class SnappyProgrammingGuideTests(unittest.TestCase):
timeout = 10 # seconds
duration = .5
@classmethod
def setUpClass(cls):
class_name = cls.__name__
conf = SparkConf().set("spark.default.parallelism", 1)
cls.sc = SparkContext(appName=class_name, conf=conf)
cls.sc.setCheckpointDir("/tmp")
@classmethod
def tearDownClass(cls):
cls.sc.stop()
# Clean up in the JVM just in case there has been some issues in Python API
try:
jSparkContextOption = SparkContext._jvm.SparkContext.get()
if jSparkContextOption.nonEmpty():
jSparkContextOption.get().stop()
except:
pass
def setUp(self):
self.ssc = SnappyStreamingContext(self.sc, self.duration)
def tearDown(self):
if self.ssc is not None:
self.ssc.stop(False)
# Clean up in the JVM just in case there has been some issues in Python API
try:
jStreamingContextOption = SnappyStreamingContext._jvm.SparkContext.getActive()
if jStreamingContextOption.nonEmpty():
jStreamingContextOption.get().stop(False)
except:
pass
def test_schema_dstream(self):
def rddList(start, end):
return self.sc.parallelize(range(start, end)).map(lambda i: (i, "Text" + str(i)))
def saveFunction(df):
df.write.format("column").mode("append").saveAsTable("streamingExample")
schema = StructType([StructField("loc", IntegerType()),
StructField("text", StringType())])
snsc = SnappyStreamingContext(self.sc, 1)
dstream = snsc.queueStream([rddList(1, 10), rddList(10, 20), rddList(20, 30)])
snsc._snappycontext.dropTable("streamingExample", True)
snsc._snappycontext.createTable("streamingExample", "column", schema)
schemadstream = snsc.createSchemaDStream(dstream, schema)
schemadstream.foreachDataFrame(lambda df: saveFunction(df))
snsc.start()
time.sleep(1)
snsc.sql("select count(*) from streamingExample").show()
def setup():
conf = SparkConf().set("spark.default.parallelism", 1)
sc = SparkContext(conf=conf)
ssc = SnappyStreamingContext(sc, 0.5)
dstream = ssc.textFileStream(inputd).map(lambda x: (x, 1))
wc = dstream.updateStateByKey(updater)
wc.map(lambda x: "%s,%d" % x).saveAsTextFiles(outputd + "test")
wc.checkpoint(.5)
self.setupCalled = True
return ssc
def setup():
conf = SparkConf().set("spark.default.parallelism", 1)
sc = SparkContext(conf=conf)
ssc = SnappyStreamingContext(sc, 0.5)
# A function that cannot be serialized
def process(time, rdd):
sc.parallelize(range(1, 10))
ssc.textFileStream(inputd).foreachRDD(process)
return ssc
def test_text_file_stream(self):
d = tempfile.mkdtemp()
self.ssc = SnappyStreamingContext(self.sc, self.duration)
dstream2 = self.ssc.textFileStream(d).map(int)
result = self._collect(dstream2, 2, block=False)
self.ssc.start()
for name in ('a', 'b'):
time.sleep(1)
with open(os.path.join(d, name), "w") as f:
f.writelines(["%d\n" % i for i in range(10)])
self.wait_for(result, 2)
self.assertEqual([list(range(10)), list(range(10))], result)
def test_binary_records_stream(self):
d = tempfile.mkdtemp()
self.ssc = SnappyStreamingContext(self.sc, self.duration)
dstream = self.ssc.binaryRecordsStream(d, 10).map(
lambda v: struct.unpack("10b", bytes(v)))
result = self._collect(dstream, 2, block=False)
self.ssc.start()
for name in ('a', 'b'):
time.sleep(1)
with open(os.path.join(d, name), "wb") as f:
f.write(bytearray(range(10)))
self.wait_for(result, 2)
self.assertEqual([list(range(10)), list(range(10))], [list(v[0]) for v in result])
class SnappyWindowFunctionTests(WindowFunctionTests):
def setUp(self):
self.ssc = SnappyStreamingContext(self.sc, self.duration)
def tearDown(self):
if self.ssc is not None:
self.ssc.stop(False)
# Clean up in the JVM just in case there has been some issues in Python API
try:
jStreamingContextOption = SnappyStreamingContext._jvm.SparkContext.getActive()
