pysqlformatter 0.0.7

A formatter for Python code and SparkSQL queries.

pyspark-sql-formatter

A formatter for Pyspark code with SQL queries. It relies on Python formatter yapf and SparkSQL formatter sparksqlformatter, both working indepdendently. User can specify configurations for either formatter separately.

The queries should be in the form spark.sql(query) or spark.sql('xxx'). Cases like spark.sql('xxx'.format()), spark.sql('xxx'.replace()) may raise Exceptions.

• pyspark-sql-formatter
• Installation
  • Install using pip
  • Install from source
• Compatibility
• Usage
  • Use as command-line tool
  • Use as Python library

Installation

Install using pip

pip install pysqlformatter

Install from source

1. Download source code.
2. Navigate to the source code directory.
3. Do python setup.py install or pip install ..

Compatibility

Supports Python 2.7 and 3.6+.

Usage

pysqlformatter can be used as either a command-line tool or a Python library.

Use as command-line tool

usage: pysqlformatter [-h] [-f FILES [FILES ...]] [-i] [--query-names QUERY_NAMES [QUERY_NAMES ...]] [--python-style PYTHON_STYLE] [--sparksql-style SPARKSQL_CONFIG]

Formatter for Pyspark code and SparkSQL queries.

optional arguments:
  -h, --help            show this help message and exit
  -f FILES [FILES ...], --files FILES [FILES ...]
                        Paths to files to format.
  -i, --in-place        Format the files in place.
  --python-style PYTHON_STYLE
                        Style for Python formatting, interface to https://github.com/google/yapf.
  --sparksql-style SPARKSQL_CONFIG
                        Style for SparkSQL formatting, interface to https://github.com/largecats/sparksql-formatter.
  --query-names QUERY_NAMES [QUERY_NAMES ...]
                        String variables with names containing these strings will be formatted as SQL queries. Default to 'query'.

E.g.,

$ pysqlformatter -f <path_to_file> --python-style='pep8' --sparksql-style="{'reservedKeywordUppercase': False}" --query-names query

Or using config files:

$ pysqlformatter -f <path_to_file> --python-style="<path_to_python_style_config_file>" --sparksql-style="<path_to_sparksql_config_file>" --query-names query

Use as Python library

Call pysqlformatter.api.format_script() to format script passed as string:

>>> from pysqlformatter import api
>>> script = '''query = 'select * from t0'\nspark.sql(query)'''
>>> api.format_script(script=script, pythonStyle='pep8', sparksqlConfig=sparksqlConfig(), queryNames=['query'])
"query = '''\nSELECT\n    *\nFROM\n    t0\n'''\nspark.sql(query)\n"

Call pysqlformatter.api.format_file() to format script in file:

>>> from pysqlformatter import api
>>> api.format_file(filePath=<path_to_file>, pythonStyle='pep8', sparksqlConfig=sparksqlConfig(), queryNames=['query'], inPlace=False)
...