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fix
Signed-off-by: Danny Chiao <danny@tecton.ai>
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adchia committed Apr 17, 2022
commit ddba2067245d5d87b28518d1b8f9c8df56902d21
2 changes: 1 addition & 1 deletion docs/SUMMARY.md
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* [feature\_store.yaml](reference/feature-repository/feature-store-yaml.md)
* [.feastignore](reference/feature-repository/feast-ignore.md)
* [Feature servers](reference/feature-servers/README.md)
* [Local feature server](reference/feature-servers/local-feature-server.md)
* [Python feature server](reference/feature-servers/python-feature-server.md)
* [Go-based feature retrieval](reference/feature-servers/go-feature-retrieval.md)
* [\[Alpha\] Data quality monitoring](reference/dqm.md)
* [\[Alpha\] On demand feature view](reference/alpha-on-demand-feature-view.md)
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4 changes: 3 additions & 1 deletion docs/reference/data-sources/push.md
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Expand Up @@ -53,6 +53,8 @@ import pandas as pd

fs = FeatureStore(...)
feature_data_frame = pd.DataFrame()
fs.push("push_source", feature_data_frame)
fs.push("push_source_name", feature_data_frame)
```

See also [Python feature server](../feature-servers/python-feature-server.md) for instructions on how to push data to a deployed feature server.

2 changes: 1 addition & 1 deletion docs/reference/feature-servers/README.md
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Feast users can choose to retrieve features from a feature server, as opposed to through the Python SDK.

{% page-ref page="local-feature-server.md" %}
{% page-ref page="python-feature-server.md" %}
2 changes: 1 addition & 1 deletion docs/reference/feature-servers/go-feature-retrieval.md
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## Overview

The Go Feature Retrieval component is a Go implementation of the core feature serving logic, embedded in the Python SDK. It supports retrieval of feature references, feature services, and on demand feature views, and can be used either through the Python SDK or the [Python feature server](local-feature-server.md).
The Go Feature Retrieval component is a Go implementation of the core feature serving logic, embedded in the Python SDK. It supports retrieval of feature references, feature services, and on demand feature views, and can be used either through the Python SDK or the [Python feature server](python-feature-server.md).

Currently, this component only supports online serving and does not have an offline component including APIs to create feast feature repositories or apply configuration to the registry to facilitate online materialization. It also does not expose its own dedicated cli to perform feast actions. Furthermore, this component is only meant to expose an online serving API that can be called through the python SDK to facilitate faster online feature retrieval.

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