wangpy1995 / Spark-SQL-HBase
基于Spark SQL,可通过输入SQL语句操作HBase表,目前提供对HBase表的查询、创建、删除以及数据插入(需要自己指定rowKey生成规则)的功能,数据删除,分布式导入大规模数据相关功能正在开发中
☆12Updated 5 months ago
Alternatives and similar repositories for Spark-SQL-HBase:
Users that are interested in Spark-SQL-HBase are comparing it to the libraries listed below
- spark将hdfs数据高性能灌入kafka,然后spark streaming/structured streaming高速消费,关注性能,欢迎提供性能/代码优化建议☆33Updated 5 years ago
- Spark structured-streaming 消费kafka数据写入hbase☆33Updated 6 years ago
- SparkSQL数据分析案例☆23Updated 8 years ago
- SparkStreaming项目,显示flume->Kafka->Spark->hbase(实时数据处理方案),Scala实现☆36Updated 7 years ago
- Flink Sql 教程☆34Updated 2 months ago
- 基于SparkSQL的电影分析项目实战☆39Updated 4 years ago
- 使用spark对hive、hbase、ES的读写, 实现一次配置可对不同数据库进行导入导出,并对ES、hbase进行封装☆32Updated 7 years ago
- Spark Streaming + kafka + hbase☆15Updated 6 years ago
- SparkStreaming中利用MySQL保存Kafka偏移量保证0数据丢失☆45Updated 7 years ago
- sql实现Structured Streaming☆39Updated 6 years ago
- Learning Flink : Flink CEP,Flink Core,Flink SQL☆71Updated 3 years ago
- 大数据【企业级360°全方位用户画像】标签开发部分源码☆19Updated 4 years ago
- Kafka delivery semantics in the case of failure depend on how and when offsets are stored. Spark output operations are at-least-once. So …☆37Updated 7 years ago
- 易观开源大数据互联网百亿级记录互传Backquarter项目☆19Updated 2 years ago
- flink技术学习笔记分享☆83Updated 5 years ago
- 数据血缘,Hive/Sqoop/HBase/Spark等,发送到kafka后,解析处理使用neo4j生成血缘☆81Updated 3 years ago
- 简单易用的ETL工具☆17Updated 5 years ago
- kafka传数据到Flink存储到mysql之Flink使用SQL语句聚合数据流(设置时间窗口,EventTime)☆32Updated 6 years ago
- 数据治理->数据质量☆10Updated 5 years ago
- flink实时处理kafka传来的数据通过连接池技术写入hbase☆95Updated 2 years ago
- My Blog☆76Updated 6 years ago
- Apache Hudi Demo☆21Updated 8 months ago
- Flink 菜鸟公众号代码地址☆64Updated 2 months ago
- spark-scala-maven☆58Updated 6 years ago
- Streaming 相关项目☆15Updated 7 years ago
- Flink 案例代码☆43Updated 2 years ago
- Spark Streaming监控平台,支持任务部署与告警、自启动☆128Updated 6 years ago
- 基于flink的用户行为分析☆50Updated last year
- Spark Sql进行离线日志分析,Java Web+Echarts+Ajax进行数据可视化展示☆27Updated 6 years ago
- 使用Flink实现用户行为分析☆11Updated 4 years ago