Comments (4)
tf example fields need to be either integer, float or string
For timestamp in BigQuery, just do "UNIX_SECONDS(trip_start_timestamp) AS trip_start_timestamp," in the query, then return result will be integer
from tfx.
Thank you for tip! What are your thoughts on adding connector components?
There are use cases where writing a custom component for transformations would be easier than a SQL query. eg. windowing data and applying some sort of transformations.
what I had envisioned would be using a tfx component to fetch data and a custom component to do the required transformations. Similar to Apache Flinks supported connectors?
from tfx.
We are still trying to figure out our custom component story, but for now for your need, you can consider writing a custom preprocessor component following the examples under components/, then add that component before example gen in your xxx_pipeline.py file
from tfx.
Hi, we now added an example for custom component
also for file based example gen, you just need to provide a beam PTransform for converting input file source to tf.example, here is the instruction
from tfx.
Related Issues (20)
- [Request] Update to Apache Beam 2.52.0, enable Beam 2.46.0 compatibility HOT 5
- How to pass airflow task configuration to one custom component? HOT 3
- Error executing pip install tfx in new conda environment with python 3.10 HOT 6
- installing tfx 1.13.0 by pip takes so much time HOT 5
- TFX trainer component running in Kubeflow fails although it was successful in the Interactive Context HOT 8
- TFX components in GCP does not display component logs in GCP Vertex AI HOT 17
- DataFlow Job in TFX pipeline fails after running for an hour HOT 6
- TFX component never completes even though Vertex AI custom job succeeds / fails HOT 8
- Upgrade Tensorflow version HOT 3
- documentations for driver class HOT 2
- Custom driver support for KubeflowV2DagRunner HOT 3
- Error when starting Evaluator component HOT 6
- TFX 1.15.0 Issues HOT 1
- R2Score Metric is incompatible with Evaluator Component HOT 2
- Version issues with Savemodel
- Version Issues with Estimator SaveModel
- Python-snappy not found during execution of CSVExampleGen HOT 1
- Dependency Version Constraints error in release notes for version 1.15.0 HOT 1
- TFX for small, single-laptop workflows HOT 4
- TFX 1.15 docker image contains conflicting dependencies HOT 1
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from tfx.