Export Redshift table to CSV using dynamic filename with current date

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

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

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

Choose Redshift and logon.

export Redshift table to CSV file - Choose Redshift and logon

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

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

Select CSV file type.

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

1. Choose Redshift table.

Unload data from Redshift 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 Redshift Table To CSV using dynamic filename with date - enter file name

3. Set rows options.

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

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

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

After exporting, you can view output CSV files.

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


More about Redshift to CSV converter

Redshift → CSV reference

Type mapping

Value kindin Redshiftin CSV
Intinteger1234
Bigintbigint9007199254740993
Decimalnumeric(p,s)1234.56
Floatdouble precision1.234e+10
Textvarchar(n)quoted only when it contains a comma or a quote
Long textvarchar(max)must be quoted; line breaks inside force multi-line records
Datedate2026-09-18
Datetimetimestamp2026-09-18 14:30:00
Binary(none)not representable - base64 or hex string
BooleanbooleanTRUE / FALSE, or 1 / 0 depending on the writer
JSONsuperthe whole JSON value quoted, with internal quotes doubled

Dialect differences

Redshift 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 Redshiftin CSV
port5439—
identifiers"double quotes"Double quotes; a literal quote is doubled ("" )
row limitLIMIT n—
datestimestamp, dateConventional text: 2026-09-18 or 2026-09-18 14:30:00
long textVARCHAR(MAX)—
binary—Not 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
RedshiftUNLOAD to S3
Redshift (load)COPY from S3

No counterpart

  • CSV has no equivalent for Binary – it has to be flattened or dropped.

Redshift to CSV without the manual work

For batch jobs, large files and scheduling use the Redshift to CSV converter — an offline desktop app for Windows, Linux and macOS. Free trial.


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