def _metrics(self, appid):
query_profile = self.api.get_query_profile_encoded(appid)
profile = analyzer.analyze(analyzer.parse_data(query_profile))
ANALYZER.pre_process(profile)
metrics = analyzer.metrics(profile)
if ENABLE_QUERY_ANALYSIS.get():
result = ANALYZER.run(profile)
if result and result[0]:
for factor in result[0]['result']:
if factor['reason'] and factor['result_id'] and metrics[
'nodes'].get(factor['result_id']):
metrics['nodes'][
factor['result_id']]['health'] = factor['reason']
return metrics
def alanize_metrics(request):
response = {'status': -1}
cluster = json.loads(request.POST.get('cluster', '{}'))
query_id = json.loads(request.POST.get('query_id'))
api = _get_api(request.user, cluster=cluster)
if query_id:
LOG.debug("Attempting to get Impala query profile for query ID: %s" % (query_id))
query_profile = api.get_query_profile_encoded(query_id)
profile = analyzer.analyze(analyzer.parse_data(query_profile))
ANALYZER.pre_process(profile)
metrics = analyzer.metrics(profile)
response['data'] = metrics
response['status'] = 0
return JsonResponse(response)
def alanize_metrics(request):
response = {'status': -1}
cluster = json.loads(request.POST.get('cluster', '{}'))
query_id = json.loads(request.POST.get('query_id'))
api = _get_api(request.user, cluster=cluster)
if query_id:
LOG.debug("Attempting to get Impala query profile for query ID: %s" % (query_id))
query_profile = api.get_query_profile_encoded(query_id)
profile = analyzer.analyze(analyzer.parse_data(query_profile))
ANALYZER.pre_process(profile)
metrics = analyzer.metrics(profile)
response['data'] = metrics
response['status'] = 0
return JsonResponse(response)
def _metrics(self, appid):
query_profile = self.api.get_query_profile_encoded(appid)
profile = analyzer.analyze(analyzer.parse_data(query_profile))
ANALYZER.pre_process(profile)
return analyzer.metrics(profile)
