Graph data writing method and device

Abstract

Embodiments of this specification provide a method and device for writing graph data. In response to receiving the first map data write request, determine the row lock index of the corresponding row lock of each target write object based on the object identification information of the target write object in the first map data write request, the target write object includes Target write vertices and / or target write edges, each target write object corresponds to a row lock. Based on the row lock index of each target write object, lock each target write object in the first graph data write request. After each target write object in the first map data write request is locked, the map data writing for the first map data write request is executed. After the writing of the graph data of each target write object in the first graph data write request is completed, the row lock held by the first graph data write request is unlocked. After all row locks held by the first graph data write request are unlocked, the graph data writing result is provided to the user.

Description

technical field [0001] The embodiments of this specification generally relate to the field of databases, and in particular, relate to a method and device for writing graph data. Background technique [0002] When the graph database writes vertex / edge data, in order to ensure the accuracy of the data, the corresponding data resources need to be locked and unlocked after the graph data is written. According to this graph data writing method, when hot data is written in the graph database, most of the writing threads in the thread pool in the graph database will be blocked, resulting in the blocking of data writing, resulting in the failure of the graph database. The overall write TPS (Transactions Per Second) dropped significantly. In addition, due to mutual exclusion between locks, hot data write requests cannot be executed concurrently, resulting in low TPS for writing hot data, unable to match the write scale of hot data, and thus a large number of hot data write requests ...

AI Technical Summary

Problems solved by technology

According to this graph data writing method, when hot data is written in the graph database, most of the writing threads in the thread pool in the graph database will be blocked, resulting in the blocking of data writing, resulting in the failure of the graph database. The overall write TPS (Transactions Per Second) dropped sharply

In addition, due to mutual exclusion between locks, hot data write requests cannot be executed concurrently, resulting in low TPS for writing hot data, unable to match the write scale of hot data, and thus a large number of hot data write requests fail or timeout

Images