-
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: ... -
Object
clone values eqProps keys omit pick pickAll project prop props keysIn path valuesIn toPairs toPairsIn propOr has hasIn assoc assocPath lens pickBy evolve inv... -
Properties
_.VERSION _.support _.support.argsClass _.support.argsObject _.support.enumErrorProps _.support.enumPrototypes _.support.fastBind _.support.nonEnumArgs _.support.nonEnumSha... -
Distributed objects
Object holder Java implementation of Redis or Valkey based RBucket object is a holder for any type of object. Size is limited to 512Mb. Code example: RBucket < AnyObject > buc... -
Relation
countBy difference differenceWith unionWith union gt gte intersection lt lte max min propEq sortBy pathEq maxBy minBy countBy (a → String) → [a] → {*} Paramet... -
Writes
Spark Writes To use Iceberg in Spark, first configure Spark catalogs . Some plans are only available when using Iceberg SQL extensions in Spark 3. Iceberg uses Apache Spark’s D... -
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... -
Team & member Management
User Management Team Management Role Management Member Management User Management ADMIN can select the user type when creating or modifying a user. There are two user types: ... -
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... -
Branching and Tagging
Branching and Tagging Overview Iceberg table metadata maintains a snapshot log, which represents the changes applied to a table. Snapshots are fundamental in Iceberg as they are ...
