def test_runs_over_time():
with seven.TemporaryDirectory() as temp_dir:
instance = DagsterInstance.local_temp(temp_dir)
repo_1 = get_repo_at_time_1()
full_evolve_run_id = execute_pipeline(
repo_1.get_pipeline("evolving_pipeline"), instance=instance).run_id
foo_run_id = execute_pipeline(repo_1.get_pipeline("foo_pipeline"),
instance=instance).run_id
evolve_a_run_id = execute_pipeline(
repo_1.get_pipeline("evolving_pipeline").get_pipeline_subset_def(
{"solid_A"}),
instance=instance,
).run_id
evolve_b_run_id = execute_pipeline(
repo_1.get_pipeline("evolving_pipeline").get_pipeline_subset_def(
{"solid_B"}),
instance=instance,
).run_id
context_at_time_1 = define_context_for_file(__file__,
"get_repo_at_time_1",
instance)
result = execute_dagster_graphql(context_at_time_1, ALL_RUNS_QUERY)
assert result.data
t1_runs = {
run["runId"]: run
for run in result.data["pipelineRunsOrError"]["results"]
}
assert t1_runs[full_evolve_run_id]["pipeline"] == {
"__typename": "PipelineSnapshot",
"name": "evolving_pipeline",
"solidSelection": None,
}
assert t1_runs[foo_run_id]["pipeline"] == {
"__typename": "PipelineSnapshot",
"name": "foo_pipeline",
"solidSelection": None,
}
assert t1_runs[evolve_a_run_id]["pipeline"] == {
"__typename": "PipelineSnapshot",
"name": "evolving_pipeline",
"solidSelection": ["solid_A"],
}
assert t1_runs[evolve_b_run_id]["pipeline"] == {
"__typename": "PipelineSnapshot",
"name": "evolving_pipeline",
"solidSelection": ["solid_B"],
}
context_at_time_2 = define_context_for_file(__file__,
"get_repo_at_time_2",
instance)
result = execute_dagster_graphql(context_at_time_2, ALL_RUNS_QUERY)
assert result.data
t2_runs = {
run["runId"]: run
for run in result.data["pipelineRunsOrError"]["results"]
}
assert t2_runs[full_evolve_run_id]["pipeline"] == {
"__typename": "PipelineSnapshot",
"name": "evolving_pipeline",
"solidSelection": None,
}
assert t2_runs[evolve_a_run_id]["pipeline"] == {
"__typename": "PipelineSnapshot",
"name": "evolving_pipeline",
"solidSelection": ["solid_A"],
}
# pipeline name changed
assert t2_runs[foo_run_id]["pipeline"] == {
"__typename": "PipelineSnapshot",
"name": "foo_pipeline",
"solidSelection": None,
}
# subset no longer valid - b renamed
assert t2_runs[evolve_b_run_id]["pipeline"] == {
"__typename": "PipelineSnapshot",
"name": "evolving_pipeline",
"solidSelection": ["solid_B"],
}
def test_multiprocessing_execution_for_composite_solid_with_config_mapping():
environment_dict = {
'solids': {
'composite_with_nested_config_solid_and_config_mapping': {
'config': {
'foo': 'baz',
'bar': 3
}
}
}
}
run_id = make_new_run_id()
handle = ExecutionTargetHandle.for_pipeline_python_file(
__file__, 'composite_pipeline_with_config_mapping')
instance = DagsterInstance.local_temp()
pipeline_run = instance.create_run(
PipelineRun(
pipeline_name=composite_pipeline_with_config_mapping.name,
run_id=run_id,
selector=ExecutionSelector('nonce'),
environment_dict=environment_dict,
mode='default',
reexecution_config=None,
step_keys_to_execute=None,
tags=None,
status=PipelineRunStatus.NOT_STARTED,
))
execution_manager = SubprocessExecutionManager(instance)
execution_manager.execute_pipeline(handle,
composite_pipeline_with_config_mapping,
pipeline_run,
instance,
raise_on_error=False)
execution_manager.join()
assert instance.get_run(run_id).status == PipelineRunStatus.SUCCESS
environment_dict = {
'solids': {
'composite_with_nested_config_solid_and_config_mapping': {
'config': {
'foo': 'baz',
'bar': 3
}
}
},
'execution': {
'multiprocess': {}
},
'storage': {
'filesystem': {}
},
}
run_id = make_new_run_id()
pipeline_run = instance.create_run(
PipelineRun(
pipeline_name=composite_pipeline.name,
run_id=run_id,
selector=ExecutionSelector('nonce'),
environment_dict=environment_dict,
mode='default',
reexecution_config=None,
step_keys_to_execute=None,
tags=None,
status=PipelineRunStatus.NOT_STARTED,
))
execution_manager = SubprocessExecutionManager(instance)
execution_manager.execute_pipeline(handle,
composite_pipeline,
pipeline_run,
instance,
raise_on_error=False)
execution_manager.join()
assert instance.get_run(run_id).status == PipelineRunStatus.SUCCESS
def test_execute_hammer_through_dagit():
recon_repo = ReconstructableRepository.for_file(
file_relative_path(
__file__, '../../../../examples/dagster_examples/toys/hammer.py'),
'hammer_pipeline',
)
instance = DagsterInstance.local_temp()
context = DagsterGraphQLContext(
locations=[InProcessRepositoryLocation(recon_repo)],
instance=instance,
)
selector = get_legacy_pipeline_selector(context, 'hammer_pipeline')
executor = SyncExecutor()
variables = {
'executionParams': {
'runConfigData': {
'storage': {
'filesystem': {}
},
'execution': {
'dask': {
'config': {
'cluster': {
'local': {}
}
}
}
},
},
'selector': selector,
'mode': 'default',
}
}
start_pipeline_result = graphql(
request_string=LAUNCH_PIPELINE_EXECUTION_MUTATION,
schema=create_schema(),
context=context,
variables=variables,
executor=executor,
)
if start_pipeline_result.errors:
raise Exception('{}'.format(start_pipeline_result.errors))
run_id = start_pipeline_result.data['launchPipelineExecution']['run'][
'runId']
context.drain_outstanding_executions()
subscription = execute_dagster_graphql(context,
SUBSCRIPTION_QUERY,
variables={'runId': run_id})
subscribe_results = []
subscription.subscribe(subscribe_results.append)
messages = [
x['__typename']
for x in subscribe_results[0].data['pipelineRunLogs']['messages']
]
assert 'PipelineStartEvent' in messages
assert 'PipelineSuccessEvent' in messages
def test_successful_two_part_execute_plan(snapshot):
run_id = make_new_run_id()
instance = DagsterInstance.local_temp()
instance.create_empty_run(run_id, 'csv_hello_world')
result_one = execute_dagster_graphql(
define_test_context(instance=instance),
EXECUTE_PLAN_QUERY,
variables={
'executionParams': {
'selector': {
'name': 'csv_hello_world'
},
'environmentConfigData':
csv_hello_world_solids_config_fs_storage(),
'stepKeys': ['sum_solid.compute'],
'executionMetadata': {
'runId': run_id
},
