<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[九万里]]></title><description><![CDATA[]]></description><link>https://blog.csdn.net/HM_RQ</link><language>zh-cn</language><generator>https://blog.csdn.net/</generator><copyright><![CDATA[Copyright &copy; HM_RQ]]></copyright><item><title><![CDATA[dolphinscheduler调试问题记录]]></title><link>https://blog.csdn.net/HM_RQ/article/details/128717659</link><guid>https://blog.csdn.net/HM_RQ/article/details/128717659</guid><author>HM_RQ</author><pubDate>Tue, 17 Jan 2023 16:26:52 +0800</pubDate><description><![CDATA[dolphinscheduler调试问题记录]]></description><category></category></item><item><title><![CDATA[HugeGraph搭建及使用]]></title><link>https://blog.csdn.net/HM_RQ/article/details/119598501</link><guid>https://blog.csdn.net/HM_RQ/article/details/119598501</guid><author>HM_RQ</author><pubDate>Tue, 04 Jan 2022 11:10:18 +0800</pubDate><description><![CDATA[第一章 HugeGraph搭建


检查依赖及安装相关依赖
1.安装jdk-1.8
	java -version
2.安装GCC,版本&gt;=4.3.0
	gcc --version



部署(2种)
一键部署：
wget https://github.com/hugegraph/hugegraph-tools/releases/download/v${version}/hugegraph-tools-${version}.tar.gz
tar -zxvf hugegraph-tools-${versi]]></description><category></category></item><item><title><![CDATA[使用ambari安装Hadoop集群]]></title><link>https://blog.csdn.net/HM_RQ/article/details/118361286</link><guid>https://blog.csdn.net/HM_RQ/article/details/118361286</guid><author>HM_RQ</author><pubDate>Fri, 09 Jul 2021 17:55:44 +0800</pubDate><description><![CDATA[一、环境准备
1.操作系统检查


操作系统版本检查
cat /etc/redhat-release



操作系统默认语言检查
echo $LANG
echo 'export LANG=en_US.UTF-8' &gt;&gt; ~/.bashrc



操作系统时区设置
cp /usr/share/zoneinfo/Asia/Shanghai /etc/localtime



时钟同步
4.1 安装ntp服务：
rpm –qa|grep ntp
yum install ntp
systemctl is]]></description><category></category></item><item><title><![CDATA[bulk load数据到hbase表]]></title><link>https://blog.csdn.net/HM_RQ/article/details/118176652</link><guid>https://blog.csdn.net/HM_RQ/article/details/118176652</guid><author>HM_RQ</author><pubDate>Thu, 24 Jun 2021 09:28:18 +0800</pubDate><description><![CDATA[使用bulk load批量导入到hbase表中

删除临时目录hadoop fs -rm -r /app/tmp/hdfs/tableNameFile


执行以下命令生成HFile文件hbase org.apache.hadoop.hbase.mapreduce.ImportTsv \
-Dmapreduce.map.speculative=true \
-Dmapreduce.reduce.separator=true \
-Dmapreduce.map.memory.mb=5120 \
-Dmapre]]></description><category></category></item><item><title><![CDATA[安装MySQL及配置HA和keepalive]]></title><link>https://blog.csdn.net/HM_RQ/article/details/117924852</link><guid>https://blog.csdn.net/HM_RQ/article/details/117924852</guid><author>HM_RQ</author><pubDate>Fri, 18 Jun 2021 10:59:06 +0800</pubDate><description><![CDATA[软件准备

下载MySQL：wget https://obs.cn-north-4.myhuaweicloud.com/obs-mirror-ftp4/database/mysql-5.7.27-aarch64.tar.gz


安装MySQL

解压MySQLtar -xvf xxx.tar.gz


将MySQL解压文件移动mv mysql /usr/local


创建数据目录mkdir /data/mysql


新建mysql用户、组及目录groupadd  mysql
useradd -r -s]]></description><category></category></item><item><title><![CDATA[JVM垃圾是收集器及内存分配策略]]></title><link>https://blog.csdn.net/HM_RQ/article/details/111502163</link><guid>https://blog.csdn.net/HM_RQ/article/details/111502163</guid><author>HM_RQ</author><pubDate>Mon, 21 Dec 2020 23:33:49 +0800</pubDate><description><![CDATA[对象是否已死

