Update data from CSV file to Redshift without programming

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Want to update data from CSV file to Redshift?

Using File To DB, a native GUI tool for Windows, MacOS, and Linux, you can update data from CSV file to Redshift easily and fast.

  • Can run in GUI mode, Step by Step, just a few mouse clicks.
  • Can run in Command line, for Scheduled Tasks and Streams.
  • Convert locally and securely, avoid uploading large or private CSV file(s) to online services.

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Update data from CSV file to Redshift

Login to Redshift -> Choose CSV file -> Set Redshift table -> Update CSV to Redshift

Choose Redshift and logon.

convert CSV file to Redshift  table - Choose Redshift and logon

Click “Wizard – 1 File To 1 Table” at task dialog.

convert CSV file to Redshift  table - task window

Select the “CSV” file type.

Import file data to database table - select file type

then show the wizard.

1. Open a source CSV file.

Update Data From CSV File To Redshift  - open CSV file

2. Select a Redshift table and config fields.

Set “Load Type” to “Update”, choice “By Key”.

Update Data From CSV File To Redshift  - select table

3. Preview data.

Update Data From CSV File To Redshift  - preview

4. Update CSV data to Redshift .

Update Data From CSV File To Redshift  - Update data

View updateed data

Copy Data From CSV File To Redshift  - view data

Update CSV data to Redshift in command line

Save session, and then create .bat file for Windows command line, or .sh file for Linux / macOS.

Set scheduled tasks for updating CSV data to Redshift

You can schedule and automate this “CSV to Redshift” conversion task by:

1) Save session and create .bat (Windows) or .sh (Linux/macOS) file.

2) Set scheduled task.

FAQ


More about FileToDB – CSV to Redshift converter

CSV → Redshift reference

Type mapping

Value kindin CSVin Redshift
Int1234integer
Bigint9007199254740993bigint
Decimal1234.56numeric(p,s)
Float1.234e+10double precision
Textquoted only when it contains a comma or a quotevarchar(n)
Long textmust be quoted; line breaks inside force multi-line recordsvarchar(max)
Date2026-09-18date
Datetime2026-09-18 14:30:00timestamp
Binarynot representable - base64 or hex string(none)
BooleanTRUE / FALSE, or 1 / 0 depending on the writerboolean
JSONthe whole JSON value quoted, with internal quotes doubledsuper

Dialect differences

CSV is a file format and Redshift is a database server, so the target has to be told the types the file never carried - the rows below are where the two sides diverge.

Propertyin CSVin Redshift
port—5439
identifiersDouble quotes; a literal quote is doubled ("" )"double quotes"
row limit—LIMIT n
datesConventional text: 2026-09-18 or 2026-09-18 14:30:00timestamp, date
long text—VARCHAR(MAX)
binaryNot supported—
separatorComma ","—
encodingNo declaration - UTF-8 works only with a BOM—
typingNone - every field is text—
shapeFlat table, optional header rowTables of rows and columns
ceilingNo formal limit; row count bounded by memory—

Command line

SideCommand
RedshiftUNLOAD to S3
Redshift (load)COPY from S3

No counterpart

  • CSV values of kind Binary have nowhere to go in Redshift.

Convert your data online, free

Free in-browser converters for CSV, Excel, JSON, XML and SQL: Withdata Online Data Conversion. Large files, batch conversion or scheduling? See the offline desktop apps, or browse all data conversion tools.