[KYLIN-5640] Support to automatically adjust the Bloom Filter based on data distribution

• Type: Improvement
• Status: Resolved
• Priority: Major
• Resolution: Fixed
• Affects Version/s: 5.0-alpha
• Fix Version/s: 5.0-beta
• Component/s: Query Engine
• Assignee: Zhiting Guo
• Reporter: Zhiting Guo
• Created: 18/Jul/23 01:34
• Updated: 23/Aug/23 08:09
• Resolved: 23/Aug/23 08:09

Description

Why are the changes needed?

Now the usage of bloom filter is to specify the NDV(number of distinct values), and then build BloomFilter. In general scenarios, it is actually not sure how much the distinct value is.
If BloomFilter can be automatically generated according to the data, the file size can be reduced and the reading efficiency can also be improved.

What changes were proposed in this pull request?

DynamicBlockBloomFilter contains multiple BlockSplitBloomFilter as candidates and inserts values in the candidates at the same time. Use the largest bloom filter as an approximate deduplication counter, and then remove incapable bloom filter candidates during data insertion.