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Author SHA1 Message Date
Hyukjin Kwon 310cd8eef1 [SPARK-36092][INFRA][BUILD][PYTHON] Migrate to GitHub Actions with Codecov from Jenkins
This PR proposes to migrate Coverage report from Jenkins to GitHub Actions by setting a dailly cron job.

For some background, currently PySpark code coverage is being reported in this specific Jenkins job: https://amplab.cs.berkeley.edu/jenkins/job/spark-master-test-sbt-hadoop-2.7/

Because of the security issue between [Codecov service](https://app.codecov.io/gh/) and Jenkins machines, we had to work around by manually hosting a coverage site via GitHub pages, see also https://spark-test.github.io/pyspark-coverage-site/ by spark-test account (which is shared to only subset of PMC members).

Since we now run the build via GitHub Actions, we can leverage [Codecov plugin](https://github.com/codecov/codecov-action), and remove the workaround we used.

Virtually no. Coverage site (UI) might change but the information it holds should be virtually the same.

I manually tested:
- Scheduled run: https://github.com/HyukjinKwon/spark/actions/runs/1082261484
- Coverage report: 73f0291a7d/python/pyspark
- Run against a PR: https://github.com/HyukjinKwon/spark/actions/runs/1082367175

Closes #33591 from HyukjinKwon/SPARK-36092.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit c0d1860f25)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
2021-08-01 21:38:39 +09:00
Yikun Jiang 390d5bde81 [SPARK-34968][TEST][PYTHON] Add the -fr argument to xargs rm
### What changes were proposed in this pull request?
This patch add  the `-fr` argument to `xargs rm`.

### Why are the changes needed?

This cmd is unavailable in basic case. If the find command does not get any search results, the rm command is invoked with an empty argument list, and then we will get a `rm: missing operand` and break, then the coverage report does not generate.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
python/run-tests-with-coverage --testnames pyspark.sql.tests.test_arrow --python-executables=python

The coverage report result is generated without break.

Closes #32064 from Yikun/patch-1.

Authored-by: Yikun Jiang <yikunkero@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
2021-04-06 15:20:55 -07:00
Hyukjin Kwon 7e3eb3cd20 [SPARK-26252][PYTHON] Add support to run specific unittests and/or doctests in python/run-tests script
## What changes were proposed in this pull request?

This PR proposes add a developer option, `--testnames`, to our testing script to allow run specific set of unittests and doctests.

**1. Run unittests in the class**

```bash
./run-tests --testnames 'pyspark.sql.tests.test_arrow ArrowTests'
```
```
Running PySpark tests. Output is in /.../spark/python/unit-tests.log
Will test against the following Python executables: ['python2.7', 'pypy']
Will test the following Python tests: ['pyspark.sql.tests.test_arrow ArrowTests']
Starting test(python2.7): pyspark.sql.tests.test_arrow ArrowTests
Starting test(pypy): pyspark.sql.tests.test_arrow ArrowTests
Finished test(python2.7): pyspark.sql.tests.test_arrow ArrowTests (14s)
Finished test(pypy): pyspark.sql.tests.test_arrow ArrowTests (14s) ... 22 tests were skipped
Tests passed in 14 seconds

Skipped tests in pyspark.sql.tests.test_arrow ArrowTests with pypy:
    test_createDataFrame_column_name_encoding (pyspark.sql.tests.test_arrow.ArrowTests) ... skipped 'Pandas >= 0.19.2 must be installed; however, it was not found.'
    test_createDataFrame_does_not_modify_input (pyspark.sql.tests.test_arrow.ArrowTests) ... skipped 'Pandas >= 0.19.2 must be installed; however, it was not found.'
    test_createDataFrame_fallback_disabled (pyspark.sql.tests.test_arrow.ArrowTests) ... skipped 'Pandas >= 0.19.2 must be installed; however, it was not found.'
    test_createDataFrame_fallback_enabled (pyspark.sql.tests.test_arrow.ArrowTests) ... skipped
...
```

