Export Redshift query to SQL using dynamic filename with current date

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

Using DBToFile, a SQL exporter for Redshift, 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 Redshift  query result to SQL using variable filename with date - Choose Redshift and logon

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

Export data from Redshift  query result To SQL using variable filename with date - task window

Select SQL file type.

Export Query Results from Redshift  To SQL using dynamic filename with date - select SQL file type

1. Enter Redshift SQL query.

Unload data from Redshift  Query ResultSet To SQL using dynamic filename with date - enter query clause

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.

Extract data from Redshift  Query Results To SQL using dynamic filename with date - enter file name

3. Summary.

Convert data from Redshift  Query ResultSet To SQL using dynamic filename with date - summary

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

Dump data from Redshift  SQL Query To SQL using dynamic filename with date - export

After exporting, you can view output SQL files.

Export data from Redshift  Query Results To SQL using dynamic filename with date - view SQL file

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.

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