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Learning HBase by Shashwat Shriparv

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HBase housekeeping

As data is being added to HBase, it writes an immutable file to store. Each store is made up of column families, and regions consist of these row-key ordered files as it's immutable. So, there will be more files rather than one on the fly. Due to many files, the I/O will be slower, and hence lag in reading and writing, resulting in slower operation. To overcome these types of problems, HBase uses the compaction methodology; let's look into it now. Refer to the following figure for a better understanding:

HBase housekeeping

Compaction

As the name suggests, compaction makes files more compact and, hence, efficient to read up files. When new data is ...

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