6 results about "Distributed File System" patented technology

A method of managing on-line user data in a table-level distributed database system is disclosed. At a loading interface, a load request from a client device specifying a new or updated data table, which has been populated in a distributed file system, is received. The load request also specifies a location in the distributed file system and a schema of the data table. The loading interface creates new records in a metadata store, and each new record specifies a mapping between the data table and a particular instance that is to load such data table. Each record also specifies the location and schema for such data table. Based on the new records, each instance also loads the data table. Each instance publishes, in the metadata store, load status specifying that loading of the data table is complete so that such data table can be queried by a query client.

The invention provides a fault processing method, a fault processing device and a storage medium. The method comprises the following steps: judging whether first terminal equipment has a fault or notin the process of executing a first part of services of a distributed service; under the condition that a fault occurs, storing the calling information of the first terminal device in a distributed file system, and storing the distributed service log set of the first terminal device in a distributed file system, wherein the distributed service log set of the first terminal device comprises a plurality of logs generated by the first terminal device in a predetermined time period associated with the time when the fault occurs. According to the method and the device, the call chain can be recorded by using the call chain identifier, a main line is provided for tracking and positioning of the service fault, and the positioning capacity of the equipment after the fault occurs is improved. The collection of related logs is triggered through distributed faults, a heartbeat mechanism does not need to be arranged to detect the abnormal state of equipment, and the influence on normal services isreduced.

The invention discloses a capacity counting method, system and device of a distributed file system and a storage medium. The method includes: acquiring total capacity of a disk in the distributed filesystem when a capacity viewing request sent by a user is received; determining a redundancy rule of the distributed file system, and establishing a correspondence relationship expression between thetotal capacity of the disk and real available capacity of the distributed file system according to the redundancy rule; and substituting the total capacity of the disk into the correspondence relationship expression to obtain the real available capacity of the distributed file system. Compared with the prior art in which displayed capacity is total capacity of disks when users view capacity of distributed file systems, the method considers data redundancy, clearly and intuitively displays the real available capacity for the user, no longer causes misunderstanding which is of the user in a useprocess of the distributed file system and on the capacity, can avoid a case where the size of a to-be-stored file exceeds the real available capacity, and thus the file cannot be saved, and providesan accurate basis for allocating storage space by the user.

The embodiment of the invention relates to a distributed version control method and system based on a block chain. Based on a block chain and a decentralized distributed file system, a decentralized Git protocol is realized. The specific content of the object data is stored in the decentralized database, so that the data volume stored on the chain is reduced to the greatest extent, and the storagecost of the data on the chain is reduced. The intelligent contract is used for storing Git reference and authority management, and it is guaranteed that a large amount of data cannot be stored in theintelligent contract. Meanwhile, the technical characteristic of decentralized storage avoids the risk of single-point failure of centralized service and the risk of service party review.