03306a6df3
## What changes were proposed in this pull request? This PR continues to break down a big large file into smaller files. See https://github.com/apache/spark/pull/23021. It targets to follow https://github.com/numpy/numpy/tree/master/numpy. Basically this PR proposes to break down `pyspark/tests.py` into ...: ``` pyspark ... ├── testing ... │ └── utils.py ├── tests │ ├── __init__.py │ ├── test_appsubmit.py │ ├── test_broadcast.py │ ├── test_conf.py │ ├── test_context.py │ ├── test_daemon.py │ ├── test_join.py │ ├── test_profiler.py │ ├── test_rdd.py │ ├── test_readwrite.py │ ├── test_serializers.py │ ├── test_shuffle.py │ ├── test_taskcontext.py │ ├── test_util.py │ └── test_worker.py ... ``` ## How was this patch tested? Existing tests should cover. `cd python` and .`/run-tests-with-coverage`. Manually checked they are actually being ran. Each test (not officially) can be ran via: ```bash SPARK_TESTING=1 ./bin/pyspark pyspark.tests.test_context ``` Note that if you're using Mac and Python 3, you might have to `OBJC_DISABLE_INITIALIZE_FORK_SAFETY=YES`. Closes #23033 from HyukjinKwon/SPARK-26036. Authored-by: hyukjinkwon <gurwls223@apache.org> Signed-off-by: hyukjinkwon <gurwls223@apache.org>
322 lines
12 KiB
Python
322 lines
12 KiB
Python
#
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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 os
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import unittest
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from pyspark import SparkConf, SparkContext
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from pyspark.sql import SparkSession, SQLContext, Row
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from pyspark.testing.sqlutils import ReusedSQLTestCase
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from pyspark.testing.utils import PySparkTestCase
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class SparkSessionTests(ReusedSQLTestCase):
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def test_sqlcontext_reuses_sparksession(self):
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sqlContext1 = SQLContext(self.sc)
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sqlContext2 = SQLContext(self.sc)
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self.assertTrue(sqlContext1.sparkSession is sqlContext2.sparkSession)
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class SparkSessionTests1(ReusedSQLTestCase):
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# We can't include this test into SQLTests because we will stop class's SparkContext and cause
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# other tests failed.
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def test_sparksession_with_stopped_sparkcontext(self):
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self.sc.stop()
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sc = SparkContext('local[4]', self.sc.appName)
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spark = SparkSession.builder.getOrCreate()
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try:
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df = spark.createDataFrame([(1, 2)], ["c", "c"])
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df.collect()
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finally:
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spark.stop()
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sc.stop()
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class SparkSessionTests2(PySparkTestCase):
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# This test is separate because it's closely related with session's start and stop.
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# See SPARK-23228.
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def test_set_jvm_default_session(self):
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spark = SparkSession.builder.getOrCreate()
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try:
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self.assertTrue(spark._jvm.SparkSession.getDefaultSession().isDefined())
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finally:
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spark.stop()
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self.assertTrue(spark._jvm.SparkSession.getDefaultSession().isEmpty())
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def test_jvm_default_session_already_set(self):
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# Here, we assume there is the default session already set in JVM.
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jsession = self.sc._jvm.SparkSession(self.sc._jsc.sc())
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self.sc._jvm.SparkSession.setDefaultSession(jsession)
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spark = SparkSession.builder.getOrCreate()
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try:
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self.assertTrue(spark._jvm.SparkSession.getDefaultSession().isDefined())
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# The session should be the same with the exiting one.
