Filtering changing examples
i got a data set with about 200000 rows und i want to use a specific filter.
Row1 Old Name1
Row2 New Name1
Row3 Old Name2
Row4 New Name2
Row5 Old Name1
Row6 New Name3
Row7 Old Name3
Row8 New Name3
A filter operator (or an other) shall filter by "Name1". If this Name changes (here: to "Name3" in Row6) the filter should filter by "Name3" and so on. Finally i wanna have all the rows (In this case: Row 1,2,5,6,7 and 8). In the end the whole data set should be grouped.
Anybody an idea? Thank you so much.
Aggregate operator seems to be the closest to the task you need to accomplish.
Though I didn't quite understand how exactly your output should like at the end?
thanks for your reply.
I got some tools in my data set where each has a specific "name" (notation). But over time the name changes (in this example: "Name1" to "Name3"). In the end i wanna have all the names (notations) the specific tool have ever had till this day. My data set is full of different tools with changing names. The data set schould be grouped by tools. In the upper example there would be two groups (First: Row1,2,5,6,7,8 ; Second: Row3,4).
I hope you can understand.
It sounds like Aggregate should do the job. You may need to use "Lag" first to detect when the name changes and then generate a flag for that, and then use that along with the name.
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