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new d717476a8e6 [INLONG-1142][Release] Add blog for the 2.2.0 release
(#1151)
d717476a8e6 is described below
commit d717476a8e6094ff153b983e48a386a18df8023c
Author: vernedeng <[email protected]>
AuthorDate: Tue Jun 10 10:16:04 2025 +0800
[INLONG-1142][Release] Add blog for the 2.2.0 release (#1151)
Co-authored-by: vernedeng <[email protected]>
---
blog/2025-05-14-release-2.2.0.md | 97 +++++++++++++++++++
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+---
+title: Version 2.2.0 Released
+author: vernedeng
+author_url: https://github.com/vernedeng
+author_image_url: https://avatars.githubusercontent.com/vernedeng
+tags: [Apache InLong, Version]
+---
+
+Apache InLong (应龙) recently released version 2.2.0, which resolved 87 issues,
including 3 major features and 80+ optimizations. Key enhancements focus on
improving Agent stability and resource management in data collection,
multi-language SDK support with performance optimizations, and enhanced traffic
control capabilities for Sort. This version also optimizes the operational and
maintenance experience for Apache InLong. Additionally, numerous other features
were implemented in Apache In [...]
+<!--truncate-->
+
+## About Apache InLong
+
+As the industry's first one-stop, all-scenario massive data integration
framework, Apache InLong (Yinglong) delivers automated, secure, reliable, and
high-performance data transmission capabilities. It enables businesses to
rapidly build stream-based data analysis, modeling, and applications.
Currently, InLong is widely used across industries such as advertising,
payment, social media, gaming, and artificial intelligence, serving thousands
of business use cases. It handles over a million [...]
+
+The core positioning of InLong revolves around three keywords: "one-stop,"
"all-scenario," and "massive data." For "one-stop," InLong aims to shield
technical complexities by providing complete data integration and supporting
services for out-of-the-box usability. For "all-scenario," it offers
comprehensive solutions covering common data integration scenarios in big data
ecosystems. For "massive data," its architecture leverages data pipeline
layering, fully extensible components, and bu [...]
+
+## Overview of Version 2.2.0
+
+Apache InLong (应龙) recently released version 2.2.0, which resolved 87 issues,
including 3 major features and 80+ optimizations. Key enhancements include:
+
+- **Agent**: Improved stability in data collection and resource management
capabilities
+- **SDK**: Multi-language support and performance optimizations
+- **Sort**: Enhanced traffic control capabilities
+
+This version also optimizes the operational and maintenance experience for
Apache InLong. Other significant features are detailed below.
+
+### Dashboard Module
+- Fixed page refresh issues after switching
+- Optimized user login verification logic
+
+### Manager Module
+- Added support for SQL data sources
+- Enhanced JDBC validation
+- Enabled configuration of Inlong Properties metadata for Pulsar data sources
+
+### Agent Module
+- Optimized instance lifecycle control mechanism
+- Introduced global instance count limits
+- Fixed duplicate file collection issues
+- Enhanced recovery capabilities in exceptional scenarios
+- Improved accuracy in log collection
+
+### Sort Module
+- Introduced traffic control for SortStandalone
+- Optimized escaping processing for KV/CSV formats
+- Added Exactly Once audit reporting for MySQL CDC
+
+### SDK Module
+- Go SDK: Added connection pool lifetime limits to improve stability in
high-concurrency scenarios
+- Optimized JAVA SDK implementations
+- SortSDK: Shared a single PulsarClient across SortTasks to avoid performance
bottlenecks from excessive clients
+
+### Audit Module
+- Supported CDC auditing for MySQL Binlog
+
+### TubeMQ Module
+- Fixed intermittent consumption interruption issues
+- Saved consumption offsets to local files
+
+## Key Features of Version 2.2.0
+
+### DataProxy SDK Refactoring
+The original SDK provided two separate Sender objects for TCP and HTTP
reporting protocols, with independent logic and high maintenance costs. Error
returns were coarse-grained without detailed error categorization.
+
+This version reconstructs the DataProxy Java SDK to reduce user complexity:
+- **Decoupled Sender construction and initialization**: Heavy operations
(e.g., thread pool initialization, metadata fetching) are moved from the
constructor to a new `start()` method, allowing faster object creation and
explicit startup control.
+- **TCP reporting with QoS**: Three modes are introduced:
+ - *QoS 0*: SDK sends continuously without awaiting responses; DataProxy
forwards requests silently.
+ - *QoS 1*: SDK awaits DataProxy acknowledgment before DataProxy forwards
to MQ. 
+ - *QoS 2*: SDK awaits MQ-level confirmation from DataProxy
+
+ *Contributed by [@gosonzhang](https://github.com/gosonzhang) via
[INLONG-11729](https://github.com/apache/inlong/pull/11730) and
[INLONG-11720](https://github.com/apache/inlong/pull/11721)*.
