ob-operator

website·Indexed 29 days ago

https://oceanbase.github.io/ob-operator/

A Kubernetes Operator for managing OceanBase clusters, providing automated lifecycle management including cluster creation, tenant management, resource scaling, and high availability features such as backup, recovery, and physical standby. It includes tools like okctl and the OceanBase Dashboard for operational visibility.

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What's inside ob-operator

  1. Overview of OceanBase SQL Diagnoser

    SQL Diagnoser is an agile diagnostic tool for OceanBase Database designed to identify and analyze SQL performance issues. It utilizes two rule engines:

    • Static Rule Engine: Parses the SQL syntax tree to implement rules based on predicate calculus and implicit conversion.
    • Dynamic Rule Engine: Queries internal performance views (gv$(ob_)sql_audit and gv$(ob_)plan_cache_plan_stat), tables, and indexes to analyze execution exceptions.
  2. Introduction to MiniOB Database Learning Project

    MiniOB is an introductory database learning project developed by the OceanBase team, based on a prototype from Huazhong University of Science and Technology and created in collaboration with multiple universities. It is specifically designed for beginners, students, database practitioners, and enthusiasts to bridge the gap between database theory and engineering practice.
    # Access the MiniOB project on GitHub
    git clone https://github.com/oceanbase/miniob
  3. Overview of the obdiag Special Interest Group (SIG)

    The obdiag SIG is an open-source group focused on the research, development, promotion, and ecosystem construction of agile diagnostic tools for OceanBase. Its primary goal is to create a diagnostic ecosystem characterized by excellent user experience, powerful functionality, and an active community. The group focuses on three key areas: user-oriented utility (e.g., one-click inspection and root cause analysis), continuous product optimization to make OceanBase diagnostics faster and easier, and the co-construction of a diagnostic ecosystem that integrates tools and knowledge.
  4. Overview of OceanBase Development Tools

    The develop-tools suite is designed to improve database development productivity by providing SQL development features, collaborative development for risk management of database changes, data management, and data security. Key tools include:

    • OceanBase Developer Center (ODC): A central hub for database development.
    • Import/Export Tools: OB-LOADER and OB-DUMPER.
    • Developer Libraries: db-browser and ob-sql-parser for integration and secondary development.
  5. Overview of OceanBase V4.x Integrated Architecture

    OceanBase Database V4.x introduces an integrated architecture that combines the benefits of standalone and distributed modes. The goal is to provide the high performance and low complexity of a standalone system alongside the flexible scalability and high availability of a distributed system. This architecture is designed based on the observation that in most B2C businesses, approximately 80% of operations are performed on single nodes (e.g., user-specific actions), while only 20% are cross-node operations.
  6. Overview of DB-GPT Framework

    DB-GPT is an open-source AI-native data application development framework utilizing Agentic Workflow Expression Language (AWEL) and Agents. It provides infrastructure for large model management (SMMF), Text2SQL optimization, RAG frameworks, and Multi-Agent collaboration to simplify the creation of LLM applications centered around databases.
  7. Overview of OceanBase Vector Database capabilities

    OceanBase Database provides a distributed storage engine capable of storing massive amounts of vector data and utilizes parallel query execution on partitions to enable efficient vector-based approximate retrieval. By converting unstructured data into embeddings (vector data), the system improves data security (by hiding raw unstructured data from administrators) and enables semantic-based search where similar text, images, or videos have close vector values.

    Key supported architectures include:

    • Approximate Search: Used for search recommendations, data classification, deduplication, and providing vector inputs for generative models (e.g., style transfer).
    • Retrieval-Augmented Generation (RAG): Used for private knowledge base Q&A and Text2SQL applications.
  8. Overview of OceanBase Database Proxy (ODP)

    OceanBase Database Proxy (ODP) is a stateless proxy server that sits between business applications and OBServer nodes. It masks the complexity of a distributed database, allowing it to be used similarly to a standalone database. Key functions include:

    • Data Routing: ODP tracks data distribution across OBServer nodes and forwards SQL statements to the node containing the required data (e.g., routing a specific partition leader), improving execution efficiency.
    • Connection Management: ODP maintains stable connections to clients while managing a pool of connections to multiple backend OBServer nodes. It uses version-number-based incremental synchronization to maintain session status, preventing client disconnects during OBServer maintenance or failures.
    • Scalability: ODP is stateless and supports unlimited horizontal scale-out.
  9. Overview of OceanBase 4.x DBA Learning Paths

    OceanBase provides two primary learning tracks for Database Administrators (DBAs) using the Community Edition:

    1. DBA Beginner Tutorial: Focuses on initial setup, including cluster installation and deployment, data migration, basic testing, and an introduction to peripheral platform tools.
    2. DBA Advanced Tutorial (OceanBase 4.x): Designed for users performing POC tests or running production workloads. It covers three main areas:
      • Best Practices: Guidance for operation management, migration/synchronization, parameter templates, and specific scenarios such as OLAP, high concurrency, SaaS multi-tenancy, archive/history databases, and read-write splitting.
      • Troubleshooting Manuals: Detailed guides for diagnosing issues within OBD, OMS, ODP, and OBServer, as well as instructions for using automated diagnostic functions.
      • Database Development Standards: Specifications for tenant usage, database object design, SQL development standards, and known system limitations.

    Note: The Advanced Tutorial currently targets the Community Edition and does not cover commercial-only features such as the Arbiter replica.

  10. Overview of Direct Load in OceanBase

    Direct load is a high-performance data loading technology in OceanBase designed for large-scale data migration, synchronization, and ETL/ELT processes. It improves import performance by bypassing some conventional SQL interface overhead.

    Key Constraints:

    • Direct load writes all existing data; it is inappropriate if only a small amount of data needs to be imported from a large source.
    • A lock is added to the table during import; therefore, two statements cannot write to the same table simultaneously.
    • Not supported for tables with triggers.
    • LOB type data is supported but performance is poor as it still uses transactions.
    • Cannot be executed within multi-row transactions.
  11. Overview of OceanBase Compilation SIG Goals and Scope

    The OceanBase Compilation Special Interest Group (SIG) focuses on improving the compilation efficiency and cross-platform compatibility of the OceanBase database system. Its primary objectives are to optimize performance, enhance stability across diverse computing environments, and foster technical exchange and user support.

    The SIG's scope of work includes:

    1. Addressing compilation issues, including the compilation process itself, compiler selection, and compilation optimizations.
    2. Resolving compatibility issues related to various operating systems and hardware architectures.
    3. Researching and discussing compilation techniques specifically for large-scale C++ projects.
  12. Overview of OceanBase Developer Center (ODC)

    OceanBase Developer Center (ODC) is a GUI-based development tool and collaborative management platform designed for data development and production changes. It is available in two forms: Web ODC (recommended) and Client ODC. Web ODC supports both Individual Workspace (for individual developers) and Team Workspace (for collaboration between developers and DBAs), providing features like project collaboration, data security, and hot/cold data separation.