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Connectors for Hive SQL Query Engine
Apache Paimon (Incubating) Iceberg -
Procedures
Spark Procedures To use Iceberg in Spark, first configure Spark catalogs . Stored procedures are only available when using Iceberg SQL extensions in Spark 3. Usage Procedures c... -
Flink Writes
Flink Writes Iceberg support batch and streaming writes With Apache Flink ‘s DataStream API and Table API. Writing with SQL Iceberg support both INSERT INTO and INSERT OVERWRIT... -
Hive Metastore
Syncing to Hive Metastore This document walks through the steps to register an Apache XTable™ (Incubating) synced table on Hive Metastore (HMS). Pre-requisites Source table(s) ... -
Microsoft Fabric
Querying from Microsoft Fabric This guide offers a short tutorial on how to query Apache Iceberg and Apache Hudi tables in Microsoft Fabric utilizing the translation capabilities... -
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... -
Amazon EMR
https://docs.aws.amazon.com/emr/latest/ReleaseGuide/emr-iceberg-use-cluster.html -
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 ... -
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...
