Extract stats per user from database #1

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opened 2025-04-30 11:15:57 +00:00 by raucao · 0 comments
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The data should contain the following columns:

Key Value
User id This should be randomly generated. However, we have to be able to link different records from a user to each other.
Date We go for a granularity of one day. This is fine-grained enough for our simulation but should be coarse enough so that we can’t identify single payments.
Balance start of day The user balance at the start of day
Balance end of day The user balance at the end of day
Balance max day The maximum balance of that user throughout the day
Balance min day The minimum balance of that user throughout the day
Total flow out The total amount that has been paid by the user during that day
Total flow in The total amount that has been been received by the user during that day
The data should contain the following columns: | Key | Value | | - | - | | User id | This should be randomly generated. However, we have to be able to link different records from a user to each other.| | Date | We go for a granularity of one day. This is fine-grained enough for our simulation but should be coarse enough so that we can’t identify single payments. | | Balance start of day | The user balance at the start of day | | Balance end of day | The user balance at the end of day | | Balance max day | The maximum balance of that user throughout the day | | Balance min day | The minimum balance of that user throughout the day | | Total flow out | The total amount that has been paid by the user during that day | | Total flow in | The total amount that has been been received by the user during that day |
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Reference: raucao/lndhub.go-stats#1
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