Hi Ben, Appreciate your quick and kind response. I have one more question. After reading your answer, I've started to develope using "time-seriese" api. During programming, I found a problem with data before about 30 days. I'd like to obtain a every single minute's data of whole period but, It might be only available every 10 minute's( or longer) data set when I tried to get old resource data. I used this api below. Could you help me know how to get every single minute's such as, cpu/mem usage ? import time import datetime api_instance = cm_client.TimeSeriesResourceApi(api_client) from_time = datetime.datetime.fromtimestamp(time.time() - 7776000) to_time = datetime.datetime.fromtimestamp(time.time()) query = "select cpu_user_rate "\ " where entityname = 'xx' " # Retrieve time-series data from the Cloudera Manager (CM) time-series data store using a tsquery. result = api_instance.query_time_series(_from=from_time, query=query, to=to_time)#, desired_rollup='RAW', must_use_desired_rollup = 'true') ts_list = result.items[0] for ts in ts_list.time_series: print (ts.metadata.attributes['entityName'], ts.metadata.metric_name) for point in ts.data: print (point.timestamp, point.value) Appreciate your response. Ben,
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