Export SQLite table to CSV using dynamic filename with current date

Want to export data from SQLite table to CSV using current date as file name?

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Export data from SQLite table to CSV file using dynamic filename with date and time

Login to SQLite -> Choose SQLite table -> Set CSV filename template including date -> Export SQLite to CSV using current date as file name

Choose SQLite and logon.

export SQLite table to CSV file - Choose SQLite and logon

“Export From Table” for “CSV to SQLite“.

Export data from SQLite Table To CSV using variable filename with date - task window

Select CSV file type.

Export data from SQLite Table To CSV using variable filename with date - select CSV file type

1. Choose SQLite table.

Unload data from SQLite Table To CSV using dynamic filename with date - select table

2. Set CSV file options. Enter filename template, including date, #yyyy# is for current year, #mm# month, #dd# day, #hh# hour, #mi# minute, #ss# second.

Extract data from SQLite Table To CSV using dynamic filename with date - enter file name

3. Set rows options.

Convert data from SQLite Table To CSV using dynamic filename with date - summary

4. Export SQLite table data to CSV file. Dynamically created CSV file name using present system time.

Dump data from SQLite Table To CSV using dynamic filename with date - export

After exporting, you can view output CSV files.

Export data from SQLite Table To CSV using template filename with date - view CSV file


More about SQLite to CSV converter

SQLite → CSV reference

Type mapping

Value kindin SQLitein CSV
IntINTEGER1234
BigintINTEGER9007199254740993
DecimalNUMERIC1234.56
FloatREAL1.234e+10
TextTEXTquoted only when it contains a comma or a quote
Long textTEXTmust be quoted; line breaks inside force multi-line records
DateTEXT2026-09-18
DatetimeTEXT2026-09-18 14:30:00
BinaryBLOBnot representable - base64 or hex string
BooleanINTEGERTRUE / FALSE, or 1 / 0 depending on the writer
JSONTEXTthe whole JSON value quoted, with internal quotes doubled

Dialect differences

SQLite is a database server and CSV is a file format, so the gap is wider than a dialect difference – the rows below are where values and structure stop lining up.

Propertyin SQLitein CSV
port(file-based)—
identifiers"double quotes" or [brackets]Double quotes; a literal quote is doubled ("" )
row limitLIMIT n—
datesTEXT (no date type)Conventional text: 2026-09-18 or 2026-09-18 14:30:00
long textTEXT—
binaryBLOBNot supported
separator—Comma ","
encoding—No declaration - UTF-8 works only with a BOM
typing—None - every field is text
shapeTables of rows and columnsFlat table, optional header row
ceiling—No formal limit; row count bounded by memory

Command line

SideCommand
SQLitesqlite3 .dump
SQLite (load).import (sqlite3)

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