Update data from TXT (pipe delimited text) file to Redshift

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Want to update data from TXT (“|” pipe delimited text) file to Redshift?

Using File To DB, a native GUI tool for Windows, MacOS, and Linux, you can update data from TXT (“|” pipe delimited text) 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 TXT file(s) to online services.

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Update data from TXT (“|” pipe delimited text) file to Redshift

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

Choose Redshift and logon.

convert PIPE file to Redshift  table - Choose Redshift and logon

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

convert PIPE file to Redshift  table - task window

Select the “TXT” file type.

Import file data to database table - select file type

then show the wizard.

1. Open a source TXT (“|” pipe delimited text) file.

Update Data From TXT File To Redshift  - open TXT file

2. Select a Redshift table and config fields.

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

Update Data From TXT File To Redshift  - select table

3. Preview data.

Update Data From TXT File To Redshift  - preview

4. Update TXT data to Redshift .

Update Data From TXT File To Redshift  - Update data

View updateed data

Copy Data From TXT File To Redshift  - view data

Update TXT 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 TXT data to Redshift

You can schedule and automate this “TXT 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 – PIPE to Redshift converter

TXT → Redshift reference

Type mapping

Value kindin TXTin Redshift
Int1234, or right-aligned in a fixed-width columninteger
Bigint9007199254740993bigint
Decimal1234.56numeric(p,s)
Float1.234e+10double precision
Textwritten as-is; padding depends on the chosen layoutvarchar(n)
Long textwritten as-isvarchar(max)
Datewhatever the writer chosedate
Datetimewhatever the writer chosetimestamp
Binarynot representable(none)
BooleanY / N, or 1 / 0, or TRUE / FALSEboolean
JSONwritten as-issuper

Dialect differences

TXT 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 TXTin Redshift
port—5439
identifiersNone by convention"double quotes"
row limit—LIMIT n
datesWhatever the writer produced; no convention is guaranteedtimestamp, date
long text—VARCHAR(MAX)
binaryNot supported—
separatorWhatever was chosen - often fixed column widths—
encodingNo declaration - UTF-8 works only with a BOM—
typingNone - every field is text—
shapeFree form; a parser has to be told the layoutTables of rows and columns
ceilingNo formal limit—

Command line

SideCommand
RedshiftUNLOAD to S3
Redshift (load)COPY from S3

No counterpart

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

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