项目细节也就不说了
kafka + spark streaming >>
kafka版本1.0，spark streaming也是依照kafka1.0开发的
这个kfk集群叫kfk_1.0吧
包括kafka在内的集群资源都是个人维护的
目前有一个情况是要从另一个kafka集群版本0.8.1,叫kfk_0.8.1里，取数计算写入kfk_1.0
比较坑爹的是
https://spark.apache.org/docs/latest/streaming-kafka-0-8-integration.html
spark-streaming 要求的最低kfk版本是 0.8.2.1
不兼容kfk_A
正在维护人员升级或部分topic迁移
还有周转的办法，是用中间导数程序将0.8.1 导入 kfk_1.0
以个人经验来说，先考虑应用logstash
但logstash对kafka也有版本的兼容问题
https://www.elastic.co/guide/en/logstash/6.5/plugins-inputs-kafka.html
This plugin uses Kafka Client 2.0.0.
https://www.elastic.co/guide/en/logstash/6.3/plugins-inputs-kafka.html
This plugin uses Kafka Client 1.1.0
https://www.elastic.co/guide/en/logstash/5.0/plugins-inputs-kafka.html
This plugin uses Kafka Client 0.10.0.1
https://www.elastic.co/guide/en/logstash/2.4/plugins-inputs-kafka.html
This plugin uses Kafka Client 0.8.2.2
https://www.elastic.co/guide/en/logstash/2.3/plugins-inputs-kafka.html
```
Kafka Client Version Logstash Version Plugin Version Security Features Why?
0.8 2.0.0 - 2.x.x<3.0.0 Legacy, 0.8 is still popular
0.9 2.0.0 - 2.3.x 3.x.x Basic Auth, SSL
```
经测试 logstash 2.0 兼容kafka 0.8.1
看迁移的进度，如不支持迁移
考虑以kafka2.0读取kafka 0.8.1 写入kafka 1.0.0
kafka2.0写入kafka 1.0.0还未测试