HBase minor & major compactions

本文介绍了HBase中两种文件合并机制:小合并(minor compactions)与大合并(major compactions)。小合并通过合并较小的数据文件减少文件数量;大合并则重新写入区域内的所有列族文件,并能清理已删除的记录及过期数据。

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HBase The Definitive Guide Book

Says:

Since flushing memstores to disk causes more and more HFile's to be created, HBase
has a housekeeping mechanism that merges the files into larger ones using
compactions. There are two types of compaction: minor compactions and major
compactions. The former reduce the number of storage files by rewriting smaller files
into fewer but larger ones, performing an n-way merge. Since all the data is already
sorted in each HFile, that merge is fast and bound only by disk IO performance.
The major compactions rewrite all files within a column family for a region into a
single new one. They also have another distinct feature compared to the minor
compactions: based on the fact that they scan all key/value pairs, they can drop
deleted entries including their deletion marker. Predicate deletes are handled here as
well - for example, removing values that have expired according to the configured
time-to-live or when there are too many versions.

so:

1. minor compactions

reduce the number of storage files by rewriting smaller files into fewer but larger ones, performing an n-way merge.

2. major compactions

rewrite all files within a column family for a region into a
single new one. They also have another distinct feature compared to the minor compactions: based on the fact that they scan all key/value pairs, they can drop deleted entries including their deletion marker. Predicate deletes are handled here as well. time-to-live or when there are too many versions.

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