Now I have data, like
CSVs = "[email protected],[email protected],[email protected],[email protected],[email protected],[email protected]"
apply parse_csv(), then get
| data |
| ["[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]"] |
How can I simply filter the data to get
| XXX.com | YYY.com | ZZZ.com |
|-----------------------|----------------|----------|
| ["AAA", "CCC", "FFF"] | ["BBB", "EEE"] | ["DDD"] |
Key is not how to transform data ([email protected] -> AAA), but how to split date for each type (XXX.com, YYY.com, ZZZ.com).
This could work, though not too efficiently.
Consider adjusting how you consume the data, in terms of output schema, so that you'd be able to remove the last 2 rows:
print input = "[email protected],[email protected],[email protected],[email protected],[email protected],[email protected]"
| mv-apply address = split(input, ",") on (
parse address with name "@" domain
| summarize make_list(name) by domain
)
| summarize b = make_bag(pack(domain, list_name))
| evaluate bag_unpack(b)
XXX.com | YYY.com | ZZZ.com |
---|---|---|
[ "AAA", "CCC", "FFF" ] |
[ "BBB", "EEE" ] |
[ "DDD" ] |