Po-Chuan Hsieh
f19c30df80
SQLFrame implements the PySpark DataFrame API in order to enable running transformation pipelines directly on database engines - no Spark clusters or dependencies required.
28 lines
925 B
Makefile
28 lines
925 B
Makefile
PORTNAME= sqlframe
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PORTVERSION= 3.24.1
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CATEGORIES= databases python
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MASTER_SITES= PYPI
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PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
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MAINTAINER= sunpoet@FreeBSD.org
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COMMENT= Turn PySpark Into a Universal DataFrame API
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WWW= https://sqlframe.readthedocs.io/en/stable/ \
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https://github.com/eakmanrq/sqlframe
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LICENSE= MIT
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LICENSE_FILE= ${WRKSRC}/LICENSE
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BUILD_DEPENDS= ${PYTHON_PKGNAMEPREFIX}setuptools>=0:devel/py-setuptools@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}setuptools-scm>=0:devel/py-setuptools-scm@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}wheel>=0:devel/py-wheel@${PY_FLAVOR}
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RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}prettytable>=0<4:devel/py-prettytable@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}sqlglot>=24.0.0:databases/py-sqlglot@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}typing-extensions>=0:devel/py-typing-extensions@${PY_FLAVOR}
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USES= python
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USE_PYTHON= autoplist concurrent pep517
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NO_ARCH= yes
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.include <bsd.port.mk>
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