Added R data extraction to CSV and simple plots

brace2015/analysis.r

@@ -0,0 +1,113 @@
+library("RSQLite")
+args<-commandArgs(TRUE)
+
+name_prefix = 'node'
+master_index_list = c(3,7,11,16,30,22,35)
+slave_index_list = c(4,8,12,17,32,26,36)
+q1 = "_senders.name LIKE '%"
+q2 = "_nmetrics_cxt%'"
+master_query_list = paste0( paste0(q1, paste0(name_prefix,master_index_list), q2), collapse=' or ' )
+slave_query_list = paste0( paste0(q1, paste0(name_prefix,slave_index_list), q2), collapse=' or ' )
+
+plot.cpu <- function(db) {
+  library("RSQLite")
+  con <- dbConnect(dbDriver("SQLite"), dbname=db)
+  query = paste0(
+    "SELECT * FROM nmetrics_cpu JOIN _senders WHERE oml_sender_id=_senders.id ",
+    "AND (",master_query_list,")"
+  )
+  name =  unlist(strsplit(db,'.sq3'))
+  cpu = dbGetQuery(con, query)
+  pdf(file=paste0(name,'.cpu.pdf'), width=7,height=7)
+  y=(diff(cpu$user)/diff(cpu$total))
+  x=(cpu$oml_ts_client)[1:length(y)]
+  plot(
+    x=x, y=y, t='l',
+    xlab='Time [s]',
+    ylab="User CPU [%]",
+    main=name
+  )
+  dev.off()
+  dbDisconnect(con)
+  d = data.frame(
+    time=x,
+    cpu_user_percent=y,
+    cpu_sys_percent=(diff(cpu$sys)/diff(cpu$total))
+  )
+  write.csv(d,file=paste0(name,'.cpu.csv'))
+}
+
+plot.mem <- function(db) {
+  library("RSQLite")
+  con <- dbConnect(dbDriver("SQLite"), dbname=db)
+  query = paste0(
+    "SELECT * FROM nmetrics_memory JOIN _senders WHERE oml_sender_id=_senders.id ",
+    "AND (",master_query_list,")"
+  )
+  name =  unlist(strsplit(db,'.sq3'))
+  mem = dbGetQuery(con, query)
+  pdf(file=paste0(name,'.mem.pdf'), width=7,height=7)
+  x=mem$oml_ts_client
+  y=mem$actual_used
+  plot(
+    x=x, y=y, t='l',
+    xlab='Time [s]',
+    ylab="Actual Used Memory [B]",
+    main=name
+  )
+  dev.off()
+  dbDisconnect(con)
+  d = data.frame(
+    time=x,
+    total_byte=mem$total,
+    actual_used_byte=mem$actual_used,
+    actual_free_byte=mem$actual_free
+  )
+  write.csv(d,file=paste0(name,'.mem.csv'))
+}
+
+plot.net <- function(db) {
+  library("RSQLite")
+  con <- dbConnect(dbDriver("SQLite"), dbname=db)
+  query = paste0(
+    "SELECT * FROM nmetrics_network JOIN _senders WHERE oml_sender_id=_senders.id ",
+    "AND (",master_query_list,")"
+  )
+  name =  unlist(strsplit(db,'.sq3'))
+  net = dbGetQuery(con, query)
+  pdf(file=paste0(name,'.net.rx.pdf'), width=7,height=7)
+  x=net$oml_ts_client
+  y=net$rx_bytes
+  plot(
+    x=x, y=y, t='l',
+    xlab='Time [s]',
+    ylab="Received Traffic [B]",
+    main=name
+  )
+  dev.off()
+  pdf(file=paste0(name,'.net.tx.pdf'), width=7,height=7)
+  y=net$tx_bytes
+  plot(
+    x=x, y=y, t='l',
+    xlab='Time [s]',
+    ylab="Transmitted Traffic [B]",
+    main=name
+  )
+  dev.off()
+  dbDisconnect(con)
+  d = data.frame(
+    time=x,
+    rx_bytes=net$rx_bytes,
+    rx_packet=net$rx_packets,
+    tx_bytes=net$tx_bytes,
+    tx_packet=net$tx_packets
+  )
+  write.csv(d,file=paste0(name,'.net.csv'))
+}
+
+# extract_all <- function(db) {
+db = args[1]
+plot.cpu(db)
+plot.mem(db)
+plot.net(db)
+# }