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Data Pipeline
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Examples
Basic Input/Output
1
Compile and run a job
2
Continue after an error
3
Debug my code
4
Handle exceptions
5
Measure data being read and written
6
Obtain statistics
7
Open and close several data readers and data writers at once
8
Read a CSV file
9
Read a fixed-width file (or fixed-length record [FLR] file)
10
Read from a database
11
Read from an excel file
12
Read from memory
13
Search for a record
14
Throttle data being read
15
Throttle data being written
16
Use multi threading in a single job
17
Write a CSV file to database1
18
Write a CSV file to database2
19
Write a CSV file to fixed width
20
Write to memory
21
Write to several data writers at once
22
Write to the console
Data Manipulation
1
Cache lookup values
2
Copy a field
3
Filter records
4
Find the minimum maximum average sum count
5
Lookup data in a database
6
Lookup data in any data reader
7
Manipulate fields
8
Remove duplicates
9
Remove fields
10
Rename a field
11
Select and arrange fields
12
Set a calculated field at runtime
13
Set a calculated field programmatically
14
Set a field
15
Sort records
16
Specify lookup values programmatically
17
Validate incoming data
Customization
1
Add my own functions
2
My data reader
3
My data writer
4
My filter
5
My lookup
6
My proxy reader
7
My proxy writer
8
My transformer
9
Write my own data reader
10
Write my own data writer
11
Write my own filter or validator
12
Write my own lookup
13
Write my own transformer
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