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There is no way to identify the service from the clue “who wrote first after midnight” alone. It points to a possible timing or file-handling issue, but does not prove a race or establish that any record was destroyed. The likely explanations include a copy-and-truncate gap, an application still writing to a rotated file, competing writers, or a log viewer showing only the current segment. To find the cause, trace the service’s writes, rotation steps, and files around the event.
What “who wrote first” could mean
Midnight rotation can coincide with writes from one or more processes. The order of operations matters, but several different mechanisms can produce similar symptoms: records may be missing from the active file, present in a rotated file, garbled by concurrent writers, or absent only from the view used to inspect them.
The title does not name a service, operating system, rotation tool, or affected file. Treat the timing clue as a starting point, not a root-cause finding.
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With logrotate’s copytruncate option, the existing log is copied and then truncated in place. This can be useful when a program cannot be instructed to close and reopen its log. The logrotate manual warns that there is a small interval between the copy and truncation during which logging data might be lost. A write in that interval is a plausible explanation if the file was copied and truncated at the time records went missing; the configuration and event timeline are needed to establish that it happened.
Renaming a file without reopening the writer
In rename-based rotation, the old file is moved aside and a new file can be created at the active path. The logrotate manual specifies that a configured create action makes the new file immediately after rotation, before the postrotate script runs. But an application with the old file open may continue writing through that handle into the renamed file. Check whether the service received a reopen signal or was restarted; a midnight rename by itself does not prove that it kept writing to the old file.
Multiple processes writing to one file
Rotation is not the only possible source of a timing-dependent symptom. The PostgreSQL 16 logging documentation warns that on some platforms, concurrent processes writing to one file without PostgreSQL’s logging collector can lose or garble output. The collector is designed not to lose messages, but under extreme load writers can be blocked if it falls behind. These are PostgreSQL-specific documented behaviors, not a diagnosis of another service.
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A log viewer showing only one segment
Kubernetes commonly captures container output from stdout and stderr and rotates container log files through the kubelet. Its logging documentation warns that kubectl logs may return at most the current file segment after rotation. A record missing from that command’s output may still exist in a rotated file or downstream log store.
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How to trace the missing record
- Identify the workload. Record the service and version, host or container environment, and logging destination. Determine whether it writes to stdout or stderr, a direct file, syslog, or a service-managed collector.
- Write down the rotation sequence. Establish the trigger and order of operations: copy or rename, file creation or truncation, any
postrotatecommand, and when the application reopens its log or restarts. - Check the clock basis. Compare the service timezone with the scheduler’s time basis. “After midnight” might mean local time or UTC. Python’s timed rotating handler, for example, has a UTC option; do not assume another service uses the same default or setting.
- Follow one known record. Search for its timestamp or unique content in the active file, rotated files, and downstream collector. Compare file identity and collection checkpoints where available. A query command or interface may expose less than the underlying storage retains.
- Distinguish the failure mode. Look for evidence of a copy/truncate interval, writes continuing to a renamed file, garbled output from concurrent writers, retention deletion, or a collection/display gap. These possibilities call for different remedies.
Choose a rotation approach that fits the writer
There is no universal fix without knowing the application and deployment. Decide who owns rotation, whether the writer can reopen its file, and what trade-off the system can tolerate.
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| Decision | What to check | Why it matters |
|---|---|---|
| Rotation ownership | External tool such as logrotate, or an application-managed rolling appender | Log4j documents both a logrotate copytruncate recipe and a rolling-file appender approach. Avoid having multiple mechanisms rotate the same file. |
| Writer reopen support | Can the service be signaled or restarted after a rename? | Logrotate documents copytruncate for programs that cannot be told to close their log, while rename-based rotation depends on the writer switching to the new path if it should write there. |
| Loss versus blocking behavior | Is a copy/truncate gap acceptable? Can the service use a logging collector? | copytruncate has a documented interval in which data might be lost. PostgreSQL’s collector is designed not to lose messages, but extreme load can block writers if it falls behind. |
| Time and retention | Local time or UTC, rollover schedule, retained-file count, and what the inspection interface returns | A schedule determines when rotation occurs; retention and viewer behavior determine whether an older record remains accessible. Python’s timed handler uses backupCount to configure backups, while Kubernetes notes that kubectl logs can show only the current segment. |
Configuration examples are runtime-specific. RabbitMQ documents logrotate as its recommended file-logging rotation path on Linux and says its built-in date and size rotation modes are mutually exclusive (RabbitMQ logging documentation). Apache Sling documents daily rollover at midnight into a new active file (Apache Sling logging documentation). Verify the deployed version and actual settings before adapting either example.
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