From 05ec33a66717990a8e17c9a7780d3b649ce34e02 Mon Sep 17 00:00:00 2001 From: Hyukjin Kwon Date: Thu, 8 Jan 2026 15:12:06 +0900 Subject: [PATCH] Recover documentation mistakenly removed in 4.1.0-preview2 release --- documentation.md | 228 ++++++++++++++++++++++++++++++++++++++++ site/documentation.html | 226 +++++++++++++++++++++++++++++++++++++++ 2 files changed, 454 insertions(+) diff --git a/documentation.md b/documentation.md index e82de21887..8d23c599dc 100644 --- a/documentation.md +++ b/documentation.md @@ -14,3 +14,231 @@ navigation: + +

Documentation for preview releases:

+ + + +

The documentation linked to above covers getting started with Spark, as well the built-in components MLlib, +Spark Streaming, and GraphX.

+ +

In addition, this page lists other resources for learning Spark.

+ +

Videos

+See the Apache Spark YouTube Channel for videos from Spark events. There are separate playlists for videos of different topics. Besides browsing through playlists, you can also find direct links to videos below. + +

Screencast Tutorial Videos

+ + +

Spark Summit Videos

+ + +

Meetup Talk Videos

+In addition to the videos listed below, you can also view all slides from Bay Area meetups here. + + + + + +

Training Materials

+ + + +

Hands-On Exercises

+ + + +

External Tutorials, Blog Posts, and Talks

+ + + +

Books

+ + +

Examples

+ + + +

Research Papers

+ +

+Spark was initially developed as a UC Berkeley research project, and much of the design is documented in papers. +The research page lists some of the original motivation and direction. +

+ diff --git a/site/documentation.html b/site/documentation.html index 7f64d94f1b..d3bb1e837e 100644 --- a/site/documentation.html +++ b/site/documentation.html @@ -159,8 +159,234 @@

Apache Spark™
  • Spark
  • Spark 4.1.0
    • +
  • Spark 4.0.1
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  • Spark 4.0.0
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  • Spark 3.5.7
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  • Spark 3.5.6
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  • Spark 3.5.5
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  • Spark 3.5.4
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  • Spark 3.5.3
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  • Spark 3.5.2
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  • Spark 3.5.1
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  • Spark 3.5.0
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  • Spark 3.4.4
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  • Spark 3.4.3
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  • Spark 3.4.2
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  • Spark 3.4.1
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  • Spark 3.4.0
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  • Spark 3.3.4
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  • Spark 3.3.3
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  • Spark 3.3.2
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  • Spark 3.3.1
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  • Spark 3.3.0
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  • Spark 3.2.4
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  • Spark 3.2.3
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  • Spark 3.2.2
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  • Spark 3.2.1
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  • Spark 3.2.0
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  • Spark 3.1.3
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  • Spark 3.1.2
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  • Spark 3.1.1
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  • Spark 3.0.3
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  • Spark 3.0.2
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  • Spark 3.0.1
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  • Spark 3.0.0
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  • Spark 2.4.8
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  • Spark 2.4.7
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  • Spark 2.4.6
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  • Spark 2.4.5
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  • Spark 2.4.4
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  • Spark 2.4.3
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  • Spark 2.4.2
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  • Spark 2.4.1
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  • Spark 2.4.0
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  • Spark 2.3.4
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  • Spark 2.3.3
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  • Spark 2.3.2
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  • Spark 2.3.1
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  • Spark 2.3.0
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  • Spark 2.2.3
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  • Spark 2.2.2
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  • Spark 2.2.1
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  • Spark 2.2.0
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  • Spark 2.1.3
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  • Spark 2.1.2
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  • Spark 2.1.1
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  • Spark 2.1.0
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  • Spark 2.0.2
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  • Spark 2.0.1
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  • Spark 2.0.0
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  • Spark 1.6.3
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  • Spark 1.6.2
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  • Spark 1.6.1
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  • Spark 1.6.0
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  • Spark 1.5.2
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  • Spark 1.5.1
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  • Spark 1.5.0
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  • Spark 1.4.1
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  • Spark 1.4.0
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  • Spark 1.3.1
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  • Spark 1.3.0
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  • Spark 1.2.1
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  • Spark 1.1.1
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  • Spark 1.0.2
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  • Spark 0.9.2
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  • Spark 0.8.1
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  • Spark 0.7.3
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  • Spark 0.6.2
    • +

    Documentation for preview releases:

    + + + +

    The documentation linked to above covers getting started with Spark, as well the built-in components MLlib, +Spark Streaming, and GraphX.

    + +

    In addition, this page lists other resources for learning Spark.

    + +

    Videos

    +

    See the Apache Spark YouTube Channel for videos from Spark events. There are separate playlists for videos of different topics. Besides browsing through playlists, you can also find direct links to videos below.

    + +

    Screencast Tutorial Videos

    + + +

    Spark Summit Videos

    + + +

    Meetup Talk Videos

    +

    In addition to the videos listed below, you can also view all slides from Bay Area meetups here.

    + + + + +

    +

    Training Materials

    +
      +
    • Training materials and exercises from Spark Summit 2014 are available online. These include videos and slides of talks as well as exercises you can run on your laptop. Topics include Spark core, tuning and debugging, Spark SQL, Spark Streaming, GraphX and MLlib.
      • +
    • Spark Summit 2013 included a training session, with slides and videos available on the training day agenda. + The session also included exercises that you can walk through on Amazon EC2.
      • +
    • The UC Berkeley AMPLab regularly hosts training camps on Spark and related projects. +Slides, videos and EC2-based exercises from each of these are available online: +
        +
      • AMP Camp 4 (Strata Santa Clara, Feb 2014) — focus on BlinkDB, MLlib, GraphX, Tachyon
        • +
      • AMP Camp 3 (Berkeley, CA, Aug 2013)
        • +
      • AMP Camp 2 (Strata Santa Clara, Feb 2013)
        • +
      • AMP Camp 1 (Berkeley, CA, Aug 2012)
        • +
      +
      • +
    + +

    Hands-On Exercises

    + + + +

    External Tutorials, Blog Posts, and Talks

    + + + +

    Books

    + + +

    Examples

    + + + +

    Research Papers

    + +

    +Spark was initially developed as a UC Berkeley research project, and much of the design is documented in papers. +The research page lists some of the original motivation and direction. +

    + +