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1Repair Windows errors before they cause bigger problems2Fix the driver behind crashes, sound loss and screen glitches3Clear out junk files and repair common Windows errorsNeither Temporal nor Spring Batch makes every Java job failure disappear—or guarantees that a job will finish. Spring Batch persists job and step execution metadata, but an abrupt process death can leave an execution marked STARTED until an operator recovers it. Temporal retries failed Workflow Tasks while an execution remains open, but a failed Workflow Execution closes unless a retry policy starts another run. The right choice depends on how your workload progresses, restarts, and needs operator intervention.
What “silent job failure” can mean
A job may appear to stop “without failing” for different reasons: the process may have died before recording a final status; a step may have failed while the overall job flow ended with a COMPLETED status; or a task may be retrying while its workflow execution remains open. Those situations call for different checks and recovery actions.
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Spring Batch organizes work as jobs and steps and records execution metadata in a JobRepository. Temporal applications define Workflows, Activities, and Workers; workflow history supports replay and recovery. These are different execution models, not interchangeable labels for the same kind of job runner. See the Spring Batch job configuration reference and the Temporal Java SDK developer guide.
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Spring Batch and Temporal compared
| Operational question | Spring Batch | Temporal |
|---|---|---|
| Where does progress live? | In job and step execution metadata persisted by the JobRepository. Spring Batch reference |
In Workflow Execution history, which supports replay and recovery. Temporal task documentation |
| What happens after a process or task problem? | A restart depends on persisted state and job/step configuration; a hard process death can leave an execution marked STARTED. Spring Batch recovery documentation |
A failed Workflow Task is retried while the Workflow Execution stays open; a failed Workflow Execution closes. Temporal task documentation |
| What controls another attempt? | Restartability, step configuration, and any retry configured for eligible exceptions. Restart reference · Retry reference | Task retry behavior or a configured retry policy for another Workflow Execution run, depending on the failure type. Temporal task documentation |
| What should operators inspect? | Job and step execution state, exit status, repository metadata, and launcher/operator logs. A job-level status alone may not tell the whole story. Spring Batch flow documentation | Whether the event is a Workflow Task failure or an execution failure, plus the execution status and history. Temporal task documentation |
Why a Spring Batch job may stop without a clear failure
A hard crash can leave stale execution state
If a JVM is killed or its host fails, the process cannot update the repository with a final status. Spring Batch documents that the JobRepository has no way to know the process died if no one told it before the failure. The result can be an execution still marked STARTED, even though no job is running. This is why recovery after abrupt termination is not automatic. Read Advanced Metadata Usage.
The job status may not reveal a failed step
Inspect both the job’s BatchStatus and ExitStatus, and the corresponding status and exit status for each step. Spring Batch flow transitions can produce a job-level COMPLETED status even when a step failed. Check the configured flow alongside the execution records rather than treating the job status as a complete diagnosis. See Controlling Step Flow.
Confirm the repository and launch context
Identify the exact JobInstance and JobExecution, then check the repository’s persisted records and the launcher or operator logs. Confirm that the repository is durable and configured as expected, and whether the process ended cleanly. A restart is governed by the execution state and job/step configuration, not simply by rerunning a command with the same parameters.
Rank #2
How to recover a Spring Batch execution stuck in STARTED
- Find the specific execution. Use the repository and operational logs to identify the relevant job instance, job execution, and step executions. Check their statuses and exit statuses before taking action.
- Establish whether the original process is still active. A
STARTEDrecord does not prove a live process is running, and it does not prove that restarting is safe. Verify the process or host state using your own deployment and monitoring systems. - Assess business side effects and restart data. Determine whether the job wrote partial output or performed external actions before it stopped. Confirm that the available checkpoint and application data support the recovery you intend.
- Use the documented operator recovery path. Spring Batch describes recovery through
JobOperator; changing a record toFAILEDorABANDONEDrequires an operator to make a business decision. Do not blindly relaunch with identical parameters or manually alter state. Follow the advanced metadata guidance. - Restart only after checking restart rules. Spring Batch normally skips completed steps on restart. Configuration can permit completed steps to run again, while start limits can prevent repeated execution. Review the job and step settings in Configuring a Step for Restart before initiating another run.
Does Temporal automatically retry a failed workflow?
Not all failures mean the same thing. A Workflow Task failure is a failure to process a task, not a failed business execution. Temporal’s service retries that task with exponential backoff while the Workflow Execution remains open, until a task completes, an operator terminates the execution, or the Workflow Execution Timeout is reached. A Workflow Execution failure closes the execution; another run requires an applicable retry policy. The distinction is documented in Temporal’s task documentation.
For diagnosis, first determine which failure occurred. Then inspect the execution status and history for task-failure events or a closed execution. Do not describe every failure as “automatically retried”: task retry and a policy that starts another execution are different behaviors.
How retry and restart behave in Spring Batch
Restart is not the same as retry
A restart resumes a job according to persisted execution state and restart configuration. By default, completed steps are skipped, although configuration can allow them to start again; a step’s start limit can also stop repeated execution. These rules are separate from retrying an individual operation inside a step. The restart reference explains step restart behavior.
Retry only the failures you have classified as transient
Spring Batch retry is intended for selected transient problems, not every exception. Decide which errors merit another attempt and configure retry accordingly; indiscriminate retry can repeat a permanent failure without making progress. In the cited Spring Batch 6.0.5 reference, framework retry uses the core retry feature from Spring Framework 7.0 rather than Spring Retry. Check the versions in your application before using retry examples: APIs and dependencies differ across Spring Batch releases. See Retry and Configuring Retry Logic.
Rank #4
Which framework fits a long-running Java job?
| Choose based on | Spring Batch is a natural fit when… | Temporal is a natural fit when… |
|---|---|---|
| Work shape | The workload is organized as batch jobs and steps, and persisted batch execution metadata is central to operating it. | The application is built around Java Workflows, Activities, and Workers, with workflow history and replay central to recovery. |
| Recovery model | Your operations model can inspect repository state and make explicit decisions about restarting or changing a stale execution. | You want task-failure handling within an open workflow and can configure execution retry behavior for failures that close a run. |
| Retry granularity | You need to distinguish job/step restart from retrying selected transient problems within a step. | You need to distinguish Workflow Task retry from retrying a failed Workflow Execution as another run. |
| Adoption constraints | Your team’s existing job design, repository, transaction needs, and versioned Spring Batch configuration align with the batch model. | Your team is prepared to structure application code as Temporal Workflows, Activities, and Workers and operate that model. |
This is a workload-based choice, not a reliability ranking. The official documentation cited here does not provide a direct head-to-head performance benchmark or universal failure-rate comparison, so it cannot establish that one framework is faster or more reliable for every workload.
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Make either system safer to operate
- Make external side effects safe to repeat, for example by using application-level idempotency where appropriate.
- Classify transient and permanent errors, then set retry limits and timeouts that reflect the work rather than relying on unbounded retries.
- Alert on execution age and repeated failures, and make the execution identifier and recovery procedure easy for operators to find.
- Record enough context to connect framework state with business outcomes, especially when a process can stop after partial side effects.
These are operational recommendations, not guarantees supplied by either framework. Both systems still depend on application behavior, configuration, and sound recovery decisions.
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