if jStreamingContextOption.nonEmpty():
jStreamingContextOption.get().stop(False)
except:
pass
def test_schema_dstream(self):
def rddList(start, end):
return self.sc.parallelize(range(
start, end)).map(lambda i: (i, "Text" + str(i)))
def saveFunction(df):
df.write.format("column").mode("append").saveAsTable(
"streamingExample")
schema = StructType([
StructField("loc", IntegerType()),
StructField("text", StringType())
])
snsc = SnappyStreamingContext(self.sc, 1)
dstream = snsc.queueStream(
[rddList(1, 10), rddList(10, 20),
rddList(20, 30)])
snsc._snappycontext.dropTable("streamingExample", True)
snsc._snappycontext.createTable("streamingExample", "column", schema)
schemadstream = snsc.createSchemaDStream(dstream, schema)
schemadstream.foreachDataFrame(lambda df: saveFunction(df))
snsc.start()
time.sleep(1)
snsc.sql("select count(*) from streamingExample").show()
def test_transform_function_serializer_failure(self):
inputd = tempfile.mkdtemp()
self.cpd = tempfile.mkdtemp("test_transform_function_serializer_failure")
def setup():
conf = SparkConf().set("spark.default.parallelism", 1)
sc = SparkContext(conf=conf)
ssc = SnappyStreamingContext(sc, 0.5)
# A function that cannot be serialized
def process(time, rdd):
sc.parallelize(range(1, 10))
ssc.textFileStream(inputd).foreachRDD(process)
return ssc
self.ssc = SnappyStreamingContext.getOrCreate(self.cpd, setup)
try:
self.ssc.start()
except:
import traceback
failure = traceback.format_exc()
self.assertTrue(
"It appears that you are attempting to reference SparkContext" in failure)
return
self.fail("using SparkContext in process should fail because it's not Serializable")
def test_get_active_or_create(self):
# Test StreamingContext.getActiveOrCreate() without checkpoint data
# See CheckpointTests for tests with checkpoint data
self.ssc = None
self.assertEqual(SnappyStreamingContext.getActive(), None)
def setupFunc():
ssc = SnappyStreamingContext(self.sc, self.duration)
ssc.queueStream([[1]]).foreachRDD(lambda rdd: rdd.count())
self.setupCalled = True
return ssc
# Verify that getActiveOrCreate() (w/o checkpoint) calls setupFunc when no context is active
self.setupCalled = False
self.ssc = SnappyStreamingContext.getActiveOrCreate(None, setupFunc)
self.assertTrue(self.setupCalled)
# Verify that getActiveOrCreate() retuns active context and does not call the setupFunc
self.ssc.start()
self.setupCalled = False
self.assertEqual(
SnappyStreamingContext.getActiveOrCreate(None, setupFunc),
self.ssc)
self.assertFalse(self.setupCalled)
# Verify that getActiveOrCreate() calls setupFunc after active context is stopped
self.ssc.stop(False)
self.setupCalled = False
self.ssc = SnappyStreamingContext.getActiveOrCreate(None, setupFunc)
self.assertTrue(self.setupCalled)
# Verify that if the Java context is stopped, then getActive() returns None
self.ssc = SnappyStreamingContext(self.sc, self.duration)
self.ssc.queueStream([[1]]).foreachRDD(lambda rdd: rdd.count())
self.ssc.start()
self.assertEqual(SnappyStreamingContext.getActive(), self.ssc)
self.ssc._jssc.stop(False)
self.setupCalled = False
self.ssc = SnappyStreamingContext.getActiveOrCreate(None, setupFunc)
self.assertTrue(self.setupCalled)
def test_get_active(self):
self.assertEqual(SnappyStreamingContext.getActive(), None)
# Verify that getActive() returns the active context
self.ssc.queueStream([[1]]).foreachRDD(lambda rdd: rdd.count())
self.ssc.start()
self.assertEqual(SnappyStreamingContext.getActive(), self.ssc)
# Verify that getActive() returns None
self.ssc.stop(False)
self.assertEqual(SnappyStreamingContext.getActive(), None)
# Verify that if the Java context is stopped, then getActive() returns None
self.ssc = SnappyStreamingContext(self.sc, self.duration)
