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Show HN: Implementing durability for in-memory databases, on SSDs

40 pointsby Emoreabout 14 years ago

3 comments

brgabout 14 years ago
Excellent write up.<p>Instead of only the BTree vs. BTree durable comparison in qps, I think it would be helpful to add plots with the following information:<p>1) Increase in write speed gained from batching. Specifically, in section 3 you mentioned that the constant time overhead was your motivation to design the batching system. In a world of SSD writes, the usefulness of batching comes in to question. To see a gain realized would put this question to rest.<p>2) The effect of batching on the write-time of clients. The write up focuses on reducing the db's workload, which is the correct problem to focus on as that is the bottleneck. But there is a cost on the client which comes waiting on the writes of other concurrent clients. I would assume that your solution actually reduces the overall cost for clients as it reduces the burden of serialization, but it would be interesting to see this data.
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sicularsabout 14 years ago
Great blog post from the perspective of an educated enthusiast feeling their way around and trying to take advantage of new hardware to solve old problems.<p>For those that are interested in the intersection of databases and ssd's take a look at <a href="http://rethinkdb.com/" rel="nofollow">http://rethinkdb.com/</a> . They have been covered here before, <a href="http://news.ycombinator.com/item?id=1235545" rel="nofollow">http://news.ycombinator.com/item?id=1235545</a> .
calebmpetersonabout 14 years ago
A very approachable and enjoyable read. How close to "production quality" is the author's system?