Withdata Software

Import data from XML files to Redshift tables at one time

Want to bulk import XML files into Redshift tables at one time?

Using Withdata software File To DB, a XML to Redshift converter for Redshift for Windows, MacOS, and Linux, you can bulk import XML files into Redshift tables in one go.

Download FileToDB
Windows 64 bit
Windows 32 bit
Linux .deb (For Debian, Ubuntu) 64 bit
Linux .rpm (For Red Hat, Fedora, SUSE) 64 bit
MacOS 64 bit

Bulk import XML files into Redshift tables

Login to Redshift -> Choose XML files -> Set Redshift tables -> Import XML files to Redshift tables

Choose Redshift and logon.

Click “Wizard – N Files To N Tables” at task dialog.

Select the “XML” file type.

then show the wizard.

1. Select a folder that constains XML files.

2. Config first XML file importing options.

3. Set “Import Type”.

4. Map Redshift tables to XML files.

5. Summary. Set “Convert Rows” and “Skip Rows” if need.

6. Import XML files to Redshift tables, 1 file to 1 table, one by one.

View imported data in Redshift table

Bulk import XML files into Redshift tables in command line

Save “bulk XML files to Redshift tables” session, then you can:

Set scheduled tasks for bulk importing XML files into Redshift tables

You can schedule and automate this converting task by:

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

2) Set scheduled task.

FAQ

How long does it take to import XML data to Redshift?
FileToDB works fast. It convert millions of rows within a minute.
Is it safe to import XML data to Redshift using FileToDB?
Of course! FileToDB import XML data to Redshift locally, absolutely safe.
Can I import XML data to Redshift on Linux, Mac OS?
Yes, you can. FileToDB has Linux, Mac OS, and Windows version.
Can I import XML data to Redshift in command line?
Yes, you can. FileToDB can running in command line, on Linux, Mac OS, and Windows.


More about FileToDB – XML to Redshift converter

XML → Redshift reference

Type mapping

Value kindin XMLin Redshift
Int<int>1234</int>integer
Bigint<bigint>9007199254740993</bigint>bigint
Decimal<decimal>1234.56</decimal>numeric(p,s)
Float<float>1.234e10</float>double precision
Text<char>text</char>varchar(n)
Long text<text>multi-line text</text> (entities for &amp; &lt;)varchar(max)
Date<date>2026-09-18</date> (xs:date with an XSD)date
Datetime<datetime>2026-09-18T14:30:00Z</datetime> (xs:dateTime)timestamp
Binary<blob>base64...</blob> (xs:base64Binary)(none)
Boolean<bool>true</bool>boolean
JSONescaped inside an element, or its own sub-treesuper

Dialect differences

XML 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 XMLin Redshift
port—5439
identifiersAttribute values in quotes; entities (&amp; &lt; &gt;) for ..."double quotes"
row limit—LIMIT n
datesText (xs:date / xs:dateTime when an XSD is in play)timestamp, date
long text—VARCHAR(MAX)
binarybase64Binary / hexBinary inside text—
separatorTags, not delimiters—
encodingDeclared in the XML declaration—
typingNone in the markup itself—
shapeArbitrary treeTables of rows and columns
ceilingWhole document is usually parsed into memory—

Command line

SideCommand
RedshiftUNLOAD to S3
Redshift (load)COPY from S3

No counterpart

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

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