The whole point of the filter is to both improve read performance and also to reduce storage and maintenance costs.
#Pre conceived notion definition how to
How to Overcome the Filtered Index UnMatchedIndexes IssueĪ filtered index isn't always possible.How Forced Parameterization Affects Filtered Indexes.An Unexpected Side-Effect of Adding a Filtered Index.What You Can (and Can't) Do With Filtered Indexes.Optimizer Limitations with Filtered Indexes.How filtered indexes could be a more powerful feature.They can definitely be a great solution in the right use case, but many of us have talked about some of their known and lesser-known weaknesses:
This discussion ultimately came about because, just the week before, we did solve a couple of other nagging internal problems with filtered indexes. Just not for the original reasons I thought they wouldn't be an option at all. Since most queries ask for both types, and that's practically the whole table, any index with a filter would not really be any better than the same index without one. Unfortunately, the data skew in the Posts table is almost 100% Questions and Answers: For a filtered index to be worthwhile, it has to be relatively narrow and it has to eliminate a lot of rows. Not confusing or inconsistent at all.Īnyway, it was all for naught. At least if PostTypeId is the leading key if not, that falls apart.
WHERE PostTypeId >= 1 AND PostTypeId = 1 AND PostTypeId = 1 AND PostTypeId <= 2.
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