def test_run_batch_verify_in_spark_failed(dag, mocker):
op = LivyBatchOperator(
verify_in="spark",
spill_logs=False,
task_id="test_run_batch_verify_in_spark_failed",
dag=dag,
)
spill_logs_spy = mocker.spy(op, "spill_batch_logs")
mock_livy_batch_responses(
mocker,
mock_spark=[
MockedResponse(
200,
json_body=[
{
"jobId": 1,
"status": "SUCCEEDED"
},
{
"jobId": 2,
"status": "FAILED"
},
],
)
],
)
with raises(AirflowException) as ae:
op.execute({})
print(
f"\n\nImitated failed Spark job, then checked status via Spark REST API, "
f"got the expected exception:\n<{ae.value}>")
# spill_logs=True, and Operator had the batch_id by the time error occured.
spill_logs_spy.assert_called_once()
def test_run_batch_no_appid(dag, mocker):
op = LivyBatchOperator(
verify_in="spark",
spill_logs=False,
task_id="test_run_batch_no_appid",
dag=dag,
)
spill_logs_spy = mocker.spy(op, "spill_batch_logs")
mock_livy_batch_responses(
mocker,
mock_get=[MockedResponse(200, json_body={"state": "success", "appId": None})],
)
with raises(AirflowException) as ae:
op.execute({})
print(
f"\n\nImitated null Spark appId, then checked status via Spark REST API, "
f"got the expected exception:\n<{ae.value}>"
)
# spill_logs=True, and Operator had the batch_id by the time error occured.
spill_logs_spy.assert_called_once()
mock_livy_batch_responses(
mocker,
mock_get=[
MockedResponse(200, json_body={"state": "success", "noAppId": "here"})
],
)
with raises(AirflowException) as ae:
op.execute({})
print(
f"\n\nImitated no key for Spark appId, then checked status via Spark REST API, "
f"got the expected exception:\n<{ae.value}>"
)
assert spill_logs_spy.call_count == 2
def test_run_batch_logs_greater_than_page_size(dag, mocker):
op = LivyBatchOperator(
spill_logs=True,
task_id="test_run_batch_logs_greater_than_page_size",
dag=dag,
)
fetch_log_page_spy = mocker.spy(op, "fetch_log_page")
mock_livy_batch_responses(mocker, log_lines=321)
op.execute({})
assert fetch_log_page_spy.call_count == 4
def test_run_batch_logs_one_page_size(dag, mocker):
op = LivyBatchOperator(
spill_logs=True,
task_id="test_run_batch_logs_one_page_size",
dag=dag,
)
fetch_log_page_spy = mocker.spy(op, "fetch_log_page")
mock_livy_batch_responses(mocker, log_lines=100)
op.execute({})
fetch_log_page_spy.assert_called_once()
def test_run_batch_verify_in_spark(dag, mocker):
op = LivyBatchOperator(
verify_in="spark",
spill_logs=False,
task_id="test_run_batch_verify_in_spark",
dag=dag,
)
spark_checker_spy = mocker.spy(op, "check_spark_app_status")
mock_livy_batch_responses(mocker)
op.execute({})
spark_checker_spy.assert_called_once()
def test_run_batch_logs_missing_attrs_in_json(dag, mocker):
op = LivyBatchOperator(
spill_logs=True,
task_id="test_run_batch_logs_missing_attrs_in_json",
dag=dag,
)
mock_livy_batch_responses(mocker,
log_override_response='{"id": 1, "from": 2}')
with raises(AirflowException) as ae:
op.execute({})
print(f"\n\nImitated missing attributes when calling /logs , "
f"got the expected exception:\n<{ae.value}>")
def test_run_batch_logs_malformed_json(dag, mocker):
op = LivyBatchOperator(
spill_logs=True,
task_id="test_run_batch_logs_greater_than_page_size",
dag=dag,
)
mock_livy_batch_responses(mocker,
log_override_response='{"invalid":json]}')
with raises(AirflowException) as ae:
op.execute({})
print(f"\n\nImitated malformed response when calling /logs , "
f"got the expected exception:\n<{ae.value}>")
def test_run_batch_verify_in_spark_garbled(dag, mocker):
op = LivyBatchOperator(
verify_in="spark",
spill_logs=False,
task_id="test_run_batch_verify_in_spark_garbled",
dag=dag,
)
spill_logs_spy = mocker.spy(op, "spill_batch_logs")
mock_livy_batch_responses(
mocker,
mock_spark=[MockedResponse(200, json_body={"unparseable": "obj"})],
)
with raises(AirflowException) as ae:
op.execute({})
print(f"\n\nImitated garbled output from Spark REST API, "
f"got the expected exception:\n<{ae.value}>")
spill_logs_spy.assert_called_once()
def test_run_batch_successfully(dag, mocker):
op = LivyBatchOperator(spill_logs=False,
task_id="test_run_batch_successfully",
dag=dag)
spill_logs_spy = mocker.spy(op, "spill_batch_logs")
submit_batch_spy = mocker.spy(op, "submit_batch")
mock_livy_batch_responses(mocker)
op.execute({})
submit_batch_spy.assert_called_once()
# spill_logs is False and batch completed successfully, so we don't expect logs.
spill_logs_spy.assert_not_called()
op.spill_logs = True
op.execute({})
# We set spill_logs to True this time, therefore expecting logs.
spill_logs_spy.assert_called_once()
def test_run_batch_verify_in_yarn_garbled_response(dag, mocker):
op = LivyBatchOperator(
verify_in="yarn",
spill_logs=False,
task_id="test_run_batch_verify_in_spark",
dag=dag,
)
spill_logs_spy = mocker.spy(op, "spill_batch_logs")
mock_livy_batch_responses(
mocker,
mock_yarn=[
MockedResponse(200, body="<!DOCTYPE html><html>notjson</html>")
],
)
with raises(AirflowException) as ae:
op.execute({})
print(f"\n\nImitated garbled output from YARN REST API, "
f"got the expected exception:\n<{ae.value}>")
spill_logs_spy.assert_called_once()
def test_run_batch_verify_in_yarn_failed(dag, mocker):
op = LivyBatchOperator(
verify_in="yarn",
spill_logs=False,
task_id="test_run_batch_verify_in_yarn_failed",
dag=dag,
)
spill_logs_spy = mocker.spy(op, "spill_batch_logs")
mock_livy_batch_responses(
mocker,
mock_yarn=[MockedResponse(200, json_body={"app": {"finalStatus": "NOTGOOD"}})],
)
with raises(AirflowException) as ae:
op.execute({})
print(
f"\n\nImitated failed status from YARN REST API, "
f"got the expected exception:\n<{ae.value}>"
)
spill_logs_spy.assert_called_once()
def test_run_batch_error_during_status_probing(dag, mocker, code):
op = LivyBatchOperator(
spill_logs=True,
task_id="test_run_batch_error_during_status_probing",
dag=dag,
)
spill_logs_spy = mocker.spy(op, "spill_batch_logs")
mock_livy_batch_responses(
mocker,
mock_get=[MockedResponse(code, body=f"Response from server:{code}")])
with raises(AirflowException) as ae:
op.execute({})
print(
f"\n\nImitated {code} response from server during batch status probing , "
f"got the expected exception:\n<{ae.value}>")
# spill_logs=True, and Operator had the batch_id by the time error occured.
spill_logs_spy.assert_called_once()
op.spill_logs = False
with raises(AirflowException):
op.execute({})
# spill_logs=False, but error occured and Operator had the batch_id.
assert spill_logs_spy.call_count == 2
