SuccessConsole Output

[EnvInject] - Mask passwords passed as build parameters.
GitHub pull request #436 of commit 7ec562808d2fcaed519552183a6abc9660b9583e automatically merged.
[EnvInject] - Loading node environment variables.
Building remotely on amp-jenkins-staging-worker-01 (ubuntu ubuntu-gpu staging staging-01) in workspace /home/jenkins/workspace/Modin-Performance-PRB
[WS-CLEANUP] Deleting project workspace...
[WS-CLEANUP] Done
Cloning the remote Git repository
Cloning repository https://github.com/modin-project/modin
 > git init /home/jenkins/workspace/Modin-Performance-PRB # timeout=10
Fetching upstream changes from https://github.com/modin-project/modin
 > git --version # timeout=10
 > git fetch --tags --progress https://github.com/modin-project/modin +refs/heads/*:refs/remotes/origin/*
 > git config remote.origin.url https://github.com/modin-project/modin # timeout=10
 > git config --add remote.origin.fetch +refs/heads/*:refs/remotes/origin/* # timeout=10
 > git config remote.origin.url https://github.com/modin-project/modin # timeout=10
Fetching upstream changes from https://github.com/modin-project/modin
 > git fetch --tags --progress https://github.com/modin-project/modin +refs/pull/*:refs/remotes/origin/pr/*
 > git rev-parse origin/pr/436/merge^{commit} # timeout=10
 > git branch -a -v --no-abbrev --contains c78e446b314fb5876ab211ef7abd4f0d6c903cfa # timeout=10
Checking out Revision c78e446b314fb5876ab211ef7abd4f0d6c903cfa (origin/pr/436/merge)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f c78e446b314fb5876ab211ef7abd4f0d6c903cfa
First time build. Skipping changelog.
[Modin-Performance-PRB] $ /bin/sh -xe /tmp/hudson6510981395682052145.sh
+ export BUCKET_SUFFIX=PR
+ bash .jenkins/performance-tests/run_perf_ci.sh
++ git rev-parse --verify --short HEAD
+ sha_tag=c78e446
+ docker build -t modin-project/perf-test:c78e446 -f .jenkins/performance-tests/Dockerfile .
Sending build context to Docker daemon  9.038MB

