source("functions.r"); nsh <- read.csv('node_status_history.csv', sep=',', header=TRUE) # system("./harvest_nodehistory.py > node_status_history_nopcu.csv") nsh_nopcu <- read.csv('node_status_history_nopcu.csv', sep=',', header=TRUE) nsh_m1 <- read.csv('node_status_history_m1.csv', sep=',', header=TRUE) # system("stats-m1/harvest_nodehistory_m1.py > ./node_status_history_m1_nopcu.csv") nsh_m1_nopcu <- read.csv('node_status_history_m1_nopcu.csv', sep=',', header=TRUE) nsh_m1_nopcu_may <- read.csv('node_status_history_m1_nopcu_may08sep08.csv', sep=',', header=TRUE) node_hist_image <- function (t, year, from, to, max=0, type="week", title="") { dates <-seq(as.Date(from), as.Date(to), type) months <- format(dates, "%b-%d") hbreaks<-unclass(as.POSIXct(dates)) image <- matrix(data=0, nrow=max(as.numeric(t$hostname)), ncol=length(hbreaks)) for ( i in seq(1, length(hbreaks)) ) { # find the range : d plus a day d <- hbreaks[i] d_end <- d+60*60*24 # find unique hosts in this day range t_sub <- t[which(t$start > d & t$start <= d_end & t$status == 'down'),] unique_hosts <- unique(t_sub$hostname) if (length(unique_hosts) == 0 ) { next } host_n_list <- unique_hosts host_s_list <- as.character(unique_hosts) for ( hi in seq(1, length(unique_hosts)) ) { host_s <- host_s_list[hi] host_n <- host_n_list[hi] # events for this host after d (to avoid already identified events) ev <- t[which(t$hostname == host_s & t$start > d ),] print (sprintf("events length for host %s %s", host_s, length(ev$start))); # get down events for this host down_ev_index_list <- which(ev$status == 'down') for ( e_i in down_ev_index_list ) { if ( e_i == length(ev$status) ) { # then the node ends down, so fill in the rest with 1. for ( j in seq(i,length(hbreaks)) ) { image[host_n,j] <- 1 } } else { # then there is a subsequent 'good' event good_ev <- ev[e_i+1,] down_ev <- ev[e_i,] dbreaks <- seq(d,good_ev$start+60*60*24,60*60*24) # for every index for time d, to good_ev$start l<-length(dbreaks) print (sprintf("length %s",l)); for ( j in seq(i,i+l) ) { image[host_n,j] <- 1 } } } } } myImagePlot(image, xLabels=months, yLabels=c(""), title=title) return (image); } node_hist_dist <- function (t, year, from, to, max=0, type="week", title="") { dates <-seq(as.Date(from), as.Date(to), type) months <- format(dates, "%b-%d") hbreaks<-unclass(as.POSIXct(dates)) current_ts <- unclass(as.POSIXct(Sys.Date())) dist <- NULL unique_hosts <- unique(t$hostname) host_n_list <- unique_hosts host_s_list <- as.character(unique_hosts) down <- 0 for ( hi in seq(1, length(unique_hosts)) ) { host_s <- host_s_list[hi] host_n <- host_n_list[hi] # events for this host after d (to avoid already identified events) ev <- t[which( t$hostname == host_s ),] print (sprintf("events length for host %s %s", host_s, length(ev$start))); # get down events for this host down_ev_index_list <- which(ev$status == 'down') for ( e_i in down_ev_index_list ) { # when equal, there is no resolution so leave it as down if ( e_i != length(ev$status) ) { good_ev <- ev[e_i+1,] down_ev <- ev[e_i,] dist <- c(dist, good_ev$start - down_ev$start) } else if ( e_i == length(ev$status) && length(ev$status) == 1) { print (sprintf("DOWN FOREVER! %s", length(ev$start) )) down <- down + 1 dist <- c(dist, 10*current_ts - ev$start) } } } print(down); return (dist); } nsh_image <- node_hist_image(nsh, '2009', '2009-06-01', '2010-02-28', 0, 'day') nsh_image_m1 <- node_hist_image(nsh_m1, '2009', '2008-10-01', '2009-03-28', 0, 'day') nsh_short <- nsh[which(nsh$start > unclass(as.POSIXct("2009-06-01", origin="1970-01-01"))[1]),] nsh_short <- nsh_short[which(nsh_short$start < unclass(as.POSIXct("2009-10-31", origin="1970-01-01"))[1]),] nsh_short <- nsh_nopcu nsh_dist <- node_hist_dist(nsh_short, '2009', '2009-06-01', '2010-02-28', 0, 'day') d<- ecdf(nsh_dist/(60*60*24)) #nsh_m1_short <- nsh_m1[which(nsh_m1$start > unclass(as.POSIXct("2008-10-01", origin="1970-01-01"))[1]),] nsh_m1_short <- nsh_m1_nopcu # NOTE: something happened betweeen 10-2 and 10-3 t_1015 <- unclass(as.POSIXct("2008-10-15", origin="1970-01-01"))[1] t_0224 <- unclass(as.POSIXct("2009-02-24", origin="1970-01-01"))[1] nsh_m1_short <- nsh_m1_nopcu[which(nsh_m1_nopcu$start > t_1015 & nsh_m1_nopcu$start <= t_0224),] nsh_m1_short <- nsh_m1_nopcu nsh_dist_m1 <- node_hist_dist(nsh_m1_short, '2008', '2008-10-01', '2009-03-22', 0, 'day') d_m1<- ecdf(nsh_dist_m1/(60*60*24)) t_0530 <- unclass(as.POSIXct("2008-05-30", origin="1970-01-01"))[1] t_0815 <- unclass(as.POSIXct("2008-08-15", origin="1970-01-01"))[1] nsh_m1_short <- nsh_m1_nopcu_may[which(nsh_m1_nopcu_may$start > t_0530 & nsh_m1_nopcu_may$start <= t_0815),] nsh_dist_m1 <- node_hist_dist(nsh_m1_short, '2008', '2008-05-10', '2008-08-15', 0, 'day') d_m1_may <- ecdf(nsh_dist_m1/(60*60*24)) # d<-ecdf(nsh_dist[which(nsh_dist/(60*60*24) < 90 )]/(60*60*24)), # 180 ~= 6 months. par(mfrow=c(1,1)) par(mai=c(.9,.9,.1,.1)) start_image("node_history_ttr_nopcu.png") plot(d, xlim=c(0,180), ylim=c(0,1), axes=F, xlab="Days to Resolve", ylab="Percentile", col.hor='red', col.vert='red', pch='.', col.points='red', main="") plot(d_m1, xlim=c(0,180), ylim=c(0,1), xlab="Days to Resolve", ylab="Percentile", col.hor='blue', col.vert='blue', pch='.', col.points='blue', add=TRUE) plot(d_m1_may, xlim=c(0,180), ylim=c(0,1), xlab="Days to Resolve", ylab="Percentile", col.hor='green', col.vert='green', pch='.', col.points='green', add=TRUE) weeks <- c(0,7,14,21,28,60,90,120,150,180) axis(1, labels=weeks, at=weeks) percentages <- c(0,0.25, 0.5, 0.75, 0.85, 0.95, 1) axis(2, las=1, labels=percentages, at=percentages) abline(v=c(7,14,21,28), col='grey80', lty=2) abline(h=c(0.5, 0.6, 0.75, 0.85, 0.95 ), col='grey80', lty=2) abline(v=c(91), col='grey80', lty=2) legend(100, 0.1, cex=0.7, legend=c("Typical MyOps -- July2009-Feb2010", "Notice Bug -- Oct2008-Mar2009", "Kernel Bug -- May2008-Sept2008"), pch=c('-', '-', '-'), col=c('red', 'blue', 'green'), lty=c(1, 1, 1), merge=T) end_image()