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Configurations
Environments Kyuubi Configurations Authentication Backend Batch Credentials Ctl Delegation Engine Event Frontend Ha Kinit Kubernetes Lineage Metadata Metrics Operat... -
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... -
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... -
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 ... -
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... -
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 ... -
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... -
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... -
Features
Table Design and Configuration Iterators Security labels Constraints Sharding Large Rows Namespaces Volume support Integrity/Availability Manager fail over Logical time L...
