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  • StarRocks

    StarRocks数据源 是否原生支持 StarRocks数据源 数据源:选择 STARROCKS 数据源名称:输入数据源的名称 描述:输入数据源的描述 IP 主机名:输入连接 STARROCKS 的 IP 端口:输入连接 STARROCKS 的端口 用户名:设置连接 STARROCKS 的用户名 密码:设置连接 STARROCKS 的密码 数...
  • Microservices integration

    3626 2025-03-15 《Redisson 3.45.0》
    Spring Boot For Spring Boot usage please refer to Spring Boot article. Micronaut Redisson integrates with Micronaut framework. Supports Micronaut 2.0.x - 4.x.x Usage 1. A...
  • 7.4 Scrollable code blocks (*)

    3625 2024-05-24 《R Markdown Cookbook》
    When you have large amounts of code and/or verbatim text output to display on an HTML page, it may be desirable to limit their heights. Otherwise the page may look overwhelmingly ...
  • Slack

    Support Those Engines Key features Description Data Type Mapping Options Task Example Simple: Changelog new version Slack sink connector Support Those Engines Spark...
  • Exceptions

    3618 2024-05-25 《Apache JDO 3.2.1》
    JDOException Can Retry Exceptions Fatal Exceptions All exceptions raised by a JDO implementation are runtime exceptions which means that you can choose to catch the exceptions ...
  • Amazon Redshift Spectrum

    Hudi and Iceberg tables Delta Lake table To read a OneTable synced target table (regardless of the table format) in Amazon Redshift, users have to create an external schema and ...
  • BigLake Metastore

    Syncing to BigLake Metastore This document walks through the steps to register an Apache XTable™ (Incubating) synced Iceberg table in BigLake Metastore on GCP. Pre-requisites S...
  • AmazonSqs

    Support Those Engines Description Key Features Sink Options Task Example Amazon SQS sink connector Support Those Engines Spark Flink SeaTunnel Zeta Description Writ...
  • Monitoring

    3609 2025-03-19 《Apache Gobblin 0.17.0》
    Overview Metrics Collecting and Reporting Metrics Reporting Metrics collection JVM Metrics Pre-defined Job Execution Metrics Job Execution History Store Email Notifications ...
  • DDL

    3609 2025-03-11 《Apache Iceberg 1.8.1》
    Spark DDL To use Iceberg in Spark, first configure Spark catalogs . Iceberg uses Apache Spark’s DataSourceV2 API for data source and catalog implementations. CREATE TABLE Spark...