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Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2022/11/11 03:32:13 UTC

[GitHub] [spark] xinrong-meng opened a new pull request, #38611: [SPARK-41107] Install memory-profiler in the CI

xinrong-meng opened a new pull request, #38611:
URL: https://github.com/apache/spark/pull/38611

   ### What changes were proposed in this pull request?
   Install [memory-profiler](https://pypi.org/project/memory-profiler/) in CI in order to enable memory profiling tests.
   
   ### Why are the changes needed?
   That's a sub-task of [SPARK-40281](https://issues.apache.org/jira/browse/SPARK-40281) Memory Profiler on Executors.
   
   PySpark memory profiler depends on memory-profiler. The PR proposes to install memory-profiler in the CI to enable related tests.
   
   
   ### Does this PR introduce _any_ user-facing change?
   No.
   
   
   ### How was this patch tested?
   Existing tests.
   


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[GitHub] [spark] Yikun closed pull request #38611: [SPARK-41107][PYTHON][INFRA][TESTS] Install memory-profiler in the CI

Posted by GitBox <gi...@apache.org>.
Yikun closed pull request #38611: [SPARK-41107][PYTHON][INFRA][TESTS] Install memory-profiler in the CI
URL: https://github.com/apache/spark/pull/38611


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[GitHub] [spark] HyukjinKwon commented on pull request #38611: [SPARK-41107][PYTHON][INFRA][TESTS] Install memory-profiler in the CI

Posted by GitBox <gi...@apache.org>.
HyukjinKwon commented on PR #38611:
URL: https://github.com/apache/spark/pull/38611#issuecomment-1319432329

   I think mlflow got upgraded together for some reasons.


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[GitHub] [spark] AmplabJenkins commented on pull request #38611: [SPARK-41107][PYTHON][INFRA][TEST] Install memory-profiler in the CI

Posted by GitBox <gi...@apache.org>.
AmplabJenkins commented on PR #38611:
URL: https://github.com/apache/spark/pull/38611#issuecomment-1312240061

   Can one of the admins verify this patch?


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[GitHub] [spark] HyukjinKwon commented on pull request #38611: [SPARK-41107][PYTHON][INFRA][TESTS] Install memory-profiler in the CI

Posted by GitBox <gi...@apache.org>.
HyukjinKwon commented on PR #38611:
URL: https://github.com/apache/spark/pull/38611#issuecomment-1319430302

   The test failure this time seems different:
   
