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Connectors for Hive SQL Query Engine
Apache Paimon (Incubating) Iceberg -
Partitioning
Partitioning What is partitioning? Partitioning is a way to make queries faster by grouping similar rows together when writing. For example, queries for log entries from a logs ... -
Glue Data Catalog
Syncing to Glue Data Catalog This document walks through the steps to register an Apache XTable™ (Incubating) synced table in Glue Data Catalog on AWS. Pre-requisites Source ta... -
RisingWave
RisingWave RisingWave is a Postgres-compatible SQL database designed for real-time event streaming data processing, analysis, and management. It can ingest millions of events per... -
Java Custom Catalog
Custom Catalog It’s possible to read an iceberg table either from an hdfs path or from a hive table. It’s also possible to use a custom metastore in place of hive. The steps to do... -
Features and Limitations
Features and Limitations Features Apache XTable™ (Incubating) provides users with the ability to translate metadata from one table format to another. Apache XTable™ (Incubatin... -
Apache Spark
Querying from Apache Spark To read an Apache XTable™ (Incubating) synced target table (regardless of the table format) in Apache Spark locally or on services like Amazon EMR, Goog... -
Flink Connector
Flink Connector Apache Flink supports creating Iceberg table directly without creating the explicit Flink catalog in Flink SQL. That means we can just create an iceberg table by s...