'mode': 'default',
}
},
)
assert result_one.data['executePlan']['__typename'] == 'ExecutePlanSuccess'
snapshot.assert_match(clean_log_messages(result_one.data))
result_two = execute_dagster_graphql(
define_test_context(instance=instance),
EXECUTE_PLAN_QUERY,
variables={
'executionParams': {
'selector': {
'name': 'csv_hello_world'
},
'environmentConfigData':
csv_hello_world_solids_config_fs_storage(),
'stepKeys': ['sum_sq_solid.compute'],
'executionMetadata': {
'runId': run_id
},
'mode': 'default',
}
},
)
query_result = result_two.data['executePlan']
assert query_result['__typename'] == 'ExecutePlanSuccess'
assert query_result['pipeline']['name'] == 'csv_hello_world'
assert query_result['hasFailures'] is False
step_events = query_result['stepEvents']
assert [se['__typename'] for se in step_events] == [
'EngineEvent',
'ExecutionStepStartEvent',
'ObjectStoreOperationEvent',
'ExecutionStepInputEvent',
'ExecutionStepOutputEvent',
'ObjectStoreOperationEvent',
'ExecutionStepSuccessEvent',
'EngineEvent',
]
assert step_events[1]['step']['key'] == 'sum_sq_solid.compute'
assert step_events[2]['step']['key'] == 'sum_sq_solid.compute'
assert step_events[3]['step']['key'] == 'sum_sq_solid.compute'
assert step_events[4]['outputName'] == 'result'
assert step_events[5]['step']['key'] == 'sum_sq_solid.compute'
snapshot.assert_match(clean_log_messages(result_two.data))
expected_value_repr = (
'''[OrderedDict([('num1', '1'), ('num2', '2'), ('sum', 3), '''
'''('sum_sq', 9)]), OrderedDict([('num1', '3'), ('num2', '4'), ('sum', 7), '''
'''('sum_sq', 49)])]''')
store = build_fs_intermediate_store(instance.intermediates_directory,
run_id)
assert store.has_intermediate(None, 'sum_sq_solid.compute')
assert (str(
store.get_intermediate(None, 'sum_sq_solid.compute',
PoorMansDataFrame).obj) == expected_value_repr)
def test_filesystem_persist_one_run():
do_test_single_write_read(DagsterInstance.local_temp())
def test_execute_hammer_through_dagit():
handle = ExecutionTargetHandle.for_pipeline_python_file(
script_relative_path(
'../../../examples/dagster_examples/toys/hammer.py'),
'hammer_pipeline')
instance = DagsterInstance.local_temp()
execution_manager = SubprocessExecutionManager(instance)
context = DagsterGraphQLContext(handle=handle,
execution_manager=execution_manager,
instance=instance)
executor = SyncExecutor()
variables = {
'executionParams': {
'environmentConfigData': {
'storage': {
'filesystem': {}
},
'execution': {
'dask': {}
}
},
'selector': {
'name': handle.build_pipeline_definition().name
},
'mode': 'default',
}
}
start_pipeline_result = graphql(
request_string=START_PIPELINE_EXECUTION_MUTATION,
schema=create_schema(),
context=context,
variables=variables,
executor=executor,
)
run_id = start_pipeline_result.data['startPipelineExecution']['run'][
'runId']
context.execution_manager.join()
subscription = execute_dagster_graphql(context,
SUBSCRIPTION_QUERY,
variables={'runId': run_id})
subscribe_results = []
subscription.subscribe(subscribe_results.append)
messages = [
x['__typename']
for x in subscribe_results[0].data['pipelineRunLogs']['messages']
]
assert 'PipelineProcessStartEvent' in messages
assert 'PipelineProcessStartedEvent' in messages
assert 'PipelineStartEvent' in messages
assert 'PipelineSuccessEvent' in messages
assert 'PipelineProcessExitedEvent' in messages
def test_interrupt_multiproc():
with seven.TemporaryDirectory() as tempdir:
file_1 = os.path.join(tempdir, "file_1")
file_2 = os.path.join(tempdir, "file_2")
file_3 = os.path.join(tempdir, "file_3")
file_4 = os.path.join(tempdir, "file_4")
# launch a thread that waits until the file is written to launch an interrupt
Thread(target=_send_kbd_int, args=([file_1, file_2, file_3,
file_4], )).start()
results = []
try:
# launch a pipeline that writes a file and loops infinitely
# next time the launched thread wakes up it will send a keyboard
# interrupt
for result in execute_pipeline_iterator(
reconstructable(write_files_pipeline),
run_config={
"solids": {
"write_1": {
"config": {
"tempfile": file_1
}
},
"write_2": {
"config": {
"tempfile": file_2
}
},
"write_3": {
"config": {
"tempfile": file_3
}
},
"write_4": {
"config": {
"tempfile": file_4
}
},
},
"execution": {
"multiprocess": {
"config": {
"max_concurrent": 4
}
}
},
"storage": {
"filesystem": {}
},
},
instance=DagsterInstance.local_temp(tempdir=tempdir),
):
results.append(result)
assert False # should never reach
except (DagsterSubprocessError, KeyboardInterrupt):
pass
assert [result.event_type for result in results
].count(DagsterEventType.STEP_FAILURE) == 4
assert DagsterEventType.PIPELINE_FAILURE in [
result.event_type for result in results
]
def test_retry_early_terminate():
with seven.TemporaryDirectory() as temp_dir:
instance = DagsterInstance.local_temp(temp_dir)
context = define_test_subprocess_context(instance=instance)
run_id = make_new_run_id()
execute_dagster_graphql(
context,
START_PIPELINE_EXECUTION_QUERY,
variables={
'executionParams': {
'mode': 'default',
'selector': {
'name': 'retry_multi_input_early_terminate_pipeline'
},
'environmentConfigData': {
'solids': {
'get_input_one': {
'config': {
'wait_to_terminate': True
}
},
'get_input_two': {
'config': {
'wait_to_terminate': True
}
},
},
'storage': {
'filesystem': {}
},
},
'executionMetadata': {
'runId': run_id
},
}
},
)
# Wait until the first step succeeded
while instance.get_run_stats(run_id).steps_succeeded < 1:
sleep(0.1)
# Terminate the current pipeline run at the second step
context.execution_manager.terminate(run_id)
records = instance.all_logs(run_id)
# The first step should succeed, the second should fail or not start,
# and the following steps should not appear in records
assert step_did_succeed_in_records(records, 'return_one.compute')
assert any([
step_did_fail_in_records(records, 'get_input_one.compute'),
step_did_not_run_in_records(records, 'get_input_one.compute'),
])
assert step_did_not_run_in_records(records, 'get_input_two.compute')
assert step_did_not_run_in_records(records, 'sum_inputs.compute')
