Comments (5)
@TassOlympus do you use a workgroup with enforced "configurations"? If that's the case external_location is fully ignored.
Also there was to change on how external_location is used in 1.7.0.
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@nicor88 there is a location specified in the work group being used but specifying "external_location" works for iceberg tables regardless of the workgroup location, it's just hive tables where it is ignored. I would imagine that should a location be specified at the model level that it would override the workgroup location? Is there a reason why it is different across table types?
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Iceberg table are managed tables, therefore the workgroup location is not used.
Hive tables at the contrary are not managed table, therefore what happen is that your "workgroup" enforced location is used by default.
You have 2 options:
- disable workgroup config enforcement in your workgroup setting
- if you cannot follow the first option, consider to create a new workgroup (without location set) only for dbt - I like this approach more, as you can control as well how much cost running queries by dbt.
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Thanks @nicor88, this is useful and helped resolve our issue (we went for the separate work group approach), could documentation perhaps be updated to articulate this information under https://github.com/dbt-athena/dbt-athena#table-location? The note was misleading since it did not apply to iceberg tables and seems to speak directly to "s3_data_naming" alone
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@TassOlympus good catch, docs must be updated indeed. Feel free to submit a PR to address this.
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Related Issues (20)
- Docs - Add bucketing documentation for iceberg
- Upgrade to support dbt-core v1.8.0 HOT 1
- [Bug] `truncate()` partition transformation does not work when it includes more than 100 partitions HOT 1
- Bug Hitting `ThrottlingException` on `GetWorkGroup` with threads turned up HOT 5
- [Bug] Iceberg table materialization shouldn't s3_data_naming=table
- [Bug] Adapter error when FIPS mode is enabled HOT 4
- [Bug] Resolution failure for `create_table_as` macro when upgrading to 1.7.2 HOT 1
- upgrade to support dbt-core v1.8.0 HOT 6
- [Feature] Control glue database/schema for tmp tables generated by incremental models
- [Bug] force_batch deletes data from model_tmp_not_partitioned before coping to the final table HOT 2
- [Feature] Rename unique_key to unique_columns or merge_on_columns HOT 3
- [Feature] Support configurable management of Table Optimisers for Iceberg tables HOT 3
- [Bug] Error when Python Model Goes To Write To Database HOT 13
- [Feature] Custom strategy for incremental models when table type is iceberg
- [Bug] dbt source freshness expected a timestamp but received a string HOT 1
- [Feature] Athena dbt-external-tables impl as independent package HOT 5
- [Bug] Clone materialization raises an error when cloning Python models HOT 2
- TABLE_NOT_FOUND Error During Unit Testing in dbt-athena 1.8 Due to Jinja Macro Dependency HOT 3
- Hive vs Iceberg timestamps in unit tests HOT 4
- [Bug] TABLE_NOT_FOUND {{tmp_relation}} when there are zero batches to process in incremental model
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