Why HBase data query is fast?

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HBase is a distributed storage database of the KeyValue type. Data in an HBase table is sorted in alphabetic order based on RowKeys. If you query data based on a specified RowKey or if you scan data in the scale of a specified RowKey, HBase can quickly locate the data that needs to be read.

Other related questions:
What is the principle for HBase data query?
HBase is a distributed storage database of the KeyValue type. Data in an HBase table is sorted in alphabetic order based on RowKeys. If you query data based on a specified RowKey or if you scan data in the scale of a specified RowKey, HBase can quickly locate the data that needs to be read.

Reasons for a quicker data query speed of HBase
HBase is a distributed storage database of the KeyValue type. Data in an HBase table is sorted in alphabetic order based on RowKeys. If you query data based on a specified RowKey or if you scan data in the scale of a specified RowKey, HBase can quickly locate the data that needs to be read.

Data levels that can be stored in HBase
HBase delivers optimal performance when processing data less than 100 KB but can generally handle data smaller than 10 MB. Data exceeding 100 KB, or even reaching 10 MB, will cause remarkably decreased performance. Inserting the same number of data files generates a large amount of data, causing frequent compaction and split operations that occupy massive CPU resources.

What data can be stored in HBase?
HBase delivers optimal performance when processing data less than 100 KB but can generally handle data smaller than 10 MB. Data exceeding 100 KB, or even reaching 10 MB, will cause remarkably decreased performance. Inserting the same number of data files generates a large amount of data, causing frequent compaction and split operations that occupy massive CPU resources.

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