From b9aa4c3eefe4788fa97086ea87d92d8e3bfbc535 Mon Sep 17 00:00:00 2001 From: Reynold Xin Date: Mon, 7 Nov 2016 19:05:12 -0800 Subject: Add 1.6.3 release. --- site/community.html | 6 +- site/documentation.html | 12 +- site/downloads.html | 6 +- site/examples.html | 6 +- site/faq.html | 6 +- site/graphx/index.html | 6 +- site/index.html | 6 +- site/js/downloads.js | 3 +- site/mailing-lists.html | 6 +- site/mllib/index.html | 6 +- 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 | 30 ++- 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 | 213 ++++++++++++++++++++ site/news/spark-2-0-0-released.html | 6 +- site/news/spark-2-0-1-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 +- ...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 +- site/releases/spark-release-0-3.html | 6 +- site/releases/spark-release-0-5-0.html | 6 +- site/releases/spark-release-0-5-1.html | 6 +- site/releases/spark-release-0-5-2.html | 6 +- site/releases/spark-release-0-6-0.html | 6 +- site/releases/spark-release-0-6-1.html | 6 +- site/releases/spark-release-0-6-2.html | 6 +- site/releases/spark-release-0-7-0.html | 6 +- site/releases/spark-release-0-7-2.html | 6 +- site/releases/spark-release-0-7-3.html | 6 +- site/releases/spark-release-0-8-0.html | 10 +- site/releases/spark-release-0-8-1.html | 6 +- site/releases/spark-release-0-9-0.html | 6 +- site/releases/spark-release-0-9-1.html | 26 +-- site/releases/spark-release-0-9-2.html | 6 +- site/releases/spark-release-1-0-0.html | 6 +- site/releases/spark-release-1-0-1.html | 14 +- site/releases/spark-release-1-0-2.html | 8 +- site/releases/spark-release-1-1-0.html | 12 +- site/releases/spark-release-1-1-1.html | 6 +- site/releases/spark-release-1-2-0.html | 8 +- site/releases/spark-release-1-2-1.html | 6 +- site/releases/spark-release-1-2-2.html | 6 +- site/releases/spark-release-1-3-0.html | 12 +- site/releases/spark-release-1-3-1.html | 12 +- site/releases/spark-release-1-4-0.html | 10 +- site/releases/spark-release-1-4-1.html | 6 +- site/releases/spark-release-1-5-0.html | 36 ++-- site/releases/spark-release-1-5-1.html | 6 +- site/releases/spark-release-1-5-2.html | 6 +- site/releases/spark-release-1-6-0.html | 26 +-- site/releases/spark-release-1-6-1.html | 6 +- site/releases/spark-release-1-6-2.html | 6 +- site/releases/spark-release-1-6-3.html | 215 +++++++++++++++++++++ site/releases/spark-release-2-0-0.html | 42 ++-- site/releases/spark-release-2-0-1.html | 6 +- site/research.html | 6 +- site/screencasts/1-first-steps-with-spark.html | 6 +- .../2-spark-documentation-overview.html | 6 +- .../screencasts/3-transformations-and-caching.html | 6 +- site/screencasts/4-a-standalone-job-in-spark.html | 6 +- site/screencasts/index.html | 6 +- site/sql/index.html | 6 +- site/streaming/index.html | 6 +- site/trademarks.html | 6 +- 123 files changed, 888 insertions(+), 449 deletions(-) create mode 100644 site/news/spark-1-6-3-released.html create mode 100644 site/releases/spark-release-1-6-3.html (limited to 'site') diff --git a/site/community.html b/site/community.html index 9ca485537..870053b82 100644 --- a/site/community.html +++ b/site/community.html @@ -150,6 +150,9 @@
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diff --git a/site/documentation.html b/site/documentation.html index ae706ec47..e4779567a 100644 --- a/site/documentation.html +++ b/site/documentation.html @@ -150,6 +150,9 @@
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@@ -190,6 +190,7 @@

