<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[Long752299361的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/Long752299361</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; Long752299361]]></copyright><item><title><![CDATA[《Presto在中通的优化实践》]]></title><link>https://blog.youkuaiyun.com/Long752299361/article/details/142049087</link><guid>https://blog.youkuaiyun.com/Long752299361/article/details/142049087</guid><author>Long752299361</author><pubDate>Mon, 09 Sep 2024 09:57:00 +0800</pubDate><description><![CDATA[本文介绍了中通快递使用Presto相关的源码改造、性能调优以及监控告警等工具开发，相信会对业内公司提供一定的参考意义。]]></description><category></category></item><item><title><![CDATA[Fire框架--一行代码实现Flink与Kafka集成]]></title><link>https://blog.youkuaiyun.com/Long752299361/article/details/125769870</link><guid>https://blog.youkuaiyun.com/Long752299361/article/details/125769870</guid><author>Long752299361</author><pubDate>Wed, 13 Jul 2022 18:18:13 +0800</pubDate><description><![CDATA[如何通过fire框架实现flink一行代码集成kafka，如何实现同一个spark任务消费多个kafka，本文将给你一个满意的技术方案！]]></description><category></category></item><item><title><![CDATA[Fire框架--一行代码实现Spark与Kafka集成]]></title><link>https://blog.youkuaiyun.com/Long752299361/article/details/125769844</link><guid>https://blog.youkuaiyun.com/Long752299361/article/details/125769844</guid><author>Long752299361</author><pubDate>Wed, 13 Jul 2022 18:16:54 +0800</pubDate><description><![CDATA[如何通过fire框架实现spark一行代码集成kafka，如何实现同一个spark任务消费多个kafka，本文将给你一个满意的技术方案！]]></description><category></category></item><item><title><![CDATA[Fire框架--Spark读写Hbase]]></title><link>https://blog.youkuaiyun.com/Long752299361/article/details/125755656</link><guid>https://blog.youkuaiyun.com/Long752299361/article/details/125755656</guid><author>Long752299361</author><pubDate>Wed, 13 Jul 2022 07:15:21 +0800</pubDate><description><![CDATA[如何通过一行代码实现spark对Hbase的读写操作？本文演示基于fire框架快速实现spark与Hbase的集成]]></description><category></category></item><item><title><![CDATA[【fire框架】快速进行spark与flink开发]]></title><link>https://blog.youkuaiyun.com/Long752299361/article/details/125750094</link><guid>https://blog.youkuaiyun.com/Long752299361/article/details/125750094</guid><author>Long752299361</author><pubDate>Tue, 12 Jul 2022 19:38:16 +0800</pubDate><description><![CDATA[专门用于spark和flink开发的大数据实时计算开发框架]]></description><category></category></item></channel></rss>