def test_input_output_interpolation(self):
fake_jar = os.path.join(self.tmp_dir, 'fake.jar')
open(fake_jar, 'w').close()
input1 = os.path.join(self.tmp_dir, 'input1')
open(input1, 'w').close()
input2 = os.path.join(self.tmp_dir, 'input2')
open(input2, 'w').close()
job = MRJarAndStreaming(
['-r', 'hadoop', '--jar', fake_jar, input1, input2])
job.sandbox()
add_mock_hadoop_output([b'']) # need this for streaming step
with job.make_runner() as runner:
runner.run()
with open(os.environ['MOCK_HADOOP_LOG']) as hadoop_log:
hadoop_jar_lines = [
line for line in hadoop_log if line.startswith('jar ')
]
self.assertEqual(len(hadoop_jar_lines), 2)
jar_args = hadoop_jar_lines[0].rstrip().split()
streaming_args = hadoop_jar_lines[1].rstrip().split()
self.assertEqual(len(jar_args), 5)
self.assertEqual(jar_args[0], 'jar')
self.assertEqual(jar_args[1], fake_jar)
self.assertEqual(jar_args[2], 'stuff')
# check input is interpolated
input_arg = ','.join(
runner._upload_mgr.uri(path) for path in (input1, input2))
self.assertEqual(jar_args[3], input_arg)
# check output of jar is input of next step
jar_output_arg = jar_args[4]
streaming_input_arg = streaming_args[
streaming_args.index('-input') + 1]
self.assertEqual(jar_output_arg, streaming_input_arg)
def test_input_output_interpolation(self):
fake_jar = os.path.join(self.tmp_dir, 'fake.jar')
open(fake_jar, 'w').close()
input1 = os.path.join(self.tmp_dir, 'input1')
open(input1, 'w').close()
input2 = os.path.join(self.tmp_dir, 'input2')
open(input2, 'w').close()
job = MRJarAndStreaming(
['-r', 'hadoop', '--jar', fake_jar, input1, input2])
job.sandbox()
add_mock_hadoop_output([b'']) # need this for streaming step
with job.make_runner() as runner:
runner.run()
hadoop_cmd_args = get_mock_hadoop_cmd_args()
hadoop_jar_cmd_args = [args for args in hadoop_cmd_args if
args and args[0] == 'jar']
self.assertEqual(len(hadoop_jar_cmd_args), 2)
jar_args, streaming_args = hadoop_jar_cmd_args
self.assertEqual(len(jar_args), 5)
self.assertEqual(jar_args[0], 'jar')
self.assertEqual(jar_args[1], fake_jar)
self.assertEqual(jar_args[2], 'stuff')
# check input is interpolated
input_arg = ','.join(
runner._upload_mgr.uri(path) for path in (input1, input2))
self.assertEqual(jar_args[3], input_arg)
# check output of jar is input of next step
jar_output_arg = jar_args[4]
streaming_input_arg = streaming_args[
streaming_args.index('-input') + 1]
self.assertEqual(jar_output_arg, streaming_input_arg)
def test_input_output_interpolation(self):
fake_jar = os.path.join(self.tmp_dir, 'fake.jar')
open(fake_jar, 'w').close()
input1 = os.path.join(self.tmp_dir, 'input1')
open(input1, 'w').close()
input2 = os.path.join(self.tmp_dir, 'input2')
open(input2, 'w').close()
job = MRJarAndStreaming(
['-r', 'hadoop', '--jar', fake_jar, input1, input2])
job.sandbox()
add_mock_hadoop_output(['']) # need this for streaming step
with job.make_runner() as runner:
runner.run()
with open(os.environ['MOCK_HADOOP_LOG']) as hadoop_log:
hadoop_jar_lines = [
line for line in hadoop_log if line.startswith('jar ')]
self.assertEqual(len(hadoop_jar_lines), 2)
jar_args = hadoop_jar_lines[0].rstrip().split()
streaming_args = hadoop_jar_lines[1].rstrip().split()
self.assertEqual(len(jar_args), 5)
self.assertEqual(jar_args[0], 'jar')
self.assertEqual(jar_args[1], fake_jar)
self.assertEqual(jar_args[2], 'stuff')
# check input is interpolated
input_arg = ','.join(
runner._upload_mgr.uri(path) for path in (input1, input2))
self.assertEqual(jar_args[3], input_arg)
# check output of jar is input of next step
jar_output_arg = jar_args[4]
streaming_input_arg = streaming_args[
streaming_args.index('-input') + 1]
self.assertEqual(jar_output_arg, streaming_input_arg)
def test_input_output_interpolation(self):
fake_jar = os.path.join(self.tmp_dir, 'fake.jar')
open(fake_jar, 'w').close()
input1 = os.path.join(self.tmp_dir, 'input1')
open(input1, 'w').close()
input2 = os.path.join(self.tmp_dir, 'input2')
open(input2, 'w').close()
job = MRJarAndStreaming(
['-r', 'hadoop', '--jar', fake_jar, input1, input2])
job.sandbox()
add_mock_hadoop_output([b'']) # need this for streaming step
with job.make_runner() as runner:
runner.run()
hadoop_cmd_args = get_mock_hadoop_cmd_args()
hadoop_jar_cmd_args = [args for args in hadoop_cmd_args if
args and args[0] == 'jar']
self.assertEqual(len(hadoop_jar_cmd_args), 2)
jar_args, streaming_args = hadoop_jar_cmd_args
self.assertEqual(len(jar_args), 5)
self.assertEqual(jar_args[0], 'jar')
self.assertEqual(jar_args[1], fake_jar)
self.assertEqual(jar_args[2], 'stuff')
# check input is interpolated
input_arg = ','.join(
runner._upload_mgr.uri(path) for path in (input1, input2))
self.assertEqual(jar_args[3], input_arg)
# check output of jar is input of next step
jar_output_arg = jar_args[4]
streaming_input_arg = streaming_args[
streaming_args.index('-input') + 1]
self.assertEqual(jar_output_arg, streaming_input_arg)
def test_input_output_interpolation(self):
fake_jar = os.path.join(self.tmp_dir, "fake.jar")
open(fake_jar, "w").close()
input1 = os.path.join(self.tmp_dir, "input1")
open(input1, "w").close()
input2 = os.path.join(self.tmp_dir, "input2")
open(input2, "w").close()
job = MRJarAndStreaming(["-r", "hadoop", "--jar", fake_jar, input1, input2])
job.sandbox()
add_mock_hadoop_output([""]) # need this for streaming step
with job.make_runner() as runner:
runner.run()
with open(os.environ["MOCK_HADOOP_LOG"]) as hadoop_log:
hadoop_jar_lines = [line for line in hadoop_log if line.startswith("jar ")]
self.assertEqual(len(hadoop_jar_lines), 2)
jar_args = hadoop_jar_lines[0].rstrip().split()
streaming_args = hadoop_jar_lines[1].rstrip().split()
self.assertEqual(len(jar_args), 5)
self.assertEqual(jar_args[0], "jar")
self.assertEqual(jar_args[1], fake_jar)
self.assertEqual(jar_args[2], "stuff")
# check input is interpolated
input_arg = ",".join(runner._upload_mgr.uri(path) for path in (input1, input2))
self.assertEqual(jar_args[3], input_arg)
# check output of jar is input of next step
jar_output_arg = jar_args[4]
streaming_input_arg = streaming_args[streaming_args.index("-input") + 1]
self.assertEqual(jar_output_arg, streaming_input_arg)