate sources without duplicating data.

Installation: The Connect Engine is not enabled by default in all MariaDB installations, so you may need to install it separately or enable it in your MariaDB configuration.

Overall, the MariaDB Connect Engine is a powerful tool for organizations looking to integrate and analyze data from various sources seamlessly.


#mariadb #engine #mysql #oracle #dba #devops #database #yashar_esmaildokht

https://t.me/unixmens

Myth: Switching from one proprietary #database to another is a sticky situation.

Fact: #MariaDB makes it easier than ever to save up to 90% of proprietary database costs with:  
🤝 Open source Oracle and SQL Server compatibility
📈 Advanced features typically found in expensive proprietary systems such as system versioned tables, and workload capture & replay
🔐 Built-in enterprise-grade security 
🏋️ Best-in-class service and support

Have your cake and eat it, too, with #MariaDB Enterprise Platform. 🍰
https://t.me/unixmens

Oracle Enterprise Manager (OEM) Cloud is a comprehensive management solution that provides tools for monitoring, managing, and optimizing Oracle Cloud environments and on-premises databases. When it comes to MySQL and MariaDB, Oracle OEM can be used to manage these databases, although its primary focus is on Oracle databases.
Key Features of Oracle OEM for MySQL/MariaDB

Monitoring and Performance Management:

OEM provides real-time monitoring of MySQL and MariaDB databases, allowing administrators to track performance metrics, query execution times, and resource utilization.
It can help identify slow queries and performance bottlenecks.

Configuration Management:

Administrators can manage database configurations, ensuring that settings are optimized for performance and security.
OEM can help in maintaining consistency across multiple database instances.


Security Management:

The tool can help manage user access and permissions, ensuring that only authorized users have access to sensitive data.
It can also monitor for security vulnerabilities and compliance with best practices.
Reporting and Analytics:
OEM provides reporting capabilities that allow administrators to generate insights into database performance and usage patterns.
Custom dashboards can be created to visualize key metrics.

Integration with Oracle Cloud

When using MySQL or MariaDB in Oracle Cloud, OEM can provide additional benefits:
Unified Management: Manage both Oracle and non-Oracle databases from a single interface.

Cloud-Specific Features:

Leverage cloud-native features such as auto-scaling, high availability, and disaster recovery options that are available in Oracle Cloud.
Considerations
While Oracle OEM is powerful, it is essential to evaluate whether it meets the specific needs of your MySQL or MariaDB environment, especially if you are primarily using these databases.
There may be other specialized tools for MySQL and MariaDB that could offer more tailored features for those specific database systems.
In summary, Oracle OEM Cloud can be a valuable tool for managing MySQL and MariaDB databases, especially in environments that also utilize Oracle databases, providing a unified approach to database management.


Oracle Enterprise Manager (OEM) Cloud is primarily focused on monitoring, managing, and optimizing Oracle databases and environments. While it provides various management features, it is not specifically designed as a dedicated backup solution for MySQL or MariaDB databases.
Backup Capabilities in OEM Cloud

Monitoring Backup Processes: OEM can monitor the status of backup processes if they are initiated through other tools or scripts. It can provide alerts and reports on backup success or failure.

Integration with Backup Solutions: OEM can integrate with third-party backup solutions or scripts that handle the actual backup process. This means you can use OEM to oversee and manage these processes but not perform the backups directly.

Database Management: While OEM can help manage configurations and settings related to backup strategies, it does not replace the need for dedicated backup tools like mysqldump, MySQL Enterprise Backup, or MariaDB Backup.

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Oracle Enterprise Manager for MySQL Overview

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