NoSQL DB性能测试

Question

让我们假设你有一个NoSQL数据库 - Redis，Cassandra，MongoDB。并且您需要检查此数据库的整体性能 - 各种平台，操作系统，甚至用于测试的编程语言。它没有与特定应用程序或模式相关联。

• 你想要看到什么考试？你能帮我解决要求吗？
  • 数据库如何在群集中运行？ 在破碎的群集中？ 在云env中的
  • 当10k连接打开时，它如何执行查询？
  • 您将使用哪些工具？
    • 是jmeter-> http服务器 - >数据库的东西吗？
    • jmeter-> tcp app->数据库？
    • 其他？

      我发现关于数据库性能测试的所有材料都是测试数据库作为某些产品的一部分（具体方案，特定的ENV）。 您是否考虑过数据库性能测试，当数据库是产品本身时？

      期待您的帮助。

      -vova

Answer 1

In NoSQL benchmarks and performance evaluations I've put together a list of the benchmarks that are correct in the sense that they clearly define the purpose of the benchmark and compare similar features (apples-to-apples comparisons); there are way too many benchmarks out there that are failing at at least one of these fundamental requirements of a benchmark. Going through those you'll be able to extract the bits that are interesting for your own benchmark plus learn what tools have been used and get some benchmarking code too.

So far the most generic NoSQL benchmark is YCSB (Yahoo Cloud Servicing Benchmark). Recently the Cubrid blog posted the results of running this benchmark against some of the most popular NoSQL solutions and that might give you an idea of how to interpret results.

Answer 2

• check the overall performance for this database

Unless you need to do it for fun, or you just want to get a benchmark for the sake of getting a benchmark, I would recommend to tailor a performance benchmark to the actual problem/requirements.

For example do you really need crazy fast writes? Are you ok with losing data? Do you mind spending time on configuring fail over? Do you plan to scale up or out? Are you planning for TBs of data? etc..

From the examples you gave => Redis, Cassandra and MongoDB are quite different:

Redis is mostly cache, and it is really fast, but being just a cache it would not help you much in doing medium complexity aggregation. However it is currently the best cache (my opinion) out there. "Redis + a killer DB" is an ideal combination. It also has a built in benchmark tool you can try.

Cassandra is a solid product modelled after Google Big Table (but I am sure you already know that). It scale writes well if you have lots of nodes, but if you reach TBs of data for example, it can take days to add nodes. It is also not a simplest one to get. But if you are ok to pay, there are excellent guys from Datastax who can take all the complexity away. I have a very simple Cassandra Bombardier that may help you to start off.

MongoDB is a great DB for multiple reasons: very sexy and simple query language, good documentation, huge community, etc.. Not so great in other aspects: need to spend time sharding it correctly, and then resharding it again [compare to e.g. Riak, where it is done automatically]. It is very fast (writes) if the data [not just the index] fits in RAM, it starts slow down very quickly if it does not. There is a ongoing speculation that you may lose data (from one of the Basho engineers: "I had personally spent some time finding out ways to demonstrate that MongoDB will lose writes in the face of failure"), aggregation queries may take a while given a not so large dataset. I have a Mongo Performance Playground that you may find useful.