# Start retry
new_run_id = make_new_run_id()
execute_dagster_graphql(
context,
START_PIPELINE_REEXECUTION_QUERY,
variables={
'executionParams': {
'mode': 'default',
'selector': {
'name': 'retry_multi_input_early_terminate_pipeline'
},
'environmentConfigData': {
'solids': {
'get_input_one': {
'config': {
'wait_to_terminate': False
}
},
'get_input_two': {
'config': {
'wait_to_terminate': False
}
},
},
'storage': {
'filesystem': {}
},
},
'executionMetadata': {
'runId': new_run_id,
'rootRunId': run_id,
'parentRunId': run_id,
'tags': [{
'key': RESUME_RETRY_TAG,
'value': 'true'
}],
},
}
},
)
# Wait until the run is finished
while context.execution_manager.is_process_running(new_run_id):
pass
retry_records = instance.all_logs(new_run_id)
# The first step should not run and the other three steps should succeed in retry
assert step_did_not_run_in_records(retry_records, 'return_one.compute')
assert step_did_succeed_in_records(retry_records,
'get_input_one.compute')
assert step_did_succeed_in_records(retry_records,
'get_input_two.compute')
assert step_did_succeed_in_records(retry_records, 'sum_inputs.compute')
def create_local_temp_instance():
yield DagsterInstance.local_temp()
def test_run_groups_over_time():
with seven.TemporaryDirectory() as tempdir:
instance = DagsterInstance.local_temp(tempdir=tempdir)
repo_1 = get_repo_at_time_1()
full_evolve_run_id = execute_pipeline(
repo_1.get_pipeline("evolving_pipeline"), instance=instance).run_id
foo_run_id = execute_pipeline(repo_1.get_pipeline("foo_pipeline"),
instance=instance).run_id
evolve_a_run_id = execute_pipeline(
repo_1.get_pipeline("evolving_pipeline").get_pipeline_subset_def(
{"solid_A"}),
instance=instance,
).run_id
evolve_b_run_id = execute_pipeline(
repo_1.get_pipeline("evolving_pipeline").get_pipeline_subset_def(
{"solid_B"}),
instance=instance,
).run_id
context_at_time_1 = define_out_of_process_context(
__file__, "get_repo_at_time_1", instance)
result = execute_dagster_graphql(context_at_time_1,
ALL_RUN_GROUPS_QUERY)
assert result.data
assert "runGroupsOrError" in result.data
assert "results" in result.data["runGroupsOrError"]
assert len(result.data["runGroupsOrError"]["results"]) == 4
t1_runs = {
run["runId"]: run
for group in result.data["runGroupsOrError"]["results"]
for run in group["runs"]
}
# test full_evolve_run_id
assert t1_runs[full_evolve_run_id]["pipeline"] == {
"__typename": "PipelineSnapshot",
"name": "evolving_pipeline",
"solidSelection": None,
}
# test foo_run_id
assert t1_runs[foo_run_id]["pipeline"] == {
"__typename": "PipelineSnapshot",
"name": "foo_pipeline",
"solidSelection": None,
}
# test evolve_a_run_id
assert t1_runs[evolve_a_run_id]["pipeline"] == {
"__typename": "PipelineSnapshot",
"name": "evolving_pipeline",
"solidSelection": ["solid_A"],
}
assert t1_runs[evolve_a_run_id]["pipelineSnapshotId"]
# test evolve_b_run_id
assert t1_runs[evolve_b_run_id]["pipeline"] == {
"__typename": "PipelineSnapshot",
"name": "evolving_pipeline",
"solidSelection": ["solid_B"],
}
context_at_time_2 = define_out_of_process_context(
__file__, "get_repo_at_time_2", instance)
result = execute_dagster_graphql(context_at_time_2,
ALL_RUN_GROUPS_QUERY)
assert "runGroupsOrError" in result.data
assert "results" in result.data["runGroupsOrError"]
assert len(result.data["runGroupsOrError"]["results"]) == 4
t2_runs = {
run["runId"]: run
for group in result.data["runGroupsOrError"]["results"]
for run in group["runs"]
}
# test full_evolve_run_id
assert t2_runs[full_evolve_run_id]["pipeline"] == {
"__typename": "PipelineSnapshot",
"name": "evolving_pipeline",
"solidSelection": None,
}
# test evolve_a_run_id
assert t2_runs[evolve_a_run_id]["pipeline"] == {
"__typename": "PipelineSnapshot",
"name": "evolving_pipeline",
"solidSelection": ["solid_A"],
}
assert t2_runs[evolve_a_run_id]["pipelineSnapshotId"]
# names same
assert (t1_runs[full_evolve_run_id]["pipeline"]["name"] ==
t2_runs[evolve_a_run_id]["pipeline"]["name"])
# snapshots differ
assert (t1_runs[full_evolve_run_id]["pipelineSnapshotId"] !=
t2_runs[evolve_a_run_id]["pipelineSnapshotId"])
# pipeline name changed
assert t2_runs[foo_run_id]["pipeline"] == {
"__typename": "PipelineSnapshot",
"name": "foo_pipeline",
"solidSelection": None,
}
# subset no longer valid - b renamed
assert t2_runs[evolve_b_run_id]["pipeline"] == {
"__typename": "PipelineSnapshot",
"name": "evolving_pipeline",
"solidSelection": ["solid_B"],
}
def test_retry_pipeline_execution():
context = define_test_context(instance=DagsterInstance.local_temp())
result = execute_dagster_graphql(
context,
START_PIPELINE_EXECUTION_QUERY,
variables={
'executionParams': {
'mode': 'default',
'selector': {'name': 'eventually_successful'},
'environmentConfigData': retry_config(0),
}
},
)
run_id = result.data['startPipelineExecution']['run']['runId']
logs = sync_get_all_logs_for_run(context, run_id)['pipelineRunLogs']['messages']
assert step_did_succeed(logs, 'spawn.compute')
assert step_did_fail(logs, 'fail.compute')
assert step_did_skip(logs, 'fail_2.compute')
assert step_did_skip(logs, 'fail_3.compute')
assert step_did_skip(logs, 'reset.compute')
retry_one = execute_dagster_graphql(
context,
START_PIPELINE_REEXECUTION_QUERY,
variables={
'executionParams': {
'mode': 'default',
'selector': {'name': 'eventually_successful'},
'environmentConfigData': retry_config(1),
'executionMetadata': {
'rootRunId': run_id,
'parentRunId': run_id,
'tags': [{'key': RESUME_RETRY_TAG, 'value': 'true'}],
},
}
},
)
run_id = retry_one.data['startPipelineReexecution']['run']['runId']
logs = sync_get_all_logs_for_run(context, run_id)['pipelineRunLogs']['messages']
assert step_did_not_run(logs, 'spawn.compute')
assert step_did_succeed(logs, 'fail.compute')
assert step_did_fail(logs, 'fail_2.compute')
assert step_did_skip(logs, 'fail_3.compute')
assert step_did_skip(logs, 'reset.compute')
retry_two = execute_dagster_graphql(
context,
START_PIPELINE_REEXECUTION_QUERY,
variables={
'executionParams': {
'mode': 'default',
