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          • What's New - Data Lake Insight

            What's New - Data Lake Insight

            Function Description Phase Documentation 1 IAM fine-grained authorization You can mange fine-grained permissions of DLI with IAM. Commercial use Creating a Custom Policy 2 Flink 1.10 DLI now supports Flink 1.10. Commercial use Apache Flink Documentation March 2020 No.

            Help > Data Lake Insight > What's New
          • What's New - Data Lake Insight

            What's New - Data Lake Insight

            Function Description Phase Documentation 1 IAM fine-grained authorization DLI supports fine-grained authorization through IAM. Commercial use Creating a Custom Policy 2 Support for Flink 1.10 DLI supports Flink 1.10. Commercial use Apache Flink Documentation March 2020 No.

            Help > Data Lake Insight > What's New
          • How Do I Do If I Receive a Message Saying I Don't Have Sufficient Permissions to Submit My Jobs to the Job Bucket? - Data Lake Insight

            How Do I Do If I Receive a Message Saying I Don't Have Sufficient Permissions to Submit My Jobs to the Job Bucket? - Data Lake Insight

            IAM policies prioritize deny permissions over allow permissions, which means that even if there are allow permissions, the presence of deny permissions will result in authorization failure. Solution Find the DLI job bucket on the OBS management console.

            Help > Data Lake Insight > FAQs > DLI Permissions Management
          • Authentication - Data Lake Insight

            Authentication - Data Lake Insight

            When using a token for authentication, cache it to prevent frequently calling the IAM API.

            Help > Data Lake Insight > API Reference > Calling APIs
          • What Are the Differences Between DLI Flink and MRS Flink? - Data Lake Insight

            What Are the Differences Between DLI Flink and MRS Flink? - Data Lake Insight

            Job templates Preset general Flink SQL templates for quick start N/A Enterprise security Configuring access control Permission control streamlined with Huawei Cloud IAM, and role-based access control N/A Space isolation Tenant-level and project-level isolation resources and code for

            Help > Data Lake Insight > FAQs > DLI Basics
          • Queue Permission Management - Data Lake Insight

            Queue Permission Management - Data Lake Insight

            Figure 1 Queue permission granting Table 1 Parameter descriptions Parameter Description Username Name of the user you want to grant permissions to NOTE: The username must be an existing IAM username and has been used to log in to the DLI management console.

            Help > Data Lake Insight > User Guide > Creating an Elastic Resource Pool and Creating Queues Within It > Managing Queues
          • Querying Logs for Flink Jobs - Data Lake Insight

            Querying Logs for Flink Jobs - Data Lake Insight

            DLI jobs must be set and modified by the main account as IAM users do not have required permissions. You cannot view the logs for DLI jobs before configuring a bucket.

            Help > Data Lake Insight > User Guide > Submitting a Flink Job on the DLI Management Console > Managing Flink Jobs
          • Configuring Flink Job Permissions - Data Lake Insight

            Configuring Flink Job Permissions - Data Lake Insight

            NOTE: This username must be an existing IAM username. In addition, the user can perform authorization operations only after logging in to the Huawei Cloud platform. Permissions to be granted to the user Select all: All permissions are selected.

            Help > Data Lake Insight > User Guide > Submitting a Flink Job on the DLI Management Console
          • Submitting a Spark Jar Job Using DLI - Data Lake Insight

            Submitting a Spark Jar Job Using DLI - Data Lake Insight

            Figure 1 Configuring an agency for DLI Once configured, you can check the agency dli_management_agency in the agency list on the IAM console. Configure a DLI job bucket. Before using DLI to submit jobs, you need to configure a DLI job bucket.

            Help > Data Lake Insight > Getting Started
          • Downloading and Installing the JDBC Driver Package - Data Lake Insight

            Downloading and Installing the JDBC Driver Package - Data Lake Insight

            To obtain the IAM endpoint and region name in the message body, see Regions and Endpoints. Here is an example request: Replace the content in italic in the sample code with the actual values.

            Help > Data Lake Insight > Developer Guide > Connecting to DLI Using a Client > Submitting a SQL Job Using JDBC
          • Downloading and Installing the JDBC Driver Package - Data Lake Insight

            Downloading and Installing the JDBC Driver Package - Data Lake Insight

            To obtain the IAM endpoint and region name in the message body, see Regions and Endpoints. Here is an example request: Replace the content in italic in the sample code with the actual values.

