zoo

window 下启动zookeeper闪退，百度半天没有找到怎么解决，看了下zookeeper启动加载项，zk在启动时加载log和zoo文件，但是zk解压出来zoo文件名字是zoo_examle 所以修改下文件名字为zoo就可以了 来源： CSDN 作者： spring_great 链接： https://blog.csdn.net/spring_great/article/details/50283855

ZooKeeper是一个分布式的，开放源码的分布式应用程序协调服务，它包含一个简单的原语集，分布式应用程序可以基于它实现同步服务，配置维护和命名服务等。Zookeeper是hadoop的一个子项目，其发展历程无需赘述。在分布式应用中，由于工程师不能很好地使用锁机制，以及基于消息的协调机制不适合在某些应用中使用，因此需要有一种可靠的、可扩展的、分布式的、可配置的协调机制来统一系统的状态。Zookeeper的目的就在于此。本文简单分析zookeeper的工作原理，对于如何使用zookeeper不是本文讨论的重点。 1 Zookeeper的基本概念 1.1 角色 Zookeeper中的角色主要有以下三类，如下表所示： 系统模型如图所示： 1.2 设计目的 1.最终一致性：client不论连接到哪个Server，展示给它都是同一个视图，这是zookeeper最重要的性能。 2 .可靠性：具有简单、健壮、良好的性能，如果消息m被到一台服务器接受，那么它将被所有的服务器接受。 3 .实时性：Zookeeper保证客户端将在一个时间间隔范围内获得服务器的更新信息，或者服务器失效的信息。但由于网络延时等原因，Zookeeper不能保证两个客户端能同时得到刚更新的数据，如果需要最新数据，应该在读数据之前调用sync()接口。 4 .等待无关（wait-free）

I am having a trouble while extracting the path from a ggplot and am stuck with an error. The image given below explains the result I am looking for: (Done in image editor for explaining purpose) Let's assume that Plot 1 is my original plot. What I am looking for is taking first point as 'F' point and traveling 24hrs from that point. Des %>% mutate(nf = cumsum(ACT=="F")) %>% # build F-to-F groups group_by(nf) %>% mutate(first24h = as.numeric((DateTime-min(DateTime)) < (24*3600))) %>% # find the first 24h of each F-group ggplot(aes(x=Loq, y=Las)) + geom_path(aes(colour=first24h)) + scale_size

> library(PerformanceAnalytics) > data(managers) > class(managers) [1] "xts" "zoo" > head(managers) HAM1 HAM2 HAM3 HAM4 HAM5 HAM6 EDHEC LS EQ SP500 TR US 10Y TR US 3m TR 1996-01-31 0.0074 NA 0.0349 0.0222 NA NA NA 0.0340 0.00380 0.00456 1996-02-29 0.0193 NA 0.0351 0.0195 NA NA NA 0.0093 -0.03532 0.00398 1996-03-31 0.0155 NA 0.0258 -0.0098 NA NA NA 0.0096 -0.01057 0.00371 1996-04-30 -0.0091 NA 0.0449 0.0236 NA NA NA 0.0147 -0.01739 0.00428 1996-05-31 0.0076 NA 0.0353 0.0028 NA NA NA 0.0258 -0.00543 0.00443 1996-06-30 -0.0039 NA -0.0303 -0.0019 NA NA NA 0.0038 0.01507 0.00412 When I try to

I'm working with time series data at 5-minute time intervals. Some of the 5-minute time series are missing. I'd like to resample the dataset to fill in the missing 5-minute periods with NaN values. I found great information on how to approach this here: R: Insert rows for missing dates/times . I've created a data.frame "df" with a POSIXct timeseries column "time". The pad function in the padr package allows a user to set an interval by the minute, hour, day, etc. interval The interval of the returned datetime variable. When NULL the the interval >will be equal to the interval of the datetime

I am trying to build a rolling regression function based on the example here , but in addition to returning the predicted values, I would like to return the some rolling model diagnostics (i.e. coefficients, t-values, and mabye R^2). I would like the results to be returned in discrete objects based on the type of results. The example provided in the link above sucessfully creates thr rolling predictions, but I need some assistance packaging and writing out the rolling model diagnostics: In the end, I would like the function to return three (3) objects: Predictions Coefficients T values R^2

I have 15-minute OHLC data and want to convert to daily OHLC but with the start of the day at 17:00:00. This way, the resulting daily bar should span from 17:00:00 to 17:00:00, not from 00:00:00 to 00:00:00 _ x <- zoo(runif(25), order.by=seq( as.POSIXct("2010-05-03 17:00:00"), as.POSIXct("2010-05-06 17:00:00"), by="15 min" ) ) _ head(x) 2010-05-03 17:00:00 0.9788685 2010-05-03 17:15:00 0.5414294 2010-05-03 17:30:00 0.8435366 2010-05-03 17:45:00 0.3064713 2010-05-03 18:00:00 0.1395849 2010-05-03 18:15:00 0.9916730 Using xts : Changing the periodicity from 15m to 60m works nicely: x_agg <- to

#0 系列目录# Zookeeper系列 【Zookeeper系列一】Zookeeper应用介绍与安装部署 【Zookeeper系列二】ZooKeeper典型应用场景实践 【Zookeeper系列三】ZooKeeper Java API使用 【Zookeeper系列四】ZooKeeper 分布式锁实现 【Zookeeper系列五】ZooKeeper 实时更新server列表 【Zookeeper系列六】Zookeeper 工作原理 Zookeeper源码 【Zookeeper源码一】Zookeeper 源码环境搭建 【Zookeeper源码二】Zookeeper 客户端创建连接过程分析 【Zookeeper源码三】Zookeeper 单机版服务器介绍 【Zookeeper源码四】Zookeeper 集群版服务器介绍 【Zookeeper源码五】Zookeeper 集群版建立连接过程 Zookeeper应用 基于ZooKeeper的分布式Session实现 #1 Zookeeper概述# ZooKeeper是一个为分布式应用所设计的分布的、开源的协调服务，它主要是 用来解决分布式应用中经常遇到的一些数据管理问题，简化分布式应用协调及其管理的难度，提供高性能的分布式服务 。ZooKeeper本身可以 以Standalone模式安装运行 ，不过

I do have a time-series looking like this (minute values): "timestamp", value "2012-04-09 05:03:00",2 "2012-04-09 05:04:00",4 "2012-04-09 05:05:00",5 "2012-04-09 05:06:00",0 "2012-04-09 05:07:00",0 "2012-04-09 05:08:00",3 "2012-04-09 05:09:00",0 "2012-04-09 05:10:00",1 Is there an easy way to plot these values over the hour of the day: X-Axis from 1 to 24 hours (or 0 and 23). So - all values between 5:00 and 5:59 over the 5th hour etc. It doesn't depend wich date, I am just interested in the houers of the day. Thank you! Additional Question: Can I plot this as a boxplot? Right now it's plot(df