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Posted to commits@inlong.apache.org by do...@apache.org on 2022/07/25 02:08:47 UTC
[inlong-website] branch master updated: [INLONG-484][Website] Blog display article summary (#485)
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dockerzhang pushed a commit to branch master
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The following commit(s) were added to refs/heads/master by this push:
new 3404c3e2b [INLONG-484][Website] Blog display article summary (#485)
3404c3e2b is described below
commit 3404c3e2bdc70256a83c33a4511bfedf9a2804fb
Author: Lizhen <88...@users.noreply.github.com>
AuthorDate: Mon Jul 25 10:08:42 2022 +0800
[INLONG-484][Website] Blog display article summary (#485)
---
blog/2021-11-10-release-0.11.0.md | 5 +++++
blog/2022-01-04-release-0.12.0.md | 4 ++++
blog/2022-04-25-release-1.1.0.md | 4 ++++
blog/2022-06-16-inlong-sort-etl.md | 4 ++++
blog/2022-06-22-release-1.2.0.md | 4 ++++
.../docusaurus-plugin-content-blog/2021-11-10-release-0.11.0.md | 5 +++++
.../docusaurus-plugin-content-blog/2022-01-04-release-0.12.0.md | 4 ++++
.../zh-CN/docusaurus-plugin-content-blog/2022-04-25-release-1.1.0.md | 4 ++++
.../docusaurus-plugin-content-blog/2022-06-16-inlong-sort-etl.md | 4 ++++
.../zh-CN/docusaurus-plugin-content-blog/2022-06-22-release-1.2.0.md | 4 ++++
10 files changed, 42 insertions(+)
diff --git a/blog/2021-11-10-release-0.11.0.md b/blog/2021-11-10-release-0.11.0.md
index ed350f201..60087fb77 100644
--- a/blog/2021-11-10-release-0.11.0.md
+++ b/blog/2021-11-10-release-0.11.0.md
@@ -1,8 +1,13 @@
---
title: Release InLong 0.11.0
+author: dockerzhang
+tags: [Apache InLong, Version]
---
Apache InLong (incubating) has been renamed from the original Apache TubeMQ (incubating) from 0.9.0. With the name change, InLong has also been upgraded from a single message queue to a one-stop integration framework for massive data. InLong supports data collection, aggregation, caching, and sorting, users can import data from the data source to the real-time computing engine or land to offline storage with a simple configuration.
+
+<!--truncate-->
+
The just-released version `0.11.0-incubating` is the third version after the name changed. This version includes next features:
- Lower the user's threshold for use further. Support all modules of InLong to be deployed on Kubernetes, and refactor the official website, so that users can more easily access related documents.
- Support more usage scenarios, increase the data flow direction of `Dataproxy -> Pulsar`, and cover scenarios with higher requirements for data integrity and consistency.
diff --git a/blog/2022-01-04-release-0.12.0.md b/blog/2022-01-04-release-0.12.0.md
index 392215fe8..98bcabecc 100644
--- a/blog/2022-01-04-release-0.12.0.md
+++ b/blog/2022-01-04-release-0.12.0.md
@@ -1,9 +1,13 @@
---
title: Release InLong 0.12.0
+author: gosonzhang
+tags: [Apache InLong, Version]
---
InLong: the sacred animal in Chinese myths stories, draws rivers into the sea, as a metaphor for the InLong system to provide data access capabilities.
+<!--truncate-->
+
Apache InLong is a one-stop integration framework for massive data that provides automatic, secure and reliable data transmission capabilities. InLong supports both batch and stream data processing at the same time, which offers great power to build data analysis, modeling and other real-time applications based on streaming data.
The 0.12.0-incubating just released mainly includes the following:
- Provide automatic, safe, reliable and high-performance data transmission capabilities, while supporting batch and streaming
diff --git a/blog/2022-04-25-release-1.1.0.md b/blog/2022-04-25-release-1.1.0.md
index a7d5fc0dd..5091964ad 100644
--- a/blog/2022-04-25-release-1.1.0.md
+++ b/blog/2022-04-25-release-1.1.0.md
@@ -1,9 +1,13 @@
---
title: Release InLong 1.1.0
+author: dockerzhang
+tags: [Apache InLong, Version]
---
Apache InLong is a one-stop integration framework for massive data that provides automatic, secure and reliable data transmission capabilities. InLong supports both batch and stream data processing at the same time, which offers great power to build data analysis, modeling and other real-time applications based on streaming data.