**2. Run single unittest in the class.**

```bash
./run-tests --testnames 'pyspark.sql.tests.test_arrow ArrowTests.test_null_conversion'
```
```
Running PySpark tests. Output is in /.../spark/python/unit-tests.log
Will test against the following Python executables: ['python2.7', 'pypy']
Will test the following Python tests: ['pyspark.sql.tests.test_arrow ArrowTests.test_null_conversion']
Starting test(pypy): pyspark.sql.tests.test_arrow ArrowTests.test_null_conversion
Starting test(python2.7): pyspark.sql.tests.test_arrow ArrowTests.test_null_conversion
Finished test(pypy): pyspark.sql.tests.test_arrow ArrowTests.test_null_conversion (0s) ... 1 tests were skipped
Finished test(python2.7): pyspark.sql.tests.test_arrow ArrowTests.test_null_conversion (8s)
Tests passed in 8 seconds

Skipped tests in pyspark.sql.tests.test_arrow ArrowTests.test_null_conversion with pypy:
    test_null_conversion (pyspark.sql.tests.test_arrow.ArrowTests) ... skipped 'Pandas >= 0.19.2 must be installed; however, it was not found.'
```

**3. Run doctests in single PySpark module.**

```bash
./run-tests --testnames pyspark.sql.dataframe
```

```
Running PySpark tests. Output is in /.../spark/python/unit-tests.log
Will test against the following Python executables: ['python2.7', 'pypy']
Will test the following Python tests: ['pyspark.sql.dataframe']
Starting test(pypy): pyspark.sql.dataframe
Starting test(python2.7): pyspark.sql.dataframe
Finished test(python2.7): pyspark.sql.dataframe (47s)
Finished test(pypy): pyspark.sql.dataframe (48s)
Tests passed in 48 seconds
```

Of course, you can mix them:

```bash
./run-tests --testnames 'pyspark.sql.tests.test_arrow ArrowTests,pyspark.sql.dataframe'
```

```
Running PySpark tests. Output is in /.../spark/python/unit-tests.log
Will test against the following Python executables: ['python2.7', 'pypy']
Will test the following Python tests: ['pyspark.sql.tests.test_arrow ArrowTests', 'pyspark.sql.dataframe']
Starting test(pypy): pyspark.sql.dataframe
Starting test(pypy): pyspark.sql.tests.test_arrow ArrowTests
Starting test(python2.7): pyspark.sql.dataframe
Starting test(python2.7): pyspark.sql.tests.test_arrow ArrowTests
Finished test(pypy): pyspark.sql.tests.test_arrow ArrowTests (0s) ... 22 tests were skipped
Finished test(python2.7): pyspark.sql.tests.test_arrow ArrowTests (18s)
Finished test(python2.7): pyspark.sql.dataframe (50s)
Finished test(pypy): pyspark.sql.dataframe (52s)
Tests passed in 52 seconds

Skipped tests in pyspark.sql.tests.test_arrow ArrowTests with pypy:
    test_createDataFrame_column_name_encoding (pyspark.sql.tests.test_arrow.ArrowTests) ... skipped 'Pandas >= 0.19.2 must be installed; however, it was not found.'
    test_createDataFrame_does_not_modify_input (pyspark.sql.tests.test_arrow.ArrowTests) ... skipped 'Pandas >= 0.19.2 must be installed; however, it was not found.'
    test_createDataFrame_fallback_disabled (pyspark.sql.tests.test_arrow.ArrowTests) ... skipped 'Pandas >= 0.19.2 must be installed; however, it was not found.'
```

and also you can use all other options (except `--modules`, which will be ignored)

```bash
./run-tests --testnames 'pyspark.sql.tests.test_arrow ArrowTests.test_null_conversion' --python-executables=python
```

```
Running PySpark tests. Output is in /.../spark/python/unit-tests.log
Will test against the following Python executables: ['python']
Will test the following Python tests: ['pyspark.sql.tests.test_arrow ArrowTests.test_null_conversion']
Starting test(python): pyspark.sql.tests.test_arrow ArrowTests.test_null_conversion
Finished test(python): pyspark.sql.tests.test_arrow ArrowTests.test_null_conversion (12s)
Tests passed in 12 seconds
```

See help below:

```bash
 ./run-tests --help
```

```
Usage: run-tests [options]

Options:
...
  Developer Options:
    --testnames=TESTNAMES
                        A comma-separated list of specific modules, classes
                        and functions of doctest or unittest to test. For
                        example, 'pyspark.sql.foo' to run the module as
                        unittests or doctests, 'pyspark.sql.tests FooTests' to
                        run the specific class of unittests,
                        'pyspark.sql.tests FooTests.test_foo' to run the
                        specific unittest in the class. '--modules' option is
                        ignored if they are given.
```

I intentionally grouped it as a developer option to be more conservative.

