path: root/examples/src/main/python/ml/sql_transformer.py

#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements.  See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License.  You may obtain a copy of the License at
#
#    http://www.apache.org/licenses/LICENSE-2.0
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# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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from __future__ import print_function

from pyspark import SparkContext
# $example on$
from pyspark.ml.feature import SQLTransformer
# $example off$
from pyspark.sql import SQLContext

if __name__ == "__main__":
    sc = SparkContext(appName="SQLTransformerExample")
    sqlContext = SQLContext(sc)

    # $example on$
    df = sqlContext.createDataFrame([
        (0, 1.0, 3.0),
        (2, 2.0, 5.0)
    ], ["id", "v1", "v2"])
    sqlTrans = SQLTransformer(
        statement="SELECT *, (v1 + v2) AS v3, (v1 * v2) AS v4 FROM __THIS__")
    sqlTrans.transform(df).show()
    # $example off$

    sc.stop()