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My log has values separated by commas, but no field names

Situation: You pasted lines of values and clicked Analyze Logs. Parser Studio says that the values were found, but their names are not trustworthy. That is expected when the source contains only positions. CSV sample with unnamed fields and Keep all five values with temporary names action The app identifies five columns but does not guess what they mean.

Practice sample

For this fictional practice data, assume the product’s specification says the column order is timestamp, action, src_ip, dst_ip, dst_port.

Walkthrough

  1. Select Auto Parser, paste the complete sample and choose Analyze Logs.
  2. If a warning says values were found but there are no names, look for Names to give each value.
  3. If you have the vendor field document, type the field names in exactly the published order.
  4. Under Character between the values, select the actual delimiter (for this example, Comma (,)).
  5. Click I Confirm These CSV Column Names when the application enables it.
  6. If you do not have a trustworthy definition, click Keep all 5 values with temporary names. Temporary names such as field_001 preserve the data, but are not official field meanings.
  7. Continue to Review Fields, compare column positions against the raw line, then enter Map Fields and correct the destinations.
  8. Only then continue to Create Parser and the final test.
CSV review after keeping all five source values with temporary column names When you do not have trustworthy names, preserve all five columns with temporary names and confirm the review before mapping.

Expected review outcome

All five values are preserved in their original order on every record. Source-backed names are used only if you actually confirmed what they mean.

Recovery path

If the column count changes between rows, stop. Some logs from the same product have different shapes. Follow the multiple-log-types guide instead of stretching one column definition over every row.
A field named field_001 is intentionally neutral. Do not label it “timestamp” merely because a sample value looks like a date unless the source definition supports that interpretation.
Last modified on October 18, 2026