74 lines
2.2 KiB
ReStructuredText
74 lines
2.2 KiB
ReStructuredText
Oslo.messaging simulator report
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-------------------------------
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This report contains results of `message_queue_performance`_ execution
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with `Oslo.messaging Simulator`_ with Kafka driver.
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Test Case: Notification Throughput Test
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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Message processing
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~~~~~~~~~~~~~~~~~~
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Messages are collected at 2 points: ``sent`` - messages sent by the client
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and ``received`` - messages received by the server. Also the number of lost
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messages is calculated. Sizes of messages is based on the distribution of
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messages collected on the 100-node cloud.
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{{'''
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title: NOTIFY Message count
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axes:
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x: threads
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y: sent, msg
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y2: received, msg
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y3: lost, msg
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chart: line
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pipeline:
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- { $match: { task: omsimulator, mode: notify }}
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- { $group: { _id: { threads: { $multiply: [ "$threads", "$host_count", "$processes" ] } },
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sent: { $sum: "$client.count" },
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received: { $sum: "$server.count" },
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lost: { $sum: { $subtract: ["$client.count", "$server.count"] }}
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}}
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- { $project: { x: "$_id.threads",
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y: "$sent",
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y2: "$received",
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y3: "$lost"
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}}
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- { $sort: { x: 1 }}
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''' | chart_and_table
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}}
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The throughput and latency
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~~~~~~~~~~~~~~~~~~~~~~~~~~
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The chart shows the throughput and latency depending on number of concurrent threads.
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{{'''
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title: NOTIFY throughput and latency depending on thread count
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axes:
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x: threads
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y: throughput, msg/sec
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y3: latency, ms
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chart: line
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pipeline:
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- $match: { task: omsimulator, mode: notify }
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- $group:
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_id: { threads: { $multiply: [ "$threads", "$host_count", "$processes" ] } }
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throughput: { $sum: { $divide: ["$client.count", "$client.duration"] }}
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latency: { $avg: "$server.latency" }
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- $project:
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x: "$_id.threads"
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y: "$throughput"
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y3: { $multiply: [ "$latency", 1000 ] }
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''' | chart_and_table
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}}
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.. references:
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.. _message_queue_performance: http://docs.openstack.org/developer/performance-docs/test_plans/mq/plan.html
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.. _Oslo.messaging Simulator: https://github.com/openstack/oslo.messaging/blob/master/tools/simulator.py
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