'selector': {'name': 'eventually_successful'},
'environmentConfigData': retry_config(2),
'executionMetadata': {
'rootRunId': run_id,
'parentRunId': run_id,
'tags': [{'key': RESUME_RETRY_TAG, 'value': 'true'}],
},
}
},
)
run_id = retry_two.data['startPipelineReexecution']['run']['runId']
logs = sync_get_all_logs_for_run(context, run_id)['pipelineRunLogs']['messages']
assert step_did_not_run(logs, 'spawn.compute')
assert step_did_not_run(logs, 'fail.compute')
assert step_did_succeed(logs, 'fail_2.compute')
assert step_did_fail(logs, 'fail_3.compute')
assert step_did_skip(logs, 'reset.compute')
retry_three = execute_dagster_graphql(
context,
START_PIPELINE_REEXECUTION_QUERY,
variables={
'executionParams': {
'mode': 'default',
'selector': {'name': 'eventually_successful'},
'environmentConfigData': retry_config(3),
'executionMetadata': {
'rootRunId': run_id,
'parentRunId': run_id,
'tags': [{'key': RESUME_RETRY_TAG, 'value': 'true'}],
},
}
},
)
run_id = retry_three.data['startPipelineReexecution']['run']['runId']
logs = sync_get_all_logs_for_run(context, run_id)['pipelineRunLogs']['messages']
assert step_did_not_run(logs, 'spawn.compute')
assert step_did_not_run(logs, 'fail.compute')
assert step_did_not_run(logs, 'fail_2.compute')
assert step_did_succeed(logs, 'fail_3.compute')
assert step_did_succeed(logs, 'reset.compute')
def graphql_context():
with seven.TemporaryDirectory() as temp_dir:
yield define_test_context(DagsterInstance.local_temp(temp_dir))
def test_runs_over_time():
instance = DagsterInstance.local_temp()
repo_1 = get_repo_at_time_1()
full_evolve_run_id = execute_pipeline(
repo_1.get_pipeline('evolving_pipeline'), instance=instance).run_id
foo_run_id = execute_pipeline(repo_1.get_pipeline('foo_pipeline'),
instance=instance).run_id
evolve_a_run_id = execute_pipeline(
repo_1.get_pipeline('evolving_pipeline').build_sub_pipeline(
['solid_A']),
instance=instance).run_id
evolve_b_run_id = execute_pipeline(
repo_1.get_pipeline('evolving_pipeline').build_sub_pipeline(
['solid_B']),
instance=instance).run_id
context_at_time_1 = define_context_for_file(__file__, 'get_repo_at_time_1',
instance)
result = execute_dagster_graphql(context_at_time_1, ALL_RUNS_QUERY)
assert result.data
t1_runs = {
run['runId']: run
for run in result.data['pipelineRunsOrError']['results']
}
# test full_evolve_run_id
assert t1_runs[full_evolve_run_id]['pipeline']['__typename'] == 'Pipeline'
assert t1_runs[full_evolve_run_id]['executionSelection'] == {
'name': 'evolving_pipeline',
'solidSubset': None,
}
# test foo_run_id
assert t1_runs[foo_run_id]['pipeline']['__typename'] == 'Pipeline'
assert t1_runs[foo_run_id]['executionSelection'] == {
'name': 'foo_pipeline',
'solidSubset': None,
}
# test evolve_a_run_id
assert t1_runs[evolve_a_run_id]['pipeline']['__typename'] == 'Pipeline'
assert t1_runs[evolve_a_run_id]['executionSelection'] == {
'name': 'evolving_pipeline',
'solidSubset': ['solid_A'],
}
assert t1_runs[evolve_a_run_id]['pipelineSnapshotId']
# test evolve_b_run_id
assert t1_runs[evolve_b_run_id]['pipeline']['__typename'] == 'Pipeline'
assert t1_runs[evolve_b_run_id]['executionSelection'] == {
'name': 'evolving_pipeline',
'solidSubset': ['solid_B'],
}
context_at_time_2 = define_context_for_file(__file__, 'get_repo_at_time_2',
instance)
result = execute_dagster_graphql(context_at_time_2, ALL_RUNS_QUERY)
assert result.data
t2_runs = {
run['runId']: run
for run in result.data['pipelineRunsOrError']['results']
}
# test full_evolve_run_id
assert t2_runs[full_evolve_run_id]['pipeline']['__typename'] == 'Pipeline'
assert t1_runs[full_evolve_run_id]['executionSelection'] == {
'name': 'evolving_pipeline',
'solidSubset': None,
}
# test evolve_a_run_id
assert t2_runs[evolve_a_run_id]['pipeline']['__typename'] == 'Pipeline'
assert t2_runs[evolve_a_run_id]['executionSelection'] == {
'name': 'evolving_pipeline',
'solidSubset': ['solid_A'],
}
assert t2_runs[evolve_a_run_id]['pipelineSnapshotId']
# names same
assert (t1_runs[full_evolve_run_id]['pipeline']['name'] ==
t2_runs[evolve_a_run_id]['pipeline']['name'])
# snapshots differ
assert (t1_runs[full_evolve_run_id]['pipelineSnapshotId'] !=
t2_runs[evolve_a_run_id]['pipelineSnapshotId'])
# pipeline name changed
assert t2_runs[foo_run_id]['pipeline']['__typename'] == 'UnknownPipeline'
assert t1_runs[foo_run_id]['executionSelection'] == {
'name': 'foo_pipeline',
'solidSubset': None,
}
# subset no longer valid - b renamed
assert t2_runs[evolve_b_run_id]['pipeline'][
'__typename'] == 'UnknownPipeline'
assert t2_runs[evolve_b_run_id]['executionSelection'] == {
'name': 'evolving_pipeline',
'solidSubset': ['solid_B'],
}
def test_multiprocessing_execution_for_composite_solid():
environment_dict = {
'solids': {
'composite_with_nested_config_solid': {
'solids': {
'node_a': {
'config': {
'foo': 'baz'
}
},
'node_b': {
'config': {
'bar': 3
}
}
}
}
}
}
instance = DagsterInstance.local_temp()
pipeline_run = instance.create_run_for_pipeline(
pipeline_def=composite_pipeline,
environment_dict=environment_dict,
)
execution_manager = SubprocessExecutionManager(instance)
execution_manager.execute_pipeline(reconstructable(get_composite_pipeline),
pipeline_run, instance)
execution_manager.join()
assert instance.get_run_by_id(
pipeline_run.run_id).status == PipelineRunStatus.SUCCESS
environment_dict = {
'solids': {
'composite_with_nested_config_solid': {
'solids': {
'node_a': {
'config': {
'foo': 'baz'
}
},
'node_b': {
'config': {
'bar': 3
}
}
}
}
},
'execution': {
'multiprocess': {}
},
'storage': {
'filesystem': {}
},
}
pipeline_run = instance.create_run_for_pipeline(
pipeline_def=composite_pipeline,
environment_dict=environment_dict,
)
execution_manager = SubprocessExecutionManager(instance)
execution_manager.execute_pipeline(reconstructable(get_composite_pipeline),
pipeline_run, instance)
execution_manager.join()
def test_max_concurrency_one():
handle = ExecutionTargetHandle.for_pipeline_python_file(
__file__, 'infinite_loop_pipeline')
run_id_one = make_new_run_id()
run_id_two = make_new_run_id()
