Export Redshift table to CSV using dynamic filename with current date

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

Using Withdata DBToFile, a CSV exporter for Redshift, you can export Redshift data to CSV using dynamic filename with date and time easily.

Using dynamic filename, you can keep the old exported CSV files, avoid overwriting them.

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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. Summary.

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

Export Redshift to CSV using dynamic filename with date and time in command line

Save “Redshift to CSV” session, then you can:

Set scheduled tasks for exporting Redshift to CSV using dynamic filename with date and time

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

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

2) Set scheduled task.


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