The application discloses a
time series data processing method and device, equipment and storage medium, relates to the technical field of
data processing, and comprises the following steps: mapping an original
time series data file to a
virtual address space to obtain mapped
time series data; performing parallel pre-scanning on the mapped time
series data through a plurality of analysis threads, and counting the amount of data to be processed corresponding to each calculation thread; allocating a dedicated memory area to each calculation thread according to the amount of data to be processed, completely analyzing the mapped time
series data through each analysis thread, distributing the analyzed mapped time
series data to the dedicated memory area of each calculation thread, and independently performing parallel calculation to obtain the statistical characteristics of the mapped time series data; and aggregating the statistical characteristics to a global result pointer array in the
original data order, and asynchronously writing the completed statistical characteristics in the global result pointer array into a storage device in the process of parallel calculation of the calculation thread. The application can realize efficient and low-
delay processing of massive time series data.