matepek opened a new issue, #10003:
URL: https://github.com/apache/iceberg/issues/10003

   ### Apache Iceberg version
   
   1.5.0 (latest release)
   
   ### Query engine
   
   Spark
   
   ### Please describe the bug 🐞
   
   # The issue
   
   It's great that  1.5 supports views. We have been waiting for this for long. 
But it bleed from some issues.
   
   ## Repro
   
   My expectations are based on the 
[ducumentation](https://iceberg.apache.org/docs/1.5.0/spark-configuration/#catalog-configuration):
   
   ```
   org.apache.iceberg.spark.SparkSessionCatalog adds support for Iceberg tables 
to Spark's built-in catalog, and delegates to the built-in catalog for 
non-Iceberg tables
   ```
   
   Note that `spark_catalog` is a `org.apache.iceberg.spark.SparkSessionCatalog
   
   ### Test Set 1:
   
   NOTE: `spark.sql.defaultCatalog = spark_catalog`
   
   ```
   CREATE
   OR replace TABLE test_schema.iceberg_table USING iceberg partitioned BY (DAY 
(ts), truncate (2, id)) AS
   SELECT
        1 AS id,
        TIMESTAMP('2000-01-01 01') AS ts,
        'a' AS col1
   ```
   
   ```
   show tables in test_schema
   ```
   
   Expected: the table
   Actual: ❌ `org.apache.spark.sql.catalyst.analysis.NoSuchDatabaseException: 
[SCHEMA_NOT_FOUND] The schema 'test_schema' cannot be found. Verify the 
spelling and correctness of the schema and catalog.`
   
   ```
   show tables in spark_catalog.test_schema
   ```
   
   Expected: the table
   Actual: ❌ `org.apache.spark.sql.catalyst.analysis.NoSuchDatabaseException: 
[SCHEMA_NOT_FOUND] The schema 'test_schema' cannot be found. Verify the 
spelling and correctness of the schema and catalog.`
   
   
   ```
   show tables in iceberg_catalog.test_schema
   ```
   
   Expected: the table
   Actual: ❌ `org.apache.iceberg.exceptions.NoSuchNamespaceException: Namespace 
does not exist: test_schema`
   
   ```
   select * from test_schema.iceberg_table 
   ```
   
   Expected: the table content
   Actual: ✅ the table content
   
   ```
   select * from spark_catalog.test_schema.iceberg_table 
   ```
   
   Expected: the table content
   Actual: ✅ the table content
   
   ```
   select * from iceberg_catalog.test_schema.iceberg_table 
   ```
   
   Expected: the table content
   Actual: ❌ `org.apache.hive.service.cli.HiveSQLException: Error running 
query: [TABLE_OR_VIEW_NOT_FOUND]`
   
   
   ### Test Set 2:
   
   I've tried setting the default catalog: `spark.sql.defaultCatalog = 
iceberg_catalog`
   
   ```
   CREATE
   OR replace TABLE test_schema.iceberg_table USING iceberg partitioned BY (DAY 
(ts), truncate (2, id)) AS
   SELECT
        1 AS id,
        TIMESTAMP('2000-01-01 01') AS ts,
        'a' AS col1
   ```
   
   The result:
   
   ```
   show tables in test_schema
   ```
   
   Expected: the table
   Actual: ✅ the table
   
   ```
   show tables in spark_catalog.test_schema
   ```
   
   Expected: the table
   Actual: ❌ `org.apache.spark.sql.catalyst.analysis.NoSuchDatabaseException: 
[SCHEMA_NOT_FOUND] The schema 'test_schema' cannot be found. Verify the 
spelling and correctness of the schema and catalog.`
   
   
   ```
   show tables in iceberg_catalog.test_schema
   ```
   
   Expected: the table
   Actual: ✅ the table
   
   ```
   select * from test_schema.iceberg_table 
   ```
   
   Expected: the table content
   Actual: ✅ the table content
   
   ```
   select * from spark_catalog.test_schema.iceberg_table 
   ```
   
   Expected: the table content
   Actual: ❌ `org.apache.spark.sql.AnalysisException: [TABLE_OR_VIEW_NOT_FOUND] 
The table or view 'spark_catalog'.'test_schema'.'iceberg_table' cannot be 
found.`
   
   ```
   select * from iceberg_catalog.test_schema.iceberg_table 
   ```
   
   Expected: the table content
   Actual: ✅ the table content
   
   # The Setup:
   
   iceberg : 1.5.0
   Java Version : 11.0.22 (Eclipse Adoptium)
   Scala Version : version 2.12.18 (offical image with little tweaks)
   
   | Config | value |
   | --- | --- |
   |spark.sql.catalog.iceberg_catalog | org.apache.iceberg.spark.SparkCatalog|
   |spark.sql.catalog.iceberg_catalog.io-impl | 
org.apache.iceberg.gcp.gcs.GCSFileIO|
   |spark.sql.catalog.iceberg_catalog.jdbc.password | *********(redacted)|
   |spark.sql.catalog.iceberg_catalog.jdbc.schema-version | V1|
   |spark.sql.catalog.iceberg_catalog.jdbc.useSSL | false|
   |spark.sql.catalog.iceberg_catalog.jdbc.user | *********(redacted)|
   |spark.sql.catalog.iceberg_catalog.jdbc.verifyServerCertificate | false|
   
|spark.sql.catalog.iceberg_catalog.table-default.write.metadata.delete-after-commit.enabled
 | true|
   
|spark.sql.catalog.iceberg_catalog.table-default.write.metadata.previous-versions-max
 | 50|
   |spark.sql.catalog.iceberg_catalog.type | jdbc|
   |spark.sql.catalog.iceberg_catalog.uri | 
jdbc:postgresql://localhost:5432/iceberg-catalog|
   |spark.sql.catalog.iceberg_catalog.warehouse | gs://spark_warehouse_staging|
   |spark.sql.catalog.spark_catalog | 
org.apache.iceberg.spark.SparkSessionCatalog|
   |spark.sql.catalog.spark_catalog.io-impl | 
org.apache.iceberg.gcp.gcs.GCSFileIO|
   |spark.sql.catalog.spark_catalog.jdbc.password | *********(redacted)|
   |spark.sql.catalog.spark_catalog.jdbc.schema-version | V1|
   |spark.sql.catalog.spark_catalog.jdbc.useSSL | false|
   |spark.sql.catalog.spark_catalog.jdbc.user | *********(redacted)|
   |spark.sql.catalog.spark_catalog.jdbc.verifyServerCertificate | false|
   |spark.sql.catalog.spark_catalog.type | jdbc|
   |spark.sql.catalog.spark_catalog.uri | 
jdbc:postgresql://localhost:5432/iceberg-catalog|
   |spark.sql.catalog.spark_catalog.warehouse | gs://spark_warehouse_staging|
   |spark.sql.catalogImplementation | hive|
   |spark.sql.defaultCatalog | spark_catalog|
   |spark.sql.extensions | 
org.apache.sedona.sql.SedonaSqlExtensions,org.apache.iceberg.spark.extensions.IcebergSparkSessionExtensions|
   


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