apache/iceberg · error · NoSuchNamespaceException

Cannot create table as the namespace does not exist

Error message

Cannot create table %s as the namespace does not exist

What it means

Wraps Spark's NoSuchNamespaceException raised during stageCreate when staging the destination Iceberg table: the target namespace in the destination catalog does not exist. Iceberg actions do not auto-create namespaces.

Solutions

  1. Create the destination namespace first: CREATE NAMESPACE <ns> in the destination catalog
  2. Check the destination identifier spelling and the dest catalog config (spark.sql.catalog.<name>)
  3. Run the action again after the namespace exists

Example fix

// before
spark.sql("CREATE TABLE iceberg_db.migrated_tbl ..."); // namespace missing
// after
spark.sql("CREATE NAMESPACE IF NOT EXISTS iceberg_db");
SparkActions.get(spark).migrateTable("db.tbl").as("iceberg_db.migrated_tbl").execute();
Defensive patterns

Strategy: validation

Validate before calling

Namespace ns = Namespace.of(parts);
if (!destCatalog.namespaceExists(ns)) { spark.sql("CREATE NAMESPACE IF NOT EXISTS " + nsString); }

Try / catch

try { action.execute(); } catch (NoSuchNamespaceException e) { createNamespace(); }

Prevention

When it happens

Trigger: Calling migrateTable/snapshotTable with a destination identifier whose namespace has not been created in the destination catalog, so destCatalog().stageCreate(...) throws NoSuchNamespaceException.

Common situations: Typo in the destination namespace; forgetting to CREATE NAMESPACE in the target catalog; pointing at a fresh catalog (e.g. REST/Hadoop) that has no pre-created namespaces.

Understand the failure class

Background: "Not found" and "does not exist" errors: why "Task not found", "No such folder", and "Can't find" fire when a lookup comes back empty — this error's family across 14 libraries.

Related errors


AI-assisted analysis of apache/iceberg@86d9c8fc54 (2026-09-12). Data as JSON: /api/errors/5df0861cd011dad5. Report an issue: GitHub.

Appendix: source

Thrown at spark/v4.0/spark/src/main/java/org/apache/iceberg/spark/actions/BaseTableCreationSparkAction.java:164

        "Cannot create Iceberg table in non-Iceberg Catalog. "
            + "Catalog '%s' was of class '%s' but '%s' or '%s' are required",
        catalog.name(),
        catalog.getClass().getName(),
        SparkSessionCatalog.class.getName(),
        SparkCatalog.class.getName());

    return (StagingTableCatalog) catalog;
  }

  protected StagedSparkTable stageDestTable() {
    try {
      Map<String, String> props = destTableProps();
      StructType schema = sourceTable.schema();
      Transform[] partitioning = sourceTable.partitioning();
      return (StagedSparkTable)
          destCatalog().stageCreate(destTableIdent(), schema, partitioning, props);
    } catch (org.apache.spark.sql.catalyst.analysis.NoSuchNamespaceException e) {
      throw new NoSuchNamespaceException(
          "Cannot create table %s as the namespace does not exist", destTableIdent());
    } catch (org.apache.spark.sql.catalyst.analysis.TableAlreadyExistsException e) {
      throw new AlreadyExistsException(
          "Cannot create table %s as it already exists", destTableIdent());
    }
  }

  protected void ensureNameMappingPresent(Table table) {
    if (!table.properties().containsKey(TableProperties.DEFAULT_NAME_MAPPING)) {
      NameMapping nameMapping = MappingUtil.create(table.schema());
      String nameMappingJson = NameMappingParser.toJson(nameMapping);
      table.updateProperties().set(TableProperties.DEFAULT_NAME_MAPPING, nameMappingJson).commit();
    }
  }

  protected String getMetadataLocation(Table table) {
    String defaultValue =
        LocationUtil.stripTrailingSlash(table.location()) + "/" + ICEBERG_METADATA_FOLDER;

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