+
+### Enhanced Agent Stability and Resource Management
+Agent now enforces a global instance limit (default: 100, configurable via
`agent.instance.limit`). Requests to add tasks are rejected if they exceed this
limit, preventing resource exhaustion.
+
+
+
+*Contributed by [@justinwwhuang](https://github.com/justinwwhuang) via
[INLONG-11760](https://github.com/apache/inlong/issues/11760) and
[INLONG-11776](https://github.com/apache/inlong/issues/11776)*.
+
+### Sort Traffic Control Enhancements
+Previously, SortStandalone allocated up to 1/3 of resources to new tasks,
leading to idle resource waste. Version 2.2.0 introduces:
+- **Lazy-loaded Flow Controller**: Physical resources are allocated only when
a task's data stream is consumed.
+- **Dynamic resource allocation**: Resources scale based on actual traffic
demand.
+- **Failure handling**: Blocks data flow for high-failure-rate tasks to
prevent systemic degradation.
+
+*Contributed by [@luchunliang](https://github.com/luchunliang) via
[INLONG-11836](https://github.com/apache/inlong/issues/11836) and
[INLONG-11841](https://github.com/apache/inlong/issues/11841)*.
+
+## Future Plans
+In version 2.1.0, we have enriched and improved our operational capabilities.
Welcome everyone to use it. If you have more scenarios and requirements, or
encounter any problems during use, please feel free to raise issues and PR. In
future versions, the InLong community will continue to:
+- Supporting more data source connectors
+- Expanding real-time synchronization sources and targets
+- Optimizing SDK capabilities and usability
+- Improving Dashboard experience
+
+We welcome contributions from developers interested in InLong!
\ No newline at end of file
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diff --git
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@@ -0,0 +1,107 @@
+---
+title: 2.2.0 版本发布
+author: vernedeng
+author_url: https://github.com/vernedeng
+author_image_url: https://avatars.githubusercontent.com/vernedeng
+tags: [Apache InLong, Version]
+---
+
+Apache InLong（应龙） 最近发布了 2.2.0 版本，该版本关闭了 87 个 issue，包含 3 个大特性和 80+ 个优化，主要完成了
Agent 提升数据采集的稳定性和资源管理能力、SDK 多语言支持与性能优化、Sort 流量控制能力增强。同时优化 Apache InLong
运营运维的使用体验。Apache InLong 2.2.0 版本中，还完成了大量其它特性。
+<!--truncate-->
+
+## 关于 Apache InLong
+
+作为业界首个一站式、全场景海量数据集成框架，Apache InLong（应龙）
提供了自动、安全、可靠和高性能的数据传输能力，方便业务快速构建基于流式的数据分析、建模和应用。目前 InLong
正广泛应用于广告、支付、社交、游戏、人工智能等各个行业领域，服务上千个业务，其中高性能场景数据规模超百万亿条/天，高可靠场景数据规模超十万亿条/天。
+InLong
项目定位的核心关键词是“一站式”、“全场景”和“海量数据”。对于“一站式”，我们希望屏蔽技术细节、提供完整数据集成及配套服务，实现开箱即用；对于“全场景”，我们希望提供全方位的解决方案，覆盖大数据领域常见的数据集成场景；对于“海量数据”，我们希望通过架构上的数据链路分层、全组件可扩展、自带多集群管理等优势，在百万亿条/天的基础上，稳定支持更大规模的数据量。
+## 2.2.0 版本总览
+
+Apache InLong（应龙） 最近发布了 2.2.0 版本，该版本关闭了 87 个 issue，包含 3 个大特性和 80+ 个优化，主要完成了
+
+- Agent 提升数据采集的稳定性和资源管理能力
+- SDK 多语言支持与优化
+- Sort 流量控制能力增强
+
+同时优化 Apache InLong 运营运维的使用体验。Apache InLong 2.2.0 版本中，还完成了大量其它特性。
