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Structured Streaming
Spark Structured Streaming Iceberg uses Apache Spark’s DataSourceV2 API for data source and catalog implementations. Spark DSv2 is an evolving API with different levels of support... -
Math
clone values eqProps keys omit pick pickAll project prop props keysIn path valuesIn toPairs toPairsIn clone {*} → {*} Parameters valueThe object or array to c... -
为 Ranger 配置数据库实例
MySQL、Oracle、PostgreSQL 或 Amazon RDS 数据库实例必须正在运行并且可供 Ranger 使用。 Ranger 安装将创建两个新用户（默认名称：rangeradmin 和 rangerlogger ）和两个新数据库（默认名称：ranger 和 ranger_audit ）。 从以下选项中选择： 为 Ranger 配置 ... -
Flink Queries
Flink Queries Iceberg support streaming and batch read With Apache Flink ‘s DataStream API and Table API. Reading with SQL Iceberg support both streaming and batch read in Flink... -
Oracle 先决条件
由于 Amazon RDS 的限制 ，必须手动创建 Ranger 数据库用户和表空间，并且必须手动向 Ranger 数据库用户授予所需的权限。 使用主用户帐号（创建 RDS Oracle实例时创建的）登录 RDS Oracle 服务器，执行以下命令： create user $rangerdbuser identified by “ passw... -
Introduction
Documentation Apache Iceberg is an open table format for huge analytic datasets. Iceberg adds tables to compute engines including Spark, Trino, PrestoDB, Flink, Hive and Impala u... -
OpenMldb
Description Key features Options cluster_mode [string] sql [string] database [string] host [string] port [int] zk_host [string] zk_path [string] session_timeout [int] req... -
Amazon RDS Requirements
Ranger requires a relational database as its policy store. There are additional prerequisites for Amazon RDS-based databases due to how Amazon RDS is set up and managed: MySQL/M... -
Configuring Druid and Superset Metadata Stores in MySQL
About This Task Steps About This Task Druid and Superset require a relational data store to store metadata. To use MySQL for this, install MySQL and create a database for the ... -
Math
clone values eqProps keys omit pick pickAll project prop props keysIn path valuesIn toPairs toPairsIn clone {*} → {*} Parameters valueThe object or array to c...
