Comments (2)
I also attempted to utilize max_partitions_per_run to segment the backfill into 365-day runs. However, this exacerbated the situation. Storing asset materializations in parallel appears to result in write conflicts, which I can comprehend to some extent. Is there not an option to bulk-write events to the event storage? That would greatly alleviate the issue.
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I managed to resolve this issue. The PostgreSQL Cloud SQL instance I was using was severely under-scaled, especially since I was using a shared CPU instance, which appears to perform poorly with numerous write operations per time unit. Nevertheless, I believe implementing an option to write events in bulk would be advantageous.
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Related Issues (20)
- Dagster Does not Install - Broken Dependency HOT 2
- Broken freshness policy HOT 1
- Sensor loggers fail on logger.exception calls HOT 1
- Pydantic 2 Upgrade CauseS Slowness In Dagster
- FileNotFoundError: [Errno 2] No such file or directory: './dagster-exc/history/runs/3caa1ea2-3b29-4583-8465-0f540382248f.db-wal'
- Intermittent DagsterInvariantViolationError on widely-partitioned assets HOT 7
- Incorrect parsing of string-type sexagesimal values from launchpad HOT 3
- Tags don't get copied to launchpad when clicking "Open in Launchpad" HOT 1
- Terminating materialization doesn't kill a multi-threading job
- Dagster-Pandera Schema Validation as Asset Check
- Cannot reference same Dagster Asset Key in two DBT Sources HOT 2
- Dagster Databricks error
- dagster-dbt cannot proceed after dbt test passes successfully
- BigQuery IO Manager Optional Schema Check
- Support identity based authorisation to external services used by webserver / deamon
- Assets web page memory leak HOT 2
- Add keyboard shortcuts for common landing pages in dagster-webserver
- Dagster-deltalake `storage_options` not shown in launchpad HOT 1
- Backfills retriggers incorrectly X times materialization of assets that are non-partitioned HOT 1
- dagster-duckdb-polars lists polars as a dependency HOT 1
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