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+# pg_waldump in Apache Cloudberry
+
+Apache Cloudberry offers a robust mechanism for inspecting Write-Ahead Log (WAL) files, aiding users in analyzing database changes, tracking operations, and diagnosing issues. The `pg_waldump` functionality in Cloudberry emulates the `pg_waldump` utility found in PostgreSQL, with enhancements tailored for Cloudberry's distributed architecture.
+
+## Features
+
+- **WAL Analysis**: The `pg_waldump` function in Cloudberry allows users to parse and decode WAL files, presenting a human-readable format of the log data.
+- **Multi-Node Support**: Unlike PostgreSQL's single-node setup, Cloudberry's `pg_waldump` supports analyzing WAL logs across distributed nodes, making it suitable for distributed databases.
+- **Customizable Output**: The output format can be adjusted based on user preferences, including the level of detail and specific data points to be logged.
+- **Real-Time Monitoring**: Cloudberry enhances `pg_waldump` with real-time monitoring capabilities, allowing users to track WAL activities as they occur.
+- **Error Diagnosis**: The tool assists in identifying errors or anomalies within the WAL entries, aiding in troubleshooting issues related to database integrity and replication.
+
+## Usage
+
+1. **Access pg_waldump**: Connect to the Cloudberry instance using the command-line interface (CLI).
+2. **Run the Command**: Execute the `pg_waldump` command with the appropriate options to start analyzing the WAL logs. A basic example is:
+   ```bash
+   pg_waldump --nodes=node1,node2 --format=human --level=high
+
+## Options
+
+Here are some common options for `pg_waldump`:
+
+- `-f, --format`: Output format (e.g., plain text, JSON).
+- `-p, --pagesize`: Set the WAL page size.
+- `-c, --cluster`: Analyze a specific PostgreSQL cluster.
+- `-l, --list`: List available WAL segments.
+- `-s, --start`: Start point of WAL decoding.
+- `-e, --end`: End point of WAL decoding.
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+
+### 中文版本: Apache Cloudberry中的pg_waldump
+
+```markdown
+# Apache Cloudberry中的pg_waldump
+
+Apache Cloudberry提供了一种强大的机制，用于检查预写日志（WAL）文件，帮助用户分析数据库变化、跟踪操作以及诊断问题。Cloudberry中的`pg_waldump`功能模仿了PostgreSQL中的`pg_waldump`工具，但针对Cloudberry的分布式架构进行了增强。
+
+## 功能特点
+
+- **WAL分析**：Cloudberry中的`pg_waldump`功能允许用户解析和解码WAL文件，提供易于理解的日志数据格式。
+- **多节点支持**：与PostgreSQL的单节点设置不同，Cloudberry的`pg_waldump`支持跨分布式节点分析WAL日志，适用于分布式数据库。
+- **可定制输出**：输出格式可以根据用户偏好进行调整，包括日志的详细程度和特定数据点。
+- **实时监控**：Cloudberry增强了`pg_waldump`的实时监控功能，允许用户实时跟踪WAL活动。
+- **错误诊断**：该工具有助于识别WAL条目中的错误或异常，协助排查与数据库一致性和复制相关的问题。
+
+## 使用方法
+
+1. **访问pg_waldump**：使用命令行接口（CLI）连接到Cloudberry实例。
+2. **运行命令**：执行`pg_waldump`命令，并使用适当的选项开始分析WAL日志。基本示例如下：
+   ```bash
+   pg_waldump --nodes=node1,node2 --format=human --level=high
+
+## 选项
+
+以下是`pg_waldump`的常用选项：
+
+- `-f, --format`: 输出格式（如纯文本、JSON）。
+- `-p, --pagesize`: 设置WAL的页面大小。
+- `-c, --cluster`: 分析特定的PostgreSQL集群。
+- `-l, --list`: 列出可用的WAL段。
+- `-s, --start`: WAL解码的起始点。
+- `-e, --end`: WAL解码的结束点。