From 8781cd3c4b6e58c131b62ee251be50dec6939106 Mon Sep 17 00:00:00 2001 From: Reynold Xin Date: Tue, 15 Nov 2016 22:32:03 -0800 Subject: Add CloudSort news entry. --- site/news/amp-camp-2013-registration-ope.html | 6 +- site/news/announcing-the-first-spark-summit.html | 6 +- site/news/fourth-spark-screencast-published.html | 6 +- site/news/index.html | 26 ++- site/news/nsdi-paper.html | 6 +- site/news/one-month-to-spark-summit-2015.html | 6 +- .../news/proposals-open-for-spark-summit-east.html | 6 +- .../registration-open-for-spark-summit-east.html | 6 +- site/news/run-spark-and-shark-on-amazon-emr.html | 6 +- site/news/spark-0-6-1-and-0-5-2-released.html | 6 +- site/news/spark-0-6-2-released.html | 6 +- site/news/spark-0-7-0-released.html | 6 +- site/news/spark-0-7-2-released.html | 6 +- site/news/spark-0-7-3-released.html | 6 +- site/news/spark-0-8-0-released.html | 6 +- site/news/spark-0-8-1-released.html | 6 +- site/news/spark-0-9-0-released.html | 6 +- site/news/spark-0-9-1-released.html | 8 +- site/news/spark-0-9-2-released.html | 8 +- site/news/spark-1-0-0-released.html | 6 +- site/news/spark-1-0-1-released.html | 6 +- site/news/spark-1-0-2-released.html | 6 +- site/news/spark-1-1-0-released.html | 8 +- site/news/spark-1-1-1-released.html | 6 +- site/news/spark-1-2-0-released.html | 6 +- site/news/spark-1-2-1-released.html | 6 +- site/news/spark-1-2-2-released.html | 8 +- site/news/spark-1-3-0-released.html | 6 +- site/news/spark-1-4-0-released.html | 6 +- site/news/spark-1-4-1-released.html | 6 +- site/news/spark-1-5-0-released.html | 6 +- site/news/spark-1-5-1-released.html | 6 +- site/news/spark-1-5-2-released.html | 6 +- site/news/spark-1-6-0-released.html | 6 +- site/news/spark-1-6-1-released.html | 6 +- site/news/spark-1-6-2-released.html | 6 +- site/news/spark-1-6-3-released.html | 6 +- site/news/spark-2-0-0-released.html | 6 +- site/news/spark-2-0-1-released.html | 6 +- site/news/spark-2-0-2-released.html | 6 +- site/news/spark-2.0.0-preview.html | 6 +- .../news/spark-accepted-into-apache-incubator.html | 6 +- site/news/spark-and-shark-in-the-news.html | 8 +- site/news/spark-becomes-tlp.html | 6 +- site/news/spark-featured-in-wired.html | 6 +- .../news/spark-mailing-lists-moving-to-apache.html | 6 +- site/news/spark-meetups.html | 6 +- site/news/spark-screencasts-published.html | 6 +- site/news/spark-summit-2013-is-a-wrap.html | 6 +- site/news/spark-summit-2014-videos-posted.html | 6 +- site/news/spark-summit-2015-videos-posted.html | 6 +- site/news/spark-summit-agenda-posted.html | 6 +- .../news/spark-summit-east-2015-videos-posted.html | 8 +- site/news/spark-summit-east-2016-cfp-closing.html | 6 +- site/news/spark-summit-east-agenda-posted.html | 6 +- site/news/spark-summit-europe-agenda-posted.html | 6 +- site/news/spark-summit-europe.html | 6 +- .../news/spark-summit-june-2016-agenda-posted.html | 6 +- site/news/spark-tips-from-quantifind.html | 6 +- .../spark-user-survey-and-powered-by-page.html | 6 +- site/news/spark-version-0-6-0-released.html | 6 +- .../news/spark-wins-cloudsort-100tb-benchmark.html | 218 +++++++++++++++++++++ ...ark-wins-daytona-gray-sort-100tb-benchmark.html | 6 +- .../strata-exercises-now-available-online.html | 6 +- site/news/submit-talks-to-spark-summit-2014.html | 6 +- site/news/submit-talks-to-spark-summit-2016.html | 6 +- .../submit-talks-to-spark-summit-east-2016.html | 6 +- .../news/submit-talks-to-spark-summit-eu-2016.html | 6 +- site/news/two-weeks-to-spark-summit-2014.html | 6 +- .../video-from-first-spark-development-meetup.html | 6 +- 70 files changed, 446 insertions(+), 218 deletions(-) create mode 100644 site/news/spark-wins-cloudsort-100tb-benchmark.html (limited to 'site/news') diff --git a/site/news/amp-camp-2013-registration-ope.html b/site/news/amp-camp-2013-registration-ope.html index d5bb6e9b3..e575bcc25 100644 --- a/site/news/amp-camp-2013-registration-ope.html +++ b/site/news/amp-camp-2013-registration-ope.html @@ -150,6 +150,9 @@
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diff --git a/site/news/announcing-the-first-spark-summit.html b/site/news/announcing-the-first-spark-summit.html index 282c9fd8e..72d9296e1 100644 --- a/site/news/announcing-the-first-spark-summit.html +++ b/site/news/announcing-the-first-spark-summit.html @@ -150,6 +150,9 @@
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diff --git a/site/news/fourth-spark-screencast-published.html b/site/news/fourth-spark-screencast-published.html index 768c82a8d..3c10aac6a 100644 --- a/site/news/fourth-spark-screencast-published.html +++ b/site/news/fourth-spark-screencast-published.html @@ -150,6 +150,9 @@
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diff --git a/site/news/index.html b/site/news/index.html index dc9e7fc95..488a16df8 100644 --- a/site/news/index.html +++ b/site/news/index.html @@ -150,6 +150,9 @@
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@@ -185,6 +185,16 @@

