How to export from sql server table to multiple csv files in Azure Data Factory
You would need to follow the below flow chart:
- LookUp Activity : Query : Select distinct city from table
- For each activity
Input :@activity('LookUp').output.value
a) Copy activity
i) Source : Dynamic Query Select * from t1 where city=@item().City
This should generate separate files for each country as needed
Steps:
1)
The batch job can be any nbr of parallel executions
- Create a parameterised dataset:
5)
Result: I have 2 different Entities, so 2 files are generated.
Input :
Output:
Inserting huge batch of data from multiple csv files into distinct tables with Postgresql
If you use DBeaver, there is a recently-added feature in the software which fixes this exact issue. (On Windows) You have to right click the section "Tables" inside your schemas (not your target table!) and then just select "Import data" and you can select all the .csv files you want at the same time, creating a new table for each file as you mentioned.
Related Topics
How to Sort Values in Columns and Update Table
Insert into Table from Comma Separated Varchar-List
Differences Between "Foreign Key" and "Constraint Foreign Key"
Entity Framework Hitting 2100 Parameter Limit
Postgresql With-Delete "Relation Does Not Exists"
SQL Server as Statement Aliased Column Within Where Statement
Does Limiting a Query to One Record Improve Performance
How to Alter a Table for Identity Specification Is Identity SQL Server
Show Create Table Tablename in SQL Server
Exporting SQL Server Table to Multiple Part Files
Calculate Exact Date Difference in Years Using SQL
Oracle 10: Using Hextoraw to Fill in Blob Data
Spark Dataframe Groupping Does Not Count Nulls
How to Mark Certain Nr of Rows in Table on Concurrent Access