�→ the number of keys processed by the Coprocessor (PROCESSED_KEYS �→ ) and request units (RU) as identifying �→ conditions, and puts identified queries into the specified resource keys and request units as thresholds #54434 @HuSharp Starting from v8.4.0, TiDB can identify runaway queries based on the number of pro- cessed keys (PROCESSED_KEYS) and request units (RU). Compared with distribution of data on the storage node (TiKV). If multiple queries are performed, different storage units (Regions) of the storage nodes (TiKV) return results at different speeds, which can cause unstable

�→ the number of keys processed by the Coprocessor (PROCESSED_KEYS �→ ) and request units (RU) as identifying �→ conditions, and puts identified queries into the specified resource keys and request units as thresholds #54434 @HuSharp Starting from v8.4.0, TiDB can identify runaway queries based on the number of pro- cessed keys (PROCESSED_KEYS) and request units (RU). Compared with distribution of data on the storage node (TiKV). If multiple queries are performed, different storage units (Regions) of the storage nodes (TiKV) return results at different speeds, which can cause unstable

distribution of data on the storage node (TiKV). If multiple queries are performed, different storage units (Regions) of the storage nodes (TiKV) return results at different speeds, which can cause unstable can more accurately obtain the CPU consumption of different queries and convert it into Re- quest Units (RU) for deduction. Traffic control is implemented using a token bucket algorithm. • TiFlash scheduling: distributed database cluster into multiple logical units. Even if an individual unit overuses resources, it does not crowd out the resources needed by other units. With this feature, you can: • Combine multiple

feature is a milestone for TiDB. You can divide a distributed database cluster into multiple logical units, map different database users to corresponding resource groups, and set the quota for each resource distribution of data on the storage node (TiKV). If multiple queries are performed, different storage units (Regions) of the storage nodes (TiKV) return results at different speeds, which can cause unstable distributed database cluster into multiple logical units. Even if an individual unit overuses resources, it does not crowd out the resources needed by other units. With this feature, you can: • Combine multiple

distribution of data on the storage node (TiKV). If multiple queries are performed, different storage units (Regions) of the storage nodes (TiKV) return results at different speeds, which can cause unstable can more accurately obtain the CPU consumption of different queries and convert it into Re- quest Units (RU) for deduction. Traffic control is implemented using a token bucket algorithm. • TiFlash scheduling: distributed database cluster into multiple logical units. Even if an individual unit overuses resources, it does not crowd out the resources needed by other units. With this feature, you can: • Combine multiple

distribution of data on the storage node (TiKV). If multiple queries are performed, different storage units (Regions) of the storage nodes (TiKV) return results at different speeds, which can cause unstable can more accurately obtain the CPU consumption of different queries and convert it into Re- quest Units (RU) for deduction. Traffic control is implemented using a token bucket algorithm. • TiFlash scheduling: distributed database cluster into multiple logical units. Even if an individual unit overuses resources, it does not crowd out the resources needed by other units. With this feature, you can: • Combine multiple

distribution of data on the storage node (TiKV). If multiple queries are performed, different storage units (Regions) of the storage nodes (TiKV) return results at different speeds, which can cause unstable can more accurately obtain the CPU consumption of different queries and convert it into Re- quest Units (RU) for deduction. Traffic control is implemented using a token bucket algorithm. • TiFlash scheduling: distributed database cluster into multiple logical units. Even if an individual unit overuses resources, it does not crowd out the resources needed by other units. With this feature, you can: • Combine multiple

distribution of data on the storage node (TiKV). If multiple queries are performed, different storage units (Regions) of the storage nodes (TiKV) return results at different speeds, which can cause unstable can more accurately obtain the CPU consumption of different queries and convert it into Re- quest Units (RU) for deduction. Traffic control is implemented using a token bucket algorithm. • TiFlash scheduling: distributed database cluster into multiple logical units. Even if an individual unit overuses resources, it does not crowd out the resources needed by other units. With this feature, you can: • Combine multiple

distribution of data on the storage node (TiKV). If multiple queries are performed, different storage units (Regions) of the storage nodes (TiKV) return results at different speeds, which can cause unstable can more accurately obtain the CPU consumption of different queries and convert it into Re- quest Units (RU) for deduction. Traffic control is implemented using a token bucket algorithm. • TiFlash scheduling: distributed database cluster into multiple logical units. Even if an individual unit overuses resources, it does not crowd out the resources needed by other units. With this feature, you can: • Combine multiple

distribution of data on the storage node (TiKV). If multiple queries are performed, different storage units (Regions) of the storage nodes (TiKV) return results at different speeds, which can cause unstable can more accurately obtain the CPU consumption of different queries and convert it into Re- quest Units (RU) for deduction. Traffic control is implemented using a token bucket algorithm. • TiFlash scheduling: distributed database cluster into multiple logical units. Even if an individual unit overuses resources, it does not crowd out the resources needed by other units. With this feature, you can: • Combine multiple