v1.0.0

• flink 1.4.3
• spark 3.2.0
• support jdk 17

0.8.0-rc1

support flink 1.11.1
support spark 3.0.0
scala version 2.12

0.5.0

Merge pull request #83 from harbby/dev

Dev

0.5.0-rc2

Merge pull request #78 from harbby/dev

Dev

0.5.0-rc1

TODU: ..

0.4.0

• Support local mode to run job
• Support es, hdfs sink

0.2.0

[en]
Core:
1, optimize the regular expression used in sql split, fix; may be incorrect when the ";"
2, optimize the create view table as {query} parsing process, {query} will no longer pass the antlr syntax analysis
3, improve the etl drag and drop function, now all the connectors on the platform can be displayed in the drag toolbar of etl, and after expansion, you can see all the parameters of each connector, as well as the default value, which is very useful for stream sql
Oher:
1, use yarn instead of npm and bower to manage the package

[zh-CN]
核心:
1, 优化sql split时用到的正则表达式，修复; 可能出现在";" 时切分不正确的问题
2, 优化create view table as {query} 解析过程, {query}将不再经过antlr语法分析
3, 完善etl 拖拽功能，现在平台上所有connector全部都能在etl的拖拽工具栏显示, 并且拓展后可以看到每个connector所有参数情况,以及默认值,这对于stream sql 非常有用
其他:
1, 使用yarn来代替npm和bower来管理包

0.1.0

Add PluginConfig to configure the parameters of the connector through…

… injection

other: Optimize part of the code

0.1.0-alpha3

Major Features And Improvements:

• #3 Custom udf support
• #1 watermark support
• #5 Use different color display when compiling the job
• #6 Optimize the root build experience
• Add document building module
• Greatly optimize front-end code management
• Runner dependent optimization
• Other more improvements and optimizations

主要功能和特性:

• #3 支持自定义udf支持
• #1 watermark支持,支持使用event_time进行流式计算
• #5 编译作业时使用不同的颜色显示
• #6 修复使用root用户编译失败的问题
• 添加文档构建模块
• 大大优化前端代码管理,对前端模块采用版本管理
• 大幅度优化runner依赖,移除guava等依赖
• 其他更多改进和优化

0.1.0-alpha2

0.1.0-alpha2

1, 添加打包功能 sylph-dist/build/distributions
2, 调整etl-plugins模块名为 sylph-connectors
3, 规范配置文件名为 job.flow and job.type
4, 主页添加构建StreamSql按钮