Distributed Database System and Data Processing Method

One or more computer readable media storing executable instructions that, when executed by one or more processors of a target storage module, cause the one or more processors to perform acts comprising:

• executing a target transaction according to an execution instruction after receiving the execution instruction from a computing module, wherein the target storage module is a single-chip database;
• returning a message that the target transaction is successfully executed to the computing module when the target transaction is executed successfully;
• and
• receiving a commit instruction, committing the target transaction according to the commit instruction, and generating a binary log according to a commit timestamp of the target transaction, wherein:
• the commit instruction includes the target transaction that is to be committed and the commit timestamp of the target transaction, the commit timestamp being a globally ordered timestamp generated by a timestamp generator that is different from the computing module that sends the execution instruction and the commit instruction and the target storage module that executes the target transaction,
• the commit instruction causes the target storage module to generate a new binary log for the target transaction after the target transaction is committed, and
• the new binary log includes the commit timestamp of the target transaction.

A system used in a distributed database based on database sharding, the system comprising:

• one or more processors;
• and
• memory storing executable instructions that, when executed by the one or more processors, cause the one or more processors to perform acts comprising:
• reading different memory sequences of a plurality of executable modules;
• obtaining commit timestamps of target transactions in binary logs in the different memory sequences of the plurality of executable modules, one binary log corresponding to one target transaction, wherein the commit timestamps are globally ordered timestamps generated by a timestamp generator that is different from a computing module that sends execution instructions and commit instructions and target storage modules that execute the target transactions;
• ordering the binary logs in the different memory sequences according to the commit timestamps of the target transactions;
• and
• writing the ordered binary logs into a message queue.