Step 1/7 : FROM python:3.6.6-stretch
 ---> 8256ec07b2ad
Step 2/7 : COPY requirements.txt requirements.txt
 ---> Using cache
 ---> c85d81c8c909
Step 3/7 : RUN pip install -r requirements.txt
 ---> Using cache
 ---> ba3f33b3cf51
Step 4/7 : RUN pip install -q pytest==3.9.3 awscli pytest-benchmark feather-format lxml openpyxl xlrd numpy matplotlib sqlalchemy
 ---> Running in 8ddf15a5665d
You are using pip version 18.1, however version 19.0.1 is available.
You should consider upgrading via the 'pip install --upgrade pip' command.
Removing intermediate container 8ddf15a5665d
 ---> e3aad5f9a135
Step 5/7 : COPY . .
 ---> 848813305d32
Step 6/7 : RUN pip install -e .
 ---> Running in 512b464f5013
Obtaining file:///
Requirement already satisfied: pandas==0.23.4 in /usr/local/lib/python3.6/site-packages (from modin==0.3.0) (0.23.4)
Requirement already satisfied: ray==0.6.2 in /usr/local/lib/python3.6/site-packages (from modin==0.3.0) (0.6.2)
Requirement already satisfied: numpy<=1.15.0 in /usr/local/lib/python3.6/site-packages (from modin==0.3.0) (1.15.0)
Requirement already satisfied: python-dateutil>=2.5.0 in /usr/local/lib/python3.6/site-packages (from pandas==0.23.4->modin==0.3.0) (2.7.5)
Requirement already satisfied: pytz>=2011k in /usr/local/lib/python3.6/site-packages (from pandas==0.23.4->modin==0.3.0) (2018.9)
Requirement already satisfied: colorama in /usr/local/lib/python3.6/site-packages (from ray==0.6.2->modin==0.3.0) (0.3.9)
Requirement already satisfied: flatbuffers in /usr/local/lib/python3.6/site-packages (from ray==0.6.2->modin==0.3.0) (1.10)
Requirement already satisfied: redis in /usr/local/lib/python3.6/site-packages (from ray==0.6.2->modin==0.3.0) (3.1.0)
Requirement already satisfied: six>=1.0.0 in /usr/local/lib/python3.6/site-packages (from ray==0.6.2->modin==0.3.0) (1.12.0)
Requirement already satisfied: click in /usr/local/lib/python3.6/site-packages (from ray==0.6.2->modin==0.3.0) (7.0)
Requirement already satisfied: filelock in /usr/local/lib/python3.6/site-packages (from ray==0.6.2->modin==0.3.0) (3.0.10)
Requirement already satisfied: pytest in /usr/local/lib/python3.6/site-packages (from ray==0.6.2->modin==0.3.0) (3.9.3)
Requirement already satisfied: funcsigs in /usr/local/lib/python3.6/site-packages (from ray==0.6.2->modin==0.3.0) (1.0.2)
Requirement already satisfied: pyyaml in /usr/local/lib/python3.6/site-packages (from ray==0.6.2->modin==0.3.0) (3.13)
Requirement already satisfied: py>=1.5.0 in /usr/local/lib/python3.6/site-packages (from pytest->ray==0.6.2->modin==0.3.0) (1.7.0)
Requirement already satisfied: more-itertools>=4.0.0 in /usr/local/lib/python3.6/site-packages (from pytest->ray==0.6.2->modin==0.3.0) (5.0.0)
Requirement already satisfied: setuptools in /usr/local/lib/python3.6/site-packages (from pytest->ray==0.6.2->modin==0.3.0) (40.4.3)
Requirement already satisfied: atomicwrites>=1.0 in /usr/local/lib/python3.6/site-packages (from pytest->ray==0.6.2->modin==0.3.0) (1.2.1)
Requirement already satisfied: pluggy>=0.7 in /usr/local/lib/python3.6/site-packages (from pytest->ray==0.6.2->modin==0.3.0) (0.8.1)
Requirement already satisfied: attrs>=17.4.0 in /usr/local/lib/python3.6/site-packages (from pytest->ray==0.6.2->modin==0.3.0) (18.2.0)
Installing collected packages: modin
  Running setup.py develop for modin
Successfully installed modin
You are using pip version 18.1, however version 19.0.1 is available.
You should consider upgrading via the 'pip install --upgrade pip' command.
Removing intermediate container 512b464f5013
 ---> edec6e1cedc6
Step 7/7 : ENTRYPOINT ["bash", ".jenkins/performance-tests/run_perf_test.sh"]
 ---> Running in 9ef00ea6457f
Removing intermediate container 9ef00ea6457f
 ---> ccfa3bb7af25
Successfully built ccfa3bb7af25
Successfully tagged modin-project/perf-test:c78e446
+ docker run --rm --shm-size=1g -e AWS_ACCESS_KEY_ID=**** -e AWS_SECRET_ACCESS_KEY=**** -e BUCKET_SUFFIX=PR modin-project/perf-test:c78e446
+ source activate py3
.jenkins/performance-tests/run_perf_test.sh: line 3: activate: No such file or directory
+ python -c 'import ray; ray.init()'
/usr/local/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 88
  return f(*args, **kwds)
/usr/local/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 88
  return f(*args, **kwds)
WARNING: Not updating worker name since `setproctitle` is not installed. Install this with `pip install setproctitle` (or ray[debug]) to enable monitoring of worker processes.
Process STDOUT and STDERR is being redirected to /tmp/ray/session_2019-02-01_05-53-43_8/logs.
Waiting for redis server at 127.0.0.1:48201 to respond...
Waiting for redis server at 127.0.0.1:12976 to respond...
Starting Redis shard with 10.0 GB max memory.
Warning: Capping object memory store to 20.0GB. To increase this further, specify `object_store_memory` when calling ray.init() or ray start.
WARNING: The object store is using /tmp instead of /dev/shm because /dev/shm has only 1073741824 bytes available. This may slow down performance! You may be able to free up space by deleting files in /dev/shm or terminating any running plasma_store_server processes. If you are inside a Docker container, you may need to pass an argument with the flag '--shm-size' to 'docker run'.
Starting the Plasma object store with 20.0 GB memory using /tmp.
Failed to start the UI, you may need to run 'pip install jupyter'.
+ MODIN_ENGINE=dask
+ pytest --benchmark-autosave --disable-pytest-warnings modin/pandas/test/performance-tests/test_performance.py
============================= test session starts ==============================
platform linux -- Python 3.6.6, pytest-3.9.3, py-1.7.0, pluggy-0.8.1
benchmark: 3.2.2 (defaults: timer=time.perf_counter disable_gc=False min_rounds=5 min_time=0.000005 max_time=1.0 calibration_precision=10 warmup=False warmup_iterations=100000)
rootdir: /, inifile:
plugins: benchmark-3.2.2
collected 6 items

