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  1. Core Server
  2. SERVER-12878

Aggregations that do not return cursors need to clean up internal cursors

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    • Type: Icon: Bug Bug
    • Resolution: Done
    • Priority: Icon: Major - P3 Major - P3
    • 2.6.0-rc1
    • Affects Version/s: 2.6.0-rc0
    • Component/s: Performance
    • Environment:
      Ubuntu 13.10
    • Fully Compatible
    • Linux
    • Hide
      • start a mongodb 2.4.9 or 2.6.0.rc0 server
      • on the same server,
        • git clone https://github.com/tmcallaghan/sysbench-mongodb.git
        • cd sysbench-mongodb
        • edit run.simple.bash to modify the benchmark behavior
          • modify "export NUM_DOCUMENTS_PER_COLLECTION=10000000", by changing 10 million to "1000000". This will keep the loaded data to under 8GB.
        • Note, you must have ant and Java 1.7 installed to run the benchmark application. If using Java 1.6, change the build.xml file's target="1.7" to target="1.6". You also need to have the MongoDB Java driver in your CLASSPATH, as in "export CLASSPATH=/home/tcallaghan/java_goodies/mongo-2.11.2.jar:.".
        • ./run.simple.bash

      The benchmark runs in two stages:
      1. 16 collections are created, and each is loaded with 1 million documents. Eight loader threads run simultaneously, each with their own collection.
      2. 64 threads run the Sysbench workload

      Both stages output their respective performance.

      • I'm getting around 30K inserts per second for the loader.
      • For the mixed workload I'm getting 550 TPS on 2.4.9, but less than 10 TPS on 2.6.0.rc0
      Show
      start a mongodb 2.4.9 or 2.6.0.rc0 server on the same server, git clone https://github.com/tmcallaghan/sysbench-mongodb.git cd sysbench-mongodb edit run.simple.bash to modify the benchmark behavior modify "export NUM_DOCUMENTS_PER_COLLECTION=10000000", by changing 10 million to "1000000". This will keep the loaded data to under 8GB. Note, you must have ant and Java 1.7 installed to run the benchmark application. If using Java 1.6, change the build.xml file's target="1.7" to target="1.6". You also need to have the MongoDB Java driver in your CLASSPATH, as in "export CLASSPATH=/home/tcallaghan/java_goodies/mongo-2.11.2.jar:.". ./run.simple.bash The benchmark runs in two stages: 1. 16 collections are created, and each is loaded with 1 million documents. Eight loader threads run simultaneously, each with their own collection. 2. 64 threads run the Sysbench workload Both stages output their respective performance. I'm getting around 30K inserts per second for the loader. For the mixed workload I'm getting 550 TPS on 2.4.9, but less than 10 TPS on 2.6.0.rc0

      Aggregation commands that do not return a cursor need to release the ClientCursor object that they create to do their work. As of 2.6.0-rc0, they do not. This leads to increasing workload for every update and delete operation, as they must scan those zombie cursors and inform them of certain relevant events.

      Original description / steps to reproduce:

      In running benchmarks to compare the performance of 2.4.9 vs. 2.6.0.rc0 I see a significant drop in my Sysbench workload.

      The performance of both versions is comparable for loading data (insert only), but in the mixed workload phase (reads, aggregation, update, delete, insert) the performance of 2.6.0.rc0 is 50x lower on an in-memory test. The performance drop is similar for > RAM testing as well.

      I have confirmed this on my desktop (single Corei7) and a server (dual Xeon 5560), both running Ubuntu 13.10, with read-ahead set to 32.

      I'm running with the Java driver version 2.11.2

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            Assignee:
            mathias@mongodb.com Mathias Stearn
            Reporter:
            tmcallaghan Tim Callaghan
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              Created:
              Updated:
              Resolved: