blob: 68a67ef5c0e1a961cb497efeb1e8ac7d1f22595d [file] [log] [blame]
#
# 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
#
# Unless required by applicable law or agreed to in writing, software
# 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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# limitations under the License.
#
- case: readWriterOptions
main: |
from pyspark.sql import SparkSession
spark = SparkSession.builder.getOrCreate()
spark.read.option("foo", 1)
spark.createDataFrame([(1, 2)], ["foo", "bar"]).write.option("bar", True)
spark.read.load(foo=True)
spark.read.load(foo=["a"]) # E: Argument "foo" to "load" of "DataFrameReader" has incompatible type "list[str]"; expected "bool | float | int | str | None" [arg-type]
spark.read.option("foo", (1, )) # E: Argument 2 to "option" of "DataFrameReader" has incompatible type "tuple[int]"; expected "bool | float | int | str | None" [arg-type]
- case: readStreamOptions
main: |
from pyspark.sql import SparkSession
spark = SparkSession.builder.getOrCreate()
spark.read.option("foo", True).option("foo", 1).option("foo", 1.0).option("foo", "1").option("foo", None)
spark.readStream.option("foo", True).option("foo", 1).option("foo", 1.0).option("foo", "1").option("foo", None)
spark.read.options(foo=True, bar=1).options(foo=1.0, bar="1", baz=None)
spark.readStream.options(foo=True, bar=1).options(foo=1.0, bar="1", baz=None)
spark.readStream.load(foo=True)