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self.assertTrue(jsession.equals(spark._jvm.SparkSession.getDefaultSession().get()))
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finally:
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spark.stop()
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class SparkSessionTests3(unittest.TestCase):
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def test_active_session(self):
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spark = SparkSession.builder \
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.master("local") \
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.getOrCreate()
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try:
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activeSession = SparkSession.getActiveSession()
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df = activeSession.createDataFrame([(1, 'Alice')], ['age', 'name'])
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self.assertEqual(df.collect(), [Row(age=1, name=u'Alice')])
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finally:
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spark.stop()
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def test_get_active_session_when_no_active_session(self):
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active = SparkSession.getActiveSession()
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self.assertEqual(active, None)
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spark = SparkSession.builder \
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.master("local") \
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.getOrCreate()
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active = SparkSession.getActiveSession()
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self.assertEqual(active, spark)
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spark.stop()
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active = SparkSession.getActiveSession()
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self.assertEqual(active, None)
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def test_SparkSession(self):
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spark = SparkSession.builder \
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.master("local") \
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.config("some-config", "v2") \
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.getOrCreate()
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try:
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self.assertEqual(spark.conf.get("some-config"), "v2")
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self.assertEqual(spark.sparkContext._conf.get("some-config"), "v2")
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self.assertEqual(spark.version, spark.sparkContext.version)
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spark.sql("CREATE DATABASE test_db")
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spark.catalog.setCurrentDatabase("test_db")
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self.assertEqual(spark.catalog.currentDatabase(), "test_db")
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spark.sql("CREATE TABLE table1 (name STRING, age INT) USING parquet")
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self.assertEqual(spark.table("table1").columns, ['name', 'age'])
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self.assertEqual(spark.range(3).count(), 3)
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finally:
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spark.stop()
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def test_global_default_session(self):
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spark = SparkSession.builder \
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.master("local") \
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.getOrCreate()
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try:
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self.assertEqual(SparkSession.builder.getOrCreate(), spark)
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finally:
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spark.stop()
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def test_default_and_active_session(self):
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spark = SparkSession.builder \
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.master("local") \
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.getOrCreate()
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activeSession = spark._jvm.SparkSession.getActiveSession()
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defaultSession = spark._jvm.SparkSession.getDefaultSession()
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try:
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self.assertEqual(activeSession, defaultSession)
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finally:
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spark.stop()
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def test_config_option_propagated_to_existing_session(self):
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session1 = SparkSession.builder \
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.master("local") \
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.config("spark-config1", "a") \
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.getOrCreate()
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self.assertEqual(session1.conf.get("spark-config1"), "a")
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session2 = SparkSession.builder \
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.config("spark-config1", "b") \
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.getOrCreate()
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try:
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self.assertEqual(session1, session2)
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self.assertEqual(session1.conf.get("spark-config1"), "b")
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finally:
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session1.stop()
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def test_new_session(self):
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session = SparkSession.builder \
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.master("local") \
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.getOrCreate()
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newSession = session.newSession()
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try:
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self.assertNotEqual(session, newSession)
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finally:
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session.stop()
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newSession.stop()
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def test_create_new_session_if_old_session_stopped(self):
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session = SparkSession.builder \
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.master("local") \
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.getOrCreate()
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session.stop()
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newSession = SparkSession.builder \
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.master("local") \
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.getOrCreate()
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try:
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self.assertNotEqual(session, newSession)
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finally:
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newSession.stop()
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def test_active_session_with_None_and_not_None_context(self):
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from pyspark.context import SparkContext
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from pyspark.conf import SparkConf
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sc = None
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session = None
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try:
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sc = SparkContext._active_spark_context
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self.assertEqual(sc, None)
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activeSession = SparkSession.getActiveSession()
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self.assertEqual(activeSession, None)
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sparkConf = SparkConf()
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sc = SparkContext.getOrCreate(sparkConf)
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activeSession = sc._jvm.SparkSession.getActiveSession()
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self.assertFalse(activeSession.isDefined())
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session = SparkSession(sc)
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activeSession = sc._jvm.SparkSession.getActiveSession()
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self.assertTrue(activeSession.isDefined())
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activeSession2 = SparkSession.getActiveSession()
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self.assertNotEqual(activeSession2, None)
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finally:
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if session is not None:
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session.stop()
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if sc is not None:
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sc.stop()
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class SparkSessionTests4(ReusedSQLTestCase):
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def test_get_active_session_after_create_dataframe(self):
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session2 = None
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try:
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activeSession1 = SparkSession.getActiveSession()
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session1 = self.spark
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self.assertEqual(session1, activeSession1)
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session2 = self.spark.newSession()
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activeSession2 = SparkSession.getActiveSession()
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self.assertEqual(session1, activeSession2)
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self.assertNotEqual(session2, activeSession2)
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session2.createDataFrame([(1, 'Alice')], ['age', 'name'])
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activeSession3 = SparkSession.getActiveSession()
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self.assertEqual(session2, activeSession3)
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session1.createDataFrame([(1, 'Alice')], ['age', 'name'])
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activeSession4 = SparkSession.getActiveSession()
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self.assertEqual(session1, activeSession4)
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finally:
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if session2 is not None:
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session2.stop()
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class SparkSessionBuilderTests(unittest.TestCase):
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def test_create_spark_context_first_then_spark_session(self):
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sc = None
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session = None
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try:
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conf = SparkConf().set("key1", "value1")
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sc = SparkContext('local[4]', "SessionBuilderTests", conf=conf)
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session = SparkSession.builder.config("key2", "value2").getOrCreate()
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self.assertEqual(session.conf.get("key1"), "value1")
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self.assertEqual(session.conf.get("key2"), "value2")
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self.assertEqual(session.sparkContext, sc)
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self.assertFalse(sc.getConf().contains("key2"))
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self.assertEqual(sc.getConf().get("key1"), "value1")
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finally:
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if session is not None:
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session.stop()
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if sc is not None:
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sc.stop()
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def test_another_spark_session(self):
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session1 = None
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session2 = None
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try:
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session1 = SparkSession.builder.config("key1", "value1").getOrCreate()
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session2 = SparkSession.builder.config("key2", "value2").getOrCreate()
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self.assertEqual(session1.conf.get("key1"), "value1")
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self.assertEqual(session2.conf.get("key1"), "value1")
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self.assertEqual(session1.conf.get("key2"), "value2")
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self.assertEqual(session2.conf.get("key2"), "value2")
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self.assertEqual(session1.sparkContext, session2.sparkContext)
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self.assertEqual(session1.sparkContext.getConf().get("key1"), "value1")
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self.assertFalse(session1.sparkContext.getConf().contains("key2"))
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finally:
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if session1 is not None:
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session1.stop()
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if session2 is not None:
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session2.stop()
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class SparkExtensionsTest(unittest.TestCase):
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# These tests are separate because it uses 'spark.sql.extensions' which is
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# static and immutable. This can't be set or unset, for example, via `spark.conf`.
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@classmethod
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def setUpClass(cls):
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import glob
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from pyspark.find_spark_home import _find_spark_home
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SPARK_HOME = _find_spark_home()
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filename_pattern = (
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"sql/core/target/scala-*/test-classes/org/apache/spark/sql/"
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"SparkSessionExtensionSuite.class")
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if not glob.glob(os.path.join(SPARK_HOME, filename_pattern)):
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raise unittest.SkipTest(
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"'org.apache.spark.sql.SparkSessionExtensionSuite' is not "
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"available. Will skip the related tests.")
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# Note that 'spark.sql.extensions' is a static immutable configuration.
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cls.spark = SparkSession.builder \
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.master("local[4]") \
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.appName(cls.__name__) \
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.config(
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"spark.sql.extensions",
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"org.apache.spark.sql.MyExtensions") \
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.getOrCreate()
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@classmethod
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def tearDownClass(cls):
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cls.spark.stop()
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def test_use_custom_class_for_extensions(self):
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self.assertTrue(
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self.spark._jsparkSession.sessionState().planner().strategies().contains(
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self.spark._jvm.org.apache.spark.sql.MySparkStrategy(self.spark._jsparkSession)),
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"MySparkStrategy not found in active planner strategies")
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self.assertTrue(
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self.spark._jsparkSession.sessionState().analyzer().extendedResolutionRules().contains(
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self.spark._jvm.org.apache.spark.sql.MyRule(self.spark._jsparkSession)),
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"MyRule not found in extended resolution rules")
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if __name__ == "__main__":
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from pyspark.sql.tests.test_session import *
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try:
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import xmlrunner
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testRunner = xmlrunner.XMLTestRunner(output='target/test-reports')
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except ImportError:
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testRunner = None
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unittest.main(testRunner=testRunner, verbosity=2)
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