可达性分析算法
	在虚拟机桟中引用的对象，例如：各个线程被调用的方法堆栈中是使用到的参数、局部变量、临时变量等
		在方法区中静态属性引用的对象，例如：java类的引用类型静态变量
		在方法区中常量引用的对象，例如：字符串常量池里的引用
		在本地方法桟中JNI引用的对象
		java虚拟机内部的引用，例如：基本数据类型对应的Class对象、常驻的异常对象等，还有系统类加载器
		所有被同步锁持有的对象
		反映java虚拟机内存情况的JMXBean、JMVTI中注册的回调、本地代码缓存等]]></description><category></category></item><item><title><![CDATA[jvm简介]]></title><link>https://blog.csdn.net/HM_RQ/article/details/111501234</link><guid>https://blog.csdn.net/HM_RQ/article/details/111501234</guid><author>HM_RQ</author><pubDate>Mon, 21 Dec 2020 22:55:18 +0800</pubDate><description><![CDATA[运行时数据区域：

程序计数器
	java虚拟机栈
	线程私有
		生命周期和线程相同
		局部变量表、操作数桟、动态连接、方法出口等
		java方法执行的线程内存模型
	
	本地方法栈
	虚拟机使用到本地方法服务
	
	java堆
	被所有线程共享的一块内存区域，在虚拟机启动时创建
		存放对象实例
	
	方法区
	各个线程共享的内存区域
		存储已经被虚拟机加载的类型信息、常量、静态变量、即时编译器编译后的代码缓存的等
		别名：非堆
	
	运行时常量池
	是方法区的一部分
	
	直接内存
	NIO：]]></description><category></category></item><item><title><![CDATA[hbase集群写入的TPS慢分析]]></title><link>https://blog.csdn.net/HM_RQ/article/details/94755240</link><guid>https://blog.csdn.net/HM_RQ/article/details/94755240</guid><author>HM_RQ</author><pubDate>Wed, 22 Jul 2020 19:10:49 +0800</pubDate><description><![CDATA[异常日志:

04 Jul 2019 08:31:01,333 INFO [htable-pool206-t448] (org.apache.hadoop.hbase.client.AsyncProcess$AsyncRequestFutureImpl.resubmit:1193) - #1, table=TTrace_20

190701, attempt=17/35 failed=348ops...]]></description><category></category></item><item><title><![CDATA[greenplum时间转换]]></title><link>https://blog.csdn.net/HM_RQ/article/details/105639455</link><guid>https://blog.csdn.net/HM_RQ/article/details/105639455</guid><author>HM_RQ</author><pubDate>Mon, 20 Apr 2020 17:06:43 +0800</pubDate><description><![CDATA[Greenplum日期时间转换
时间相减


返回两个时间差-秒:


  SELECT date_part('epoch', '2020-04-20 12:00:00'::TIMESTAMP -'2019-04-20 11:30:10'::TIMESTAMP)::NUMERIC;



返回对应秒相减:


  SELECT date_part('second', '2020-04-20 12:...]]></description><category></category></item><item><title><![CDATA[Flink-WordCount]]></title><link>https://blog.csdn.net/HM_RQ/article/details/105235869</link><guid>https://blog.csdn.net/HM_RQ/article/details/105235869</guid><author>HM_RQ</author><pubDate>Wed, 01 Apr 2020 07:33:30 +0800</pubDate><description><![CDATA[1.代码例子-批计算
def main(args: Array[String]): Unit = {

//初始化环境
val env = ExecutionEnvironment.getExecutionEnvironment

//设置并行度
env.setParallelism(1)

//添加隐士转换
import org.apache.flink.api.scala._

//读取数据
...]]></description><category></category></item><item><title><![CDATA[greenplum6.0安装]]></title><link>https://blog.csdn.net/HM_RQ/article/details/103341055</link><guid>https://blog.csdn.net/HM_RQ/article/details/103341055</guid><author>HM_RQ</author><pubDate>Sun, 01 Dec 2019 23:57:42 +0800</pubDate><description><![CDATA[集群环境配置

