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Feast main fixes + API links (#1291)
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Forwardports changes implemented for 5.5 at release

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Co-authored-by: rebekah-lawrence <[email protected]>
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oliverhowell and rebekah-lawrence authored Sep 16, 2024
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18 changes: 15 additions & 3 deletions docs/modules/ROOT/nav.adoc
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.Integrate
* xref:integrate:connectors.adoc[Overview]
* Integrating with Spring
* Files
// Files need an overview (options, what's available for SQL, what's available for Jet API)
** xref:integrate:file-connector.adoc[]
** xref:integrate:legacy-file-connector.adoc[]
* Integrate with Spring
** xref:spring:overview.adoc[Overview]
** xref:spring:configuration.adoc[]
** xref:spring:springaware.adoc[]
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** xref:spring:transaction-manager.adoc[]
** xref:spring:best-practices.adoc[]
* xref:integrate:integrate-with-feast.adoc[]
** xref:integrate:install-connect.adoc[]
** xref:integrate:install-connect.adoc[Install and connect Feast]
** xref:integrate:feast-config.adoc[]
** xref:integrate:feature-engineering-with-feast.adoc[]
** xref:integrate:feature-engineering-with-feast.adoc[Get started with Feast batch features]
** xref:integrate:streaming-features-with-feast.adoc[Get started with Feast streaming features]
* xref:integrate:kafka-connect-connectors.adoc[]
* Messaging System Connectors
** xref:integrate:messaging-system-connectors.adoc[Overview]
** xref:integrate:kafka-connector.adoc[]
** xref:integrate:kinesis-connector.adoc[]
** xref:integrate:jms-connector.adoc[]
** xref:integrate:pulsar-connector.adoc[]
* Data Structure Connectors
// Need an overview
** xref:integrate:map-connector.adoc[]
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2 changes: 2 additions & 0 deletions docs/modules/clients/pages/cplusplus.adoc
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:page-api-reference: http://hazelcast.github.io/hazelcast-cpp-client/{page-latest-supported-cplusplus-client}/index.html
[[c-client]]

TIP: For the latest C{plus}{plus} API documentation, see http://hazelcast.github.io/hazelcast-cpp-client/{page-latest-supported-cplusplus-client}/index.html[Hazelcast C++ Client docs].

You can use the native {cpp} client to connect to Hazelcast cluster members and
perform almost all operations that a member can perform.
Clients differ from members in that clients do not hold data. The {cpp} client is
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2 changes: 2 additions & 0 deletions docs/modules/clients/pages/dotnet.adoc
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:page-api-reference: http://hazelcast.github.io/hazelcast-csharp-client/{page-latest-supported-csharp-client}/api/index.html
[[net-client]]

TIP: For the latest .NET API documentation, see http://hazelcast.github.io/hazelcast-csharp-client/{page-latest-supported-csharp-client}/api/index.html[Hazelcast .NET Client docs].

You can use the native .NET client to connect to Hazelcast client members.
The API is very similar to the Java native client.

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2 changes: 2 additions & 0 deletions docs/modules/clients/pages/go.adoc
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= Go Client
:page-api-reference: https://pkg.go.dev/github.com/hazelcast/hazelcast-go-client@v{page-latest-supported-go-client}

TIP: For the latest Go API documentation, see https://pkg.go.dev/github.com/hazelcast/hazelcast-go-client@v{page-latest-supported-go-client}[Hazelcast Go Client docs].

Go Client implementation for Hazelcast. It is implemented using the Hazelcast Open Binary Client Protocol.

See Hazelcast Go client's GitHub https://github.com/hazelcast/hazelcast-go-client[repo^]
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2 changes: 2 additions & 0 deletions docs/modules/clients/pages/java.adoc
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:page-toclevels: 3
[[java-client]]

TIP: For the latest Java API documentation, see https://docs.hazelcast.org/docs/{page-latest-supported-java-client}/javadoc[Hazelcast Java Client docs].

To get started, include the `hazelcast.jar` dependency in your classpath. Once included, you can start using this client as if
you are using the Hazelcast API. The differences are discussed in the below sections.

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7 changes: 3 additions & 4 deletions docs/modules/clients/pages/memcache.adoc
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= Memcache Client

NOTE: Hazelcast Memcache Client only supports ASCII protocol. Binary Protocol is not supported.

