This is an automated email from the ASF dual-hosted git repository. srowen pushed a commit to branch asf-site in repository https://gitbox.apache.org/repos/asf/spark-website.git
The following commit(s) were added to refs/heads/asf-site by this push: new b8b47eeff Fix dead link in documentation.html and third-party-projects.html b8b47eeff is described below commit b8b47eeffb0c1167b1eb9ef4b331dcd7e223d167 Author: yangjie01 <yangji...@baidu.com> AuthorDate: Wed Sep 7 08:30:23 2022 -0500 Fix dead link in documentation.html and third-party-projects.html This pr is the first part of SPARK-40322, there are a total of 5 pages with dead links: - documentation.html - third-party-projects.html - release-process.html - news - powered-by.html This pr fix `documentation.html` and `third-party-projects.html` Author: yangjie01 <yangji...@baidu.com> Closes #411 from LuciferYang/deadlink-p1. --- documentation.md | 3 +-- site/documentation.html | 3 +-- site/third-party-projects.html | 4 +--- third-party-projects.md | 4 +--- 4 files changed, 4 insertions(+), 10 deletions(-) diff --git a/documentation.md b/documentation.md index 4b71656c4..f75f9dcf2 100644 --- a/documentation.md +++ b/documentation.md @@ -77,7 +77,7 @@ navigation: </ul> <p>The documentation linked to above covers getting started with Spark, as well the built-in components <a href="{{site.baseurl}}/docs/latest/mllib-guide.html">MLlib</a>, -<a href="{{site.baseurl}}/docs/latest/streaming-programming-guide.html">Spark Streaming</a>, and <a href="{{site.baseurl}}/docs/latest/graphx-guide.html">GraphX</a>.</p> +<a href="{{site.baseurl}}/docs/latest/streaming-programming-guide.html">Spark Streaming</a>, and <a href="{{site.baseurl}}/docs/latest/graphx-programming-guide.html">GraphX</a>.</p> <p>In addition, this page lists other resources for learning Spark.</p> @@ -176,7 +176,6 @@ Slides, videos and EC2-based exercises from each of these are available online: <h3>External Tutorials, Blog Posts, and Talks</h3> <ul> - <li><a href="http://engineering.ooyala.com/blog/using-parquet-and-scrooge-spark">Using Parquet and Scrooge with Spark</a> — Scala-friendly Parquet and Avro usage tutorial from Ooyala's Evan Chan</li> <li><a href="http://codeforhire.com/2014/02/18/using-spark-with-mongodb/">Using Spark with MongoDB</a> — by Sampo Niskanen from Wellmo</li> <li><a href="https://spark-summit.org/2013">Spark Summit 2013</a> — contained 30 talks about Spark use cases, available as slides and videos</li> <li><a href="http://zenfractal.com/2013/08/21/a-powerful-big-data-trio/">A Powerful Big Data Trio: Spark, Parquet and Avro</a> — Using Parquet in Spark by Matt Massie</li> diff --git a/site/documentation.html b/site/documentation.html index ef0095ce6..cd0fc8cdf 100644 --- a/site/documentation.html +++ b/site/documentation.html @@ -192,7 +192,7 @@ </ul> <p>The documentation linked to above covers getting started with Spark, as well the built-in components <a href="/docs/latest/mllib-guide.html">MLlib</a>, -<a href="/docs/latest/streaming-programming-guide.html">Spark Streaming</a>, and <a href="/docs/latest/graphx-guide.html">GraphX</a>.</p> +<a href="/docs/latest/streaming-programming-guide.html">Spark Streaming</a>, and <a href="/docs/latest/graphx-programming-guide.html">GraphX</a>.</p> <p>In addition, this page lists other resources for learning Spark.