+<!--truncate-->
+
## 1.1.0 Features Overview
The 1.1.0-incubating just released mainly includes the following:
diff --git a/blog/2022-06-16-inlong-sort-etl.md b/blog/2022-06-16-inlong-sort-etl.md
index 27673bc68..d37b1eb25 100644
--- a/blog/2022-06-16-inlong-sort-etl.md
+++ b/blog/2022-06-16-inlong-sort-etl.md
@@ -1,5 +1,7 @@
---
title: Analysis of InLong Sort ETL Solution
+author: Oneal65
+tags: [Apache InLong, Sort]
---
# Analysis of InLong Sort ETL Solution Based on Apache Flink SQL
@@ -8,6 +10,8 @@ title: Analysis of InLong Sort ETL Solution
With the increasing number of users and developers of Apache InLong(incubating), the demand for richer usage scenarios and low-cost operation is getting stronger and stronger. Among them, the demand for adding Transform (T) to the whole link of InLong has received the most feedback. After the research and design of @yunqingmoswu, @EMsnap, @gong, @thexiay community developers, the InLong Sort ETL solution based on Flink SQL has been completed. This article will introduce the implementatio [...]
+<!--truncate-->
+
Firstly, based on Apache Flink SQL, there are mainly the following considerations：
- Flink SQL has high scalability and flexibility brought about by its powerful expression ability. Basically, Flink SQL can support most demand scenarios in the community. When the built-in functions of Flink SQL do not meet the requirements, we can also extend them through various UDFs.
diff --git a/blog/2022-06-22-release-1.2.0.md b/blog/2022-06-22-release-1.2.0.md
index efd0f114a..6bb8ceb1f 100644
--- a/blog/2022-06-22-release-1.2.0.md
+++ b/blog/2022-06-22-release-1.2.0.md
@@ -1,10 +1,14 @@
---
title: Release InLong 1.2.0
+author: healchow
+tags: [Apache InLong, Version]
---
Apache InLong is a one-stop integration framework for massive data that provides automatic, secure and reliable data transmission capabilities.
InLong supports both batch and stream data processing at the same time, which offers great power to build data analysis, modeling and other real-time applications based on streaming data.
+<!--truncate-->
+
## 1.2.0 Features Overview
**The just-released 1.2.0-incubating version closes about 410+ issues, contains 30+ features and 190+ optimizations.**
Mainly include the following:
diff --git a/i18n/zh-CN/docusaurus-plugin-content-blog/2021-11-10-release-0.11.0.md b/i18n/zh-CN/docusaurus-plugin-content-blog/2021-11-10-release-0.11.0.md
index 309b137f6..398298ea8 100644
--- a/i18n/zh-CN/docusaurus-plugin-content-blog/2021-11-10-release-0.11.0.md
+++ b/i18n/zh-CN/docusaurus-plugin-content-blog/2021-11-10-release-0.11.0.md
@@ -1,8 +1,13 @@
---
title: 0.11.0 版本发布
+author: dockerzhang
+tags: [Apache InLong, Version]
---
Apache InLong(incubating) 从 0.9.0 版本开始由原 Apache TubeMQ（incubating）改名而来，伴随着名称的改变，InLong 也由单一的消息队列升级为一站式海量数据集成框架，支持了大数据领域的采集、汇聚、缓存和分拣功能，用户只需要简单的配置就可以把数据从数据源导入到实时计算引擎或者落地到离线存储。
+
+<!--truncate-->
+
刚刚发布的 0.11.0-incubating 版本是改名之后的第三个版本，这个版本：
- 进一步降低用户的使用门槛，支持 InLong 所有模块 on Kubernets，并且对官网进行了重构，用户可以更加方便的查阅相关文档
