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            "Programming Language :: Python :: 3",
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        "description": "Rally\n=====\n\nRally is the macrobenchmarking framework for Elasticsearch\n\nWhat is Rally?\n--------------\n\nYou want to benchmark Elasticsearch? Then Rally is for you. It can help you with the following tasks:\n\n* Setup and teardown of an Elasticsearch cluster for benchmarking\n* Management of benchmark data and specifications even across Elasticsearch versions\n* Running benchmarks and recording results\n* Finding performance problems by attaching so-called telemetry devices\n* Comparing performance results\n\nWe have also put considerable effort in Rally to ensure that benchmarking data are reproducible.\n\nIn general, Rally works with all versions of Elasticsearch starting from 1.x but benchmarking with plugins and benchmarking source builds will only work from Elasticsearch 5.0 onwards.\n\nQuick Start\n-----------\n\nRally is developed for Unix and is actively tested on Linux and MacOS. 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merge throttle time |                      |   1.28193 |    min |\n    |               Median CPU usage |                      |     471.6 |      % |\n    |             Total Young Gen GC |                      |    16.237 |      s |\n    |               Total Old Gen GC |                      |     1.796 |      s |\n    |                     Index size |                      |   2.60124 |     GB |\n    |                  Total written |                      |   11.8144 |     GB |\n    |         Heap used for segments |                      |   14.7326 |     MB |\n    |       Heap used for doc values |                      |  0.115917 |     MB |\n    |            Heap used for terms |                      |   13.3203 |     MB |\n    |            Heap used for norms |                      | 0.0734253 |     MB |\n    |           Heap used for points |                      |    0.5793 |     MB |\n    |    Heap used for stored fields |                      |  0.643608 |     MB |\n    |                  Segment count |                      |        97 |        |\n    |                 Min Throughput |         index-append |   31925.2 | docs/s |\n    |              Median Throughput |         index-append |   39137.5 | docs/s |\n    |                 Max Throughput |         index-append |   39633.6 | docs/s |\n    |      50.0th percentile latency |         index-append |   872.513 |     ms |\n    |      90.0th percentile latency |         index-append |   1457.13 |     ms |\n    |      99.0th percentile latency |         index-append |   1874.89 |     ms |\n    |       100th percentile latency |         index-append |   2711.71 |     ms |\n    | 50.0th percentile service time |         index-append |   872.513 |     ms |\n    | 90.0th percentile service time |         index-append |   1457.13 |     ms |\n    | 99.0th percentile service time |         index-append |   1874.89 |     ms |\n    |  100th percentile service time |         index-append |   2711.71 |     ms |\n    |                           ...  |                  ... |       ... |    ... |\n    |                           ...  |                  ... |       ... |    ... |\n    |                 Min Throughput |     painless_dynamic |   2.53292 |  ops/s |\n    |              Median Throughput |     painless_dynamic |   2.53813 |  ops/s |\n    |                 Max Throughput |     painless_dynamic |   2.54401 |  ops/s |\n    |      50.0th percentile latency |     painless_dynamic |    172208 |     ms |\n    |      90.0th percentile latency |     painless_dynamic |    310401 |     ms |\n    |      99.0th percentile latency |     painless_dynamic |    341341 |     ms |\n    |      99.9th percentile latency |     painless_dynamic |    344404 |     ms |\n    |       100th percentile latency |     painless_dynamic |    344754 |     ms |\n    | 50.0th percentile service time |     painless_dynamic |    393.02 |     ms |\n    | 90.0th percentile service time |     painless_dynamic |   407.579 |     ms |\n    | 99.0th percentile service time |     painless_dynamic |   430.806 |     ms |\n    | 99.9th percentile service time |     painless_dynamic |   457.352 |     ms |\n    |  100th percentile service time |     painless_dynamic |   459.474 |     ms |\n\n    ----------------------------------\n    [INFO] SUCCESS (took 2634 seconds)\n    ----------------------------------\n\n\nGetting help\n------------\n\n* Quick help: ``esrally --help``\n* Look in `Rally's user guide <https://esrally.readthedocs.io/>`_ for more information\n* Ask questions about Rally in the `Rally Discuss forum <https://discuss.elastic.co/c/elasticsearch/rally>`_.\n* File improvements or bug reports in our `Github repo <https://github.com/elastic/rally/issues>`_.\n\nHow to Contribute\n-----------------\n\nSee all details in the `contributor guidelines <https://github.com/elastic/rally/blob/master/CONTRIBUTING.md>`_.\n\nLicense\n-------\n\nThis software is licensed under the Apache License, version 2 (\"ALv2\"), quoted below.\n\nCopyright 2015-2019 Elasticsearch <https://www.elastic.co>\n\nLicensed under the Apache License, Version 2.0 (the \"License\"); you may not\nuse this file except in compliance with the License. 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