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This article introduces the relevant knowledge of "what are the hbase application scenarios?". In the operation of actual cases, many people will encounter such a dilemma. Then let the editor lead you to learn how to deal with these situations. I hope you can read it carefully and be able to achieve something!

1 storing large amounts of data (100s of TBs)

Store a large amount of data (100s TB level data)

2 need high write throughput

High write throughput is required

3 need efficient random access (key lookups) within large data sets

High-performance random access in large datasets (by column)

4 need to scale gracefully with data

Elegant data expansion is required

5 for structured and semi-strured data

Structured and semi-structured data

6 don't need full RDFS capabilites (cross row/cross table transactions,joins etc.)

Do not require all relational database features, such as crosstab, crosstab, transaction, join, etc.

Use the scene:

(1) scenarios in which the amount of instant writing is very large, the database is not easy to support or requires high cost support.

(2) the data needs to be preserved for a long time, and the amount will grow to larger scenarios.

3 hbase is not suitable for data models with complex join, multi-level indexes and table relationships.

4. It is very important to design rowkey reasonably.

5 data is preferably recoverable

6 the number of split,region closed in the production environment should not be too high.

Netizens' answer: the application scenario of hbase

"hbase, we use it as a webPage DB to store a large number of raw web pages.

It is also used as an information storage platform to extract information from web pages. The rest seems to be gone. If you feel anything else, hdfs will be satisfied. "

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