Beijing Baidu Netcom Science and Technology Co., Ltd.

Baidu Online Network Technology (beijing) Co., Ltd.

Yuncong Zhang

Cong Wang

Yao Xu

Xin Huang

Hua Chai

Jianwei Zhang

Xiang Wen

Guanyin Zhu

Zhan Song

Chunyang Wen

The present disclosure discloses a task processing method and a distributed computing framework. A specific embodiment of the method includes: parsing an expression corresponding to a distributed computing task, and constructing task description information corresponding to the distributed computing task, the task description information being used to describe a corresponding relationship between an operator and a distributed dataset, and the operator acting on at least one of the distributed dataset or distributed datasets obtained by grouping the distributed dataset; determining, based on the task description information, a distributed dataset the operator acting on; and performing distributed computing on the distributed dataset the operator acting on using the operator. In the distributed computing, the acting scope and nesting relationship of the operator is described by constructing a topology.

Task processing method and distributed computing framework

A method and apparatus for executing a distributed computing task are provided. The method can include: parsing an expression of the distributed computing task to obtain an operator keyword; and executing, by using an operator corresponding to the operator keyword, the distributed computing task based on an input parameter of the operator, the input parameter of the operator including at least one of: a distributed stored distributed dataset including at least one data element, a distributed stored distributed key-value pair set including at least one key-value pair, and a value of the key-value pair in the distributed key-value pair set being a distributed dataset or a distributed key-value pair set.

Method and apparatus for executing distributed computing task

A distributed computing framework and a distributed computing method are provided. A specific embodiment of the distributed computing framework includes: a parsing unit, configured to parse an expression of a distributed computing task, and determine an operator and a field corresponding to the operator; and an operator unit, configured to provide the operator, input parameters of the operator including: the field and a field-type distributed dataset. The type of parameters received and returned by any operator may be the field-type distributed dataset, and any operator may operate on the data corresponding to the field in the field-type distributed dataset. Therefore, any operator needs to be implemented once to realize the reuse of the operator. The distributed computing task is expressed in a simple expression, which simplifies the complexity of writing a distributed computing program with the distributed computing framework used by the user.

Distributed computing framework and distributed computing method

A distributed method and apparatus for processing streaming data are disclosed. A specific implementation of the method includes: encapsulating received streaming data as a first resilient distributed dataset; performing a grouping operation on the first resilient distributed dataset based on time windows, the grouping operation comprising: assigning each data element in the first resilient distributed dataset into a group corresponding to a time window to which a recorded timestamp of the data element belongs, and forming second resilient distributed datasets comprising a limited number of data elements and respectively corresponding to the time windows; encapsulating the second resilient distributed datasets as a nested dataset comprising a plurality of the second resilient distributed datasets; passing, using a predefined traversal operator, each of the second resilient distributed datasets in the nested dataset successively to a batch operator defined in a finite dataset to perform distributed data processing.

Distributed method and apparatus for processing streaming data

Growing community of inventors

Beijing, China

Yuncong Zhang