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框架介绍
Apache StreamPark™ 🚀 什么是 Apache StreamPark™ 🎉 Features 🏳🌈 组成部分 1️⃣ streampark-core 2️⃣ streampark-console Apache StreamPark™ 一个神奇的框架，让流处理更简单！ 🚀 什么是 Apache StreamPark™ 实时... -
JDBC Connector
JDBC Configuration Semantic EXACTLY_ONCE AT_LEAST_ONCE && NONE Others JDBC read queryFunc to get sql resultFunc process the query data JDBC Read Write Generate target SQL b... -
Apache Kafka Connector
依赖 Kafka Source (Consumer) 基础消费示例 高级配置参数 消费多个Kafka实例 消费多个Topic Topic 发现 配置开始消费的位置 指定分区Offset 指定deserializer 返回记录KafkaRecord 指定strategy Kafka Sink (Producer) 容错和语义 多实例k... -
Use Cases
A Streaming Data Lake Near Real-Time Ingestion Incremental Processing Pipelines Unified Batch and Streaming Cloud-Native Tables Schema Management ACID Transactions Efficient ... -
ClickHouse Connector
JDBC synchronous write Write in the normal way Write with Apache StreamPark™ configuration list Write to ClickHouse HTTP async write Write in the normal way Write to ClickHou... -
Apache HBase Connector
HBase写入依赖 常规方式写入读取HBase 1.创建库表 2.写入读取demo Apache StreamPark™ 读写 HBase 1. 配置策略和连接信息 2. 读写入HBase 其他配置 Apache HBase 是一个高可靠性、高性能、面向列、可伸缩的分布式存储系统，利用 HBase 技术可在廉价服务器上搭建起大规模结构化存... -
All Configurations
Externalized Config File Hudi Table Config Hudi Table Basic Configs Spark Datasource Configs Read Options Write Options PreCommit Validator Configurations Flink Sql Configs ... -
Clickhouse Connector
JDBC 同步写入 常规方式写入 Apache StreamPark™ 方式写入 配置信息 写入clickhouse HTTP 异步写入 常规方式写入 Apache StreamPark™ 方式写入 异步写入配置及失败恢复组件配置 写入clickhouse 其他配置 ClickHouse 是一个用于联机分析（OLAP）的列式数据库管... -
SQL Queries
Spark SQL Snapshot Query Time Travel Query Change Data Capture Incremental Query Flink SQL Snapshot Query Options Streaming Query Options Incremental Query Options Catal... -
Kyuubi v.s. Spark Thrift JDBC/ODBC Server (STS)
Kyuubi v.s. Spark Thrift JDBC/ODBC Server (STS) Introductions Barriers to common Spark job usage High Barrier Insecurity Compatibility Bootstrap latency Limitations of Spark ...