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JDBC
Description Using Dependency For Spark/Flink Engine For SeaTunnel Zeta Engine Key Features Options driver [string] user [string] password [string] url [string] query [stri... -
Flink
Flink节点 综述 Flink 任务类型，用于执行 Flink 程序。对于 Flink 节点： 当程序类型为 Java、Scala 或 Python 时，worker 使用 Flink 命令提交任务 flink run 。更多详情查看 flink cli 。 当程序类型为 SQL 时，worker 使用sql-client.sh 提交任务。... -
Hadoop Resource Integration
Using Apache Hadoop resource in Flink on Kubernetes 1. Apache HDFS 1.1 Add the shaded jar 1.2. add core-site.xml and hdfs-site.xml 2. Apache Hive 2.1. Add Hive-related jars 2... -
Elasticsearch Connector
Dependency of elastic writing Write data to Elasticsearch based on the official Using Apache StreamPark™ writes to Elasticsearch 1. 配置策略和连接信息 2. 写入Elasticsearch Other configur... -
Apache Iceberg
Support Iceberg Version Support Those Engines Description Supported DataSource Info Database Dependency Data Type Mapping Sink Options Task Example Simple: Hive Catalog: H... -
快速开始
1. 获取 Superset 2. 启动 Superset 最新官方版本 3. 登录 Superset 结束语 下一步是什么？ 准备好尝试 Apache Superset 了吗？ 本快速入门指南将帮助您通过 3 个简单步骤 在本地计算机上启动并运行。请注意，它假设您有 Docker 、Docker Compose 和 Git 已安装。 ... -
3. Trouble Shooting
Trouble Shooting Common Issues java.lang.UnsupportedClassVersionError .. Unsupported major.minor version 52.0 org.apache.spark.SparkException: When running with master ‘yarn’ eith... -
Creating your first interoperable table
Pre-requisites Steps Initialize a pyspark shell Create dataset Running sync Conclusion Next steps Using OneTable to sync your source tables in different target format invo... -
How To Use Spark Dynamic Resource Allocation (DRA) in Kyuubi
The Basics of Dynamic Resource Allocation How to Enable Dynamic Resource Allocation Dynamic Resource Allocation w/ External Shuffle Service Dynamic Allocation w/o External Shuffl... -
High-Speed Ingest
Pre-Splitting New Tables Multiple Ingest Clients Bulk Ingest Logical Time for Bulk Ingest MapReduce Ingest Accumulo is often used as part of a larger data processing and stor...