self.ssc.queueStream([[1]]).foreachRDD(lambda rdd: rdd.count())
self.ssc.start()
self.assertEqual(SnappyStreamingContext.getActive(), self.ssc)
self.ssc._jssc.stop(False)
self.assertEqual(SnappyStreamingContext.getActive(), None)
def test_get_active_or_create(self):
# Test StreamingContext.getActiveOrCreate() without checkpoint data
# See CheckpointTests for tests with checkpoint data
self.ssc = None
self.assertEqual(SnappyStreamingContext.getActive(), None)
def setupFunc():
ssc = SnappyStreamingContext(self.sc, self.duration)
ssc.queueStream([[1]]).foreachRDD(lambda rdd: rdd.count())
self.setupCalled = True
return ssc
# Verify that getActiveOrCreate() (w/o checkpoint) calls setupFunc when no context is active
self.setupCalled = False
self.ssc = SnappyStreamingContext.getActiveOrCreate(None, setupFunc)
self.assertTrue(self.setupCalled)
# Verify that getActiveOrCreate() retuns active context and does not call the setupFunc
self.ssc.start()
self.setupCalled = False
self.assertEqual(SnappyStreamingContext.getActiveOrCreate(None, setupFunc), self.ssc)
self.assertFalse(self.setupCalled)
# Verify that getActiveOrCreate() calls setupFunc after active context is stopped
self.ssc.stop(False)
self.setupCalled = False
self.ssc = SnappyStreamingContext.getActiveOrCreate(None, setupFunc)
self.assertTrue(self.setupCalled)
# Verify that if the Java context is stopped, then getActive() returns None
self.ssc = SnappyStreamingContext(self.sc, self.duration)
self.ssc.queueStream([[1]]).foreachRDD(lambda rdd: rdd.count())
self.ssc.start()
self.assertEqual(SnappyStreamingContext.getActive(), self.ssc)
self.ssc._jssc.stop(False)
self.setupCalled = False
self.ssc = SnappyStreamingContext.getActiveOrCreate(None, setupFunc)
self.assertTrue(self.setupCalled)
def test_schema_dstream(self):
def rddList(start, end):
return self.sc.parallelize(range(start, end)).map(lambda i: (i, "Text" + str(i)))
def saveFunction(df):
df.write.format("column").mode("append").saveAsTable("streamingExample")
schema = StructType([StructField("loc", IntegerType()),
StructField("text", StringType())])
snsc = SnappyStreamingContext(self.sc, 1)
dstream = snsc.queueStream([rddList(1, 10), rddList(10, 20), rddList(20, 30)])
snsc._snappycontext.dropTable("streamingExample", True)
snsc._snappycontext.createTable("streamingExample", "column", schema)
schemadstream = snsc.createSchemaDStream(dstream, schema)
schemadstream.foreachDataFrame(lambda df: saveFunction(df))
snsc.start()
time.sleep(1)
snsc.sql("select count(*) from streamingExample").show()
def setUp(self):
self.ssc = SnappyStreamingContext(self.sc, self.duration)
def test_get_or_create_and_get_active_or_create(self):
inputd = tempfile.mkdtemp()
outputd = tempfile.mkdtemp() + "/"
def updater(vs, s):
return sum(vs, s or 0)
def setup():
conf = SparkConf().set("spark.default.parallelism", 1)
sc = SparkContext(conf=conf)
ssc = SnappyStreamingContext(sc, 0.5)
dstream = ssc.textFileStream(inputd).map(lambda x: (x, 1))
wc = dstream.updateStateByKey(updater)
wc.map(lambda x: "%s,%d" % x).saveAsTextFiles(outputd + "test")
wc.checkpoint(.5)
self.setupCalled = True
return ssc
# Verify that getOrCreate() calls setup() in absence of checkpoint files
self.cpd = tempfile.mkdtemp("test_streaming_cps")
self.setupCalled = False
self.ssc = SnappyStreamingContext.getOrCreate(self.cpd, setup)
self.assertTrue(self.setupCalled)
self.ssc.start()
def check_output(n):
while not os.listdir(outputd):
time.sleep(0.01)
time.sleep(1) # make sure mtime is larger than the previous one
with open(os.path.join(inputd, str(n)), 'w') as f:
f.writelines(["%d\n" % i for i in range(10)])
while True:
p = os.path.join(outputd, max(os.listdir(outputd)))
if '_SUCCESS' not in os.listdir(p):
# not finished
time.sleep(0.01)
continue
ordd = self.ssc.sparkContext.textFile(p).map(lambda line: line.split(","))
d = ordd.values().map(int).collect()
if not d:
time.sleep(0.01)
continue
self.assertEqual(10, len(d))
s = set(d)
self.assertEqual(1, len(s))
m = s.pop()
if n > m:
continue
self.assertEqual(n, m)
break
check_output(1)
check_output(2)
# Verify the getOrCreate() recovers from checkpoint files
self.ssc.stop(True, True)
time.sleep(1)
self.setupCalled = False
self.ssc = SnappyStreamingContext.getOrCreate(self.cpd, setup)
self.assertFalse(self.setupCalled)
self.ssc.start()
check_output(3)
# Verify that getOrCreate() uses existing SparkContext
self.ssc.stop(True, True)
time.sleep(1)
self.sc = SparkContext(conf=SparkConf())
self.setupCalled = False
self.ssc = SnappyStreamingContext.getOrCreate(self.cpd, setup)
self.assertFalse(self.setupCalled)
self.assertTrue(self.ssc.sparkContext == self.sc)
# Verify the getActiveOrCreate() recovers from checkpoint files
self.ssc.stop(True, True)
time.sleep(1)
self.setupCalled = False
self.ssc = SnappyStreamingContext.getActiveOrCreate(self.cpd, setup)
self.assertFalse(self.setupCalled)
self.ssc.start()
check_output(4)
# Verify that getActiveOrCreate() returns active context
self.setupCalled = False
self.assertEqual(SnappyStreamingContext.getActiveOrCreate(self.cpd, setup), self.ssc)
self.assertFalse(self.setupCalled)
# Verify that getActiveOrCreate() uses existing SparkContext
self.ssc.stop(True, True)
time.sleep(1)
self.sc = SparkContext(conf=SparkConf())
self.setupCalled = False
self.ssc = SnappyStreamingContext.getActiveOrCreate(self.cpd, setup)
self.assertFalse(self.setupCalled)
self.assertTrue(self.ssc.sparkContext == self.sc)
# Verify that getActiveOrCreate() calls setup() in absence of checkpoint files
self.ssc.stop(True, True)
shutil.rmtree(self.cpd) # delete checkpoint directory
time.sleep(1)
self.setupCalled = False
self.ssc = SnappyStreamingContext.getActiveOrCreate(self.cpd, setup)
self.assertTrue(self.setupCalled)
# Stop everything
self.ssc.stop(True, True)
def setupFunc():
ssc = SnappyStreamingContext(self.sc, self.duration)
ssc.queueStream([[1]]).foreachRDD(lambda rdd: rdd.count())
self.setupCalled = True
return ssc
class SnappyStreamingContextTests(StreamingContextTests):
def setUp(self):
self.ssc = SnappyStreamingContext(self.sc, self.duration)
def tearDown(self):
if self.ssc is not None:
self.ssc.stop(False)
# Clean up in the JVM just in case there has been some issues in Python API
try:
jStreamingContextOption = SnappyStreamingContext._jvm.SparkContext.getActive()
if jStreamingContextOption.nonEmpty():
jStreamingContextOption.get().stop(False)
except:
pass
def test_schema_dstream(self):
rdd = [self.sc.parallelize([(127, -128, -32768, 32767, 2147483647, 1.0,
date(2010, 1, 1), datetime(2010, 1, 1, 1, 1, 1),
{"a": 1}, (2,), [1, 2, 3], None)])]
schema = StructType([
StructField("byte1", ByteType(), False),
StructField("byte2", ByteType(), False),
StructField("short1", ShortType(), False),
StructField("short2", ShortType(), False),
StructField("int1", IntegerType(), False),
StructField("float1", FloatType(), False),
StructField("date1", DateType(), False),
StructField("time1", TimestampType(), False),
StructField("map1", MapType(StringType(), IntegerType(), False), False),
StructField("struct1", StructType([StructField("b", ShortType(), False)]), False),
StructField("list1", ArrayType(ByteType(), False), False),
StructField("null1", DoubleType(), True)])
dstream = self.ssc.queueStream(rdd)
self.ssc.sql("drop table if exists testTable")
self.ssc._snappycontext.createTable("testTable", "column", schema)