modin/pandas/test/performance-tests/test_performance.py ....F.           [100%]
Saved benchmark data in: //.benchmarks/Linux-CPython-3.6-64bit/0001_c78e446b314fb5876ab211ef7abd4f0d6c903cfa_20190201_055345.json


=================================== FAILURES ===================================
________________________________ test_describe _________________________________

benchmark = <pytest_benchmark.fixture.BenchmarkFixture object at 0x7f93cd966fd0>

    def test_describe(benchmark):
>       result = benchmark(pd.DataFrame.describe, ray_df)

modin/pandas/test/performance-tests/test_performance.py:53: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
usr/local/lib/python3.6/site-packages/pytest_benchmark/fixture.py:126: in __call__
    return self._raw(function_to_benchmark, *args, **kwargs)
usr/local/lib/python3.6/site-packages/pytest_benchmark/fixture.py:148: in _raw
    duration, iterations, loops_range = self._calibrate_timer(runner)
usr/local/lib/python3.6/site-packages/pytest_benchmark/fixture.py:276: in _calibrate_timer
    duration = runner(loops_range)
usr/local/lib/python3.6/site-packages/pytest_benchmark/fixture.py:91: in runner
    function_to_benchmark(*args, **kwargs)
modin/pandas/dataframe.py:1107: in describe
    percentiles=percentiles, include=include, exclude=exclude
modin/data_management/query_compiler/pandas_query_compiler.py:1642: in describe
    func, 0, new_columns, False
modin/data_management/query_compiler/pandas_query_compiler.py:1581: in full_axis_reduce_along_select_indices
    axis, func, numeric_indices
modin/engines/base/block_partitions.py:916: in apply_func_to_select_indices_along_full_axis
    for i in partitions_dict
modin/engines/base/block_partitions.py:916: in <listcomp>
    for i in partitions_dict
modin/engines/dask/pandas_on_dask_delayed/axis_partition.py:62: in apply
    DaskRemotePartition(dask.delayed(obj)) for obj in deploy_axis_func(*args)
modin/engines/dask/pandas_on_dask_delayed/axis_partition.py:117: in deploy_axis_func
    for df in split_result_of_axis_func_pandas(axis, num_splits, result, lengths)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

.0 = <list_iterator object at 0x7f93c4220470>

        df.copy()
>       for df in split_result_of_axis_func_pandas(axis, num_splits, result, lengths)
    ]
E   AttributeError: 'int' object has no attribute 'copy'

