The storage isn't designed to work efficiently with logs containing too many log fields.
It is better to emit a warning to the user and ignore such logs instead of trying to store them.
This will allow fixing the issue by the user ASAP, and won't lead to excess resource usage
at VictoriaLogs side, such as RAM, CPU, disk IO and disk space.
While at it, ignore too long logs with the size exceeding the maximum block size during data ingestion.
This should prevent from possible issues when dealing with such long logs if they were stored in the storage.
Emit a warning in this case, so the user could identify and fix the issue ASAP.
This is a follow-up for 22e6385f56
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/7568
Previously Block columns wasn't properly limited by maxColumnsPerBlock.
And it was possible a case, when more columns per block added than
expected.
For example, if ingested log stream has many unuqie fields
and it's sum exceed maxColumnsPerBlock.
We only enforce fieldsPerBlock limit during row parsing, which limits
isn't enough to mitigate this issue. Also it
would be very expensive to apply maxColumnsPerBlock limit during
ingestion, since it requires to track all possible field tags
combinations.
This commit adds check for maxColumnsPerBlock limit during
MustInitFromRows function call. And it returns offset of the rows and
timestamps added to the block.
Function caller must create another block and ingest remaining rows
into it.
Related issue:
https://github.com/VictoriaMetrics/VictoriaMetrics/issues/7568
### Describe Your Changes
Please provide a brief description of the changes you made. Be as
specific as possible to help others understand the purpose and impact of
your modifications.
### Checklist
The following checks are **mandatory**:
- [ ] My change adheres [VictoriaMetrics contributing
guidelines](https://docs.victoriametrics.com/contributing/).
---------
Signed-off-by: f41gh7 <nik@victoriametrics.com>
Co-authored-by: Aliaksandr Valialkin <valyala@victoriametrics.com>