Spark News

+
+
+

Spark wins CloudSort Benchmark as the most efficient engine

+
November 15, 2016
+
+

We are proud to announce that Apache Spark won the 2016 CloudSort Benchmark (both Daytona and Indy category). A joint team from Nanjing University, Alibaba Group, and Databricks Inc. entered the competition using NADSort, a distributed sorting program built on top of Spark, and set a new world record as the most cost-efficient way to sort 100TB of data.

+ +
+
+

Spark 2.0.2 released

@@ -414,7 +424,7 @@ The Summit will contain presen

Spark Summit East 2015 Videos Posted

April 20, 2015
-

The videos and slides for Spark Summit East 2015 are now all available online. Watch them to get the latest news from the Spark community as well as use cases and applications built on top.

+

The videos and slides for Spark Summit East 2015 are now all available online. Watch them to get the latest news from the Spark community as well as use cases and applications built on top.

@@ -424,7 +434,7 @@ The Summit will contain presen

Spark 1.2.2 and 1.3.1 released

April 17, 2015
-

We are happy to announce the availability of Spark 1.2.2 and Spark 1.3.1! These are both maintenance releases that collectively feature the work of more than 90 developers.

+

We are happy to announce the availability of Spark 1.2.2 and Spark 1.3.1! These are both maintenance releases that collectively feature the work of more than 90 developers.

@@ -536,7 +546,7 @@ The Summit will contain presen

We are happy to announce the availability of Spark 0.9.2! Apache Spark 0.9.2 is a maintenance release with bug fixes. We recommend all 0.9.x users to upgrade to this stable release. -Contributions to this release came from 28 developers.

+Contributions to this release came from 28 developers.

@@ -607,7 +617,7 @@ about the latest happenings in Spark.

We are happy to announce the availability of Spark 0.9.1! Apache Spark 0.9.1 is a maintenance release with bug fixes, performance improvements, better stability with YARN and improved parity of the Scala and Python API. We recommend all 0.9.0 users to upgrade to this stable release. -Contributions to this release came from 37 developers.

+Contributions to this release came from 37 developers.

@@ -857,7 +867,7 @@ Over 450 Spark developers and enthusiasts from 13 countries and more than 180 co
  • DataInformed interviewed two Spark users and wrote about their applications in anomaly detection, predictive analytics and data mining.
    • -

    In other news, there will be a full day of tutorials on Spark and Shark at the O’Reilly Strata conference in February. They include a three-hour introduction to Spark, Shark and BDAS Tuesday morning, and a three-hour hands-on exercise session.

