Scale-Out Big Data Benchmark: ElasticSearch

ElasticSearch is an open source, full text search engine that can be run on a cluster relatively easy. It's basically like an open source version of Google Search that can be deployed in an enterprise. It should be one of the poster children of scale-out software and is one of the representatives of the so called "Big Data" technologies. Thanks to Kirth Lammens, one of the talented researchers at my lab, we have developed a benchmark that searches through all the Wikipedia content (+/- 40GB). Elasticsearch is – like many Big Data technologies – built on Java (we use the 64-bit server version 1.7.0).

Elastic Search

The term "Big data" almost immediately suggests that you need massive machines, more like the new Xeon E7 which supports up to 6 TB. In reality, many big data analyses are running on top of very humble machines in a cluster. ElasticSearch is such an an application: the underlying Java technology does not work well with a larger than 32 GB heap. A total of 64 GB RAM is considered as the sweet spot, to leave some RAM space for filesystem caching. 

The result of the Xeon D is stunning. The Xeon D is no less than 70% faster than the fastest Xeon E3s. Better performance is possible with the Xeon E5, but the price tag of those servers is not comparable to the Xeon D servers. The Xeon D-1540 (and as a result the SYS-5028D-TN4T) is the performance per dollar champ here. 

Web Server Performance Idle Power
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  • JohanAnandtech - Wednesday, June 24, 2015 - link

    Hi Patrick, the base clock of our chip is 2 GHz, not 1.9 GHz as the one pre-production version that we got from Intel. I have to check the turboclocks though, but I do believe we have measured 2.6 GHz. I'll doublecheck.
  • pjkenned - Wednesday, June 24, 2015 - link

    Awesome! Our ES ones were 1.9GHz.
  • Chrisrodinis1 - Tuesday, June 23, 2015 - link

    For comparison, this server uses Xeon's. It is the HP Proliant BL460c G9 blade server: https://www.youtube.com/watch?v=0s_w8JVmvf0
  • MrDiSante - Wednesday, June 24, 2015 - link

    Why use only -O2 when compiling the benchmarks? I would imagine that in order to squeeze out every last bit of performance, all production software is compiled with all optimizations turned up to 11. I noticed that their github uses -O2 as an example - is it that TinyMemBenchmark just doesn't play nice with -O3?
  • JohanAnandtech - Wednesday, June 24, 2015 - link

    The standard makefile had no optimization whatsoever. If you want to measure latency, you do not want maximum performance but rather accuracy, so I played it safe and used -O2. I am not convinced that all production software is optimized with all optimization turned on.
  • diediealldie - Wednesday, June 24, 2015 - link

    Intel seems disARMing them... X-Gene 2 doesn't look so promising, as they'll have to fight mighty Skylake-based Xeons, not Broadwell ones.

    Thanks for great article again.
  • jfallen - Wednesday, June 24, 2015 - link

    Thanks Johan for the great article. I'm a tech enthusiast, and will never buy or use one of these. But it makes great reading and I appreciate the time you take to research and write the article.

    Regards
    Jordan
  • JohanAnandtech - Wednesday, June 24, 2015 - link

    Happy to read this! :-)
  • TomWomack - Wednesday, June 24, 2015 - link

    This looks very much consistent with my experience; the disconcertingly high idle power (I looked at the board with a thermal camera; the hot chips were the gigabit PHY, the inductors for the power supply, and the AST2400 management chip), the surprisingly good memory performance, the fairly hot SoC (running sixteen threads of number-crunching I get a power draw of 83W at the plug) and the generally pretty good computation.

    I'm not entirely sure it was a better buy for my use case than a significantly cheaper 6-core Haswell E - Haswell E is not that hot, electricity not that expensive, and from my supplier the X10SDV-F board and memory were £929 whilst Scan get me an i7-5820K board, CPU and memory for £702. And four-channel DDR4 probably is usefully faster than two-channel for what I do.

    I quite strongly don't believe in server mystique - the outbuilding is big enough that I run out of power before I run out of space for micro-ATX cases, and I am lucky enough to be doing calculations which are self-checking to the point that ECC is a waste of money.
  • JohanAnandtech - Wednesday, June 24, 2015 - link

    Hi Tom, I believe we saw up to 90 Watt at the wall when running OpenFOAM (10 Gbit enabled). It is however less relevant for such a chip which is not meant to be a HPC chip as we have shown in the article. HPC really screams for an E5.

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