# Getting Started Tutorial failure at step 3 - KeyError

**URL:** <https://discourse.greatexpectations.io/t/getting-started-tutorial-failure-at-step-3-keyerror/1149>\
**Category:** Archive\
**Created:** [December 1, 2022, 3:48pm UTC](https://discourse.greatexpectations.io/t/getting-started-tutorial-failure-at-step-3-keyerror/1149 "2022-12-01T15:48:02Z")\
**Posts on this page:** 1\
**Page:** 1

<div class="post-metadata">

**Author:** ![snirisl](https://yyz1.discourse-cdn.com/flex031/user_avatar/discourse.greatexpectations.io/snirisl/32/173_2.png) [@snirisl](https://discourse.greatexpectations.io/u/snirisl)\
**Post date:** [December 1, 2022, 3:48pm UTC](https://discourse.greatexpectations.io/t/getting-started-tutorial-failure-at-step-3-keyerror/1149/1 "2022-12-01T15:48:02Z")

</div>

Hi - I’m new to GX and I’m following the Getting Started tutorial. I’m getting KeyError at step 3 that I cannot find help for it online and was wondering if someone can help me here. Attaching the Traceback

```auto
KeyError Traceback (most recent call last)
Cell In[3], line 1
----> 1 result = context.assistants.onboarding.run(
      2 batch_request=batch_request,
      3 exclude_column_names=exclude_column_names,
      4 )
      5 validator.expectation_suite = result.get_expectation_suite(
      6 expectation_suite_name=expectation_suite_name
      7 )

File <makefun-gen-0>:2, in run(batch_request, estimation, include_column_names, exclude_column_names, include_column_name_suffixes, exclude_column_name_suffixes, semantic_type_filter_module_name, semantic_type_filter_class_name, max_unexpected_values, max_unexpected_ratio, min_max_unexpected_values_proportion, allowed_semantic_types_passthrough, cardinality_limit_mode, max_unique_values, max_proportion_unique, table_rule, column_value_uniqueness_rule, column_value_nullity_rule, column_value_nonnullity_rule, numeric_columns_rule, datetime_columns_rule, text_columns_rule, categorical_columns_rule)

File ~/.virtualenvs/ge_discovery/lib/python3.9/site-packages/great_expectations/rule_based_profiler/data_assistant/data_assistant_runner.py:172, in DataAssistantRunner.run_impl.<locals>.run(batch_request, estimation, **kwargs)
    162 variables_directives_list: List[
    163 RuntimeEnvironmentVariablesDirectives
    164 ] = build_variables_directives(
   (...)
    167 **variables_directives_kwargs,
    168 )
    169 domain_type_directives_list: List[
    170 RuntimeEnvironmentDomainTypeDirectives
    171 ] = build_domain_type_directives(**domain_type_directives_kwargs)
--> 172 data_assistant_result: DataAssistantResult = data_assistant.run(
    173 variables_directives_list=variables_directives_list,
    174 domain_type_directives_list=domain_type_directives_list,
    175 )
    176 return data_assistant_result

File ~/.virtualenvs/ge_discovery/lib/python3.9/site-packages/great_expectations/rule_based_profiler/data_assistant/data_assistant.py:538, in DataAssistant.run(self, variables, rules, variables_directives_list, domain_type_directives_list)
    532 batches = {}
    534 data_assistant_result = DataAssistantResult(
    535 _batch_id_to_batch_identifier_display_name_map=self._batch_id_to_batch_identifier_display_name_map(),
    536 _usage_statistics_handler=usage_statistics_handler,
    537 )
--> 538 run_profiler_on_data(
    539 data_assistant=self,
    540 data_assistant_result=data_assistant_result,
    541 profiler=self._profiler,
    542 variables=variables,
    543 rules=rules,
    544 batch_list=list(batches.values()),
    545 batch_request=None,
    546 variables_directives_list=variables_directives_list,
    547 domain_type_directives_list=domain_type_directives_list,
    548 )
    549 return self._build_data_assistant_result(
    550 data_assistant_result=data_assistant_result
    551 )

File ~/.virtualenvs/ge_discovery/lib/python3.9/site-packages/great_expectations/util.py:223, in measure_execution_time.<locals>.execution_time_decorator.<locals>.compute_delta_t(*args, **kwargs)
    221 time_begin: float = (getattr(time, method))()
    222 try:
--> 223 return func(*args, **kwargs)
    224 finally:
    225 time_end: float = (getattr(time, method))()

File ~/.virtualenvs/ge_discovery/lib/python3.9/site-packages/great_expectations/rule_based_profiler/data_assistant/data_assistant.py:726, in run_profiler_on_data(data_assistant, data_assistant_result, profiler, variables, rules, batch_list, batch_request, variables_directives_list, domain_type_directives_list)
    720 rules_configs: Optional[Dict[str, Dict[str, Any]]] = {
    721 rule.name: rule.to_json_dict() for rule in rules
    722 }
    723 comment: str = f"""Created by effective Rule-Based Profiler of {data_assistant. __class__. __name__ } with the \
    724 configuration included.
    725 """
--> 726 rule_based_profiler_result: RuleBasedProfilerResult = profiler.run(
    727 variables=variables,
    728 rules=rules_configs,
    729 batch_list=batch_list,
    730 batch_request=batch_request,
    731 recompute_existing_parameter_values=False,
    732 reconciliation_directives=DEFAULT_RECONCILATION_DIRECTIVES,
    733 variables_directives_list=variables_directives_list,