    +

    In other news, there will be a full day of tutorials on Spark and Shark at the O’Reilly Strata conference in February. They include a three-hour introduction to Spark, Shark and BDAS Tuesday morning, and a three-hour hands-on exercise session.

    diff --git a/site/news/nsdi-paper.html b/site/news/nsdi-paper.html index b50594313..ebd8d084d 100644 --- a/site/news/nsdi-paper.html +++ b/site/news/nsdi-paper.html @@ -150,6 +150,9 @@
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    diff --git a/site/news/spark-0-8-0-released.html b/site/news/spark-0-8-0-released.html index e29a7c14d..7ca737931 100644 --- a/site/news/spark-0-8-0-released.html +++ b/site/news/spark-0-8-0-released.html @@ -150,6 +150,9 @@
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    diff --git a/site/news/spark-0-8-1-released.html b/site/news/spark-0-8-1-released.html index d78fc4843..c35c55988 100644 --- a/site/news/spark-0-8-1-released.html +++ b/site/news/spark-0-8-1-released.html @@ -150,6 +150,9 @@
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    diff --git a/site/news/spark-0-9-0-released.html b/site/news/spark-0-9-0-released.html index b576abab2..7a901e52e 100644 --- a/site/news/spark-0-9-0-released.html +++ b/site/news/spark-0-9-0-released.html @@ -150,6 +150,9 @@
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    diff --git a/site/news/spark-0-9-1-released.html b/site/news/spark-0-9-1-released.html index 0a1f33fa6..b480a6d18 100644 --- a/site/news/spark-0-9-1-released.html +++ b/site/news/spark-0-9-1-released.html @@ -150,6 +150,9 @@
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    @@ -189,7 +189,7 @@

    We are happy to announce the availability of Spark 0.9.1! Apache Spark 0.9.1 is a maintenance release with bug fixes, performance improvements, better stability with YARN and improved parity of the Scala and Python API. We recommend all 0.9.0 users to upgrade to this stable release. -Contributions to this release came from 37 developers.

    +Contributions to this release came from 37 developers.

    Visit the release notes to read about the new features, or download the release today.

    diff --git a/site/news/spark-0-9-2-released.html b/site/news/spark-0-9-2-released.html index a1ba1e3da..cae8153f9 100644 --- a/site/news/spark-0-9-2-released.html +++ b/site/news/spark-0-9-2-released.html @@ -150,6 +150,9 @@
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    @@ -188,7 +188,7 @@

    We are happy to announce the availability of Spark 0.9.2! Apache Spark 0.9.2 is a maintenance release with bug fixes. We recommend all 0.9.x users to upgrade to this stable release. -Contributions to this release came from 28 developers.

    +Contributions to this release came from 28 developers.

    Visit the release notes to read about the new features, or download the release today.

    diff --git a/site/news/spark-1-0-0-released.html b/site/news/spark-1-0-0-released.html index 14b745d20..29db8c4cc 100644 --- a/site/news/spark-1-0-0-released.html +++ b/site/news/spark-1-0-0-released.html @@ -150,6 +150,9 @@
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    diff --git a/site/news/spark-1-0-1-released.html b/site/news/spark-1-0-1-released.html index a0af71bfb..15364a18b 100644 --- a/site/news/spark-1-0-1-released.html +++ b/site/news/spark-1-0-1-released.html @@ -150,6 +150,9 @@
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    diff --git a/site/news/spark-1-0-2-released.html b/site/news/spark-1-0-2-released.html index 4296b60a5..c33c38d08 100644 --- a/site/news/spark-1-0-2-released.html +++ b/site/news/spark-1-0-2-released.html @@ -150,6 +150,9 @@
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    diff --git a/site/news/spark-1-1-0-released.html b/site/news/spark-1-1-0-released.html index ea8c4c8d1..e1247859a 100644 --- a/site/news/spark-1-1-0-released.html +++ b/site/news/spark-1-1-0-released.html @@ -150,6 +150,9 @@
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    @@ -188,7 +188,7 @@

    We are happy to announce the availability of Spark 1.1.0! Spark 1.1.0 is the second release on the API-compatible 1.X line. It is Spark’s largest release ever, with contributions from 171 developers!

    -

    This release brings operational and performance improvements in Spark core including a new implementation of the Spark shuffle designed for very large scale workloads. Spark 1.1 adds significant extensions to the newest Spark modules, MLlib and Spark SQL. Spark SQL introduces a JDBC server, byte code generation for fast expression evaluation, a public types API, JSON support, and other features and optimizations. MLlib introduces a new statistics libary along with several new algorithms and optimizations. Spark 1.1 also builds out Spark’s Python support and adds new components to the Spark Streaming module.

    +

    This release brings operational and performance improvements in Spark core including a new implementation of the Spark shuffle designed for very large scale workloads. Spark 1.1 adds significant extensions to the newest Spark modules, MLlib and Spark SQL. Spark SQL introduces a JDBC server, byte code generation for fast expression evaluation, a public types API, JSON support, and other features and optimizations. MLlib introduces a new statistics libary along with several new algorithms and optimizations. Spark 1.1 also builds out Spark’s Python support and adds new components to the Spark Streaming module.

