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chore: update test pipeline to run higher spark version
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.github/workflows/tests.yml

Lines changed: 5 additions & 5 deletions
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@@ -127,12 +127,12 @@ jobs:
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strategy:
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matrix:
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os: [ ubuntu-22.04 ]
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python-version: [3.8]
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python-version: ["3.9", "3.10", "3.11"]
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pandas: ["pandas>1.1"]
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spark: ["3.0.1"]
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hadoop: [ 2.7 ]
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spark: ["3.4.4", "3.5.5"]
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hadoop: [ 3.7 ]
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numpy: ["numpy"]
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java_home: [ /usr/lib/jvm/java-8-openjdk-amd64 ]
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java_home: [ /usr/lib/jvm/java-11-openjdk-amd64 ]
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name: Tests Spark | python ${{ matrix.python-version }}, ${{ matrix.os }}, spark${{ matrix.spark }}, ${{ matrix.pandas }}, ${{ matrix.numpy }}
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env:
@@ -172,7 +172,7 @@ jobs:
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${{ runner.os }}-${{ matrix.pandas }}-pip-
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- run: |
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pip install --upgrade pip setuptools wheel
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pip install pytest-spark>=0.6.0 pyarrow==1.0.1 pyspark=="${{ matrix.spark }}"
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pip install pyarrow>4.0.0 pyspark=="${{ matrix.spark }}"
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pip install ".[test]"
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pip install "${{ matrix.pandas }}" "${{ matrix.numpy }}"
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- if: ${{ matrix.spark != '3.0.1' }}

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