JDBC Catalog Configurations Examples Spark Java API JDBC Catalog Iceberg supports using a table in a relational database to manage Iceberg tables through JDBC. The database ...
_.attempt(func, [args]) Since Arguments Returns Example _.bindAll(object, methodNames) Since Arguments Returns Example _.cond(pairs) Since Arguments Returns Example...
always comparator compose construct curry useWith flip groupBy identity invoker nAry once pipe tap always a → (* → a) Parameters valThe value to wrap in a func...
Next Step Confirm Hosts prompts you to confirm that Ambari has located the correct hosts for your cluster and to check those hosts to make sure they have the correct directories...
To deploy your Hortonworks stack using Ambari, you need to prepare your deployment environment: Set Up Password-less SSH Set Up Service User Accounts Enable NTP on the Cluster...
Querying with SQL Querying with DataFrames Catalogs with DataFrameReader Time travel SQL DataFrame Incremental read Inspecting tables History Metadata Log Entries Snapshot...
Pre-requisites Steps Building the project Next Steps This page covers the essential steps to setup OneTable in your environment. Pre-requisites Building the project require...
Support Those Engines Key Features Description Supported DataSource Info Sink Options Tips Task Example Simple: For orc file format simple config For text file format with ...
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: ...
Handling partially failed commits Rolling back partially failed commits for a single writer Rolling back of partially failed commits w/ multi-writers Heartbeats Related Resourc...