testing Archives - ArangoDB

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libgcc: When exceptions collide

02GeneralTags: ,

This is a story of an excursion to the bottom of a deep rabbit hole, where I discovered a foot gun in gcc‘s libgcc. The investigation has cost me several days and I hope that by writing this up I can entertain others and save them the journey.


If a C++ application is compiled with GCC on Linux and statically linked against a non-GLibC C-library (like libmusl), then there is a danger of a data race which leads to a busy loop happening after main() and all static destructors have finished. The race happens, if the application does not use pthread_cancel explicitly and if the very first exception which is thrown in the processes’ life is thrown in two different threads at the same time.
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Performance Impact of Meltdown and Spectre V1 Patches on ArangoDB

01GeneralTags: , ,

To investigate the impact of the Meltdown and Spectre patches on the performance of ArangoDB, we ran benchmark tests with the two storage engines available in ArangoDB (MMFiles & RocksDB). We used the arangobench benchmark and test tool for these tests.

The tests include 10 different test cases with changing test parameters like concurrency, batch requests and asynchronous execution. Read more

The great AQL shootout: ArangoDB 2.5 vs 2.6

00PerformanceTags: , ,

For the ArangoDB 2.6 release from last week we’ve put some performance tests together. The tests will compare the AQL query execution times in 2.5 and 2.6.

The results look quite promising: 2.6 outperformed 2.5 for all tested queries, mostly by factors of 2 to 5. A few dedicated AQL features in the tests got boosted even more, resulting in query execution time reductions of 90 % and more. Finally, the tests also revealed a dedicated case for which 2.6 provides a several hundredfold speedup.

Also good news is that not a single of the test queries ran slower in 2.6 than in 2.5.

More info

Testing: Foxx + Mocha = <3

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Foxx + Mocha

Some of the most frequent questions by new programmers learning Foxx have been about testing. While the HTTP API can easily be tested with any HTTP client and any JavaScript code that can be isolated from the ArangoDB APIs could be tested in similar environments like Node.js or io.js, it was all but impossible to test Foxx apps inside ArangoDB.

The upcoming release of ArangoDB sets out to change this. As of version 2.6, ArangoDB Foxx will come with full support for Mocha tests allowing you to use the same test framework for your frontend code in the browser, your server-side code running on Node.js or io.js, and your backend logic in Foxx. More info

Comparison: Lockless programming with atomics in C++ 11 vs. mutex and RW-locks


ArangoDB is multithreaded and able to use several CPU-cores at once. Because of that access to common data structures to these threads have to be protected from concurrent access. ArangoDB currently uses mutexes, spinlocks and RW-locks for that. With the ongoing development of the MVCC the number of situations where protected access is needed grows significantly. If locking is done too often the scalability is effectively limited to one core. So this test was done to estimate the costs, and evaluate other solutions – so called lockless programming with atomics.

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ArangoDB 2.3 Beta 2 is available for testing

00General, ReleasesTags:

This version is deprecated. Download the new version of ArangoDB

A new beta release is available for testing.

Please note that there are issues with the keys generated by the OBS. We will sort this out as fast as possible. Currently you simple have to trust the keys during install.

This beta release contains various fixes which were found during testing beta1.

Setting Up Test Data


Today I was asked to look at code that was supposed to read data from a MySQL data source, process it and then import it into ArangoDB.

To run and debug the code I had to have some MySQL data source. So I thought I’d quickly set up a simple example table with a few rows. It turned out that this took more time than what I had expected.

Maybe I’m spoilt by JavaScript-enabled, schema-free databases where creating such test setups is so much easier.

Read more on Jan’s Blog

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