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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... -
Evolution
Evolution Iceberg supports in-place table evolution . You can evolve a table schema just like SQL — even in nested structures — or change partition layout when data volume chang... -
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... -
Amazon EMR
https://docs.aws.amazon.com/emr/latest/ReleaseGuide/emr-iceberg-use-cluster.html -
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... -
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 ... -
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... -
Snowflake
Querying from Snowflake Currently, Snowflake supports Iceberg tables through External Tables and also Native Iceberg Tables . Iceberg on Snowflake is currently supported in pub...
