lichangjiang / calcite-tutorialLinks
examples for apache calcite
☆13Updated 3 years ago
Alternatives and similar repositories for calcite-tutorial
Users that are interested in calcite-tutorial are comparing it to the libraries listed below
Sorting:
- QuickStart of Apache Calcite.☆11Updated 4 years ago
- TPC-DS Performance tests tool for Flink☆29Updated 4 years ago
- calcite的相关联系代码,包含CSV适配器,使用CSV适配器来进行SQL查询。SQL的parse和validate,以及RBO和CBO的使用。☆73Updated 5 years ago
- flink 流处理源码分析☆80Updated 6 years ago
- presto 源码分析☆51Updated 7 years ago
- flink-sql 在 flink 上运行 sql 和 构建数据流的平台 基于 apache flink 1.10.0☆111Updated 3 years ago
- Learning Flink : Flink CEP,Flink Core,Flink SQL☆72Updated 3 years ago
- Apache Flink 源码分析系列,基于 git tag 1.1.2☆233Updated 8 years ago
- sql解析和执行,能够执行hive, spark, flink, 以及对应对TensorFlow, Deeplearning4j的算法SQL执行☆11Updated 3 years ago
- 对yarn的的RM,NM模块代码进行分析☆49Updated 7 years ago
- Dig Spark's source code.☆17Updated last year
- 剥离的模块,用于查看Spark SQL生成的语法树☆91Updated 6 years ago
- This is a library for SQL optimizing/rewriting including Materialized View rewrite☆69Updated 3 years ago
- 记录Spark、Flink研究经验☆26Updated 6 years ago
- spark,hive,等SQL解析案例☆41Updated 7 years ago
- Test code for apache calcite☆214Updated 3 years ago
- Java library to integrate Flink and Kudu☆55Updated 8 years ago
- Spark源码剖析☆86Updated 8 years ago
- Spark源码分析,主要包含SparkContext源码、Executor进程启动、Stage划分、Task执行和Spark2.0的新特性☆82Updated 6 years ago
- 基于flink 1.8 源码二次开发,详见MD☆82Updated 5 years ago
- 易观开源大数据互联网百亿级记录互传Backquarter项目☆20Updated 3 years ago
- kudu学习的一些资料,以及和spark/impala的集成使用☆33Updated 8 years ago
- spark-scala-maven☆59Updated 7 years ago
- 汇总Apache Hudi中的一些Demo,便于快速上手Apache Hudi(Apache Hudi Demos to help beginners know about Hudi)☆75Updated 5 years ago
- Hadoop分布式文件系统hdfs代码分析☆181Updated 10 years ago
- learn calcite sql parsing☆18Updated 3 years ago
- calcite文档翻译☆25Updated 7 years ago
- My Blog☆76Updated 7 years ago
- 翻译Calcite文档,非官方☆15Updated 6 years ago
- A library for querying Binlog with Apache Spark structure streaming, for Spark SQL , DataFrames and [MLSQL](https://www.mlsql.tech).☆152Updated 2 years ago