    Visit the release notes to read about the new features, or download the release today.

    diff --git a/site/news/spark-1-1-1-released.html b/site/news/spark-1-1-1-released.html index 9947660ab..4dcd46e79 100644 --- a/site/news/spark-1-1-1-released.html +++ b/site/news/spark-1-1-1-released.html @@ -150,6 +150,9 @@
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    diff --git a/site/news/spark-1-2-0-released.html b/site/news/spark-1-2-0-released.html index 71e4710cb..238bebf1c 100644 --- a/site/news/spark-1-2-0-released.html +++ b/site/news/spark-1-2-0-released.html @@ -150,6 +150,9 @@
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    diff --git a/site/news/spark-1-2-1-released.html b/site/news/spark-1-2-1-released.html index 5442ffd40..61dda9523 100644 --- a/site/news/spark-1-2-1-released.html +++ b/site/news/spark-1-2-1-released.html @@ -150,6 +150,9 @@
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    @@ -186,7 +186,7 @@

    Spark 1.2.2 and 1.3.1 released

    -

    We are happy to announce the availability of Spark 1.2.2 and Spark 1.3.1! These are both maintenance releases that collectively feature the work of more than 90 developers.

    +

    We are happy to announce the availability of Spark 1.2.2 and Spark 1.3.1! These are both maintenance releases that collectively feature the work of more than 90 developers.

    To download either release, visit the downloads page.

    diff --git a/site/news/spark-1-3-0-released.html b/site/news/spark-1-3-0-released.html index 13fcd74c5..b2d54ca17 100644 --- a/site/news/spark-1-3-0-released.html +++ b/site/news/spark-1-3-0-released.html @@ -150,6 +150,9 @@
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    @@ -196,7 +196,7 @@
  • DataInformed interviewed two Spark users and wrote about their applications in anomaly detection, predictive analytics and data mining.
    • -

    In other news, there will be a full day of tutorials on Spark and Shark at the O’Reilly Strata conference in February. They include a three-hour introduction to Spark, Shark and BDAS Tuesday morning, and a three-hour hands-on exercise session.

    +

    In other news, there will be a full day of tutorials on Spark and Shark at the O’Reilly Strata conference in February. They include a three-hour introduction to Spark, Shark and BDAS Tuesday morning, and a three-hour hands-on exercise session.

    diff --git a/site/news/spark-becomes-tlp.html b/site/news/spark-becomes-tlp.html index 5b74ddc2e..7c01caf1d 100644 --- a/site/news/spark-becomes-tlp.html +++ b/site/news/spark-becomes-tlp.html @@ -150,6 +150,9 @@

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    @@ -186,7 +186,7 @@

    Spark Summit East 2015 Videos Posted

    -

    The videos and slides for Spark Summit East 2015 are now all available online. Watch them to get the latest news from the Spark community as well as use cases and applications built on top.

    +

    The videos and slides for Spark Summit East 2015 are now all available online. Watch them to get the latest news from the Spark community as well as use cases and applications built on top.

    If you like what you see, consider joining us at the 2015 Spark Summit in San Francisco.

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    diff --git a/site/news/spark-wins-cloudsort-100tb-benchmark.html b/site/news/spark-wins-cloudsort-100tb-benchmark.html new file mode 100644 index 000000000..ad15b0fe8 --- /dev/null +++ b/site/news/spark-wins-cloudsort-100tb-benchmark.html @@ -0,0 +1,218 @@ + + + + + + + + + Spark wins CloudSort Benchmark as the most efficient engine | Apache Spark + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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    + + + Lightning-fast cluster computing + +

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    +
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    Spark wins CloudSort Benchmark as the most efficient engine

    + + +

    We are proud to announce that Apache Spark won the 2016 CloudSort Benchmark (both Daytona and Indy category). A joint team from Nanjing University, Alibaba Group, and Databricks Inc. entered the competition using NADSort, a distributed sorting program built on top of Spark, and set a new world record as the most cost-efficient way to sort 100TB of data.

    + +

    They sorted 100TB of data using only $144 USD worth of public cloud resources, beating the previous record that cost $451 USD by the University of California, San Diego.

    + +

    This adds to the 2014 GraySort record Spark won, and validates Spark as the most efficient data processing engine.

    + +

    For more information, see the Databricks blog article (in English) written by Spark committer Reynold Xin, or the Nanjing University press release (in Chinese).

    + + + +

    +
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