<![CDATA[L13571471349的博客]]>https://blog.youkuaiyun.com/L13571471349zh-cnhttps://blog.youkuaiyun.com/<![CDATA[Spark性能优化：资源调优篇]]>https://blog.youkuaiyun.com/L13571471349/article/details/78968469https://blog.youkuaiyun.com/L13571471349/article/details/78968469L13571471349Thu, 04 Jan 2018 10:47:03 +0800<![CDATA[数据分析利器之hive优化十大原则]]>https://blog.youkuaiyun.com/L13571471349/article/details/78076961https://blog.youkuaiyun.com/L13571471349/article/details/78076961L13571471349Sun, 24 Sep 2017 15:06:54 +0800<![CDATA[Hive优化总结 ---by 食人花]]>https://blog.youkuaiyun.com/L13571471349/article/details/78070534https://blog.youkuaiyun.com/L13571471349/article/details/78070534L13571471349Sat, 23 Sep 2017 14:07:37 +0800<![CDATA[基于hadoop下的mahout推荐系统实现]]>https://blog.youkuaiyun.com/L13571471349/article/details/78010415https://blog.youkuaiyun.com/L13571471349/article/details/78010415L13571471349Sun, 17 Sep 2017 15:16:49 +0800<![CDATA[Mahout推荐系统]]>https://blog.youkuaiyun.com/L13571471349/article/details/78010266https://blog.youkuaiyun.com/L13571471349/article/details/78010266L13571471349Sun, 17 Sep 2017 14:53:40 +0800<![CDATA[Elasticsearch+Hbase实现海量数据秒回查询]]>https://blog.youkuaiyun.com/L13571471349/article/details/77988911https://blog.youkuaiyun.com/L13571471349/article/details/77988911L13571471349Fri, 15 Sep 2017 10:34:38 +0800<![CDATA[Spark性能优化指南——基础篇]]>https://blog.youkuaiyun.com/L13571471349/article/details/77970123https://blog.youkuaiyun.com/L13571471349/article/details/77970123L13571471349Wed, 13 Sep 2017 19:43:11 +0800<![CDATA[优化洗牌（shuffle）和排序阶段]]>https://blog.youkuaiyun.com/L13571471349/article/details/77967633https://blog.youkuaiyun.com/L13571471349/article/details/77967633L13571471349Wed, 13 Sep 2017 16:21:05 +0800<![CDATA[Spark性能优化：JVM参数调优]]>https://blog.youkuaiyun.com/L13571471349/article/details/77676333https://blog.youkuaiyun.com/L13571471349/article/details/77676333L13571471349Tue, 29 Aug 2017 11:56:50 +0800<![CDATA[Spark性能优化之数据倾斜技术方案]]>https://blog.youkuaiyun.com/L13571471349/article/details/77621054https://blog.youkuaiyun.com/L13571471349/article/details/77621054L13571471349Sun, 27 Aug 2017 16:11:15 +0800<![CDATA[Spark优化--开发调优]]>https://blog.youkuaiyun.com/L13571471349/article/details/77606618https://blog.youkuaiyun.com/L13571471349/article/details/77606618L13571471349Sat, 26 Aug 2017 20:22:46 +0800复用同一个RDD（对同一个RDD要进行多次操作）===>就对RDD进行持久化 rdd.cache()//cache是persist无参的版本，也就是默认的持久化级别 rdd.persist() rdd.unPersist()//卸载 2.持久化级别： MEMEORY_ONLY：要有足够大的内存支撑其持久化操作，将rdd中的未经序列]]>