</p> @@ -290,7 +290,6 @@ Slides, videos and EC2-based exercises from each of these are available online: <h3>External Tutorials, Blog Posts, and Talks</h3> <ul> - <li><a href="http://engineering.ooyala.com/blog/using-parquet-and-scrooge-spark">Using Parquet and Scrooge with Spark</a> — Scala-friendly Parquet and Avro usage tutorial from Ooyala's Evan Chan</li> <li><a href="http://codeforhire.com/2014/02/18/using-spark-with-mongodb/">Using Spark with MongoDB</a> — by Sampo Niskanen from Wellmo</li> <li><a href="https://spark-summit.org/2013">Spark Summit 2013</a> — contained 30 talks about Spark use cases, available as slides and videos</li> <li><a href="http://zenfractal.com/2013/08/21/a-powerful-big-data-trio/">A Powerful Big Data Trio: Spark, Parquet and Avro</a> — Using Parquet in Spark by Matt Massie</li> diff --git a/site/third-party-projects.html b/site/third-party-projects.html index bb07e2e8e..fedefe081 100644 --- a/site/third-party-projects.html +++ b/site/third-party-projects.html @@ -170,14 +170,12 @@ against Spark, and data scientists to use Javascript in Jupyter notebooks.</li> Mahout has switched to using Spark as the backend</li> <li><a href="https://wiki.apache.org/mrql/">Apache MRQL</a> - A query processing and optimization system for large-scale, distributed data analysis, built on top of Apache Hadoop, Hama, and Spark</li> - <li><a href="http://blinkdb.org/">BlinkDB</a> - a massively parallel, approximate query engine built + <li><a href="https://github.com/sameeragarwal/blinkdb">BlinkDB</a> - a massively parallel, approximate query engine built on top of Shark and Spark</li> <li><a href="https://github.com/adobe-research/spindle">Spindle</a> - Spark/Parquet-based web analytics query engine</li> <li><a href="https://github.com/thunderain-project/thunderain">Thunderain</a> - a framework for combining stream processing with historical data, think Lambda architecture</li> - <li><a href="https://github.com/AyasdiOpenSource/df">DF</a> from Ayasdi - a Pandas-like data frame -implementation for Spark</li> <li><a href="https://github.com/OryxProject/oryx">Oryx</a> - Lambda architecture on Apache Spark, Apache Kafka for real-time large scale machine learning</li> <li><a href="https://github.com/bigdatagenomics/adam">ADAM</a> - A framework and CLI for loading, diff --git a/third-party-projects.md b/third-party-projects.md index b08c18e13..1db600c35 100644 --- a/third-party-projects.md +++ b/third-party-projects.md @@ -52,14 +52,12 @@ against Spark, and data scientists to use Javascript in Jupyter notebooks. Mahout has switched to using Spark as the backend - <a href="https://wiki.apache.org/mrql/">Apache MRQL</a> - A query processing and optimization system for large-scale, distributed data analysis, built on top of Apache Hadoop, Hama, and Spark -- <a href="http://blinkdb.org/">BlinkDB</a> - a massively parallel, approximate query engine built +- <a href="https://github.com/sameeragarwal/blinkdb">BlinkDB</a> - a massively parallel, approximate query engine built on top of Shark and Spark - <a href="https://github.com/adobe-research/spindle">Spindle</a> - Spark/Parquet-based web analytics query engine - <a href="https://github.com/thunderain-project/thunderain">Thunderain</a> - a framework for combining stream processing with historical data, think Lambda architecture -- <a href="https://github.com/AyasdiOpenSource/df">DF</a> from Ayasdi - a Pandas-like data frame -implementation for Spark - <a href="https://github.com/OryxProject/oryx">Oryx</a> - Lambda architecture on Apache Spark, Apache Kafka for real-time large scale machine learning - <a href="https://github.com/bigdatagenomics/adam">ADAM</a> - A framework and CLI for loading, --------------------------------------------------------------------- To unsubscribe, e-mail: commits-unsubscr...@spark.apache.org For additional commands, e-mail: commits-h...@spark.apache.org