Dinky is an out of the box one-stop real-time computing platform dedicated to the construction and practice of Unified Streaming & Batch and Unified Data Lake & Data Warehouse. Based on Apache Flink, Dinky provides the ability to connect many big data frameworks including OLAP and Data Lake.
Its main feature are as follows:
- Immersive Flink SQL Data Development: Automatic prompt completion, syntax highlighting, statement beautification, online debugging, syntax verification, execution plan, MetaStore, lineage, version comparison, etc.
- Support FlinkSQL multi-version development and execution modes: Local,Standalone,Yarn/Kubernetes Session,Yarn Per-Job,Yarn/Kubernetes Application.
- Support Apache Flink ecology: Connector,FlinkCDC,Table Store,etc.
- Support FlinkSQL syntax enhancement: Database synchronization, execution environments, global variables, statement merging, table-valued aggregate functions, load dependency, row-level permissions, etc.
- Supports real-time warehousing and lake entry of the entire FlinkCDC database, multi-database output, and automatic table creation.
- Support SQL job development: ClickHouse, Doris, Hive, Mysql, Oracle, Phoenix, PostgreSql, Presto, SqlServer, StarRocks, etc.
- Support real-time online debugging preview Table, ChangeLog, statistical chart and UDF.
- Support Flink Catalog, data source metadata online query and management.
- Support real-time task operation and maintenance: Online and offline, job information, cluster information, job snapshot, exception information, data map, data exploration, historical version, alarm record, etc.
- Support as multi-version FlinkSQL Server and OpenApi capability.
- Support real-time job alarm and alarm group: DingTalk, WeChat, Feishu, E-mail, etc.
- Support automatically managed SavePoint/CheckPoint recovery and triggering mechanisms: latest, earliest, specified, etc.
- Support resource management: Cluster instance, cluster configuration, jar, data source, alarm group, alarm instance, document, global variable, system configuration, etc.
- Support enterprise-level management: multi-tenant, user, role, project space.
- More hidden features are waiting for friends to explore.
FlinkSQL Studio
Grammar Check
Version Management
lineage
BI Charts
Metadata Query
Task Monitoring
Job Information
Welcome to join the community, build a win-win situation, please refer to the contribution process： How to contribute.
Thank you to all the people who already contributed to Dinky!