{"id":15132165,"url":"https://github.com/dtstack/flinkstreamsql","last_synced_at":"2025-05-15T01:07:24.960Z","repository":{"id":37359340,"uuid":"148428318","full_name":"DTStack/flinkStreamSQL","owner":"DTStack","description":"基于开源的flink，对其实时sql进行扩展；主要实现了流与维表的join，支持原生flink SQL所有的语法","archived":false,"fork":false,"pushed_at":"2024-02-21T00:11:04.000Z","size":7073,"stargazers_count":2045,"open_issues_count":88,"forks_count":928,"subscribers_count":116,"default_branch":"1.10_release","last_synced_at":"2025-04-13T22:39:38.205Z","etag":null,"topics":["bigdata","flink","sql","stream"],"latest_commit_sha":null,"homepage":"","language":"Java","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/DTStack.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.txt","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2018-09-12T05:51:37.000Z","updated_at":"2025-04-03T02:14:16.000Z","dependencies_parsed_at":"2024-09-21T03:31:11.754Z","dependency_job_id":"366c3b8c-b912-46d3-927b-39abd3f82831","html_url":"https://github.com/DTStack/flinkStreamSQL","commit_stats":null,"previous_names":[],"tags_count":12,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DTStack%2FflinkStreamSQL","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DTStack%2FflinkStreamSQL/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DTStack%2FflinkStreamSQL/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DTStack%2FflinkStreamSQL/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/DTStack","download_url":"https://codeload.github.com/DTStack/flinkStreamSQL/tar.gz/refs/heads/1.10_release","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":254254041,"owners_count":22039792,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["bigdata","flink","sql","stream"],"created_at":"2024-09-26T04:04:29.240Z","updated_at":"2025-05-15T01:07:19.948Z","avatar_url":"https://github.com/DTStack.png","language":"Java","readme":"FlinkStreamSQL\n============\n[![License](https://img.shields.io/badge/license-Apache%202-4EB1BA.svg)](https://www.apache.org/licenses/LICENSE-2.0.html)\n\n## 技术交流\n- 招聘**Flink开发工程师**，如果有兴趣，请联系思枢【微信号ysqwhiletrue】，注明招聘\u003cBR\u003e\n  Flink开发工程师JD要求：\u003cBR\u003e\n  1.负责袋鼠云基于Flink的衍生框架数据同步flinkx和实时计算flinkstreamsql框架的开发；\u003cBR\u003e\n  2.调研和把握当前最新大数据实时计算技术，将其中的合适技术引入到平台中，改善产品，提升竞争力；\u003cBR\u003e\n  职位要求：\u003cBR\u003e\n  1、本科及以上学历，3年及以上的Flink开发经验，精通Java，熟悉Scala、Python优先考虑；\u003cBR\u003e\n  2、熟悉Flink原理，有基于Flink做过二次源码的开发，在github上贡献者Flink源码者优先；\u003cBR\u003e\n  3、有机器学习、数据挖掘相关经验者优先；\u003cBR\u003e\n  4、对新技术有快速学习和上手能力，对代码有一定的洁癖；\u003cBR\u003e\n  加分项：\u003cBR\u003e\n  1.在GitHub或其他平台上有过开源项目;\u003cBR\u003e\n  可以添加本人微信号ysqwhiletrue，注明招聘，如有意者发送简历至sishu@dtstack.com\u003cBR\u003e\n- 我们使用[钉钉](https://www.dingtalk.com/)沟通交流，可以搜索群号[**30537511**]或者扫描下面的二维码进入钉钉群\n\u003cdiv align=center\u003e\n     \u003cimg src=docs/images/streamsql_dd.jpg width=300 /\u003e\n\u003c/div\u003e\n\n## 介绍\n* 基于开源的flink，对其实时sql进行扩展\n   * 自定义create table 语法（包括源表,输出表,维表）\n   * 自定义create view 语法\n   * 自定义create function 语法\n   * 实现了流与维表的join\n   * 支持原生FlinkSQL所有的语法\n   * 扩展了输入和输出的性能指标到Task metrics\n\n## 目录\n\n[ 1.1 demo](docs/demo.md)  \n[ 1.2 快速开始](docs/quickStart.md)  \n[ 1.3 参数配置](docs/config.md)  \n[ 1.4 支持的插件介绍和demo](docs/pluginsInfo.md)     \n[ 1.5 指标参数](docs/newMetric.md)  \n[ 1.6 自定义函数](docs/function.md)  \n[ 1.7 自定义视图](docs/createView.md)\n\n## 如何贡献FlinkStreamSQL\n\n[pr规范](docs/pr.md)\n\n## License\nFlinkStreamSQL is under the Apache 2.0 license. See the [LICENSE](http://www.apache.org/licenses/LICENSE-2.0) file for details.    ","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdtstack%2Fflinkstreamsql","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdtstack%2Fflinkstreamsql","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdtstack%2Fflinkstreamsql/lists"}