Elliott Clark created HBASE-7842:
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Summary: Add compaction policy that explores more storefile groups
Key: HBASE-7842
URL: https://issues.apache.org/jira/browse/HBASE-7842
Project: HBase
Issue Type: New Feature
Components: Compaction
Affects Versions: 0.96.0
Reporter: Elliott Clark
Assignee: Elliott Clark
Some workloads that are not as stable can have compactions that are too large
or too small using the current storefile selection algorithm.
Currently:
* Find the first file that Size(fi) <= Sum(0, i-1, FileSize(fx))
* Ensure that there are the min number of files (if there aren't then bail out)
* If there are too many files keep the larger ones.
I would propose something like:
* Find all sets of storefiles where every file satisfies
** FileSize(fi) <= Sum(0, i-1, FileSize(fx))
** Num files in set =< max
** Num Files in set >= min
* Then pick the set of files that maximizes ((# storefiles in set) /
Sum(FileSize(fx)))
The thinking is that the above algorithm is pretty easy reason about, all files
satisfy the ratio, and should rewrite the least amount of data to get the
biggest impact in seeks.
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