with safe_tempfile_path() as file_one, safe_tempfile_path() as file_two:
instance = DagsterInstance.local_temp()
execution_manager = QueueingSubprocessExecutionManager(
instance, max_concurrent_runs=1)
run_one = instance.create_run(
PipelineRun.create_empty_run(
pipeline_name=infinite_loop_pipeline.name,
run_id=run_id_one,
environment_dict={
'solids': {
'loop': {
'config': {
'file': file_one
}
}
}
},
))
run_two = instance.create_run(
PipelineRun.create_empty_run(
pipeline_name=infinite_loop_pipeline.name,
run_id=run_id_two,
environment_dict={
'solids': {
'loop': {
'config': {
'file': file_two
}
}
}
},
))
execution_manager.execute_pipeline(handle, infinite_loop_pipeline,
run_one, instance)
execution_manager.execute_pipeline(handle, infinite_loop_pipeline,
run_two, instance)
while not os.path.exists(file_one):
execution_manager.check()
time.sleep(0.1)
assert execution_manager.is_active(run_id_one)
assert not execution_manager.is_active(run_id_two)
assert not os.path.exists(file_two)
assert execution_manager.terminate(run_id_one)
while not os.path.exists(file_two):
execution_manager.check()
time.sleep(0.1)
assert not execution_manager.is_active(run_id_one)
assert execution_manager.is_active(run_id_two)
assert execution_manager.terminate(run_id_two)
def test_get_runs_over_graphql():
from .utils import (
define_test_context,
sync_execute_get_run_log_data,
)
payload_one = sync_execute_get_run_log_data({
'executionParams': {
'selector': {
'name': 'multi_mode_with_resources'
},
'mode': 'add_mode',
'environmentConfigData': {
'resources': {
'op': {
'config': 2
}
}
},
}
})
run_id_one = payload_one['run']['runId']
payload_two = sync_execute_get_run_log_data({
'executionParams': {
'selector': {
'name': 'multi_mode_with_resources'
},
'mode': 'add_mode',
'environmentConfigData': {
'resources': {
'op': {
'config': 3
}
}
},
}
})
run_id_two = payload_two['run']['runId']
read_context = define_test_context(instance=DagsterInstance.local_temp())
result = execute_dagster_graphql(
read_context,
RUNS_QUERY,
variables={'name': 'multi_mode_with_resources'})
# delete the second run
result = execute_dagster_graphql(read_context,
DELETE_RUN_MUTATION,
variables={'runId': run_id_two})
assert result.data['deletePipelineRun'][
'__typename'] == 'DeletePipelineRunSuccess'
assert result.data['deletePipelineRun']['runId'] == run_id_two
# query it back out
result = execute_dagster_graphql(
read_context,
RUNS_QUERY,
variables={'name': 'multi_mode_with_resources'})
# first is the same
run_one_data = _get_runs_data(result, run_id_one)
assert run_one_data
# second is gone
run_two_data = _get_runs_data(result, run_id_two)
assert run_two_data is None
# try to delete the second run again
execute_dagster_graphql(read_context,
DELETE_RUN_MUTATION,
variables={'runId': run_id_two})
result = execute_dagster_graphql(read_context,
DELETE_RUN_MUTATION,
variables={'runId': run_id_two})
assert result.data['deletePipelineRun'][
'__typename'] == 'PipelineRunNotFoundError'
def sqlite_instance_with_manager_disabled():
with seven.TemporaryDirectory() as temp_dir:
yield DagsterInstance.local_temp(
tempdir=temp_dir, overrides={'dagit': {'execution_manager': {'disabled': True}}}
)
def test_filesystem_persist_one_run():
with seven.TemporaryDirectory() as temp_dir:
do_test_single_write_read(DagsterInstance.local_temp(temp_dir))
def test_run_groups_over_time():
with seven.TemporaryDirectory() as tempdir:
instance = DagsterInstance.local_temp(tempdir=tempdir)
repo_1 = get_repo_at_time_1()
full_evolve_run_id = execute_pipeline(
repo_1.get_pipeline('evolving_pipeline'), instance=instance).run_id
foo_run_id = execute_pipeline(repo_1.get_pipeline('foo_pipeline'),
instance=instance).run_id
evolve_a_run_id = execute_pipeline(
repo_1.get_pipeline('evolving_pipeline').get_pipeline_subset_def(
{'solid_A'}),
instance=instance,
).run_id
evolve_b_run_id = execute_pipeline(
repo_1.get_pipeline('evolving_pipeline').get_pipeline_subset_def(
{'solid_B'}),
instance=instance,
).run_id
context_at_time_1 = define_context_for_file(__file__,
'get_repo_at_time_1',
instance)
result = execute_dagster_graphql(context_at_time_1,
ALL_RUN_GROUPS_QUERY)
assert result.data
assert 'runGroupsOrError' in result.data
assert 'results' in result.data['runGroupsOrError']
assert len(result.data['runGroupsOrError']['results']) == 4
t1_runs = {
run['runId']: run
for group in result.data['runGroupsOrError']['results']
for run in group['runs']
}
# test full_evolve_run_id
assert t1_runs[full_evolve_run_id]['pipeline'] == {
'__typename': 'PipelineSnapshot',
'name': 'evolving_pipeline',
'solidSelection': None,
}
# test foo_run_id
assert t1_runs[foo_run_id]['pipeline'] == {
'__typename': 'PipelineSnapshot',
'name': 'foo_pipeline',
'solidSelection': None,
}
# test evolve_a_run_id
assert t1_runs[evolve_a_run_id]['pipeline'] == {
'__typename': 'PipelineSnapshot',
'name': 'evolving_pipeline',
'solidSelection': ['solid_A'],
}
assert t1_runs[evolve_a_run_id]['pipelineSnapshotId']
# test evolve_b_run_id
assert t1_runs[evolve_b_run_id]['pipeline'] == {
'__typename': 'PipelineSnapshot',
'name': 'evolving_pipeline',
'solidSelection': ['solid_B'],
}
context_at_time_2 = define_context_for_file(__file__,
'get_repo_at_time_2',
instance)
result = execute_dagster_graphql(context_at_time_2,
ALL_RUN_GROUPS_QUERY)
assert 'runGroupsOrError' in result.data
assert 'results' in result.data['runGroupsOrError']
assert len(result.data['runGroupsOrError']['results']) == 4
t2_runs = {
run['runId']: run
for group in result.data['runGroupsOrError']['results']
for run in group['runs']
}
# test full_evolve_run_id
assert t2_runs[full_evolve_run_id]['pipeline'] == {
'__typename': 'PipelineSnapshot',
'name': 'evolving_pipeline',
'solidSelection': None,
}
# test evolve_a_run_id
assert t2_runs[evolve_a_run_id]['pipeline'] == {
'__typename': 'PipelineSnapshot',
'name': 'evolving_pipeline',
'solidSelection': ['solid_A'],
}
assert t2_runs[evolve_a_run_id]['pipelineSnapshotId']
# names same
assert (t1_runs[full_evolve_run_id]['pipeline']['name'] ==
