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kafka-0.2.2-win32
- 卡夫卡是一个图像变形工具。用户加载两个不同的图像, 指定函授点之间使用两个设置 直观的界面,并且可以输出无论是静止图像中途 两者之间的图像或影片的整个过渡。-Kafka is an image-morphing utility. Users load two different images, specify a set of correspondence points between the two using
kafka-example
- 基于Apache Kafka的Message Server示例若干-Based on the Apache Kafka' s Message Server example certain
jmxmon-master-main
- kafka监控,用于监控kafka服务器的运行状态(Kafka monitoring is used to monitor the running status of the Kafka server)
apache-kafka-documentation-cn
- apache-kafka-documentation-cn
flume-kafka-storm-sunxing
- 一个基于storm+flume+kafka的可运行程序包(A storm+flume+kafka based executable package)
kafka
- php基于rdkafka的生产者和消费者的示例程序(PHP rdkafka producer & consumer)
Kafka配置参数详解 - 网络技术
- 每个kafka broker中配置文件server.properties必须配置的属性如下(The configuration file server.properties in each Kafka broker must be configured with the following attributes)
klogd2
- Kafka Syslog resend tool
kafka-trunk
- kafka是全球最复杂的分布式消息队列。这里共享分布式消息队列kafka源代码。(Distributed Message Queue kafka source codes)
Kafka权威指南.pdf
- kafka 权威指南,kafka最新架构和用法介绍(Kafka authoritative guide, the latest architecture and usage of Kafka)
utilities.tar
- redis,solr,kafka等组件的客户端(redis,solr,kafka client source)
TestSend
- Java的kafka中间件测试发送,在里面配置号ip端口等就可以测试(Java's Kafka middleware test is sent, and the inside configuration number IP port can be tested.)
JavaKafkaConsumerHighAPI
- 自定义简单Kafka消费者,里面有对kafka的简单引用(Customize simple Kafka consumers with a simple reference to Kafka)
KafkaStream
- kafka与spark stream实时流整合系统(sparkstream and kafka integrated real-time streaming system)
storm-kafka-examples
- storm kafka 实验用例,用来推送数据至storm,然后发送至kafka(storm-kafka-examples)
kafka-manager-1.3.3.7
- kafka-manager-1.3.3.7 kafka的控制台管理软件(kafka-manager-1.3.3.7 kafka Console management software)
flume-es-sink.tar
- kafka0.10->flume1.8->elasticsearch 6.0 自定义日志解析类,自定义索引名,Kafkasource 修改从最后offset开始读。 (Kafka 0.10 to flume 1.8 to elasticsearch 6 Customize the log parsing class, customize the index name, and read the Kafkasource c
incubator-gobblin-master
- Gobblin支持各种各样的数据源,例如RDBMS(Oralce、Mysql、SqlServer), Espresso,Kafka,RocksDB,S3,Salesforce和Google Analytics等。通过使用同一的Gobblin框架,可以很容易的扩展这些数据源而且让数据收集工作变得更加简单和易用。(Gobblin supports a wide variety of data sources, such as RDBMS (
kafka
- kafka客户端例子,包括jass验证。用于调试(emmmmsadffffffffdsadsfdasf)
kafka
- kafka的生产消费示例程序,其中数据生产时需要avro序列化,消费时需要反序列化(Kafka production and consumption sample program, where data production requires Avro serialization, consumption needs to be serialized.)