The invention relates to a micro-service and big data scheduling method, which comprises a micro-service scheduling method and a big data scheduling method, and is characterized in that the big data scheduling method comprises the following steps of: 1, extracting data from a database to hadoop by adopting an sqoop program; 2, reading the extracted data by utilizing SparkSQL (Structured Query Language) for calculation; and 3, after the data calculation is completed, storing the data into a database or directly calling a resful service. The big data scheduling method disclosed by the inventionhas the advantages that 1, a data exporting command is generated by a program, so that errors are avoided; 2, a calculation program is executed by a management program, and errors are avoided; 3, allwork is controlled by a program, and the execution modes and methods are relatively unified; 4, a scheduling platform is utilized, and extraction and calculation programs can be executed regularly; and 5, the SparkSQL can be configured, only corresponding SQL statements need to be written for different tasks, and a complete program does not need to be written.