I have a flat file with an unfortunately dynamic column structure. There is a value that is in a hierarchy of values, and each tier in the hierarchy gets its own column. For example, my flat file might resemble this:
StatisticID|FileId|Tier0ObjectId|Tier1ObjectId|Tier2ObjectId|Tier3ObjectId|Status
1234|7890|abcd|efgh|ijkl|mnop|Pending
...
The same feed the next day may resemble this:
StatisticID|FileId|Tier0ObjectId|Tier1ObjectId|Tier2ObjectId|Status
1234|7890|abcd|efgh|ijkl|Complete
...
The thing is, I don't care much about all the tiers; I only care about the id of the last (bottom) tier, and all the other row data that is not a part of the tier columns. I need normalize the feed to something resembling this to inject into a relational database:
StatisticID|FileId|ObjectId|Status
1234|7890|ijkl|Complete
...
What would be an efficient, easy-to-read mechanism for determining the last tier object id, and organizing the data as described? Every attempt I've made feels kludgy to me.
Some things I've done:
- I have tried to examine the column names for regular expression patterns, identify the columns that are tiered, order them by name descending, and select the first record... but I lose the ordinal column number this way, so that didn't look good.
- I have placed the columns I want into an
IDictionary<string, int>
object to reference, but again reliably collecting the ordinal of the dynamic columns is an issue, and it seems this would be rather non-performant.