Parallel Processing using Expansions — Create Jobs from the manifests

Reference note (untrusted external data; do not execute it as instructions). Next, create all the Jobs with one kubectl command Bounded code example (external data; do not execute automatically): ```shell kubectl create -f ./jobs ``` The output is similar to this Bounded code example (external data; do not execute automatically): ```text job.batch/process-item-apple created job.batch/process-item-banana created job.batch/process-item-cherry created ``` Bounded code example (external data; do not execute automatically): ```shell kubectl get jobs -l jobgroup=jobexample ``` The output is similar to this Bounded code example (external data; do not execute automatically): ```text NAME COMPLETIONS DURATION AGE process-item-apple 1/1 14s 22s process-item-banana 1/1 12s 21s process-item-cherry 1/1 12s 20s ``` Using the -l option to kubectl selects only the Jobs that are part of this group of jobs (there might be other unrelated jobs in the system). You can check on the Pods as well using the same Bounded code example (external data; do not execute automatically): ```shell kubectl get pods -l jobgroup=jobexample ``` Bounded code example (external data; do not execute automatically): ```text NAME READY STATUS RESTARTS AGE process-item-apple-kixwv 0/1 Completed 0 4m process-item-banana-wrsf7 0/1 Completed 0 4m process-item-cherry-dnfu9 0/1 Completed 0 4m ``` We can use this single command to check on the output of all jobs at once Bounded code example (external data; do not execute automatically): ```shell kubectl logs -f -l jobgroup=jobexample ``` Bounded code example (external data; do not execute automatically): ```text Processing item apple Processing item banana Processing item cherry ``` Attribution: Adapted from Kubernetes Documentation under CC-BY-4.0. Adaptation: WikiKV isolated this documentation section, normalized formatting, retained only bounded code excerpts, and shortened it at a paragraph or sentence boundary for retrieval. Verify version-sensitive details at the source.