    734 domain_type_directives_list=domain_type_directives_list,
    735 comment=comment,
    736 )
    737 result: DataAssistantResult = data_assistant_result
    738 result.profiler_config = profiler.config

File ~/.virtualenvs/ge_discovery/lib/python3.9/site-packages/great_expectations/core/usage_statistics/usage_statistics.py:304, in usage_statistics_enabled_method.<locals>.usage_statistics_wrapped_method(*args, **kwargs)
    301 if args_payload_fn is not None:
    302 nested_update(event_payload, args_payload_fn(*args, **kwargs))
--> 304 result = func(*args, **kwargs)
    305 message["success"] = True
    306 except Exception:

File ~/.virtualenvs/ge_discovery/lib/python3.9/site-packages/great_expectations/rule_based_profiler/rule_based_profiler.py:323, in BaseRuleBasedProfiler.run(self, variables, rules, batch_list, batch_request, recompute_existing_parameter_values, reconciliation_directives, variables_directives_list, domain_type_directives_list, comment)
    314 rule: Rule
    315 for rule in pbar_method(
    316 effective_rules,
    317 desc="Generating Expectations:",
   (...)
    321 bar_format="{desc:25}{percentage:3.0f}%|{bar}{r_bar}",
    322 ):
--> 323 rule_state = rule.run(
    324 variables=effective_variables,
    325 batch_list=batch_list,
    326 batch_request=batch_request,
    327 recompute_existing_parameter_values=recompute_existing_parameter_values,
    328 reconciliation_directives=reconciliation_directives,
    329 rule_state=RuleState(),
    330 )
    331 self.rule_states.append(rule_state)
    333 return RuleBasedProfilerResult(
    334 fully_qualified_parameter_names_by_domain=self.get_fully_qualified_parameter_names_by_domain(),
    335 parameter_values_for_fully_qualified_parameter_names_by_domain=self.get_parameter_values_for_fully_qualified_parameter_names_by_domain(),
   (...)
    361 _usage_statistics_handler=self._usage_statistics_handler,
    362 )

File ~/.virtualenvs/ge_discovery/lib/python3.9/site-packages/great_expectations/util.py:223, in measure_execution_time.<locals>.execution_time_decorator.<locals>.compute_delta_t(*args, **kwargs)
    221 time_begin: float = (getattr(time, method))()
    222 try:
--> 223 return func(*args, **kwargs)
    224 finally:
    225 time_end: float = (getattr(time, method))()

File ~/.virtualenvs/ge_discovery/lib/python3.9/site-packages/great_expectations/rule_based_profiler/rule/rule.py:138, in Rule.run(self, variables, batch_list, batch_request, recompute_existing_parameter_values, reconciliation_directives, rule_state)
    135 pbar_method: Callable = determine_progress_bar_method_by_environment()
    137 domain: Domain
--> 138 for domain in pbar_method(
    139 domains,
    140 desc="Profiling Dataset:",
    141 position=1,
    142 leave=False,
    143 bar_format="{desc:25}{percentage:3.0f}%|{bar}{r_bar}",
    144 ):
    145 rule_state.initialize_parameter_container_for_domain(domain=domain)
    147 parameter_builders: List[ParameterBuilder] = self.parameter_builders or []

File ~/.virtualenvs/ge_discovery/lib/python3.9/site-packages/tqdm/notebook.py:259, in tqdm_notebook. __iter__ (self)
    257 try:
    258 it = super(tqdm_notebook, self). __iter__ ()
--> 259 for obj in it:
    260 # return super(tqdm...) will not catch exception
    261 yield obj
    262 # NB: except ... [as ...] breaks IPython async KeyboardInterrupt

File ~/.virtualenvs/ge_discovery/lib/python3.9/site-packages/tqdm/std.py:1210, in tqdm. __iter__ (self)
   1208 finally:
   1209 self.n = n
-> 1210 self.close()

File ~/.virtualenvs/ge_discovery/lib/python3.9/site-packages/tqdm/notebook.py:293, in tqdm_notebook.close(self)
    291 self.disp(bar_style='success', check_delay=False)
    292 else:
--> 293 self.disp(close=True, check_delay=False)

File ~/.virtualenvs/ge_discovery/lib/python3.9/site-packages/tqdm/notebook.py:192, in tqdm_notebook.display(self, msg, pos, close, bar_style, check_delay)
    190 if close and pbar.bar_style != 'danger': # hide only if no error
    191 try:
--> 192 self.container.close()
    193 except AttributeError:
    194 self.container.visible = False

File ~/.virtualenvs/ge_discovery/lib/python3.9/site-packages/ipywidgets/widgets/widget.py:500, in Widget.close(self)
    498 if self.comm is not None:
    499 Widget._active_widgets.pop(self.model_id, None)
--> 500 self.comm.close()
    501 self.comm = None
    502 self._repr_mimebundle_ = None

File ~/.virtualenvs/ge_discovery/lib/python3.9/site-packages/comm/base_comm.py:109, in BaseComm.close(self, data, metadata, buffers, deleting)
    101 self.publish_msg(
    102 "comm_close",
    103 data=data,
    104 metadata=metadata,
    105 buffers=buffers,
    106 )
    107 if not deleting:
    108 # If deleting, the comm can't be registered
--> 109 comm.get_comm_manager().unregister_comm(self)

File ~/.virtualenvs/ge_discovery/lib/python3.9/site-packages/comm/base_comm.py:199, in CommManager.unregister_comm(self, comm)
    197 """Unregister a comm, and close its counterpart"""
    198 # unlike get_comm, this should raise a KeyError
--> 199 comm = self.comms.pop(comm.comm_id)

KeyError: 'cea6fe98f8a942b3b9448468cf53de63'

```