## How was this patch tested?

Manually tested. Negative tests were also done.

```bash
./run-tests --testnames 'pyspark.sql.tests.test_arrow ArrowTests.test_null_conversion1' --python-executables=python
```

```
...
AttributeError: type object 'ArrowTests' has no attribute 'test_null_conversion1'
...
```

```bash
./run-tests --testnames 'pyspark.sql.tests.test_arrow ArrowT' --python-executables=python
```

```
...
AttributeError: 'module' object has no attribute 'ArrowT'
...
```

```bash
 ./run-tests --testnames 'pyspark.sql.tests.test_ar' --python-executables=python
```
```
...
/.../python2.7: No module named pyspark.sql.tests.test_ar
```

Closes #23203 from HyukjinKwon/SPARK-26252.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
2018-12-05 15:22:08 +08:00
hyukjinkwon 87ffe7addd [SPARK-7721][PYTHON][TESTS] Adds PySpark coverage generation script
## What changes were proposed in this pull request?

Note that this PR was made based on the top of https://github.com/apache/spark/pull/20151. So, it almost leaves the main codes intact.

This PR proposes to add a script for the preparation of automatic PySpark coverage generation. Now, it's difficult to check the actual coverage in case of PySpark. With this script, it allows to run tests by the way we did via `run-tests` script before. The usage is exactly the same with `run-tests` script as this basically wraps it.

This script and PR alone should also be useful. I was asked about how to run this before, and seems some reviewers (including me) need this. It would be also useful to run it manually.

It usually requires a small diff in normal Python projects but PySpark cases are a bit different because apparently we are unable to track the coverage after it's forked. So, here, I made a custom worker that forces the coverage, based on the top of https://github.com/apache/spark/pull/20151.

I made a simple demo. Please take a look - https://spark-test.github.io/pyspark-coverage-site.

To show up the structure, this PR adds the files as below:

```
python
├── .coveragerc  # Runtime configuration when we run the script.
├── run-tests-with-coverage  # The script that has coverage support and wraps run-tests script.
└── test_coverage  # Directories that have files required when running coverage.
    ├── conf
    │   └── spark-defaults.conf  # Having the configuration 'spark.python.daemon.module'.
    ├── coverage_daemon.py  # A daemon having custom fix and wrapping our daemon.py
    └── sitecustomize.py  # Initiate coverage with COVERAGE_PROCESS_START
```

Note that this PR has a minor nit:

[This scope](04e44b37cc/python/pyspark/daemon.py (L148-L169)) in `daemon.py` is not in the coverage results as basically I am producing the coverage results in `worker.py` separately and then merging it. I believe it's not a big deal.

In a followup, I might have a site that has a single up-to-date PySpark coverage from the master branch as the fallback / default, or have a site that has multiple PySpark coverages and the site link will be left to each pull request.

## How was this patch tested?

Manually tested. Usage is the same with the existing Python test script - `./python/run-tests`. For example,

```
sh run-tests-with-coverage --python-executables=python3 --modules=pyspark-sql
```

Running this will generate HTMLs under `./python/test_coverage/htmlcov`.

Console output example:

```
sh run-tests-with-coverage --python-executables=python3,python --modules=pyspark-core
Running PySpark tests. Output is in /.../spark/python/unit-tests.log
Will test against the following Python executables: ['python3', 'python']
Will test the following Python modules: ['pyspark-core']
Starting test(python): pyspark.tests
Starting test(python3): pyspark.tests
...
Tests passed in 231 seconds
Combining collected coverage data under /.../spark/python/test_coverage/coverage_data
Reporting the coverage data at /...spark/python/test_coverage/coverage_data/coverage
Name                         Stmts   Miss Branch BrPart  Cover
--------------------------------------------------------------
pyspark/__init__.py             41      0      8      2    96%
...
pyspark/profiler.py             74     11     22      5    83%
pyspark/rdd.py                 871     40    303     32    93%
pyspark/rddsampler.py           68     10     32      2    82%
...
--------------------------------------------------------------
TOTAL                         8521   3077   2748    191    59%
Generating HTML files for PySpark coverage under /.../spark/python/test_coverage/htmlcov
```

Author: hyukjinkwon <gurwls223@gmail.com>

Closes #20204 from HyukjinKwon/python-coverage.
2018-01-22 22:12:50 +09:00