modin/engines/dask/pandas_on_dask_delayed/axis_partition.py:117: AttributeError


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------------------------------------------------------------------------------------------------------ benchmark: 5 tests ------------------------------------------------------------------------------------------------------
Name (time in us)                Min                       Max                      Mean                  StdDev                    Median                     IQR            Outliers         OPS            Rounds  Iterations
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
test_isna                   388.0369 (1.0)         24,014.1349 (1.05)           823.9076 (1.0)        1,757.2595 (1.0)            474.6080 (1.0)          114.1098 (1.0)        46;156  1,213.7283 (1.0)        1282           1
test_add                  1,077.7111 (2.78)        22,847.7020 (1.0)          2,515.8292 (3.05)       2,606.8230 (1.48)         1,738.5886 (3.66)         405.0490 (3.55)        31;66    397.4833 (0.33)        416           1
test_fillna              55,848.1012 (143.92)     875,936.8551 (38.34)      527,317.6844 (640.02)   353,307.7120 (201.06)     696,921.0920 (>1000.0)  717,027.5685 (>1000.0)       4;0      1.8964 (0.00)         11           1
test_add_df              77,642.9952 (200.09)   1,012,476.2391 (44.31)      541,928.8659 (657.75)   430,620.2907 (245.05)     742,562.7180 (>1000.0)  756,671.1647 (>1000.0)       3;0      1.8453 (0.00)          5           1
test_sum              1,815,921.3110 (>1000.0)  2,601,651.2420 (113.87)   2,211,598.3364 (>1000.0)  287,184.9947 (163.43)   2,256,875.6631 (>1000.0)  340,163.0213 (>1000.0)       2;0      0.4522 (0.00)          5           1
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

Legend:
  Outliers: 1 Standard Deviation from Mean; 1.5 IQR (InterQuartile Range) from 1st Quartile and 3rd Quartile.
  OPS: Operations Per Second, computed as 1 / Mean
=============== 1 failed, 5 passed, 4 warnings in 38.15 seconds ================
+ MODIN_ENGINE=python
+ pytest --benchmark-autosave --disable-pytest-warnings modin/pandas/test/performance-tests/test_performance.py
============================= test session starts ==============================
platform linux -- Python 3.6.6, pytest-3.9.3, py-1.7.0, pluggy-0.8.1
benchmark: 3.2.2 (defaults: timer=time.perf_counter disable_gc=False min_rounds=5 min_time=0.000005 max_time=1.0 calibration_precision=10 warmup=False warmup_iterations=100000)
rootdir: /, inifile:
plugins: benchmark-3.2.2
collected 6 items

modin/pandas/test/performance-tests/test_performance.py ......           [100%]
Saved benchmark data in: //.benchmarks/Linux-CPython-3.6-64bit/0002_c78e446b314fb5876ab211ef7abd4f0d6c903cfa_20190201_055425.json




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---------------------------------------------------------------------------------------------- benchmark: 6 tests ----------------------------------------------------------------------------------------------
Name (time in us)             Min                    Max                   Mean                StdDev                 Median                   IQR            Outliers         OPS            Rounds  Iterations
----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
test_isna                485.4680 (1.0)       1,191.6060 (1.0)         662.6325 (1.0)        139.5280 (1.0)         664.1250 (1.0)        291.1356 (8.69)        883;0  1,509.1321 (1.0)        1575           1
test_fillna              928.4001 (1.91)      4,808.6538 (4.04)      1,401.0731 (2.11)       249.1012 (1.79)      1,427.3586 (2.15)        33.4838 (1.0)         44;78    713.7386 (0.47)        326           1
test_add               1,300.0839 (2.68)      4,866.6459 (4.08)      1,947.1630 (2.94)       317.9163 (2.28)      1,991.0935 (3.00)       100.1925 (2.99)        60;70    513.5677 (0.34)        312           1
test_sum               1,677.1569 (3.45)      3,051.5760 (2.56)      2,294.4543 (3.46)       458.8128 (3.29)      2,454.8399 (3.70)       824.4138 (24.62)        80;0    435.8335 (0.29)        177           1
test_add_df            2,874.3970 (5.92)     10,767.8229 (9.04)      4,056.3918 (6.12)       877.8887 (6.29)      4,029.5720 (6.07)     1,544.2133 (46.12)        68;1    246.5245 (0.16)        181           1
test_describe         17,211.6279 (35.45)    73,604.8990 (61.77)    23,979.6274 (36.19)    9,906.2829 (71.00)    21,138.9121 (31.83)    4,681.6040 (139.82)        1;1     41.7021 (0.03)         30           1
----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

