70 lines
1.7 KiB
Nix
70 lines
1.7 KiB
Nix
{
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lib,
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buildPythonPackage,
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fetchPypi,
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numpy,
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pandas,
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py4j,
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pyarrow,
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pythonOlder,
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}:
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buildPythonPackage rec {
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pname = "pyspark";
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version = "3.5.1";
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format = "setuptools";
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disabled = pythonOlder "3.7";
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src = fetchPypi {
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inherit pname version;
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hash = "sha256-3WVp5Uc2Xq3E+Ie/V/FT5NWCpoxLSQ3kddVbmYFmSRA=";
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};
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# pypandoc is broken with pandoc2, so we just lose docs.
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postPatch = ''
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sed -i "s/'pypandoc'//" setup.py
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substituteInPlace setup.py \
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--replace py4j== 'py4j>='
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'';
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postFixup = ''
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# find_python_home.py has been wrapped as a shell script
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substituteInPlace $out/bin/find-spark-home \
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--replace 'export SPARK_HOME=$($PYSPARK_DRIVER_PYTHON "$FIND_SPARK_HOME_PYTHON_SCRIPT")' \
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'export SPARK_HOME=$("$FIND_SPARK_HOME_PYTHON_SCRIPT")'
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# patch PYTHONPATH in pyspark so that it properly looks at SPARK_HOME
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substituteInPlace $out/bin/pyspark \
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--replace 'export PYTHONPATH="''${SPARK_HOME}/python/:$PYTHONPATH"' \
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'export PYTHONPATH="''${SPARK_HOME}/..:''${SPARK_HOME}/python/:$PYTHONPATH"'
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'';
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propagatedBuildInputs = [ py4j ];
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passthru.optional-dependencies = {
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ml = [ numpy ];
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mllib = [ numpy ];
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sql = [
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numpy
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pandas
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pyarrow
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];
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};
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# Tests assume running spark instance
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doCheck = false;
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pythonImportsCheck = [ "pyspark" ];
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meta = with lib; {
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description = "Python bindings for Apache Spark";
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homepage = "https://github.com/apache/spark/tree/master/python";
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sourceProvenance = with sourceTypes; [
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fromSource
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binaryBytecode
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];
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license = licenses.asl20;
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maintainers = with maintainers; [ shlevy ];
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};
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}
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