            Help > Data Lake Insight > User Guide > Submitting a SQL Job Using JDBC
          • Submitting a Flink Jar Job Using DLI - Data Lake Insight

            Submitting a Flink Jar Job Using DLI - Data Lake Insight

            Figure 1 Configuring an agency for DLI Once configured, you can check the agency dli_management_agency in the agency list on the IAM console. Configure a DLI job bucket. Before using DLI to submit jobs, you need to configure a DLI job bucket.

            Help > Data Lake Insight > Getting Started
          • Specifying the Lifecycle of a Table When Creating the Table - Data Lake Insight

            Specifying the Lifecycle of a Table When Creating the Table - Data Lake Insight

            You can check whether you have the dli_admin_agency agency in IAM agencies. The table lifecycle function currently only supports creating tables and versioning tables using Hive and Datasource syntax. The unit of the lifecycle is in days. The value should be a positive integer.

            Help > Data Lake Insight > Spark SQL Syntax Reference > Tables > Table Lifecycle Management
          • Submitting a SQL Job to Query OBS Data Using DLI - Data Lake Insight

            Submitting a SQL Job to Query OBS Data Using DLI - Data Lake Insight

            Figure 1 Configuring an agency for DLI Once configured, you can check the agency dli_management_agency in the agency list on the IAM console. Configure a DLI job bucket. Before using DLI to submit jobs, you need to configure a DLI job bucket.

            Help > Data Lake Insight > Getting Started
          • Data Lake Insight Function Overview - Data Lake Insight

            Data Lake Insight Function Overview - Data Lake Insight

            Available in all regions Advantages of Serverless DLI over On-Premises Hadoop DLI Notes and Constraints dli Permission Management DLI has a comprehensive access control mechanism built-in, and also supports fine-grained authentication through Identity and Access Management (IAM).

            Help > Data Lake Insight > Function Overview
          • Permission Policies and Supported Actions for LakeFormation Resources - Data Lake Insight

            Permission Policies and Supported Actions for LakeFormation Resources - Data Lake Insight

            CREATE_FUNC Table/View ALL ALTER DROP DESCRIBE UPDATE INSERT SELECT DELETE Column SELECT Function ALL ALTER DROP DESCRIBE EXEC LakeFormation Permission Policies (Spark) Table 2 LakeFormation permission policies Type SQL Statement Permission to Authenticate Access to Metadata Using IAM

            Help > Data Lake Insight > User Guide > Creating a Data Directory, Database, and Table > Creating and Using LakeFormation Metadata
          • Creating a Custom Policy - Data Lake Insight

            Creating a Custom Policy - Data Lake Insight

            IAM provides a set of DLI predefined condition keys. The following table lists the predefined condition keys of DLI.

            Help > Data Lake Insight > User Guide > Permissions Management
          • Creating a Spark Job - Data Lake Insight

            Creating a Spark Job - Data Lake Insight

            Agency Before using Spark 3.3.1 or later (Spark general queue scenario) to run jobs, you need to create an agency on the IAM console and add the new agency information. For details, see Customizing DLI Agency Permissions.

            Help > Data Lake Insight > User Guide > Submitting a Spark Job on the DLI Management Console
          • Submitting a SQL Job to Query RDS for MySQL Data Using DLI - Data Lake Insight

            Submitting a SQL Job to Query RDS for MySQL Data Using DLI - Data Lake Insight

            Figure 1 Configuring an agency for DLI Once configured, you can check the agency dli_management_agency in the agency list on the IAM console. Configure a DLI job bucket. Before using DLI to submit jobs, you need to configure a DLI job bucket.

            Help > Data Lake Insight > Getting Started
          • Submitting a Flink OpenSource SQL Job to Query RDS for MySQL Data Using DLI - Data Lake Insight

            Submitting a Flink OpenSource SQL Job to Query RDS for MySQL Data Using DLI - Data Lake Insight

            Figure 1 Configuring an agency for DLI Once configured, you can check the agency dli_management_agency in the agency list on the IAM console. Configure a DLI job bucket. Before using DLI to submit jobs, you need to configure a DLI job bucket.

            Help > Data Lake Insight > Getting Started
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