schemdstream = self.ssc.createSchemaDStream(dstream, schema)
def testFunction(df):
df.write.format("column").mode("append").saveAsTable("testTable")
schemdstream.foreachDataFrame(lambda df: testFunction(df))
self.ssc.sql("select count (*) from testTable").collect()
self.ssc.start()
self.ssc.awaitTermination(2)
result = SnappyContext(self.sc).sql("select count(*) from testTable").collect()
self.assertEqual(result[0][0], 1)
def test_text_file_stream(self):
d = tempfile.mkdtemp()
self.ssc = SnappyStreamingContext(self.sc, self.duration)
dstream2 = self.ssc.textFileStream(d).map(int)
result = self._collect(dstream2, 2, block=False)
self.ssc.start()
for name in ('a', 'b'):
time.sleep(1)
with open(os.path.join(d, name), "w") as f:
f.writelines(["%d\n" % i for i in range(10)])
self.wait_for(result, 2)
self.assertEqual([list(range(10)), list(range(10))], result)
def test_binary_records_stream(self):
d = tempfile.mkdtemp()
self.ssc = SnappyStreamingContext(self.sc, self.duration)
dstream = self.ssc.binaryRecordsStream(d, 10).map(
lambda v: struct.unpack("10b", bytes(v)))
result = self._collect(dstream, 2, block=False)
self.ssc.start()
for name in ('a', 'b'):
time.sleep(1)
with open(os.path.join(d, name), "wb") as f:
f.write(bytearray(range(10)))
self.wait_for(result, 2)
self.assertEqual([list(range(10)), list(range(10))], [list(v[0]) for v in result])
def test_get_active(self):
self.assertEqual(SnappyStreamingContext.getActive(), None)
# Verify that getActive() returns the active context
self.ssc.queueStream([[1]]).foreachRDD(lambda rdd: rdd.count())
self.ssc.start()
self.assertEqual(SnappyStreamingContext.getActive(), self.ssc)
# Verify that getActive() returns None
self.ssc.stop(False)
self.assertEqual(SnappyStreamingContext.getActive(), None)
# Verify that if the Java context is stopped, then getActive() returns None
self.ssc = SnappyStreamingContext(self.sc, self.duration)
self.ssc.queueStream([[1]]).foreachRDD(lambda rdd: rdd.count())
self.ssc.start()
self.assertEqual(SnappyStreamingContext.getActive(), self.ssc)
self.ssc._jssc.stop(False)
self.assertEqual(SnappyStreamingContext.getActive(), None)
def test_get_active_or_create(self):
# Test StreamingContext.getActiveOrCreate() without checkpoint data
# See CheckpointTests for tests with checkpoint data
self.ssc = None
self.assertEqual(SnappyStreamingContext.getActive(), None)
def setupFunc():
ssc = SnappyStreamingContext(self.sc, self.duration)
ssc.queueStream([[1]]).foreachRDD(lambda rdd: rdd.count())
self.setupCalled = True
return ssc
# Verify that getActiveOrCreate() (w/o checkpoint) calls setupFunc when no context is active
self.setupCalled = False
self.ssc = SnappyStreamingContext.getActiveOrCreate(None, setupFunc)
self.assertTrue(self.setupCalled)
# Verify that getActiveOrCreate() retuns active context and does not call the setupFunc
self.ssc.start()
self.setupCalled = False
self.assertEqual(SnappyStreamingContext.getActiveOrCreate(None, setupFunc), self.ssc)
self.assertFalse(self.setupCalled)
# Verify that getActiveOrCreate() calls setupFunc after active context is stopped
self.ssc.stop(False)
self.setupCalled = False
self.ssc = SnappyStreamingContext.getActiveOrCreate(None, setupFunc)
self.assertTrue(self.setupCalled)
# Verify that if the Java context is stopped, then getActive() returns None
self.ssc = SnappyStreamingContext(self.sc, self.duration)
self.ssc.queueStream([[1]]).foreachRDD(lambda rdd: rdd.count())
self.ssc.start()
self.assertEqual(SnappyStreamingContext.getActive(), self.ssc)
self.ssc._jssc.stop(False)
self.setupCalled = False
self.ssc = SnappyStreamingContext.getActiveOrCreate(None, setupFunc)
self.assertTrue(self.setupCalled)