t2_runs[evolve_a_run_id]['pipeline']['name'])
# snapshots differ
assert (t1_runs[full_evolve_run_id]['pipelineSnapshotId'] !=
t2_runs[evolve_a_run_id]['pipelineSnapshotId'])
# pipeline name changed
assert t2_runs[foo_run_id]['pipeline'] == {
'__typename': 'PipelineSnapshot',
'name': 'foo_pipeline',
'solidSelection': None,
}
# subset no longer valid - b renamed
assert t2_runs[evolve_b_run_id]['pipeline'] == {
'__typename': 'PipelineSnapshot',
'name': 'evolving_pipeline',
'solidSelection': ['solid_B'],
}
def test_execute_hammer_through_dagit():
recon_repo = ReconstructableRepository.for_file(
file_relative_path(
__file__, '../../../../examples/dagster_examples/toys/hammer.py'),
'hammer_pipeline',
)
instance = DagsterInstance.local_temp()
execution_manager = SubprocessExecutionManager(instance)
context = DagsterGraphQLContext(
environments=[
InProcessDagsterEnvironment(
recon_repo,
execution_manager=execution_manager,
)
],
instance=instance,
)
executor = SyncExecutor()
variables = {
'executionParams': {
'environmentConfigData': {
'storage': {
'filesystem': {}
},
'execution': {
'dask': {}
}
},
'selector': {
'name': 'hammer_pipeline'
},
'mode': 'default',
}
}
start_pipeline_result = graphql(
request_string=START_PIPELINE_EXECUTION_MUTATION,
schema=create_schema(),
context=context,
variables=variables,
executor=executor,
)
if start_pipeline_result.errors:
raise Exception('{}'.format(start_pipeline_result.errors))
run_id = start_pipeline_result.data['startPipelineExecution']['run'][
'runId']
context.legacy_environment.execution_manager.join()
subscription = execute_dagster_graphql(context,
SUBSCRIPTION_QUERY,
variables={'runId': run_id})
subscribe_results = []
subscription.subscribe(subscribe_results.append)
messages = [
x['__typename']
for x in subscribe_results[0].data['pipelineRunLogs']['messages']
]
assert 'PipelineStartEvent' in messages
assert 'PipelineSuccessEvent' in messages
pipelines {
name
}
}
}
}
}
"""
@pytest.mark.parametrize(
"instance",
[
DagsterInstance.ephemeral(),
DagsterInstance.local_temp(
overrides={"opt_in": {
"local_servers": True
}}),
],
)
def test_smoke_app(instance):
with get_workspace_from_kwargs(
dict(module_name="dagit_tests.toy.bar_repo", definition="bar"),
instance) as workspace:
flask_app = app.create_app_from_workspace(workspace, instance)
client = flask_app.test_client()
result = client.post(
"/graphql",
data={"query": SMOKE_TEST_QUERY},
)
def test_interrupt_multiproc():
with seven.TemporaryDirectory() as tempdir:
file_1 = os.path.join(tempdir, 'file_1')
file_2 = os.path.join(tempdir, 'file_2')
file_3 = os.path.join(tempdir, 'file_3')
file_4 = os.path.join(tempdir, 'file_4')
# launch a thread the waits until the file is written to launch an interrupt
Thread(target=_send_kbd_int, args=([file_1, file_2, file_3,
file_4], )).start()
results = []
try:
# launch a pipeline that writes a file and loops infinitely
# next time the launched thread wakes up it will send a keyboard
# interrupt
for result in execute_pipeline_iterator(
ExecutionTargetHandle.for_pipeline_python_file(
__file__,
'write_files_pipeline').build_pipeline_definition(),
environment_dict={
'solids': {
'write_1': {
'config': {
'tempfile': file_1
}
},
'write_2': {
'config': {
'tempfile': file_2
}
},
'write_3': {
'config': {
'tempfile': file_3
}
},
'write_4': {
'config': {
'tempfile': file_4
}
},
},
'execution': {
'multiprocess': {
'config': {
'max_concurrent': 4
}
}
},
'storage': {
'filesystem': {}
},
},
instance=DagsterInstance.local_temp(),
):
results.append(result.event_type)
assert False # should never reach
except (DagsterSubprocessError, KeyboardInterrupt):
pass
assert results.count(DagsterEventType.STEP_FAILURE) == 4
assert DagsterEventType.PIPELINE_FAILURE in results
def test_execute_hammer_through_dagit():
recon_repo = ReconstructableRepository.for_file(
file_relative_path(
__file__, "../../../dagster-test/dagster_test/toys/hammer.py"),
"hammer_pipeline",
)
instance = DagsterInstance.local_temp()
context = DagsterGraphQLContext(
workspace=Workspace([
RepositoryLocationHandle.create_in_process_location(
recon_repo.pointer)
]),
instance=instance,
)
selector = infer_pipeline_selector(context, "hammer_pipeline")
executor = SyncExecutor()
variables = {
"executionParams": {
"runConfigData": {
"storage": {
"filesystem": {}
},
"execution": {
"dask": {
"config": {
"cluster": {
"local": {}
}
}
}
},
},
"selector": selector,
"mode": "default",
}
}
start_pipeline_result = graphql(
request_string=LAUNCH_PIPELINE_EXECUTION_MUTATION,
schema=create_schema(),
context=context,
variables=variables,
executor=executor,
)
if start_pipeline_result.errors:
raise Exception("{}".format(start_pipeline_result.errors))
run_id = start_pipeline_result.data["launchPipelineExecution"]["run"][
"runId"]
context.drain_outstanding_executions()
subscription = execute_dagster_graphql(context,
SUBSCRIPTION_QUERY,
variables={"runId": run_id})
subscribe_results = []
subscription.subscribe(subscribe_results.append)
messages = [
x["__typename"]
for x in subscribe_results[0].data["pipelineRunLogs"]["messages"]
]
assert "PipelineStartEvent" in messages
assert "PipelineSuccessEvent" in messages
def test_run_not_found():
context = define_test_subprocess_context(DagsterInstance.local_temp())
result = execute_dagster_graphql(context, RUN_CANCELLATION_QUERY, variables={'runId': 'nope'})
assert result.data['cancelPipelineExecution']['__typename'] == 'PipelineRunNotFoundError'
def test_empty_storage():
instance = DagsterInstance.local_temp()
assert list(instance.all_runs) == []
def _make_airflow_dag(
recon_repo,
pipeline_name,
run_config=None,
mode=None,
instance=None,
dag_id=None,
dag_description=None,
dag_kwargs=None,
op_kwargs=None,
operator=DagsterPythonOperator,
):
check.inst_param(recon_repo, "recon_repo", ReconstructableRepository)
check.str_param(pipeline_name, "pipeline_name")
run_config = check.opt_dict_param(run_config, "run_config", key_type=str)
mode = check.opt_str_param(mode, "mode")
