Linux Bash Continue in for Loop
Commands affecting loop behavior
- break, continue
-
The break and continue loop control commands [1] correspond exactly to their counterparts in other programming languages. The break command terminates the loop (breaks out of it), while continue causes a jump to the next iteration of the loop, skipping all the remaining commands in that particular loop cycle.
Example 11-21. Effects of break and continue in a loop
#!/bin/bash LIMIT=19 # Upper limit echo echo "Printing Numbers 1 through 20 (but not 3 and 11)." a=0 while [ $a -le "$LIMIT" ] do a=$(($a+1)) if [ "$a" -eq 3 ] || [ "$a" -eq 11 ] # Excludes 3 and 11. then continue # Skip rest of this particular loop iteration. fi echo -n "$a " # This will not execute for 3 and 11. done # Exercise: # Why does the loop print up to 20? echo; echo echo Printing Numbers 1 through 20, but something happens after 2. ################################################################## # Same loop, but substituting 'break' for 'continue'. a=0 while [ "$a" -le "$LIMIT" ] do a=$(($a+1)) if [ "$a" -gt 2 ] then break # Skip entire rest of loop. fi echo -n "$a " done echo; echo; echo exit 0
The break command may optionally take a parameter. A plain break terminates only the innermost loop in which it is embedded, but a break N breaks out of N levels of loop.
Example 11-22. Breaking out of multiple loop levels
#!/bin/bash # break-levels.sh: Breaking out of loops. # "break N" breaks out of N level loops. for outerloop in 1 2 3 4 5 do echo -n "Group $outerloop: " # -------------------------------------------------------- for innerloop in 1 2 3 4 5 do echo -n "$innerloop " if [ "$innerloop" -eq 3 ] then break # Try break 2 to see what happens. # ("Breaks" out of both inner and outer loops.) fi done # -------------------------------------------------------- echo done echo exit 0
The continue command, similar to break, optionally takes a parameter. A plain continue cuts short the current iteration within its loop and begins the next. A continue N terminates all remaining iterations at its loop level and continues with the next iteration at the loop, N levels above.
Example 11-23. Continuing at a higher loop level
#!/bin/bash # The "continue N" command, continuing at the Nth level loop. for outer in I II III IV V # outer loop do echo; echo -n "Group $outer: " # -------------------------------------------------------------------- for inner in 1 2 3 4 5 6 7 8 9 10 # inner loop do if [[ "$inner" -eq 7 && "$outer" = "III" ]] then continue 2 # Continue at loop on 2nd level, that is "outer loop". # Replace above line with a simple "continue" # to see normal loop behavior. fi echo -n "$inner " # 7 8 9 10 will not echo on "Group III." done # -------------------------------------------------------------------- done echo; echo # Exercise: # Come up with a meaningful use for "continue N" in a script. exit 0
Example 11-24. Using continue N in an actual task
# Albert Reiner gives an example of how to use "continue N": # --------------------------------------------------------- # Suppose I have a large number of jobs that need to be run, with #+ any data that is to be treated in files of a given name pattern #+ in a directory. There are several machines that access #+ this directory, and I want to distribute the work over these #+ different boxen. # Then I usually nohup something like the following on every box: while true do for n in .iso.* do [ "$n" = ".iso.opts" ] && continue beta=${n#.iso.} [ -r .Iso.$beta ] && continue [ -r .lock.$beta ] && sleep 10 && continue lockfile -r0 .lock.$beta || continue echo -n "$beta: " `date` run-isotherm $beta date ls -alF .Iso.$beta [ -r .Iso.$beta ] && rm -f .lock.$beta continue 2 done break done exit 0 # The details, in particular the sleep N, are particular to my #+ application, but the general pattern is: while true do for job in {pattern} do {job already done or running} && continue {mark job as running, do job, mark job as done} continue 2 done break # Or something like `sleep 600' to avoid termination. done # This way the script will stop only when there are no more jobs to do #+ (including jobs that were added during runtime). Through the use #+ of appropriate lockfiles it can be run on several machines #+ concurrently without duplication of calculations [which run a couple #+ of hours in my case, so I really want to avoid this]. Also, as search #+ always starts again from the beginning, one can encode priorities in #+ the file names. Of course, one could also do this without `continue 2', #+ but then one would have to actually check whether or not some job #+ was done (so that we should immediately look for the next job) or not #+ (in which case we terminate or sleep for a long time before checking #+ for a new job).
The continue N construct is difficult to understand and tricky to use in any meaningful context. It is probably best avoided.
Source: https://tldp.org/LDP/abs/html/loopcontrol.html
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