Hefei Sway Chip Information Technology Inc.

Junling Xiang

Min Zhou

Ruimin Liu

A method and device of data transmission, applied to a distributed database is provided including a plurality of nodes, with accelerator cards provided in at least two of the nodes, the high-speed interfaces of each the accelerator card is interconnected to form a data transmission path, the method including: when the accelerator card receives a database operation command from the CPU of the node requesting access to the target data, generating a data request based on the get data operation or the modify data operation; the accelerator card detects hit the target data in the cache based on the data request, the accelerator card fetches the target data from the cache; otherwise the accelerator card sends a data request message corresponding to the data request to a distant destination node via the data transmission path, and obtains the target data based on the data packet returned from the destination node.

Method and device of data transmission

A method and device for storing data in a distributed database according to a row storage mode and a column storage mode, respectively, the method including: when a change is detected in the data in the row storage mode, obtaining the target row data that has changed based on a preset synchronization policy; determining the number of original data copies and the number of redundant data copies based on the attribute information and the number of failure-resistant nodes of the target row in which the target row data is located; coding the target row data in accordance with a predetermined corrective coding algorithm based on the number of original data copies and the number of redundant data copies, generating coded data; and distributing each copy of the coded data equally by column or group of columns to different nodes in the distributed database for storage.

Method and device for storing data in a distributed database

A method and device for accelerating database operation, applied to a database connected with a hardware accelerator is provided, the method includes: when receiving an initial execution plan tree sent by the database that needs to be accelerated, processing the initial execution plan tree and generating a new execution plan tree and a new execution cost based on the basic operation and accelerated resource supported by the hardware accelerator; if the new execution cost of the new execution plan tree is less than the initial execution cost of the initial execution plan tree, distributing the new execution plan tree to the hardware accelerator for execution based on the organization approach and the operation approach of the hardware accelerator; the execution result returned by the hardware accelerator to complete the accelerated operation of the database operation; determining the result data after the hardware accelerator accelerates the database operation based on the execution results returned by the hardware accelerator, so that the execution plan tree of the database matches the execution function and capability of the hardware accelerator that performs the acceleration and maintains a reasonable complexity.

Method and device for accelerating database operation

A system and method for hierarchical database operation accelerator for scaling a single node database with a plurality of accelerator cards is provided, including: a host, receiving a query plan, generating a corresponding query operation and distributing them, receiving and processing aggregated execution results; a hierarchy accelerator module, which is connected to the host, receiving the query operation distributed and returning the aggregated execution results; the hierarchy accelerator module comprises a master accelerator card and at least one slave accelerator card, the slave accelerator card returns the execution results to the master accelerator card, by the master accelerator card completes the subsequent query operation which is aggregated and assigned by the execution results, returning the aggregated execution results to the host; the accelerator system having a multi-level storage architecture of accelerator chip on-chip cache, the accelerator card memory, the accelerator card storage, and the host-side storage.

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Beijing, China

Junling Xiang