Lemon Inc.

Beijing Volcano Engine Technology Co., Ltd.

Douyin Vision Co., Ltd.

Jianfeng Qian

Jianjun Chen

Wei Ding

Li Feng Zhang

Rui Shi

Yuanjin Lin

Shicai Zeng

This disclosure provides a query task execution method, apparatus, computer device, storage medium. The method includes: receiving a query task for a target data table; determining at least one candidate degree of parallelism for executing the query task based on a first number of child tables obtained by pre-partitioning the target data table; selecting a target degree of parallelism within a preset range of degrees of parallelism from the at least one candidate degree of parallelism; and determining required computing units according to the target degree of parallelism, and evenly allocating the child tables to the computing units which concurrently execute the query task based on the allocated child tables.

Query task execution method, apparatus, computer device and storage medium

A hybrid transactional/analytical processing (HTAP) database includes an online transaction processing (OLTP) engine, an online analytical processing (OLAP) engine provided separately from the OLTP engine, and a shared storage holding data of multiple tenants. The shared storage is configured to receive a request from the OLAP engine for evaluation of a predicate against the data stored on the shared storage. The shared storage is further configured to determine that a CPU utilization of the shared storage exceeds a predicate refusal threshold. Upon determining that the CPU utilization of the shared storage exceeds the predicate refusal threshold, the shared storage is further configured to refrain from evaluating at least a portion of the predicate.

Predicate evaluation based on CPU utilization of shared storage

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Jianfeng Qian