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Technical Features and Basic Concepts

The containerized PostgreSQL database provided in DCE 5.0 Enterprise Package offers the following features:

  • Multiversion Concurrency Control (MVCC)

    PostgreSQL's MVCC mechanism greatly improves concurrency control, allowing transactions to execute in a non-blocking manner and avoiding deadlock situations.

  • Replication and High Availability

    Supports various replication and high availability solutions, including master-slave replication, streaming replication, and logical replication. These solutions provide data redundancy and automatic failover capabilities, thereby improving system availability.

  • Security

    Provides strict security measures, including Access Control Lists (ACL), encrypted communication, password authentication, and audit logging. These measures ensure the security and integrity of the database.

  • Scalability

    Allows users to enhance its functionality through extensions. For example, users can define custom types, functions, operators, and indexes. These extensions enhance the capabilities and adaptability of PostgreSQL.

  • Performance Optimization

    Provides mechanisms for performance optimization, including index optimization, query optimization, and configuration optimization. PostgreSQL also offers powerful statistical information and real-time monitoring tools to help users troubleshoot and optimize performance issues.

  • Support for JSON and JSONB Data Types

    Supports direct storage and processing of data in JSON format, making PostgreSQL a useful NoSQL database.

  • Full-Text Search Support

    Built-in full-text search functionality enables efficient searching and matching of large amounts of text data.

  • Support for Geospatial Data Types

    Supports storage and querying of geospatial data, making PostgreSQL a valuable GIS database.

  • Support for Partitioned Tables

    Supports partitioning a large table into multiple smaller tables for storage and querying, which improves query efficiency and ease of management.

  • Concurrency Control Support

    Improves concurrency control capabilities through the MVCC mechanism. PostgreSQL also supports multiple isolation levels, including Read Committed, Repeatable Read, and Serializable.

  • Support for Stored Procedure Languages such as PL/SQL and PL/Python

    Supports various stored procedure languages, including PL/SQL, PL/Python, and PL/Perl, allowing PostgreSQL to be integrated with other programming languages for development and extension purposes.

  • Instance Monitoring

    PostgreSQL provides multiple monitoring methods, including built-in statistical views (such as pg_stat_activity, pg_stat_replication, etc.), which allow real-time inspection of connection status, transaction activity, lock waits, and replication lag. Combined with external monitoring tools (such as Prometheus, Zabbix, and pgAdmin), PostgreSQL enables comprehensive instance-level monitoring and alerting, helping administrators detect and resolve potential issues in time to ensure stable database operations.

  • Backup Management

    Supports multiple backup and recovery methods, including logical backups (such as pg_dump, pg_restore) and physical backups (such as pg_basebackup). Logical backups are suitable for small datasets and cross-version migrations, while physical backups are suited for large-scale databases requiring rapid recovery. Combined with WAL (Write-Ahead Log) archiving, PostgreSQL enables Point-in-Time Recovery (PITR), enhancing data security and reliability. With automation scripts or backup management tools (such as Barman and pgBackRest), enterprises can achieve scheduled backups, backup validation, and centralized management, fulfilling disaster recovery and compliance requirements.

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