Meetup Talk Videos

-

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

+

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

-

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 2eceb8578..e73ce78da 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/one-month-to-spark-summit-2015.html b/site/news/one-month-to-spark-summit-2015.html index 8aa7e7164..cfec6958a 100644 --- a/site/news/one-month-to-spark-summit-2015.html +++ b/site/news/one-month-to-spark-summit-2015.html @@ -150,6 +150,9 @@
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diff --git a/site/news/proposals-open-for-spark-summit-east.html b/site/news/proposals-open-for-spark-summit-east.html index 957fb2ed6..598750d5b 100644 --- a/site/news/proposals-open-for-spark-summit-east.html +++ b/site/news/proposals-open-for-spark-summit-east.html @@ -150,6 +150,9 @@
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diff --git a/site/news/registration-open-for-spark-summit-east.html b/site/news/registration-open-for-spark-summit-east.html index 2a160e8bc..d70ec6edf 100644 --- a/site/news/registration-open-for-spark-summit-east.html +++ b/site/news/registration-open-for-spark-summit-east.html @@ -150,6 +150,9 @@
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diff --git a/site/news/run-spark-and-shark-on-amazon-emr.html b/site/news/run-spark-and-shark-on-amazon-emr.html index 2e936e05f..d8a9a87ae 100644 --- a/site/news/run-spark-and-shark-on-amazon-emr.html +++ b/site/news/run-spark-and-shark-on-amazon-emr.html @@ -150,6 +150,9 @@
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diff --git a/site/news/spark-0-6-1-and-0-5-2-released.html b/site/news/spark-0-6-1-and-0-5-2-released.html index 572ced7c3..c85d135c4 100644 --- a/site/news/spark-0-6-1-and-0-5-2-released.html +++ b/site/news/spark-0-6-1-and-0-5-2-released.html @@ -150,6 +150,9 @@
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diff --git a/site/news/spark-0-6-2-released.html b/site/news/spark-0-6-2-released.html index 4814b40f8..ced84de4c 100644 --- a/site/news/spark-0-6-2-released.html +++ b/site/news/spark-0-6-2-released.html @@ -150,6 +150,9 @@
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diff --git a/site/news/spark-0-7-0-released.html b/site/news/spark-0-7-0-released.html index cc67f77e4..97fd52d1f 100644 --- a/site/news/spark-0-7-0-released.html +++ b/site/news/spark-0-7-0-released.html @@ -150,6 +150,9 @@
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diff --git a/site/news/spark-0-7-2-released.html b/site/news/spark-0-7-2-released.html index e6c783418..7da055a78 100644 --- a/site/news/spark-0-7-2-released.html +++ b/site/news/spark-0-7-2-released.html @@ -150,6 +150,9 @@
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diff --git a/site/news/spark-0-7-3-released.html b/site/news/spark-0-7-3-released.html index 7e963df82..3e793c298 100644 --- a/site/news/spark-0-7-3-released.html +++ b/site/news/spark-0-7-3-released.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 c6bd17d96..8cbfed383 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 b2bccb874..6e36603a4 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 120a06a27..f31323d9d 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 efb2e66b5..f8f87b289 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 9c219d4a3..d4eab6b7d 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 1291c6f0e..b27817e94 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 e55070be2..657ed7dc4 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 3418cb539..b2bb782f7 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 40d95fb20..b21304db7 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 099ddc88d..9146d2cb4 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 c1aacb772..30ca5521c 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 e267aaaa2..2dc5a96a5 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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diff --git a/site/news/spark-1-2-2-released.html b/site/news/spark-1-2-2-released.html index 87e38b9f0..4c9397f73 100644 --- a/site/news/spark-1-2-2-released.html +++ b/site/news/spark-1-2-2-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 567cb4c71..e750927ae 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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diff --git a/site/news/spark-1-4-0-released.html b/site/news/spark-1-4-0-released.html index e63cbd1ee..ad2f3f618 100644 --- a/site/news/spark-1-4-0-released.html +++ b/site/news/spark-1-4-0-released.html @@ -150,6 +150,9 @@
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diff --git a/site/news/spark-1-4-1-released.html b/site/news/spark-1-4-1-released.html index 4f8f7ca9c..4b9a7ab80 100644 --- a/site/news/spark-1-4-1-released.html +++ b/site/news/spark-1-4-1-released.html @@ -150,6 +150,9 @@
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diff --git a/site/news/spark-1-5-0-released.html b/site/news/spark-1-5-0-released.html index e53cd15e4..19a616539 100644 --- a/site/news/spark-1-5-0-released.html +++ b/site/news/spark-1-5-0-released.html @@ -150,6 +150,9 @@
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diff --git a/site/news/spark-1-5-1-released.html b/site/news/spark-1-5-1-released.html index a0340e740..f032ca639 100644 --- a/site/news/spark-1-5-1-released.html +++ b/site/news/spark-1-5-1-released.html @@ -150,6 +150,9 @@
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diff --git a/site/news/spark-1-5-2-released.html b/site/news/spark-1-5-2-released.html index b6e2c6059..4e5ab133b 100644 --- a/site/news/spark-1-5-2-released.html +++ b/site/news/spark-1-5-2-released.html @@ -150,6 +150,9 @@
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diff --git a/site/news/spark-1-6-0-released.html b/site/news/spark-1-6-0-released.html index 3d21d6143..b2e61877a 100644 --- a/site/news/spark-1-6-0-released.html +++ b/site/news/spark-1-6-0-released.html @@ -150,6 +150,9 @@
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diff --git a/site/news/spark-1-6-1-released.html b/site/news/spark-1-6-1-released.html index 7f87fa065..227b6f0cd 100644 --- a/site/news/spark-1-6-1-released.html +++ b/site/news/spark-1-6-1-released.html @@ -150,6 +150,9 @@
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diff --git a/site/news/spark-1-6-2-released.html b/site/news/spark-1-6-2-released.html index 7657a2ea0..eb9875e5d 100644 --- a/site/news/spark-1-6-2-released.html +++ b/site/news/spark-1-6-2-released.html @@ -150,6 +150,9 @@
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diff --git a/site/news/spark-1-6-3-released.html b/site/news/spark-1-6-3-released.html new file mode 100644 index 000000000..77ed92925 --- /dev/null +++ b/site/news/spark-1-6-3-released.html @@ -0,0 +1,213 @@ + + + + + + + + + Spark 1.6.3 released | Apache Spark + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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+ +