   ```
   
                                                                                   
   **********************************************************************
   File "/__w/spark/spark/python/pyspark/pandas/mlflow.py", line 168, in pyspark.pandas.mlflow.load_model
   Failed example:
       run_info = client.list_run_infos(exp_id)[-1]
   Exception raised:
       Traceback (most recent call last):
         File "/usr/lib/python3.9/doctest.py", line 1336, in __run
           exec(compile(example.source, filename, "single",
         File "<doctest pyspark.pandas.mlflow.load_model[14]>", line 1, in <module>
           run_info = client.list_run_infos(exp_id)[-1]
       AttributeError: 'MlflowClient' object has no attribute 'list_run_infos'
   **********************************************************************
   File "/__w/spark/spark/python/pyspark/pandas/mlflow.py", line 169, in pyspark.pandas.mlflow.load_model
   Failed example:
       model = load_model("runs:/{run_id}/model".format(run_id=run_info.run_uuid))
   Exception raised:
       Traceback (most recent call last):
         File "/usr/lib/python3.9/doctest.py", line 1336, in __run
           exec(compile(example.source, filename, "single",
         File "<doctest pyspark.pandas.mlflow.load_model[15]>", line 1, in <module>
           model = load_model("runs:/{run_id}/model".format(run_id=run_info.run_uuid))
       NameError: name 'run_info' is not defined
   **********************************************************************
   File "/__w/spark/spark/python/pyspark/pandas/mlflow.py", line 171, in pyspark.pandas.mlflow.load_model
   Failed example:
       prediction_df["prediction"] = model.predict(prediction_df)
   Exception raised:
       Traceback (most recent call last):
         File "/usr/lib/python3.9/doctest.py", line 1336, in __run
           exec(compile(example.source, filename, "single",
         File "<doctest pyspark.pandas.mlflow.load_model[17]>", line 1, in <module>
           prediction_df["prediction"] = model.predict(prediction_df)
       NameError: name 'model' is not defined
   **********************************************************************
   File "/__w/spark/spark/python/pyspark/pandas/mlflow.py", line 172, in pyspark.pandas.mlflow.load_model
   Failed example:
       prediction_df
   Expected:
           x1   x2  prediction
       0  2.0  4.0    1.355551
   Got:
           x1   x2
       0  2.0  4.0
   **********************************************************************
   File "/__w/spark/spark/python/pyspark/pandas/mlflow.py", line 178, in pyspark.pandas.mlflow.load_model
   Failed example:
       model.predict(prediction_df[["x1", "x2"]].to_pandas())
   Exception raised:
       Traceback (most recent call last):
         File "/usr/lib/python3.9/doctest.py", line 1336, in __run
           exec(compile(example.source, filename, "single",
         File "<doctest pyspark.pandas.mlflow.load_model[19]>", line 1, in <module>
           model.predict(prediction_df[["x1", "x2"]].to_pandas())
       NameError: name 'model' is not defined
   **********************************************************************
   File "/__w/spark/spark/python/pyspark/pandas/mlflow.py", line 189, in pyspark.pandas.mlflow.load_model
   Failed example:
       y = model.predict(features)
   Exception raised:
       Traceback (most recent call last):
         File "/usr/lib/python3.9/doctest.py", line 1336, in __run
           exec(compile(example.source, filename, "single",
         File "<doctest pyspark.pandas.mlflow.load_model[22]>", line 1, in <module>
           y = model.predict(features)
       NameError: name 'model' is not defined
   **********************************************************************
   File "/__w/spark/spark/python/pyspark/pandas/mlflow.py", line 198, in pyspark.pandas.mlflow.load_model
   Failed example:
       features['y'] = y
   Exception raised:
       Traceback (most recent call last):
         File "/usr/lib/python3.9/doctest.py", line 1336, in __run
           exec(compile(example.source, filename, "single",
         File "<doctest pyspark.pandas.mlflow.load_model[25]>", line 1, in <module>
           features['y'] = y
       NameError: name 'y' is not defined
   **********************************************************************
   File "/__w/spark/spark/python/pyspark/pandas/mlflow.py", line 200, in pyspark.pandas.mlflow.load_model
   Failed example:
       everything
   Expected:
           x1   x2  z         y
       0  2.0  3.0 -1  1.376932
   Got:
           x1   x2  z
       0  2.0  3.0 -1
   **********************************************************************
      8 of  26 in pyspark.pandas.mlflow.load_model
   ```


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[GitHub] [spark] HyukjinKwon commented on a diff in pull request #38611: [SPARK-41107][PYTHON][INFRA][TEST] Install memory-profiler in the CI

Posted by GitBox <gi...@apache.org>.
HyukjinKwon commented on code in PR #38611:
URL: https://github.com/apache/spark/pull/38611#discussion_r1022222629


##########
dev/infra/Dockerfile:
##########
@@ -32,7 +32,7 @@ RUN $APT_INSTALL software-properties-common git libxml2-dev pkg-config curl wget
 RUN update-alternatives --set java /usr/lib/jvm/java-8-openjdk-amd64/jre/bin/java
 
 RUN curl -sS https://bootstrap.pypa.io/get-pip.py | python3.9
-RUN python3.9 -m pip install numpy pyarrow 'pandas<=1.5.1' scipy unittest-xml-reporting plotly>=4.8 sklearn 'mlflow>=1.0' coverage matplotlib openpyxl
+RUN python3.9 -m pip install numpy pyarrow 'pandas<=1.5.1' scipy unittest-xml-reporting plotly>=4.8 sklearn 'mlflow>=1.0' coverage matplotlib openpyxl 'memory-profiler==0.60.0'
 
 RUN add-apt-repository ppa:pypy/ppa

Review Comment:
   ```
    > [ 8/26] RUN add-apt-repository ppa:pypy/ppa:
   #14 523.3 Cannot add PPA: 'ppa:~pypy/ubuntu/ppa'.
   #14 523.3 ERROR: '~pypy' user or team does not exist.
   ------
   Dockerfile:37
   --------------------
     35 |     RUN python3.9 -m pip install numpy pyarrow 'pandas<=1.5.1' scipy unittest-xml-reporting plotly>=4.8 sklearn 'mlflow>=1.0' coverage matplotlib openpyxl 'memory-profiler==0.60.0'
     36 |     
     37 | >>> RUN add-apt-repository ppa:pypy/ppa
     38 |     RUN apt update
     39 |     RUN $APT_INSTALL gfortran libopenblas-dev liblapack-dev
   ```
   
   @Yikun do you have an idea why this fails?