A Memcache client written in any language can talk directly to a Hazelcast cluster.
No additional configuration is required.

To be able to use a Memcache client, you must enable
the Memcache client request listener service using either one of the following configuration options:
NOTE: Hazelcast Memcache Client only supports ASCII protocol. Binary Protocol is not supported.

To be able to use a Memcache client, you must enable the Memcache client request listener service using either one of the following configuration options:

1 - Using the `network` configuration element:

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2 changes: 2 additions & 0 deletions docs/modules/clients/pages/nodejs.adoc
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= Node.js Client
:page-api-reference: http://hazelcast.github.io/hazelcast-nodejs-client/api/{page-latest-supported-nodejs-client}/docs/

TIP: For the latest Node.js API documentation, see http://hazelcast.github.io/hazelcast-nodejs-client/api/{page-latest-supported-nodejs-client}/docs/[Hazelcast Node.js Client docs].

Node.js Client implementation for Hazelcast. It is implemented using the Hazelcast Open Binary Client Protocol.

See Hazelcast Node.js client's GitHub https://github.com/hazelcast/hazelcast-nodejs-client[repo^]
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2 changes: 2 additions & 0 deletions docs/modules/clients/pages/python.adoc
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= Python Client
:page-api-reference: https://hazelcast.readthedocs.io/en/v{page-latest-supported-python-client}/index.html

TIP: For the latest Python API documentation, see https://hazelcast.readthedocs.io/en/v{page-latest-supported-python-client}/index.html[Hazelcast Python Client docs].

Python Client implementation for Hazelcast. It is implemented using the Hazelcast Open Binary Client Protocol.

See Hazelcast Python client's GitHub https://github.com/hazelcast/hazelcast-python-client[repo^]
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1 change: 0 additions & 1 deletion docs/modules/integrate/pages/feast-config.adoc
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= Configure Feature Store
:page-enterprise: true
:description: To use a Feast project, you must configure the feature store. The configuration is defined in a YAML configuration file.

{description}
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Expand Up @@ -13,7 +13,7 @@ Finally, you will transfer the features in the offline store to the online store

You will need the following ready before starting the tutorial:

* Hazelcast CLC. link:https://docs.hazelcast.com/clc/latest/install-clc[Installation instructions]
* Hazelcast CLC (see link:https://docs.hazelcast.com/clc/latest/install-clc[Install CLC])
* A recent version of Docker and Docker Compose

To set up your project, complete the following steps:
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1 change: 0 additions & 1 deletion docs/modules/integrate/pages/install-connect.adoc
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= Install Feast and Connect to Hazelcast
:page-enterprise: true
:description: Before you can use Feast with Hazelcast as an online store, you must install Feast and connect to Hazelcast.

{description}
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5 changes: 2 additions & 3 deletions docs/modules/integrate/pages/integrate-with-feast.adoc
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= Integrate with Feast
:page-enterprise: true
:description: pass:q[Feast (**Fea**ture **St**ore) is a customizable operational data system, which uses your existing infratstructure to manage and serve machine learning features to real-time models. When integrated with Hazelcast, you can benefit from an online store that supports materializing feature values in a running Hazelcast cluster.]

{description}
Expand Down Expand Up @@ -115,5 +114,5 @@ To use Feast with Hazelcast, you must do the following:

You can also work through the following tutorials:

* Get Started with Feature Store
* Feature Compute and Transformation
* xref:integrate:feature-engineering-with-feast.adoc[Get started with Feast streaming]
* xref:integrate:streaming-features-with-feast.adoc[Get started with Feast feature engineering]
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Expand Up @@ -12,7 +12,7 @@ Then update the online feature store using a Jet job in real time from transacti

You will need the following ready before starting the tutorial:

* Hazelcast CLC - link:https://docs.hazelcast.com/clc/latest/install-clc[Installation instructions]
* Hazelcast CLC (see link:https://docs.hazelcast.com/clc/latest/install-clc[Install CLC])
* A recent version of Docker and Docker Compose

To set up your project, complete the following steps:
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]
}
----
== Summary
In this tutorial, you learned how to set up a feature engineering project that uses Hazelcast as the online store.
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