# Default to use the (persistent) system temp directory rather than a TemporaryDirectory,
# which would not be consistent between Airflow task invocations.
if instance is None:
if is_dagster_home_set():
instance = DagsterInstance.get()
else:
instance = DagsterInstance.local_temp(
tempdir=seven.get_system_temp_directory())
check.inst_param(instance, "instance", DagsterInstance)
# Only used for Airflow; internally we continue to use pipeline.name
dag_id = check.opt_str_param(dag_id, "dag_id",
_rename_for_airflow(pipeline_name))
dag_description = check.opt_str_param(dag_description, "dag_description",
_make_dag_description(pipeline_name))
check.subclass_param(operator, "operator", BaseOperator)
dag_kwargs = dict(
{"default_args": DEFAULT_ARGS},
**check.opt_dict_param(dag_kwargs, "dag_kwargs", key_type=str),
)
op_kwargs = check.opt_dict_param(op_kwargs, "op_kwargs", key_type=str)
dag = DAG(dag_id=dag_id, description=dag_description, **dag_kwargs)
pipeline = recon_repo.get_definition().get_pipeline(pipeline_name)
if mode is None:
mode = pipeline.get_default_mode_name()
execution_plan = create_execution_plan(pipeline, run_config, mode=mode)
tasks = {}
coalesced_plan = coalesce_execution_steps(execution_plan)
for solid_handle, solid_steps in coalesced_plan.items():
step_keys = [step.key for step in solid_steps]
operator_parameters = DagsterOperatorParameters(
recon_repo=recon_repo,
pipeline_name=pipeline_name,
run_config=run_config,
mode=mode,
task_id=solid_handle,
step_keys=step_keys,
dag=dag,
instance_ref=instance.get_ref(),
op_kwargs=op_kwargs,
pipeline_snapshot=pipeline.get_pipeline_snapshot(),
execution_plan_snapshot=snapshot_from_execution_plan(
execution_plan,
pipeline_snapshot_id=pipeline.get_pipeline_snapshot_id()),
)
task = operator(operator_parameters)
tasks[solid_handle] = task
for solid_step in solid_steps:
for step_input in solid_step.step_inputs:
for key in step_input.dependency_keys:
prev_solid_handle = execution_plan.get_step_by_key(
key).solid_handle.to_string()
if solid_handle != prev_solid_handle:
tasks[prev_solid_handle].set_downstream(task)
return (dag,
[tasks[solid_handle] for solid_handle in coalesced_plan.keys()])
def test_two_runs_running():
run_id_one = make_new_run_id()
run_id_two = make_new_run_id()
handle = ExecutionTargetHandle.for_pipeline_python_file(
__file__, 'infinite_loop_pipeline')
with get_temp_file_locations(2) as files:
file_one, file_two = files # pylint: disable=unbalanced-tuple-unpacking
instance = DagsterInstance.local_temp()
execution_manager = SubprocessExecutionManager(instance)
pipeline_run_one = instance.create_run(
PipelineRun.create_empty_run(
pipeline_name=infinite_loop_pipeline.name,
run_id=run_id_one,
environment_dict={
'solids': {
'loop': {
'config': {
'file': file_one
}
}
}
},
))
execution_manager.execute_pipeline(handle,
infinite_loop_pipeline,
pipeline_run_one,
instance,
raise_on_error=False)
pipeline_run_two = instance.create_run(
PipelineRun.create_empty_run(
pipeline_name=infinite_loop_pipeline.name,
run_id=run_id_two,
environment_dict={
'solids': {
'loop': {
'config': {
'file': file_two
}
}
}
},
))
execution_manager.execute_pipeline(handle,
infinite_loop_pipeline,
pipeline_run_two,
instance,
raise_on_error=False)
# ensure both runs have begun execution
while not os.path.exists(file_one) and not os.path.exists(file_two):
time.sleep(0.1)
assert execution_manager.is_process_running(run_id_one)
assert execution_manager.is_process_running(run_id_two)
assert execution_manager.terminate(run_id_one)
assert not execution_manager.is_process_running(run_id_one)
assert execution_manager.is_process_running(run_id_two)
assert execution_manager.terminate(run_id_two)
assert not execution_manager.is_process_running(run_id_one)
assert not execution_manager.is_process_running(run_id_two)
def test_runs_over_time():
with seven.TemporaryDirectory() as temp_dir:
instance = DagsterInstance.local_temp(temp_dir)
repo_1 = get_repo_at_time_1()
full_evolve_run_id = execute_pipeline(
repo_1.get_pipeline('evolving_pipeline'), instance=instance).run_id
foo_run_id = execute_pipeline(repo_1.get_pipeline('foo_pipeline'),
instance=instance).run_id
evolve_a_run_id = execute_pipeline(
repo_1.get_pipeline('evolving_pipeline').subset_for_execution(
['solid_A']),
instance=instance,
).run_id
evolve_b_run_id = execute_pipeline(
repo_1.get_pipeline('evolving_pipeline').subset_for_execution(
['solid_B']),
instance=instance,
).run_id
context_at_time_1 = define_context_for_file(__file__,
'get_repo_at_time_1',
instance)
result = execute_dagster_graphql(context_at_time_1, ALL_RUNS_QUERY)
assert result.data
t1_runs = {
run['runId']: run
for run in result.data['pipelineRunsOrError']['results']
}
assert t1_runs[full_evolve_run_id]['pipeline'] == {
'__typename': 'PipelineSnapshot',
'name': 'evolving_pipeline',
'solidSubset': None,
}
assert t1_runs[foo_run_id]['pipeline'] == {
'__typename': 'PipelineSnapshot',
'name': 'foo_pipeline',
'solidSubset': None,
}
assert t1_runs[evolve_a_run_id]['pipeline'] == {
