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          • DDL Syntax Overview - GaussDB

            DDL Syntax Overview - GaussDB

            Table 3 SQL statements for defining a CMK Function SQL Statement Creating a CMK CREATE CLIENT MASTER KEY Deleting a CMK DROP CLIENT MASTER KEY Defining a Column Encryption Key (CEK) CEKs are used to encrypt data for the encrypted database feature.

            Help > GaussDB > Developer Guide(Distributed_V2.0-8.x) > SQL Reference > SQL Syntax
          • Agency Management (New) - Data Replication Service

            Agency Management (New) - Data Replication Service

            Table 1 DB engines and policies DB Engine Authorization Policy MySQL RDS ReadOnlyAccess Microsoft SQL Server RDS ReadOnlyAccess PostgreSQL RDS ReadOnlyAccess MongoDB DDS ReadOnlyAccess DDS DDS ReadOnlyAccess GaussDB(DWS) DWS ReadOnlyAccess TaurusDB GaussDBReadOnlyAccess DDM DDMReadOnlyAccess

            Help > Data Replication Service > Service Overview
          • Kubernetes 1.11 (EOM) Release Notes - Cloud Container Engine

            Kubernetes 1.11 (EOM) Release Notes - Cloud Container Engine

            Node pools, VMs, and Kunpeng clusters can be created. BMS nodes can be created in a CCE cluster (when the VPC network model is used), and hybrid deployment of BMSs and VMs is supported. Support for GPU V100.

            Help > Cloud Container Engine > User Guide > Clusters > Cluster Version Release Notes > Kubernetes Version Release Notes
          • Kubernetes 1.11 (EOM) Release Notes - Cloud Container Engine

            Kubernetes 1.11 (EOM) Release Notes - Cloud Container Engine

            Node pools, VMs, and Kunpeng clusters can be created. BMS nodes can be created in a CCE cluster (when the VPC network model is used), and hybrid deployment of BMSs and VMs is supported. Support for GPU V100 is provided.

            Help > Cloud Container Engine > Product Bulletin > Product Release Notes > Cluster Versions > Kubernetes Version Release Notes
          • Waking Up a Cluster - Cloud Container Engine

            Waking Up a Cluster - Cloud Container Engine

            After the cluster is woken up, master node resources continue to be billed. Calling Method For details, see Calling APIs.

            Help > Cloud Container Engine > API Reference > APIs > Cluster Management
          • Querying Server Hardware Details - Cloud Data Center

            Querying Server Hardware Details - Cloud Data Center

            " : "64-bit Capable| Multi-Core| Hardware Thread| Execute Protection| Enhanced Virtualization| Power/Performance Control", "serial_number" : "21B4118D798F0112", "total_enabled_threads" : 0, "total_cores" : 26, "total_threads" : 52, "model" : "Intel(R) Xeon(R) Gold

            Help > Cloud Data Center > API Reference > API > Physical Server Management
          • Creating a Custom Training Image (MPI + CPU/GPU) - ModelArts

            Creating a Custom Training Image (MPI + CPU/GPU) - ModelArts

            3 Preparing an Image Server Obtain a Linux x86_64 server running Ubuntu 18.04.

            Help > ModelArts > ModelArts User Guide (Standard) > Creating a Custom Image for ModelArts Standard > Creating a Custom Image for Model Training
          • Prometheus (EOM) - Cloud Container Engine

            Prometheus (EOM) - Cloud Container Engine

            It is the control center of the entire system. prometheus (server): a Prometheus Server cluster deployed by the operator based on the Prometheus CRDs that can be regarded as StatefulSets. prometheus-kube-state-metrics: converts the Prometheus metric data into a format that can be

            Help > Cloud Container Engine > User Guide > Add-ons > Cloud Native Observability Add-ons
          • Example: Creating a Custom Image for Training (Horovod-PyTorch and GPUs) - ModelArts

            Example: Creating a Custom Image for Training (Horovod-PyTorch and GPUs) - ModelArts

            torch.cuda.set_device(hvd.local_rank()) cudnn.benchmark = True # Set up standard model. model = getattr(models, args.model)() # By default, Adasum doesn't need scaling up learning rate. lr_scaler = hvd.size() if not args.use_adasum else 1 if args.cuda: # Move model to GPU.