+
+### Dashboard 模块
+
+- 修复页面切换后刷新问题
+- 优化用户登录验证逻辑
+
+### Manager 模块
+
+- 支持 SQL 数据源
+- JDBC 校验增强
+- Pulsar 数据源支持配置 Inlong Properties 元数据
+
+### Agent 模块
+
+- 优化实例生命周期控制机制
+- 支持全局实例数量限制
+- 修复重复文件采集问题
+- 增强异常场景下的恢复能力
+- 提升日志采集准确性
+
+### Sort 模块
+
+- 为 SortStandalone 引入流量控制
+- 优化 KV/CSV 格式的转义处理
+- MySQL CDC 支持 Exactly Once 审计上报
+
+### SDK 模块
+
+- Go SDK 增加连接池生存时间限制，提升高并发场景稳定性
+- 优化 JAVA SDK 相关实现
+- SortSDK 在不同的 SortTask 之间共享同一个 PulsarClient，避免过多的 PulsarClient 造成性能瓶颈
+
+### Audit 模块
+
+- 支持 MySQL Binlog 的 CDC 审计
+
+### TubeMQ 模块
+
+- 修复偶发的消费中断问题
+- 本地文件保存消费偏移量
+
+## 2.2.0 版本主要特性
+
+### DataProxy SDK 重构
+原有 SDK 针对 TCP，HTTP 上报协议分别提供了 2 个不同的 Sender
对象，不仅对象名不同，实现上也是两条独立的逻辑线，对于重叠的功能需要在多处修改，维护成本比较高。同时，SDK
调用出错返回只有一个粗粒度的错误码，具体的错误详情没有细分。
+在此版本中，我们重构了 DataProxy Java SDK 的实现，大幅降低了用户使用和理解的成本。主要有下面几点的优化：
+- Sender 对象构造与初始化解耦。之前版本里，SDK 在初始化对象时候进行了一些线程操作，包括初始化线程池，与 Manager
交互进行联网访问以获取元数据等，由于网络交互会尝试多次并且可能耗费很长时间，使得对象创建不能快速返回；新版本里针对这块将对象的创建与重逻辑做拆解，新加了一个
start() 函数, 创建对象后需要调用 start()，便于业务构造对象和启动对象两个环节分开。
+- TCP 上报方式增加 QoS。新版本针对业务数据上报要求提供了三种不同的上报模式：
+ （1） QoS 0 上报模式：SDK 持续不断的上报请求并且无响应消息需要处理；DataProxy 收到请求消息后不会回应 SDK
响应消息，而是直接将请求转发给 MQ；如果 DataProxy 转发失败则继续重试，直到重试次数达到上限或者重试成功：
+ 
+ （2） QoS 1 上报模式：SDK 上报请求后会等待响应消息的到达；DataProxy 收到 SDK 上报请求后立即反馈给 SDK
一个响应消息告知请求是否已接纳，然后 DataProxy 再将接收到的请求消息转发给 MQ，如果 DataProxy
转发失败则继续重试，直到重试次数达到上限或者重试成功：
+ 
+ （3） QoS 2 上报模式：SDK 上报请求后会等待响应消息的到达；DataProxy 收到 SDK 上报请求不会反馈
SDK响应消息，而是将接收到的请求消息转发给 MQ 并且接收到 MQ 对转发的请求的响应消息后，再将响应结果返回给
SDK；从接收请求到转发请求过程中遇到失败，DataProxy 不会重试：
+ 
+ 感谢 [@gosonzhang](https://github.com/gosonzhang) 对此功能的贡献，具体可以参考
[INLONG-11729](https://github.com/apache/inlong/pull/11730) 和
[INLONG-11720](https://github.com/apache/inlong/pull/11721)。
+
+### Agent 提升数据采集的稳定性和资源管理能力
+Agent 支持增加全局实例控制，当新增任务后 Agent 总实例数大于配置的最大的实例限制，则会拒绝该任务添加请求。
+
+全局实例最大值默认为 100，可以在配置文件中通过 agent.instance.limit 参数进行配置。
+感谢 [@justinwwhuang](https://github.com/justinwwhuang) 对此功能的贡献，具体请参考
[INLONG-11760](https://github.com/apache/inlong/issues/11760) 和
[INLONG-11776](https://github.com/apache/inlong/issues/11776)。
+
+### Sort 流量控制能力增强
+在历史版本中，SortStandalone 对于新增的 task 总是分配至多 1/3 的物理资源。即使该 task 长时间处于空闲状态，剩余 task
最多只能使用 2/3 的内存资源，造成较大的资源浪费。
+该版本中，SortStandalone 进一步增强了流量控制的能力。在启动时，Flow Controller 实行懒加载模式，并不会真正为每个 task
分配实际的物理资源。
+
+当 task 的数据流被消费到后，会先向 Flow Controller 申请资源，此时才会触发实际的物理资源分配。
+
+当发现某个 task 的失败率突增，Flow Controller 会短暂暂停数据流的读取，等待队列中数据重试完成，避免整体服务性能因为单个 task
的阻塞而大幅下降。
+
+
+感谢[@luchunliang](https://github.com/luchunliang) 对此功能的贡献，具体请参考
[INLONG-11836](https://github.com/apache/inlong/issues/11836) 和
[INLONG-11841](https://github.com/apache/inlong/issues/11841)。
+
+## 未来规划
+
+在 2.2.0 版本中，我们丰富、完善了运维能力。欢迎大家使用，如果有更多场景和需求，或者使用期间遇到的问题， 欢迎大家提 Issue 和
PR。在后续的版本中，InLong 社区将继续：
+
+- 支持更多数据源采集能力
+- 实时同步支持更多数据源、数据目标
+- 优化 SDK 能力和使用体验
+- 优化 Dashboard 体验
+
+我们也期待更多对 InLong 感兴趣的开发者可以参与贡献。
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