'__typename': 'PipelineSnapshot',
'name': 'evolving_pipeline',
'solidSubset': ['solid_A'],
}
assert t1_runs[evolve_b_run_id]['pipeline'] == {
'__typename': 'PipelineSnapshot',
'name': 'evolving_pipeline',
'solidSubset': ['solid_B'],
}
context_at_time_2 = define_context_for_file(__file__,
'get_repo_at_time_2',
instance)
result = execute_dagster_graphql(context_at_time_2, ALL_RUNS_QUERY)
assert result.data
t2_runs = {
run['runId']: run
for run in result.data['pipelineRunsOrError']['results']
}
assert t2_runs[full_evolve_run_id]['pipeline'] == {
'__typename': 'PipelineSnapshot',
'name': 'evolving_pipeline',
'solidSubset': None,
}
assert t2_runs[evolve_a_run_id]['pipeline'] == {
'__typename': 'PipelineSnapshot',
'name': 'evolving_pipeline',
'solidSubset': ['solid_A'],
}
# pipeline name changed
assert t2_runs[foo_run_id]['pipeline'] == {
'__typename': 'PipelineSnapshot',
'name': 'foo_pipeline',
'solidSubset': None,
}
# subset no longer valid - b renamed
assert t2_runs[evolve_b_run_id]['pipeline'] == {
'__typename': 'PipelineSnapshot',
'name': 'evolving_pipeline',
'solidSubset': ['solid_B'],
}
def test_retry_pipeline_execution():
context = define_test_context(instance=DagsterInstance.local_temp())
result = execute_dagster_graphql(
context,
START_PIPELINE_EXECUTION_QUERY,
variables={
'executionParams': {
'mode': 'default',
'selector': {
'name': 'eventually_successful'
},
'environmentConfigData': retry_config(0),
}
},
)
run_id = result.data['startPipelineExecution']['run']['runId']
logs = result.data['startPipelineExecution']['run']['logs']['nodes']
assert step_did_succeed(logs, 'spawn.compute')
assert step_did_fail(logs, 'fail.compute')
assert step_did_skip(logs, 'fail_2.compute')
assert step_did_skip(logs, 'fail_3.compute')
assert step_did_skip(logs, 'reset.compute')
retry_one = execute_dagster_graphql(
context,
START_PIPELINE_EXECUTION_QUERY,
variables={
'executionParams': {
'mode': 'default',
'selector': {
'name': 'eventually_successful'
},
'environmentConfigData': retry_config(1),
'retryRunId': run_id,
}
},
)
run_id = retry_one.data['startPipelineExecution']['run']['runId']
logs = retry_one.data['startPipelineExecution']['run']['logs']['nodes']
assert step_did_not_run(logs, 'spawn.compute')
assert step_did_succeed(logs, 'fail.compute')
assert step_did_fail(logs, 'fail_2.compute')
assert step_did_skip(logs, 'fail_3.compute')
assert step_did_skip(logs, 'reset.compute')
retry_two = execute_dagster_graphql(
context,
START_PIPELINE_EXECUTION_QUERY,
variables={
'executionParams': {
'mode': 'default',
'selector': {
'name': 'eventually_successful'
},
'environmentConfigData': retry_config(2),
'retryRunId': run_id,
}
},
)
run_id = retry_two.data['startPipelineExecution']['run']['runId']
logs = retry_two.data['startPipelineExecution']['run']['logs']['nodes']
assert step_did_not_run(logs, 'spawn.compute')
assert step_did_not_run(logs, 'fail.compute')
assert step_did_succeed(logs, 'fail_2.compute')
assert step_did_fail(logs, 'fail_3.compute')
assert step_did_skip(logs, 'reset.compute')
retry_three = execute_dagster_graphql(
context,
START_PIPELINE_EXECUTION_QUERY,
variables={
'executionParams': {
'mode': 'default',
'selector': {
'name': 'eventually_successful'
},
'environmentConfigData': retry_config(3),
'retryRunId': run_id,
}
},
)
run_id = retry_three.data['startPipelineExecution']['run']['runId']
logs = retry_three.data['startPipelineExecution']['run']['logs']['nodes']
assert step_did_not_run(logs, 'spawn.compute')
assert step_did_not_run(logs, 'fail.compute')
assert step_did_not_run(logs, 'fail_2.compute')
assert step_did_succeed(logs, 'fail_3.compute')
assert step_did_succeed(logs, 'reset.compute')
def test_multiprocessing_execution_for_composite_solid():
environment_dict = {
'solids': {
'composite_with_nested_config_solid': {
'solids': {
'node_a': {
'config': {
'foo': 'baz'
}
},
'node_b': {
'config': {
'bar': 3
}
}
}
}
}
}
handle = ExecutionTargetHandle.for_pipeline_python_file(
__file__, 'composite_pipeline')
instance = DagsterInstance.local_temp()
pipeline_run = instance.create_run_for_pipeline(
pipeline=composite_pipeline,
selector=ExecutionSelector('nonce'),
environment_dict=environment_dict,
)
execution_manager = SubprocessExecutionManager(instance)
execution_manager.execute_pipeline(handle, composite_pipeline,
pipeline_run, instance)
execution_manager.join()
assert instance.get_run_by_id(
pipeline_run.run_id).status == PipelineRunStatus.SUCCESS
environment_dict = {
'solids': {
'composite_with_nested_config_solid': {
'solids': {
'node_a': {
'config': {
'foo': 'baz'
}
},
'node_b': {
'config': {
'bar': 3
}
}
}
}
},
'execution': {
'multiprocess': {}
},
'storage': {
'filesystem': {}
},
}
pipeline_run = instance.create_run_for_pipeline(
pipeline=composite_pipeline,
selector=ExecutionSelector('nonce'),
environment_dict=environment_dict,
)
execution_manager = SubprocessExecutionManager(instance)
execution_manager.execute_pipeline(handle, composite_pipeline,
pipeline_run, instance)
execution_manager.join()
