Observed Signal · Aug 26, 2026 · Technical Release · Source: DEV Community · Impact: 1/5 · Sentiment: Positive
Export SQL Results to CSV and Excel Safely
A technical how-to showing how to export SQL query results to CSV or XLSX without corrupting values (leading zeros, accented characters, dates). The author demonstrates that CSV exports preserve bytes but that damage usually occurs when Excel guesses column types on open. Recommended practices include opening CSVs in Excel via Data → Get Data → From Text/CSV (set File Origin to UTF-8 and mark code columns as Text), adding a UTF-8 byte order mark (BOM) on export (e.g., sqlite3 .once --bom) to avoid accent issues, and generating real .xlsx files (e.g., with pandas.to_excel) when humans will double-click the file. The article also lists quick checks to run after export (row counts, code endpoints, an accent, a date) and details other common CSV pitfalls.
Practical, actionable guidance for preserving data integrity when exporting SQL results—useful for analytics and measurement teams but not industry-shifting.
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Key Takeaways & Evidence Grounding
- The author tested exports on 2026-08-08 using SQLite 3.51.1 and inspected files byte-by-byte to show exports themselves are correct.
- Opening a CSV by double-clicking in Excel can silently change data types (e.g., drop leading zeros or mis-interpret character encoding), while importing via Data → Get Data → From Text/CSV lets the user set types and encoding.
- Adding a UTF-8 byte order mark (BOM) at file start (sqlite3 .once --bom results.csv) signals encoding to Excel and prevents accented-character corruption.
- Generating a real .xlsx (for example, using pandas.read_sql + df.to_excel with openpyxl) preserves cell types so codes, dates, and accents survive a recipient double-click.
- Recommended checks after export: verify row count, inspect both ends of code columns, check at least one accented value, and check at least one date.
Connected Companies & Entities
“Every byte on this page is real. The exports were run on 8 August 2026 with SQLite 3.51.1 and the files inspected byte by byte, rather than ...”
“Double-click that file and Excel opens it immediately, with no questions.”
“If it was useful: Buy Me a Coffee.”
Ontology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
Audit‑Ready CSV Exports for Local‑First Tools
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