            Help > ModelArts > Image Management > Using a Custom Image to Train Models (Model Training) > Example: Creating a Custom Image for Training
          • Resource and Cost Planning - Cloud-Native Application Modernization

            Resource and Cost Planning - Cloud-Native Application Modernization

            Table 2 Hardware configuration (adjusted based on the service pressure) Server Role Master, slave, global, log, and monitoring Master node in a service cluster Prometheus in a service cluster Slave node in a service cluster Number of Server 3 3 x 2 (two service clusters) 1 x 2 10

            Help > Alauda Container Platform
          • Registering a Device (Password Mode) - IoT

            Registering a Device (Password Mode) - IoT

            Response Parameters Status Code: 200 OK Parameter Type Description deviceId String(256) Uniquely identifies a device.

            Help > IoT > API Reference > Northbound API Reference > Device Management
          • Preparing Development and Operating Environment - MapReduce Service

            Preparing Development and Operating Environment - MapReduce Service

            Select the platform type based on the type of the node where the client is to be installed (select x86_64 for the x86 architecture and aarch64 for the Arm architecture) and click OK.

            Help > MapReduce Service > Developer Guide (Normal_3.x) > MapReduce Development Guide (Normal Mode) > Environment Preparation
          • Preparing Development and Operating Environment - MapReduce Service

            Preparing Development and Operating Environment - MapReduce Service

            Select the platform type based on the type of the node where the client is to be installed (select x86_64 for the x86 architecture and aarch64 for the Arm architecture) and click OK.

            Help > MapReduce Service > Developer Guide (LTS) > MapReduce Development Guide (Normal Mode) > Environment Preparation
          • Preparing for Development and Operating Environment - MapReduce Service

            Preparing for Development and Operating Environment - MapReduce Service

            Select the platform type based on the type of the node where the client is to be installed (select x86_64 for the x86 architecture and aarch64 for the Arm architecture) and click OK.

            Help > MapReduce Service > Developer Guide (LTS) > MapReduce Development Guide (Security Mode) > Environment Preparation
          • Changing Cluster DCS Instances to be Across AZs - Distributed Cache Service

            Changing Cluster DCS Instances to be Across AZs - Distributed Cache Service

            Changing Cluster DCS Instances to be Across AZs To implement disaster recovery, cluster instances (whose master and standby nodes are) in a single AZ can be deployed across AZs by migrating the standby nodes to other AZs.

            Help > Distributed Cache Service > User Guide > Changing an Instance
          • Example: Creating a Custom Image for Training (MindSpore and GPUs) - ModelArts

            Example: Creating a Custom Image for Training (MindSpore and GPUs) - ModelArts

            Figure 1 Run logs of training jobs with GPU specifications (one compute node) Figure 2 Run logs of training jobs with GPU specifications (two compute nodes) Parent topic: Example: Creating a Custom Image for Training

            Help > ModelArts > Image Management > Using a Custom Image to Train Models (Model Training) > Example: Creating a Custom Image for Training
          • Querying a Device Information List - IoT

            Querying a Device Information List - IoT

            Check whether appId in the request path (URL) is correct. 500 50252 Internal server error. An internal server error occurs. Recommended handling: An internal error occurs on the IoT platform. Contact IoT platform maintenance personnel. Parent topic: Data Collection

            Help > IoT > API Reference > Northbound PHP SDK API Reference > Service API List > Data Collection
          • Querying a Device Information List - IoT

            Querying a Device Information List - IoT

            QuerySingleDeviceInfoOutDTO structure Parameter Type Description deviceId String(256) Uniquely identifies a device. gatewayId String(256) Identifies a gateway. nodeType Enum Indicates the node type.

            Help > IoT > API Reference > Northbound Python SDK API Reference > Service API List > Data Collection
          • Querying Device Information in Batches - IoT

            Querying Device Information in Batches - IoT

            The upper camel case is used, for example, MultiSensor, ContactSensor, and CameraGateway. model String(256) Indicates the device model. swVersion String(256) Indicates the software version of the device. fwVersion String(256) Indicates the firmware version of the device. hwVersion

            Help > IoT > API Reference > Northbound API Reference > Data Collection
          • Preparing an HDFS Application Development and Runtime Environment - MapReduce Service

            Preparing an HDFS Application Development and Runtime Environment - MapReduce Service

            Select the platform type based on the type of the node where the client is to be installed (select x86_64 for the x86 architecture and aarch64 for the Arm architecture) and click OK.

            Help > MapReduce Service > Developer Guide (LTS) > HDFS Development Guide (Normal Mode) > Preparing an HDFS Application Development Environment
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