The invention discloses an
ephemeris data storage indexing method and equipment based on a
distributed database, belongs to the technical field of
ephemeris data management, and remarkably improves the query performance of
mass spatio-temporal data through a double-table collaborative storage and dynamic index optimization mechanism. The method comprises the following steps: constructing a double-table collaborative
storage structure of an
ephemeris data table and an ephemeris index table; preprocessing ephemeris data, converting the ephemeris data into structured data, arranging and storing the structured data in the double-table collaborative
storage structure according to the sequence of
satellite numbers and
global positioning system weeks, and optimizing the continuity and the
distribution rule of the data; updating the ephemeris index table in real
time based on a
dynamic maintenance mechanism, and triggering self-adaptive index recombination based on a
data fragment splitting event; a two-stage retrieval strategy is adopted, a target data
primary key range and data fragments are quickly positioned through joint indexing,
parallel processing query is carried out to realize cross-node accurate retrieval, and finally, a result is fed back to a
client, so that query
delay of massive ephemeris data is reduced, and query efficiency is improved.