Comments (2)
I confirmed this was still happening on dagster, version 1.6.8
as well.
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Ya this is a real problem, but a trickier one than the output partitions since the input partition information is defined on the upstream, and in direct execution we currently only have the asset under execution and the context.
I think we will need to add a way to pass to build_asset_context
the resolved input partition values and/or the upstream assets themselves for calculation.
from dagster.
Related Issues (20)
- Show Automation tab for observable assets with `auto_observe_interval_minutes`
- Add event logs to the DagsterGraphQLClient methods
- incomplete auto-materialize after multiple upstream asset materializations HOT 1
- Dynamic job retry executes only the failed step and skips steps that weren't executed
- How to inject variables into JupyterNotebook from a op
- Bad bug when trying to use dynamic partitions
- Resource level timeouts and retries
- How to fix issue with stdout streaming to Dagster UI (on Window OS) HOT 1
- Show sum/mean/median of an asset plot for all partitions HOT 2
- Allow paginated display of partitions HOT 2
- Pandera output type should alow dask.DataFrame & pyspark.sql.DataFrame HOT 3
- [UI] Add toggle to hide connections to assets outside the selection HOT 1
- Issue when reading container status in dagster_k8s
- [dagster-embedded-elt][dlt] handle conflicting pipeline names for parallelization / partitioning
- Asset observations on partitioned source asset doesn't trigger automaterialization on downstream assets HOT 1
- Materialize unsynced assets incorrectly includes `source assets` HOT 3
- Backfill only failed or missing partitions missing when root has different partition defintions
- Dagster code location reload from vscode HOT 1
- dlt: source assets not inheriting the specified group HOT 4
- integration-embedded-elt - Asset Materialisation Fails To Complete
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