std::ptrdiff_t { chunk_index == remainder ]}; 了] 了 y 一Range adaptorfor dlstributing work across tasks (CZ) ASM comparison > GCC RISC-V 64-bit assembly manual_loop(long，long): jsc-chunk_evenly unnecessary waiting > Iftasks are scheduled as early as possible, then distributin8g work evenly across tasks can improve performance (O) Future Directions > Support random access in jsc: :chunk_even1y_view<>

ConfigMaps). ● Operators actually allow automatic implementation of typical Day-1 tasks (installation, configuration, etc.) and Day-2 tasks (reconfiguration, upgrade, backup, failover, recovery, etc.), for a io/cronjob-tutorial/webhook-implementationDefaulting - OpenAPI v3 schema https://kubernetes.io/docs/tasks/extend-kubernetes/custom-resources/custom-resource-definitions/#defaulting ● Defaulting is executed

thread: Spawn a new thread for each event handler Pass data to a dedicated background thread Submit tasks to a generic thread poolHow do we move work off the current thread? Possible ways to move the work thread for each event handler Pass data to a dedicated background thread Submit tasks to a generic thread pool Submit tasks to a special purpose executorSpawning new threads There are lots of ways to spawn pending_threads.push_back( std::move(handle)); }Managing thread handles III Can remove completed tasks by periodically checking: void check_for_done_threads(){ for(auto it=pending_threads.begin(); it

of our data ● Queues for logic (work) is not a good idea: ○ We couple logic and data together as tasks because: ■ Task Queues typically contain more than one type of task (different types of logic) ■ By other shortcomings which further complicate issues ● By their nature, queues bring tasks to threads: ○ Requiring tasks to convey both data and logic ○ Often leading to task class hierarchies, pointers to scale ○ Approximately 1/2N memory requirement (N = number of nodes) Work Contract: ● Enhanced “Tasks” separating data from logic: ○ Contain its own logic ○ Asynchronous execution ○ Recurrening execution

replicated when I create a task in TiCDC? · 1198 7.7.3 How do I view the state of TiCDC replication tasks?· · · · · · · · · · · · · · · · 1198 7.7.4 How to verify if TiCDC has replicated all updates after 15.11.2 In TiDB v5.4.0 and later versions, when backup tasks are performed on the cluster under a heavy workload, why does the speed of backup tasks become slow? · · · · · · · · · · · · · · · · · · · · · tolerate the outage of a whole data center. TiDB Operator helps manage TiDB on Kubernetes and automates tasks related to operating the TiDB cluster, making TiDB easier to deploy on any cloud that provides managed

15.11.2 In TiDB v5.4.0 and later versions, when backup tasks are performed on the cluster under a heavy workload, why does the speed of backup tasks become slow? · · · · · · · · · · · · · · · · · · · · · tolerate the outage of a whole data center. TiDB Operator helps manage TiDB on Kubernetes and automates tasks related to operating the TiDB cluster, making TiDB easier to deploy on any cloud that provides managed the maximum limit on resource �→ usage for background tasks of resource control By setting a maximum percentage limit on background tasks of resource �→ control, you can control their resource

15.11.2 In TiDB v5.4.0 and later versions, when backup tasks are performed on the cluster under a heavy workload, why does the speed of backup tasks become slow? · · · · · · · · · · · · · · · · · · · · · the outage of a whole data center. TiDB Operator helps manage TiDB on Kubernetes and 35 automates tasks related to operating the TiDB cluster, making TiDB easier to deploy on any cloud that provides managed are enabled to optimize the ordering of tasks that automatically collect statistics. In future releases, the priority queue will be the only way to order tasks for automatically collecting statistics,

15.11.2 In TiDB v5.4.0 and later versions, when backup tasks are performed on the cluster under a heavy workload, why does the speed of backup tasks become slow? · · · · · · · · · · · · · · · · · · · · · the outage of a whole data center. TiDB Operator helps manage TiDB on Kubernetes and 35 automates tasks related to operating the TiDB cluster, making TiDB easier to deploy on any cloud that provides managed #37338 @lance6716 • Before BR v8.2.0, performing BR data restore on a cluster with TiCDC replication tasks is not supported. Starting from v8.2.0, BR relaxes the restrictions on data restoration for TiCDC:

15.11.2 In TiDB v5.4.0 and later versions, when backup tasks are performed on the cluster under a heavy workload, why does the speed of backup tasks become slow? · · · · · · · · · · · · · · · · · · · · · tolerate the outage of a whole data center. TiDB Operator helps manage TiDB on Kubernetes and automates tasks related to operating the TiDB cluster, making TiDB easier to deploy on any cloud that provides managed Bulk DML (tidb_ �→ dml_type = "bulk") is a new DML type for handling large batch �→ DML tasks more efficiently while providing transaction guarantees and �→ mitigating OOM issues. This feature

stream • Each worker has: High-priority queue (HPQ): store suspended tasks Low-priority queue (LPQ): store new tasks We want to resume a suspended task by the same worker as soon as possible stream • Each worker has: High-priority queue (HPQ): store suspended tasks Low-priority queue (LPQ): store new tasks 61Taro’s Scheduler Taro: https://github.com/dian-lun-lin/taro D A C stream • Each worker has: High-priority queue (HPQ): store suspended tasks Low-priority queue (LPQ): store new tasks Worker 1 1. Offload GPU kernels in task A 2. Suspend task A 3. Go to sleep