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[GitHub] [spark] xinrong-meng commented on a diff in pull request #38611: [SPARK-41107][PYTHON][INFRA][TEST] Install memory-profiler in the CI

Posted by GitBox <gi...@apache.org>.
xinrong-meng commented on code in PR #38611:
URL: https://github.com/apache/spark/pull/38611#discussion_r1020600278


##########
dev/infra/Dockerfile:
##########
@@ -32,7 +32,7 @@ RUN $APT_INSTALL software-properties-common git libxml2-dev pkg-config curl wget
 RUN update-alternatives --set java /usr/lib/jvm/java-8-openjdk-amd64/jre/bin/java
 
 RUN curl -sS https://bootstrap.pypa.io/get-pip.py | python3.9
-RUN python3.9 -m pip install numpy pyarrow 'pandas<=1.5.1' scipy unittest-xml-reporting plotly>=4.8 sklearn 'mlflow>=1.0' coverage matplotlib openpyxl
+RUN python3.9 -m pip install numpy pyarrow 'pandas<=1.5.1' scipy unittest-xml-reporting plotly>=4.8 sklearn 'mlflow>=1.0' coverage matplotlib openpyxl memory-profiler

Review Comment:
   Good point, modified.



##########
python/pyspark/testing/utils.py:
##########
@@ -28,6 +28,7 @@
 
 have_scipy = False
 have_numpy = False
+have_memory_profiler = False

Review Comment:
   Sounds good.



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[GitHub] [spark] xinrong-meng commented on pull request #38611: [SPARK-41107][PYTHON][INFRA][TEST] Install memory-profiler in the CI

Posted by GitBox <gi...@apache.org>.
xinrong-meng commented on PR #38611:
URL: https://github.com/apache/spark/pull/38611#issuecomment-1312958146

   Failed as below. Irrelevant to the PR. Retriggered tests.
   
   ```
   [error] (unsafe / Test / compileIncremental) Compilation failed
   [error] Total time: 799 s (13:19), completed Nov 12, 2022 12:06:53 AM
   [error] running /__w/spark/spark/build/sbt -Phadoop-3 -Phadoop-cloud -Pyarn -Pkinesis-asl -Pmesos -Pdocker-integration-tests -Pspark-ganglia-lgpl -Phive -Pkubernetes -Phive-thriftserver Test/package streaming-kinesis-asl-assembly/assembly connect/assembly ; received return code 1
   Error: Process completed with exit code 16.
   ```


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[GitHub] [spark] Yikun commented on a diff in pull request #38611: [SPARK-41107][PYTHON][INFRA][TEST] Install memory-profiler in the CI

Posted by GitBox <gi...@apache.org>.
Yikun commented on code in PR #38611:
URL: https://github.com/apache/spark/pull/38611#discussion_r1022254122


##########
dev/infra/Dockerfile:
##########
@@ -32,7 +32,7 @@ RUN $APT_INSTALL software-properties-common git libxml2-dev pkg-config curl wget
 RUN update-alternatives --set java /usr/lib/jvm/java-8-openjdk-amd64/jre/bin/java
 
 RUN curl -sS https://bootstrap.pypa.io/get-pip.py | python3.9
-RUN python3.9 -m pip install numpy pyarrow 'pandas<=1.5.1' scipy unittest-xml-reporting plotly>=4.8 sklearn 'mlflow>=1.0' coverage matplotlib openpyxl
+RUN python3.9 -m pip install numpy pyarrow 'pandas<=1.5.1' scipy unittest-xml-reporting plotly>=4.8 sklearn 'mlflow>=1.0' coverage matplotlib openpyxl 'memory-profiler==0.60.0'
 
 RUN add-apt-repository ppa:pypy/ppa

Review Comment:
   This should be the flaky error when adding apt repository (I haven't saw this error before), I think retry can help.



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[GitHub] [spark] ueshin commented on a diff in pull request #38611: [SPARK-41107][PYTHON][INFRA][TEST] Install memory-profiler in the CI

Posted by GitBox <gi...@apache.org>.
ueshin commented on code in PR #38611:
URL: https://github.com/apache/spark/pull/38611#discussion_r1020481025


##########
dev/infra/Dockerfile:
##########
@@ -32,7 +32,7 @@ RUN $APT_INSTALL software-properties-common git libxml2-dev pkg-config curl wget
 RUN update-alternatives --set java /usr/lib/jvm/java-8-openjdk-amd64/jre/bin/java
 
 RUN curl -sS https://bootstrap.pypa.io/get-pip.py | python3.9
-RUN python3.9 -m pip install numpy pyarrow 'pandas<=1.5.1' scipy unittest-xml-reporting plotly>=4.8 sklearn 'mlflow>=1.0' coverage matplotlib openpyxl
+RUN python3.9 -m pip install numpy pyarrow 'pandas<=1.5.1' scipy unittest-xml-reporting plotly>=4.8 sklearn 'mlflow>=1.0' coverage matplotlib openpyxl memory-profiler

Review Comment:
   Shall we freeze the version of `memory-profiler`, just in case?



