<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/fql_data_platform</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; fql_data_platform]]></copyright><item><title><![CDATA[R-图形化展示变量间相关性]]></title><link>https://blog.youkuaiyun.com/fql_data_platform/article/details/52472742</link><guid>https://blog.youkuaiyun.com/fql_data_platform/article/details/52472742</guid><author>fql_data_platform</author><pubDate>Thu, 08 Sep 2016 16:22:58 +0800</pubDate><description><![CDATA[cor(mtcars)  
图形描述  
library(corrgram)  
corrgram(mtcars,order=TRUE,lower.panel=panel.conf,  
         upper.panel=panel.pie,text.panel=panel.txt,  
         main="Correlogram of mtcars intercorrelati]]></description><category></category></item><item><title><![CDATA[HBase调优]]></title><link>https://blog.youkuaiyun.com/fql_data_platform/article/details/52472099</link><guid>https://blog.youkuaiyun.com/fql_data_platform/article/details/52472099</guid><author>fql_data_platform</author><pubDate>Thu, 08 Sep 2016 15:35:05 +0800</pubDate><description><![CDATA[1、JVM调优
export HBASE_REGIONSERVER_OPTS="$HBASE_REGIONSERVER_OPTS -XX:PermSize=6g -XX:+UseConcMarkSweepGC -XX:MaxPermSize=6g -Xmx16g -Xms16g -Xmn6g -verbose:gc -
Xloggc:/usr/local/fqlhadoop/logs/hbas]]></description><category></category></item><item><title><![CDATA[spark sql hive自定义函数(永久函数)]]></title><link>https://blog.youkuaiyun.com/fql_data_platform/article/details/52472042</link><guid>https://blog.youkuaiyun.com/fql_data_platform/article/details/52472042</guid><author>fql_data_platform</author><pubDate>Thu, 08 Sep 2016 15:31:27 +0800</pubDate><description><![CDATA[Spark(Hive) SQL中UDF的使用
相对于使用MapReduce或者Spark Application的方式进行数据分析，使用Hive SQL或Spark SQL能为我们省去不少的代码工作量，而Hive SQL或Spark SQL本身内置的各类UDF也为我们的数据处理提供了不少便利的工具，当这些内置的UDF不能满足于我们的需要时，Hive SQL或Spark SQL还为我们提供了自定义]]></description><category></category></item></channel></rss>