- 支持更多的业务场景，增加 Dataproxy -> Pulsar 的数据流向，覆盖对数据完整性、一致性要求更高的场景
diff --git a/i18n/zh-CN/docusaurus-plugin-content-blog/2022-01-04-release-0.12.0.md b/i18n/zh-CN/docusaurus-plugin-content-blog/2022-01-04-release-0.12.0.md
index 5e1d5900f..2d23d4cb6 100644
--- a/i18n/zh-CN/docusaurus-plugin-content-blog/2022-01-04-release-0.12.0.md
+++ b/i18n/zh-CN/docusaurus-plugin-content-blog/2022-01-04-release-0.12.0.md
@@ -1,11 +1,15 @@
---
title: 0.12.0 版本发布
+author: gosonzhang
+tags: [Apache InLong, Version]
---
InLong(应龙) : 中国神话故事里的神兽，引流入海，借喻 InLong 系统提供数据接入能力。
Apache InLong（应龙）是一个一站式海量数据集成框架，提供自动、安全、可靠和高性能的数据传输能力，同时支持批和流，方便业务构建基于流式的数据分析、建模和应用。InLong支持大数据领域的采集、汇聚、缓存和分拣功能，用户只需要简单的配置就可以把数据从数据源导入到实时计算引擎或者落地到离线存储。
+<!--truncate-->
+
刚刚发布的 0.12.0-incubating 主要包括以下内容：
- 提供自动、安全、可靠和高性能的数据传输能力，同时支持批和流
- 对官网文档结构进行重构，方便用户根据主线查阅相关文档
diff --git a/i18n/zh-CN/docusaurus-plugin-content-blog/2022-04-25-release-1.1.0.md b/i18n/zh-CN/docusaurus-plugin-content-blog/2022-04-25-release-1.1.0.md
index bf64cbbda..33ae4adf8 100644
--- a/i18n/zh-CN/docusaurus-plugin-content-blog/2022-04-25-release-1.1.0.md
+++ b/i18n/zh-CN/docusaurus-plugin-content-blog/2022-04-25-release-1.1.0.md
@@ -1,9 +1,13 @@
---
title: 1.1.0 版本发布
+author: dockerzhang
+tags: [Apache InLong, Version]
---
Apache InLong（应龙）是一个一站式海量数据集成框架，提供自动、安全、可靠和高性能的数据传输能力，同时支持批和流，方便业务构建基于流式的数据分析、建模和应用。InLong支持大数据领域的采集、汇聚、缓存和分拣功能，用户只需要简单的配置就可以把数据从数据源导入到实时计算引擎或者落地到离线存储。
+<!--truncate-->
+
## 1.1.0 版本特性总览
刚刚发布的 1.1.0-incubating 主要包括以下内容：
diff --git a/i18n/zh-CN/docusaurus-plugin-content-blog/2022-06-16-inlong-sort-etl.md b/i18n/zh-CN/docusaurus-plugin-content-blog/2022-06-16-inlong-sort-etl.md
index 79498725b..b5ceae3bf 100644
--- a/i18n/zh-CN/docusaurus-plugin-content-blog/2022-06-16-inlong-sort-etl.md
+++ b/i18n/zh-CN/docusaurus-plugin-content-blog/2022-06-16-inlong-sort-etl.md
@@ -1,5 +1,7 @@
---
title: InLong Sort ETL 方案解析
+author: Oneal65
+tags: [Apache InLong, Sort]
---
# 基于 Apache Flink SQL 的 InLong Sort ETL 方案解析
@@ -8,6 +10,8 @@ title: InLong Sort ETL 方案解析
随着 Apache InLong(incubating) 的用户和开发者逐渐增多，更丰富的使用场景和低成本运营诉求越来越强烈，其中，InLong 全链路增加 Transform（T）的需求反馈最多。经过@yunqingmoswu、@EMsnap、@gong、@thexiay 社区开发者的调研和设计，完成了基于 Flink SQL 的 InLong Sort ETL 方案，本文将详细介绍该方案的实现细节。
+<!--truncate-->
+
首先，基于 Apache Flink SQL 主要有以下方面的考量：
- Flink SQL 拥有强大的表达能力带来的高可扩展性、灵活性，基本上 Flink SQL 能支持社区大多数需求场景。当 Flink SQL 内置的函数不满足需求时，我们还可通过各种UDF来扩展。
diff --git a/i18n/zh-CN/docusaurus-plugin-content-blog/2022-06-22-release-1.2.0.md b/i18n/zh-CN/docusaurus-plugin-content-blog/2022-06-22-release-1.2.0.md
index c3e0cfa26..92617ba8c 100644
--- a/i18n/zh-CN/docusaurus-plugin-content-blog/2022-06-22-release-1.2.0.md
+++ b/i18n/zh-CN/docusaurus-plugin-content-blog/2022-06-22-release-1.2.0.md
@@ -1,10 +1,14 @@
---
title: 1.2.0 版本发布
+author: healchow
+tags: [Apache InLong, Version]
---
Apache InLong（应龙）是一个一站式海量数据集成框架，提供自动、安全、可靠和高性能的数据传输能力，同时支持批和流，方便业务构建基于流式的数据分析、建模和应用。
InLong 支持大数据领域的采集、汇聚、缓存和分拣功能，用户只需要简单的配置就可以把数据从数据源导入到实时计算引擎或者落地到离线存储。
+<!--truncate-->
+
## 1.2.0 版本特性总览
**刚刚发布的 1.2.0-incubating 版本关闭了约 410+ 个 issue，包含 30+ 个特性和 190+ 个优化。**
主要包括以下内容：