Comments (4)
svdimchenko
commented on May 14, 2024
2
we have provided some tests with athena-spark workgroup and were not satisfied with the results. To be short, it seems to be more expensive and at least does not provide performance boost (or even is slower then usual athena in many cases). We'll need to implement other sql dialect support for spark as well. Does this issue make sense if there is https://github.com/aws-samples/dbt-glue for spark ?
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mattiamatrix
commented on May 14, 2024
1
Just announced https://aws.amazon.com/about-aws/whats-new/2023/03/amazon-athena-apache-spark-4-regions/
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nicor88
commented on May 14, 2024
#188 should support this feature
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sanga8
commented on May 14, 2024
I tried using the spark_workgroup as in #188 but I got "Materialization "materialization_table_athena" only supports languages ['sql']; got "python"
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Related Issues (20)
- model contract enforce is not done at compile time HOT 8
- Add issue templates
- seeds with columns starting with underscore fail HOT 2
- Unable to compile test models in Athena HOT 1
- Add parameter `detailed_table_type` for `list_relations_without_caching` function
- Support column level statistics HOT 4
- Add default_lf_inherited_tags
- When using `force_batch=true` with incremental models, it will fail if there is no data to write HOT 1
- [Communication] Install Slack on the repository to enable release subscription HOT 4
- Prune old table version for incremental models. HOT 1
- Athena partitions limit fix (#360) fails with partitions defined as non-Athena functions HOT 4
- Log the query id HOT 2
- Post hook when too many partitions failed HOT 3
- Allow dbt-athena to grant permissions via lakeformation named resource method
- `external_location` ignored when `table_type='hive'` HOT 5
- Support multi-engine views in Athena
- Fine-Grain Permissions make re-creating tables difficult. HOT 9
- (Potential) bug with incremental iceberg tables HOT 6
- [Feature] set external_location for iceberg table HOT 1
- [Feature] Introduce ha flag for table materialisation and iceberg tables to allow users to control final location
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