When should I consider using a in memory database and what are the issue to look out for?

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一整个雨季
一整个雨季 2021-02-05 03:58

I was just think that now it is common to have enough RAM on your database server to cache your complete database why are the specialist in memory database (e

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  •  -上瘾入骨i
    2021-02-05 04:36

    Well, in-memory databases generally lack the D (durability) in ACID (atomicity, consistency, isolation, durability) by their very nature. This can be overcome to an extent with "hybrid" approaches, however, at some point something (either the data itself, or a transaction log) has to be persisted somewhere to provide the durability aspect. This can generally slow down performance or introduce other non-desirable properties to an in-memory database solution

    In contrast, most of todays RDBMS's have the full complement of ACID, as well as having many decades of development behind them. This has resulted in disk-based database systems that are very performant, especially with the many years of improvements and optimisations that modern day RDBMS system have seen (your BTree example being just one of many).

    Another factor is our ability as application developers to reduce the load on the database by such mechanisms as caching, thereby squeezing much more perceived performance from the data layer of an application. Indeed, caching itself has seen extensive developments in recent years with distributed caching being common nowadays (just look at the number of users of memcached, for example).

    Ironically, the modern day caching systems are, in many ways, slowly transmogrifying into something akin to a true in-memory database system. In-memory databases, like object-oriented databases, are very much the "new kids on the block", so it will be interesting to see where all of this goes in time. Oracle has now acquired TimesTen, and, according to this wikipedia article, Microsoft are looking at getting into the in-memory database market quite soon. That's two modern day "big players" in the traditional RDBMS field that are taking in-memory database systems seriously.

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