| zhisheng17/flink-learning |
13,801 |
|
0 |
0 |
over 2 years ago |
0 |
|
8 |
apache-2.0 |
Java |
| flink learning blog. http://www.54tianzhisheng.cn/ 含 Flink 入门、概念、原理、实战、性能调优、源码解析等内容。涉及 Flink Connector、Metrics、Library、DataStream API、Table API & SQL 等内容的学习案例,还有 Flink 落地应用的大型项目案例(PVUV、日志存储、百亿数据实时去重、监控告警)分享。欢迎大家支持我的专栏《大数据实时计算引擎 Flink 实战与性能优化》 |
| awslabs/deequ |
3,044 |
|
0 |
6 |
about 2 years ago |
37 |
November 09, 2023 |
141 |
apache-2.0 |
Scala |
| Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets. |
| uber-common/jvm-profiler |
1,717 |
|
0 |
0 |
over 2 years ago |
0 |
|
14 |
other |
Java |
| JVM Profiler Sending Metrics to Kafka, Console Output or Custom Reporter |
| ColZer/DigAndBuried |
645 |
|
0 |
0 |
over 9 years ago |
0 |
|
4 |
|
GCC Machine Description |
| 挖坑与填坑 |
| LucaCanali/sparkMeasure |
603 |
|
0 |
2 |
over 2 years ago |
9 |
August 10, 2022 |
0 |
apache-2.0 |
Scala |
| This is the development repository for sparkMeasure, a tool for performance troubleshooting of Apache Spark workloads. It simplifies the collection and analysis of Spark task and stage metrics data. |
| YotpoLtd/metorikku |
536 |
|
0 |
0 |
about 3 years ago |
126 |
February 27, 2023 |
65 |
mit |
Scala |
| A simplified, lightweight ETL Framework based on Apache Spark |
| hammerlab/grafana-spark-dashboards |
225 |
|
0 |
0 |
about 11 years ago |
0 |
|
6 |
|
JavaScript |
| Scripts for generating Grafana dashboards for monitoring Spark jobs |
| banzaicloud/spark-metrics |
150 |
|
0 |
0 |
over 3 years ago |
12 |
October 09, 2020 |
11 |
apache-2.0 |
Scala |
| Spark metrics related custom classes and sinks (e.g. Prometheus) |
| groupon/spark-metrics |
138 |
|
6 |
7 |
over 6 years ago |
2 |
November 16, 2016 |
16 |
bsd-3-clause |
Scala |
| A library to expose more of Apache Spark's metrics system |
| linkedin/LiFT |
129 |
|
0 |
0 |
about 5 years ago |
6 |
March 31, 2021 |
1 |
bsd-2-clause |
Scala |
| The LinkedIn Fairness Toolkit (LiFT) is a Scala/Spark library that enables the measurement of fairness in large scale machine learning workflows. |