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Export Redshift query to SQL using dynamic filename with current date

Want to export data from Redshift query result to SQL using current date as file name?

Using DB To File, a SQL exporter for Redshift on Windows, MacOS, and Linux, you can export Redshift query result to SQL using dynamic filename with date and time easily.

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Export Redshift query result to SQL file using dynamic filename with date and time

Login to Redshift -> Enter Redshift SQL statement -> Set SQL filename template including date -> Export Redshift query to SQL using current date as file name

Choose Redshift and logon.

“Export From Query” for “SQL to Redshift“.

Select SQL file type.

1. Enter Redshift SQL query.

2. Set SQL file options. Enter filename template, including date, #yyyy# is for current year, #mm# month, #dd# day, #hh# hour, #mi# minute, #ss# second.

3. Summary.

4. Export Redshift query results to SQL file. Dynamically created SQL file name using present system time.

After exporting, you can view output SQL files.

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

Save “Redshift query to SQL” session, then you can:

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

Periodic export, keep the old exported SQL files, avoid overwriting them.

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

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

FAQ

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


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