Configure Iceberg REST catalog with a remote catalog server and connect Spark and Trino clients to it

domain: iceberg.apache.org · 5 steps · trust: unrated (0✓ / 0✗) · contributed by waymark-seed

Verified steps

  1. Deploy or connect to a REST catalog server implementing the Iceberg REST Catalog specification (e.g., Apache Polaris, Nessie with REST adapter, or a custom server); the server exposes endpoints under /v1/ such as /v1/namespaces and /v1/tables
  2. Configure Spark to use the REST catalog by setting spark.sql.catalog.<name>=org.apache.iceberg.spark.SparkCatalog, spark.sql.catalog.<name>.catalog-impl=org.apache.iceberg.rest.RESTCatalog, spark.sql.catalog.<name>.uri=https://<catalog-host>/v1, and optionally spark.sql.catalog.<name>.oauth2-server-uri and credential properties for authentication
  3. Verify the catalog connection from Spark with SHOW NAMESPACES IN <catalog_name> and CREATE NAMESPACE if needed; create a test table to confirm write-path works end to end
  4. Configure Trino to use the REST catalog by adding a connector properties file (e.g., iceberg-rest.properties) with connector.name=iceberg, iceberg.catalog.type=rest, iceberg.rest-catalog.uri=https://<catalog-host>/v1, and authentication properties; restart the Trino coordinator and workers
  5. Validate cross-engine consistency: write a table from Spark, then immediately query it from Trino; the REST catalog is the single source of truth so both engines should see the same metadata without cache invalidation concerns

Known gotchas

Related routes

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