2018-11-14 01:51:11 -05:00
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#
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# Licensed to the Apache Software Foundation (ASF) under one or more
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# contributor license agreements. See the NOTICE file distributed with
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# this work for additional information regarding copyright ownership.
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# The ASF licenses this file to You under the Apache License, Version 2.0
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# (the "License"); you may not use this file except in compliance with
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# the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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import shutil
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import tempfile
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from pyspark.sql import Row
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2020-08-30 22:23:31 -04:00
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from pyspark.sql.types import IntegerType, StructField, StructType, LongType, StringType
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2018-11-14 01:51:11 -05:00
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from pyspark.testing.sqlutils import ReusedSQLTestCase
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class DataSourcesTests(ReusedSQLTestCase):
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def test_linesep_text(self):
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df = self.spark.read.text("python/test_support/sql/ages_newlines.csv", lineSep=",")
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expected = [Row(value=u'Joe'), Row(value=u'20'), Row(value=u'"Hi'),
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Row(value=u'\nI am Jeo"\nTom'), Row(value=u'30'),
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Row(value=u'"My name is Tom"\nHyukjin'), Row(value=u'25'),
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Row(value=u'"I am Hyukjin\n\nI love Spark!"\n')]
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self.assertEqual(df.collect(), expected)
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tpath = tempfile.mkdtemp()
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shutil.rmtree(tpath)
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try:
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df.write.text(tpath, lineSep="!")
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expected = [Row(value=u'Joe!20!"Hi!'), Row(value=u'I am Jeo"'),
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Row(value=u'Tom!30!"My name is Tom"'),
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Row(value=u'Hyukjin!25!"I am Hyukjin'),
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Row(value=u''), Row(value=u'I love Spark!"'),
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Row(value=u'!')]
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readback = self.spark.read.text(tpath)
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self.assertEqual(readback.collect(), expected)
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finally:
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shutil.rmtree(tpath)
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def test_multiline_json(self):
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people1 = self.spark.read.json("python/test_support/sql/people.json")
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people_array = self.spark.read.json("python/test_support/sql/people_array.json",
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multiLine=True)
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self.assertEqual(people1.collect(), people_array.collect())
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def test_encoding_json(self):
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people_array = self.spark.read\
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.json("python/test_support/sql/people_array_utf16le.json",
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multiLine=True, encoding="UTF-16LE")
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expected = [Row(age=30, name=u'Andy'), Row(age=19, name=u'Justin')]
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self.assertEqual(people_array.collect(), expected)
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def test_linesep_json(self):
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df = self.spark.read.json("python/test_support/sql/people.json", lineSep=",")
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expected = [Row(_corrupt_record=None, name=u'Michael'),
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Row(_corrupt_record=u' "age":30}\n{"name":"Justin"', name=None),
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Row(_corrupt_record=u' "age":19}\n', name=None)]
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self.assertEqual(df.collect(), expected)
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tpath = tempfile.mkdtemp()
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shutil.rmtree(tpath)
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try:
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df = self.spark.read.json("python/test_support/sql/people.json")
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df.write.json(tpath, lineSep="!!")
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readback = self.spark.read.json(tpath, lineSep="!!")
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self.assertEqual(readback.collect(), df.collect())
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finally:
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shutil.rmtree(tpath)
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def test_multiline_csv(self):
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ages_newlines = self.spark.read.csv(
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"python/test_support/sql/ages_newlines.csv", multiLine=True)
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expected = [Row(_c0=u'Joe', _c1=u'20', _c2=u'Hi,\nI am Jeo'),
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Row(_c0=u'Tom', _c1=u'30', _c2=u'My name is Tom'),
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Row(_c0=u'Hyukjin', _c1=u'25', _c2=u'I am Hyukjin\n\nI love Spark!')]
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self.assertEqual(ages_newlines.collect(), expected)
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def test_ignorewhitespace_csv(self):
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tmpPath = tempfile.mkdtemp()
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shutil.rmtree(tmpPath)
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self.spark.createDataFrame([[" a", "b ", " c "]]).write.csv(
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tmpPath,
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ignoreLeadingWhiteSpace=False,
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ignoreTrailingWhiteSpace=False)
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expected = [Row(value=u' a,b , c ')]
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readback = self.spark.read.text(tmpPath)
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self.assertEqual(readback.collect(), expected)
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shutil.rmtree(tmpPath)
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def test_read_multiple_orc_file(self):
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df = self.spark.read.orc(["python/test_support/sql/orc_partitioned/b=0/c=0",
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"python/test_support/sql/orc_partitioned/b=1/c=1"])
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self.assertEqual(2, df.count())
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def test_read_text_file_list(self):
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df = self.spark.read.text(['python/test_support/sql/text-test.txt',
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'python/test_support/sql/text-test.txt'])
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count = df.count()
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self.assertEquals(count, 4)
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def test_json_sampling_ratio(self):
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rdd = self.spark.sparkContext.range(0, 100, 1, 1) \
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.map(lambda x: '{"a":0.1}' if x == 1 else '{"a":%s}' % str(x))
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schema = self.spark.read.option('inferSchema', True) \
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.option('samplingRatio', 0.5) \
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.json(rdd).schema
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self.assertEquals(schema, StructType([StructField("a", LongType(), True)]))
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def test_csv_sampling_ratio(self):
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rdd = self.spark.sparkContext.range(0, 100, 1, 1) \
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.map(lambda x: '0.1' if x == 1 else str(x))
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schema = self.spark.read.option('inferSchema', True)\
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.csv(rdd, samplingRatio=0.5).schema
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self.assertEquals(schema, StructType([StructField("_c0", IntegerType(), True)]))
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def test_checking_csv_header(self):
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path = tempfile.mkdtemp()
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shutil.rmtree(path)
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try:
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self.spark.createDataFrame([[1, 1000], [2000, 2]])\
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.toDF('f1', 'f2').write.option("header", "true").csv(path)
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schema = StructType([
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StructField('f2', IntegerType(), nullable=True),
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StructField('f1', IntegerType(), nullable=True)])
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df = self.spark.read.option('header', 'true').schema(schema)\
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.csv(path, enforceSchema=False)
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self.assertRaisesRegexp(
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Exception,
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"CSV header does not conform to the schema",
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lambda: df.collect())
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finally:
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shutil.rmtree(path)
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def test_ignore_column_of_all_nulls(self):
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path = tempfile.mkdtemp()
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shutil.rmtree(path)
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try:
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df = self.spark.createDataFrame([["""{"a":null, "b":1, "c":3.0}"""],
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["""{"a":null, "b":null, "c":"string"}"""],
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["""{"a":null, "b":null, "c":null}"""]])
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df.write.text(path)
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schema = StructType([
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StructField('b', LongType(), nullable=True),
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StructField('c', StringType(), nullable=True)])
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readback = self.spark.read.json(path, dropFieldIfAllNull=True)
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self.assertEquals(readback.schema, schema)
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finally:
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shutil.rmtree(path)
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if __name__ == "__main__":
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import unittest
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2020-08-08 11:51:57 -04:00
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from pyspark.sql.tests.test_datasources import * # noqa: F401
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2018-11-14 01:51:11 -05:00
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try:
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import xmlrunner
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2019-06-23 20:58:17 -04:00
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testRunner = xmlrunner.XMLTestRunner(output='target/test-reports', verbosity=2)
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2018-11-14 01:51:11 -05:00
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except ImportError:
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2018-11-14 23:30:52 -05:00
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testRunner = None
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unittest.main(testRunner=testRunner, verbosity=2)
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