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Configuration
Spark Configuration Catalogs Spark adds an API to plug in table catalogs that are used to load, create, and manage Iceberg tables. Spark catalogs are configured by setting Spark ... -
Socket
Support Those Engines Key features Description Sink Options Task Example Changelog 2.2.0-beta 2022-09-26 Socket sink connector Support Those Engines Spark Flink SeaTu... -
Observability
Metrics This feature is available only in Redisson PRO Monitoring systems integration Redisson provides integration the most popular monitoring systems through Micrometer fram... -
Phoenix
Description Key features Options driver [string] url [string] common options Example Changelog 2.2.0-beta 2022-09-26 Phoenix sink connector Description Write Phoenix... -
Relation
countBy difference differenceWith unionWith union gt gte intersection lt lte max min propEq sortBy countBy (a → String) → [a] → {*} Parameters fnThe function u... -
Configuring a Database Instance for Ranger
A MySQL, Oracle, PostgreSQL, or Amazon RDS database instance must be running and available to be used by Ranger. The Ranger installation will create two new users (default names: ... -
Relation
countBy difference differenceWith unionWith union gt gte intersection lt lte max min propEq sortBy pathEq countBy (a → String) → [a] → {*} Parameters fnThe fu... -
10 Tables
References Tables are one of the primary ways in which we can communicate results in a report. You may often desire to tweak their appearance to suit your particular needs. In th... -
Java API
Iceberg Java API Tables The main purpose of the Iceberg API is to manage table metadata, like schema, partition spec, metadata, and data files that store table data. Table metad... -
Streaming Reads
Spark Streaming Spark Streaming Structured Streaming reads are based on Hudi’s Incremental Query feature, therefore streaming read can return data for which commits and base fil...