Legend:
  Outliers: 1 Standard Deviation from Mean; 1.5 IQR (InterQuartile Range) from 1st Quartile and 3rd Quartile.
  OPS: Operations Per Second, computed as 1 / Mean
===================== 6 passed, 2 warnings in 7.06 seconds =====================
+ pytest --benchmark-autosave --disable-pytest-warnings modin/pandas/test/performance-tests/test_performance.py
============================= test session starts ==============================
platform linux -- Python 3.6.6, pytest-3.9.3, py-1.7.0, pluggy-0.8.1
benchmark: 3.2.2 (defaults: timer=time.perf_counter disable_gc=False min_rounds=5 min_time=0.000005 max_time=1.0 calibration_precision=10 warmup=False warmup_iterations=100000)
rootdir: /, inifile:
plugins: benchmark-3.2.2
collected 6 items

modin/pandas/test/performance-tests/test_performance.py ......           [100%]
Saved benchmark data in: //.benchmarks/Linux-CPython-3.6-64bit/0003_c78e446b314fb5876ab211ef7abd4f0d6c903cfa_20190201_055433.json




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------------------------------------------------------------------------------------ benchmark: 6 tests ------------------------------------------------------------------------------------
Name (time in ms)         Min                 Max                Mean              StdDev             Median                 IQR            Outliers       OPS            Rounds  Iterations
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
test_fillna            1.8030 (1.0)       32.1983 (2.93)       5.1934 (1.14)       4.1389 (3.68)      3.5496 (1.0)        3.5717 (6.17)        17;13  192.5535 (0.88)        200           1
test_isna              2.8542 (1.58)      10.9896 (1.0)        4.5562 (1.0)        1.1232 (1.0)       4.2906 (1.21)       0.5784 (1.0)           7;6  219.4807 (1.0)          85           1
test_add_df            5.3673 (2.98)      95.8104 (8.72)      13.8632 (3.04)      12.9279 (11.51)     8.8501 (2.49)       3.7833 (6.54)        10;16   72.1333 (0.33)        102           1
test_add               9.5320 (5.29)      40.2226 (3.66)      22.1190 (4.85)       9.4138 (8.38)     20.8644 (5.88)       9.7971 (16.94)         4;1   45.2100 (0.21)         17           1
test_sum              20.8060 (11.54)    586.9195 (53.41)    146.0030 (32.04)    247.3224 (220.20)   26.5677 (7.48)     176.1155 (304.47)        1;1    6.8492 (0.03)          5           1
test_describe         28.2207 (15.65)     67.0825 (6.10)      48.5538 (10.66)     13.6148 (12.12)    46.4645 (13.09)     19.8479 (34.31)         3;0   20.5957 (0.09)          7           1
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

Legend:
  Outliers: 1 Standard Deviation from Mean; 1.5 IQR (InterQuartile Range) from 1st Quartile and 3rd Quartile.
  OPS: Operations Per Second, computed as 1 / Mean
==================== 6 passed, 2 warnings in 19.18 seconds =====================
++ git rev-parse --verify --short HEAD
+ sha_tag=c78e446
+ aws s3 cp .benchmarks/Linux-CPython-3.6-64bit/0001_c78e446b314fb5876ab211ef7abd4f0d6c903cfa_20190201_055345.json .benchmarks/Linux-CPython-3.6-64bit/0002_c78e446b314fb5876ab211ef7abd4f0d6c903cfa_20190201_055425.json .benchmarks/Linux-CPython-3.6-64bit/0003_c78e446b314fb5876ab211ef7abd4f0d6c903cfa_20190201_055433.json s3://modin-jenkins-result/c78e446-perf-PR/ --acl public-read

Unknown options: .benchmarks/Linux-CPython-3.6-64bit/0003_c78e446b314fb5876ab211ef7abd4f0d6c903cfa_20190201_055433.json,s3://modin-jenkins-result/c78e446-perf-PR/
+ rm -rf .benchmarks
Test PASSed.
Refer to this link for build results (access rights to CI server needed): 
https://amplab.cs.berkeley.edu/jenkins//job/Modin-Performance-PRB/340/
Test PASSed.
Finished: SUCCESS