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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... -
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 DDL
DDL commands CREATE Catalog Hive catalog This creates an Iceberg catalog named hive_catalog that can be configured using 'catalog-type'='hive' , which loads tables from Hive m... -
Daft
Daft Daft is a distributed query engine written in Python and Rust, two fast-growing ecosystems in the data engineering and machine learning industry. It exposes its flavor of t... -
Queries
Spark Queries To use Iceberg in Spark, first configure Spark catalogs . Iceberg uses Apache Spark’s DataSourceV2 API for data source and catalog implementations. Querying with S... -
StarRocks
Querying from StarRocks StarRocks allows you to query table formats like Hudi, Delta and Iceberg tables using our external catalog feature. Users do not need additional configura... -
Connectors For Flink SQL Query Engine
Apache Paimon (Incubating) Hudi Iceberg -
Google BigQuery
Querying from Google BigQuery Iceberg tables To read an Apache XTable™ (Incubating) synced Iceberg table from BigQuery , you have two options: Using Iceberg JSON metadata file ... -
JDBC
Iceberg JDBC Integration JDBC Catalog Iceberg supports using a table in a relational database to manage Iceberg tables through JDBC. The database that JDBC connects to must suppo...