	修改每台机器的配置
		修改文件/etc/sysctl.conf
			
			
kernel.shmmax = 500000000
kernel.shmmni = 4096
kernel.shmall = 4000000000
kernel.sem = 250 512000 100 2048
kernel.sysrq = 1
kernel.core_uses_pid = 1...]]></description><category></category></item><item><title><![CDATA[日常运维-高cup分析]]></title><link>https://blog.csdn.net/HM_RQ/article/details/85226846</link><guid>https://blog.csdn.net/HM_RQ/article/details/85226846</guid><author>HM_RQ</author><pubDate>Sun, 23 Dec 2018 23:56:58 +0800</pubDate><description><![CDATA[1.查看高cpu对应pid的线程

top -H -p 17604



2.线程中28035的cpu高，查看线程的函数调用栈

$gstack 28035 &amp;gt; gstack.log



3.使用gcore命令转存进程映像及内存上下文

$ gcore 28035

该命令生成core文件core.28035

4.用strace命令查看系统调用和花费的时间

$ strace -T -r...]]></description><category></category></item><item><title><![CDATA[ES集群写入有延迟持续分析中]]></title><link>https://blog.csdn.net/HM_RQ/article/details/85160511</link><guid>https://blog.csdn.net/HM_RQ/article/details/85160511</guid><author>HM_RQ</author><pubDate>Fri, 21 Dec 2018 13:20:48 +0800</pubDate><description><![CDATA[es集群的版本为：5.6.8



此时的索引情况



 

ES写入流程和原理：

 ]]></description><category></category></item><item><title><![CDATA[flume运维命令]]></title><link>https://blog.csdn.net/HM_RQ/article/details/85053663</link><guid>https://blog.csdn.net/HM_RQ/article/details/85053663</guid><author>HM_RQ</author><pubDate>Mon, 17 Dec 2018 18:17:59 +0800</pubDate><description><![CDATA[1.启动agent

nohup ./bin/flume-ng agent --conf ./conf/agent  -conf-file ./conf/agent/flume.conf  -n agent &amp;gt;/dev/null 2&amp;gt;&amp;amp;1 &amp;amp;

会生成一个pid：123

2.优雅的停掉agent

ps -ef|grep java|grep agent|awk '{p...]]></description><category></category></item><item><title><![CDATA[flume配置文件]]></title><link>https://blog.csdn.net/HM_RQ/article/details/85053523</link><guid>https://blog.csdn.net/HM_RQ/article/details/85053523</guid><author>HM_RQ</author><pubDate>Mon, 17 Dec 2018 18:14:18 +0800</pubDate><description><![CDATA[1.Sink-ES

#------agent-----
agent.sources=agentSource
agent.channels=agentChannel
agent.sinks=agentSink

#-------- agentSource-----------
agent.sources.agentSource.type=org.apache.flume.source.kafka....]]></description><category></category></item><item><title><![CDATA[MySQL-8.0.13安装]]></title><link>https://blog.csdn.net/HM_RQ/article/details/85039957</link><guid>https://blog.csdn.net/HM_RQ/article/details/85039957</guid><author>HM_RQ</author><pubDate>Sun, 16 Dec 2018 22:37:36 +0800</pubDate><description><![CDATA[1.下载mysql-8.0.13-1.el7.x86_64.rpm-bundle.tar到本地

2.解压安装包





 

3.安装MySQL：

yum install mysql-community-{server,client,common,libs}-* --exclude='*minimal*'
4.MySQL启动

service mysqld start

5.启动失败问题

...]]></description><category></category></item><item><title><![CDATA[hbase-regionserver重启]]></title><link>https://blog.csdn.net/HM_RQ/article/details/84958996</link><guid>https://blog.csdn.net/HM_RQ/article/details/84958996</guid><author>HM_RQ</author><pubDate>Tue, 11 Dec 2018 17:44:08 +0800</pubDate><description><![CDATA[hbase写入慢：

1.region在合并

2.gc时间

3.内存不足

regionserver重启后加载很慢

日志：

2018-12-18 11:22:03,817 INFO  [LruBlockCacheStatsExecutor] hfile.LruBlockCache: totalSize=19.24 MB, freeSize=18.31 GB, max=18.33 GB, b...]]></description><category></category></item></channel></rss>