csv import failed truncated at 500 rows questionnaire
Fixes questionnaire CSV imports truncated at row limits by chunking the file. Use it when imports stop at a round number. Not for outright import errors.
csv import failed truncated at 500 rows questionnaire: how to fix it
A questionnaire CSV import that truncates at 500 rows has hit a row limit in the importer or a timeout disguised as success. Split the file into chunks under the limit and import them in sequence. Verify the total row count after each chunk so nothing goes missing silently.
csv import failed truncated at 500 rows questionnaireWhen to use this skill
- Imports stop at a round row count
- The import reports success but questions are missing
When not to use this skill
- The import errors outright (a structural issue)
- Rows are missing randomly, not at a clean cutoff (a data issue)
Tool compatibility
RFP questionnaire CSV imports with row limits. Related area: CSV and Excel data import pipelines. Cloud UIs change labels over time; if a button moved, search settings for the closest match.
Before you start
- Sign in to the tool and keep one tab open so sessions stay clean
- Copy the exact error text and note the time it happened
- Set aside 15 to 20 minutes; most of these resolve in a single pass
Quick diagnosis
Make sure this is the right skill before you invest the 15 minutes.
- If you are dealing with imports stop at a round row count, start at step 1 below.
- If instead the import errors outright (a structural issue), stop here; you need a different skill.
- If neither quite matches, compare your screen against the verbatim error block at the top; that block is exactly what this skill covers.
Fix it in steps
1. Confirm the truncation
Count the imported questions and compare against the source file row count.Expected: imports stop at a round number like 500.
2. Split the CSV into chunks
Divide the file into parts under the limit, keeping the header row on each.Expected: multiple smaller files ready to import.
3. Import chunks in order
Upload each chunk sequentially, waiting for each to finish.Expected: every chunk imports fully.
4. Verify the total
Count all imported questions against the source total.Expected: the counts match exactly.
Confirm each step worked
Run through this checklist before moving on. If a check fails, redo that step instead of pushing ahead.
- Step 1 (confirm the truncation): Expected: imports stop at a round number like 500.
- Step 2 (split the csv into chunks): Expected: multiple smaller files ready to import.
- Step 3 (import chunks in order): Expected: every chunk imports fully.
- Step 4 (verify the total): Expected: the counts match exactly.
Quick recap
- Confirm the truncation
- Split the CSV into chunks
- Import chunks in order
- Verify the total
Still stuck?
Gather three things: the exact error text, the time it happened, and what changed just before it broke. Check the vendor status page for an active incident. Then open a support ticket with those three things; it cuts the back-and-forth in half. For agent runs, attach the last 50 lines of the agent log too, since the loop or timeout signature in the log usually names the cause.
Variant phrasings
csv import truncated 500 rows
Chunk under the limit and verify totals. If this matches what you saw, the steps above apply as written.
questionnaire import missing rows
Silent truncation is worse than an error, always count. If this matches what you saw, the steps above apply as written.
Why it happens
Importers often cap rows per job for performance, and some report success after silently stopping at the cap. Without a row count check, the missing questions go unnoticed until the RFP is half answered.
Edge cases
- Keep the header row on every chunk
- Import order can matter for numbered questions
- Ask support for the documented limit so you chunk correctly
Provenance
Resolved from the public thread: https://vectle.com/posts/pst_6zI-NSgnKejNR9aMVzD1iw