TopSpoofer / hbrdd
一个为spark批量导入数据到hbase的库
☆43Updated 8 years ago
Related projects ⓘ
Alternatives and complementary repositories for hbrdd
- 使用spark streaming 导入kafka数据到hbase☆25Updated 8 years ago
- SparkStreaming中利用MySQL保存Kafka偏移量保证0数据丢失☆45Updated 7 years ago
- This is a based on playframwork for submit spark app☆60Updated last year
- 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
- My Blog☆76Updated 6 years ago
- hbase+solr实现hbase的二级索引☆47Updated 3 years ago
- Data self exporting and monitoring platform based on Hive data warehouse. https://hc.smartloli.org☆35Updated 7 years ago
- Use Scala API to read/write data from different databases,HBase,MySQL,etc.☆24Updated 6 years ago
- 通过HBase Observer同步数据到ElasticSearch☆55Updated 9 years ago
- 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
- Encapsulated spark 与其他组件的结合api,方便使用,例如 es,hbase,kudu,kafka,mq等☆35Updated 4 years ago
- sql实现Structured Streaming☆39Updated 5 years ago
- Spark Streaming监控平台,支持任务部署与告警、自启动☆128Updated 6 years ago
- hbase-tools try easy to use and test the hbase,☆46Updated 10 years ago
- 可以说近几年Spark的流行带动了Scala的发展,它集成了面向对象编程和函数式编程的各种特性,Scala具有更纯Lambda表粹的函数式业务逻辑解决方案,其语法比Java8后Lambda更加简洁方便,SpringBoot为Spring提供了一种更加方便快捷的方式,不再要求…☆61Updated 7 years ago
- DirectKafka examples for Spark Streaming : 1. with checkpointing 2. Custom offset management☆61Updated 8 years ago
- spark实例代码☆78Updated 7 years ago
- Spark structured-streaming 消费kafka数据写入hbase☆33Updated 5 years ago
- A HBase datasource implementation for Spark and [MLSQL](http://www.mlsql.tech).☆13Updated last year
- ☆53Updated 6 years ago
- Spark 脚手架工程,标准化 spark 开发、部署、测试流程。☆93Updated last month
- Spark源代码中文注释☆42Updated 6 years ago
- 基于Yarn的容器调度引擎(container scheduler based on yarn)☆37Updated 8 years ago
- High Performance Spark Streaming with Direct Kafka in Java☆39Updated 8 years ago
- 使用Hive读写solr☆31Updated 2 years ago
- Study Notes☆56Updated 5 years ago
- 记录Spark、Flink研究经验☆25Updated 5 years ago