2014-07-23 16:24:32 +00:00
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Benchmarks
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======================
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2014-12-22 07:06:42 +00:00
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Do we really need the benchmark? People always use benchmark to compare systems.
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But benchmarks are misleading. The resources, e.g., CPU, disk, memory, network,
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all matter a lot. And with Seaweed File System, single node vs multiple nodes,
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benchmarking on one machine vs several multiple machines, all matter a lot.
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2014-07-23 16:24:32 +00:00
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Here is the steps on how to run benchmark if you really need some numbers.
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Unscientific Single machine benchmarking
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##################################################
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I start weed servers in one console for simplicity. Better run servers on different consoles.
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For more realistic tests, please start them on different machines.
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.. code-block:: bash
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# prepare directories
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mkdir 3 4 5
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# start 3 servers
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./weed server -dir=./3 -master.port=9333 -volume.port=8083 &
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./weed volume -dir=./4 -port=8084 &
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./weed volume -dir=./5 -port=8085 &
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./weed benchmark -server=localhost:9333
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What does the test do?
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#############################
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2014-12-22 07:06:42 +00:00
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By default, the benchmark command would start writing 1 million files, each having 1KB size, uncompressed.
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For each file, one request is sent to assign a file key, and a second request is sent to post the file to the volume server.
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The written file keys are stored in a temp file.
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2014-07-23 16:24:32 +00:00
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2014-12-22 07:06:42 +00:00
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Then the benchmark command would read the list of file keys, randomly read 1 million files.
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For each volume, the volume id is cached, so there is several request to lookup the volume id,
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and all the rest requests are to get the file content.
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2014-07-23 16:24:32 +00:00
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Many options are options are configurable. Please check the help content:
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.. code-block:: bash
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./weed benchmark -h
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2014-12-22 07:06:42 +00:00
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Different Benchmark Target
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2014-07-23 16:24:32 +00:00
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###############################
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2014-12-22 07:06:42 +00:00
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The default "weed benchmark" uses 1 million 1KB file. This is to stress the number of files per second.
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Increasing the file size to 100KB or more can show much larger number of IO throughput in KB/second.
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2014-07-23 16:24:32 +00:00
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My own unscientific single machine results
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###################################################
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My Own Results on Mac Book with Solid State Disk, CPU: 1 Intel Core i7 at 2.2GHz.
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.. code-block:: bash
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Write 1 million 1KB file:
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Concurrency Level: 64
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Time taken for tests: 182.456 seconds
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Complete requests: 1048576
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Failed requests: 0
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Total transferred: 1073741824 bytes
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Requests per second: 5747.01 [#/sec]
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Transfer rate: 5747.01 [Kbytes/sec]
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Connection Times (ms)
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min avg max std
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Total: 0.3 10.9 430.9 5.7
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Percentage of the requests served within a certain time (ms)
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50% 10.2 ms
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66% 12.0 ms
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75% 12.6 ms
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80% 12.9 ms
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90% 14.0 ms
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95% 14.9 ms
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98% 16.2 ms
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99% 17.3 ms
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100% 430.9 ms
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Randomly read 1 million files:
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Concurrency Level: 64
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Time taken for tests: 80.732 seconds
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Complete requests: 1048576
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Failed requests: 0
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Total transferred: 1073741824 bytes
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Requests per second: 12988.37 [#/sec]
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Transfer rate: 12988.37 [Kbytes/sec]
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Connection Times (ms)
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min avg max std
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Total: 0.0 4.7 254.3 6.3
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Percentage of the requests served within a certain time (ms)
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50% 2.6 ms
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66% 2.9 ms
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75% 3.7 ms
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80% 4.7 ms
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90% 10.3 ms
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95% 16.6 ms
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98% 26.3 ms
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99% 34.8 ms
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100% 254.3 ms
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My own replication 001 single machine results
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##############################################
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Create benchmark volumes directly
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.. code-block:: bash
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curl "http://localhost:9333/vol/grow?collection=benchmark&count=3&replication=001&pretty=y"
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# Later, after finishing the test, remove the benchmark collection
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curl "http://localhost:9333/col/delete?collection=benchmark&pretty=y"
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Write 1million 1KB files results:
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Concurrency Level: 64
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Time taken for tests: 174.949 seconds
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Complete requests: 1048576
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Failed requests: 0
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Total transferred: 1073741824 bytes
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Requests per second: 5993.62 [#/sec]
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Transfer rate: 5993.62 [Kbytes/sec]
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Connection Times (ms)
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min avg max std
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Total: 0.3 10.4 296.6 4.4
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Percentage of the requests served within a certain time (ms)
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50% 9.7 ms
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66% 11.5 ms
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75% 12.1 ms
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80% 12.4 ms
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90% 13.4 ms
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95% 14.3 ms
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98% 15.5 ms
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99% 16.7 ms
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100% 296.6 ms
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Randomly read results:
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Concurrency Level: 64
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Time taken for tests: 53.987 seconds
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Complete requests: 1048576
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Failed requests: 0
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Total transferred: 1073741824 bytes
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Requests per second: 19422.81 [#/sec]
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Transfer rate: 19422.81 [Kbytes/sec]
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Connection Times (ms)
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min avg max std
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Total: 0.0 3.0 256.9 3.8
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Percentage of the requests served within a certain time (ms)
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50% 2.7 ms
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66% 2.9 ms
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75% 3.2 ms
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80% 3.5 ms
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90% 4.4 ms
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95% 5.6 ms
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98% 7.4 ms
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99% 9.4 ms
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100% 256.9 ms
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How can the replication 001 writes faster than no replication?
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2014-12-22 07:06:42 +00:00
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I could not tell. Very likely, the computer was in turbo mode.
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I can not reproduce it consistently either. Posted the number here just to illustrate that number lies.
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Don't quote on the exact number, just get an idea of the performance would be good enough.
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