##########
python/pyspark/testing/utils.py:
##########
@@ -28,6 +28,7 @@
 
 have_scipy = False
 have_numpy = False
+have_memory_profiler = False

Review Comment:
   I guess we can reuse `pyspark.profiler.has_memory_profiler`?



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[GitHub] [spark] xinrong-meng commented on pull request #38611: [SPARK-41107][PYTHON][INFRA][TESTS] Install memory-profiler in the CI

Posted by GitBox <gi...@apache.org>.
xinrong-meng commented on PR #38611:
URL: https://github.com/apache/spark/pull/38611#issuecomment-1319423102

   Do you happen to know if it's normal to fail so many times? @Yikun 


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[GitHub] [spark] xinrong-meng commented on a diff in pull request #38611: [SPARK-41107][PYTHON][INFRA][TESTS] Install memory-profiler in the CI

Posted by GitBox <gi...@apache.org>.
xinrong-meng commented on code in PR #38611:
URL: https://github.com/apache/spark/pull/38611#discussion_r1023163181


##########
dev/infra/Dockerfile:
##########
@@ -32,7 +32,7 @@ RUN $APT_INSTALL software-properties-common git libxml2-dev pkg-config curl wget
 RUN update-alternatives --set java /usr/lib/jvm/java-8-openjdk-amd64/jre/bin/java
 
 RUN curl -sS https://bootstrap.pypa.io/get-pip.py | python3.9
-RUN python3.9 -m pip install numpy pyarrow 'pandas<=1.5.1' scipy unittest-xml-reporting plotly>=4.8 sklearn 'mlflow>=1.0' coverage matplotlib openpyxl
+RUN python3.9 -m pip install numpy pyarrow 'pandas<=1.5.1' scipy unittest-xml-reporting plotly>=4.8 sklearn 'mlflow>=1.0' coverage matplotlib openpyxl 'memory-profiler==0.60.0'
 
 RUN add-apt-repository ppa:pypy/ppa

Review Comment:
   Thanks! I'll retry.



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[GitHub] [spark] Yikun commented on pull request #38611: [SPARK-41107][PYTHON][INFRA][TESTS] Install memory-profiler in the CI

Posted by GitBox <gi...@apache.org>.
Yikun commented on PR #38611:
URL: https://github.com/apache/spark/pull/38611#issuecomment-1319457396

   Yes, new version mlflow had some breaking change, you could first install memory-profile in the end of dockerfile(like connect).
   
   I will find sometime today to fix the doctest for new mlflow, in a separate PR.


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[GitHub] [spark] ueshin commented on a diff in pull request #38611: [SPARK-41107][PYTHON][INFRA][TEST] Install memory-profiler in the CI

Posted by GitBox <gi...@apache.org>.
ueshin commented on code in PR #38611:
URL: https://github.com/apache/spark/pull/38611#discussion_r1020481025


##########
dev/infra/Dockerfile:
##########
@@ -32,7 +32,7 @@ RUN $APT_INSTALL software-properties-common git libxml2-dev pkg-config curl wget
 RUN update-alternatives --set java /usr/lib/jvm/java-8-openjdk-amd64/jre/bin/java
 
 RUN curl -sS https://bootstrap.pypa.io/get-pip.py | python3.9
-RUN python3.9 -m pip install numpy pyarrow 'pandas<=1.5.1' scipy unittest-xml-reporting plotly>=4.8 sklearn 'mlflow>=1.0' coverage matplotlib openpyxl
+RUN python3.9 -m pip install numpy pyarrow 'pandas<=1.5.1' scipy unittest-xml-reporting plotly>=4.8 sklearn 'mlflow>=1.0' coverage matplotlib openpyxl memory-profiler

Review Comment:
   Shall we fix the version of `memory-profiler`, just in case?



##########
python/pyspark/testing/utils.py:
##########
@@ -28,6 +28,7 @@
 
 have_scipy = False
 have_numpy = False
+have_memory_profiler = False

Review Comment:
   Can't we reuse `pyspark.profiler.has_memory_profiler`?



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