+ + + Lightning-fast cluster computing + +

+ +
+ + + + +
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+ +

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+ +
+ +
+

Spark 1.6.3 released

+ + +

We are happy to announce the availability of Spark 1.6.3! This maintenance release includes fixes across several areas of Spark.

+ +

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

+ + +

+
+Spark News Archive +

+ +
+
+ + + + + +
+ + + diff --git a/site/news/spark-2-0-0-released.html b/site/news/spark-2-0-0-released.html index dd2f3e870..070d5ac0f 100644 --- a/site/news/spark-2-0-0-released.html +++ b/site/news/spark-2-0-0-released.html @@ -150,6 +150,9 @@
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diff --git a/site/news/spark-2-0-1-released.html b/site/news/spark-2-0-1-released.html index 8ee951fc3..f772398c8 100644 --- a/site/news/spark-2-0-1-released.html +++ b/site/news/spark-2-0-1-released.html @@ -150,6 +150,9 @@
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diff --git a/site/news/spark-2.0.0-preview.html b/site/news/spark-2.0.0-preview.html index 87d446adf..7e7f1a810 100644 --- a/site/news/spark-2.0.0-preview.html +++ b/site/news/spark-2.0.0-preview.html @@ -150,6 +150,9 @@
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diff --git a/site/news/spark-accepted-into-apache-incubator.html b/site/news/spark-accepted-into-apache-incubator.html index bb6ed2e2d..e6330cffd 100644 --- a/site/news/spark-accepted-into-apache-incubator.html +++ b/site/news/spark-accepted-into-apache-incubator.html @@ -150,6 +150,9 @@
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diff --git a/site/news/spark-and-shark-in-the-news.html b/site/news/spark-and-shark-in-the-news.html index 16375a5eb..d48af1838 100644 --- a/site/news/spark-and-shark-in-the-news.html +++ b/site/news/spark-and-shark-in-the-news.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 f8c5c006d..a33f04572 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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    @@ -210,13 +210,13 @@

    Spark’s internal job scheduler has been refactored and extended to include more sophisticated scheduling policies. In particular, a fair scheduler implementation now allows multiple users to share an instance of Spark, which helps users running shorter jobs to achieve good performance, even when longer-running jobs are running in parallel. Support for topology-aware scheduling has been extended, including the ability to take into account rack locality and support for multiple executors on a single machine.

    Easier Deployment and Linking

    -

    User programs can now link to Spark no matter which Hadoop version they need, without having to publish a version of spark-core specifically for that Hadoop version. An explanation of how to link against different Hadoop versions is provided here.

    +

    User programs can now link to Spark no matter which Hadoop version they need, without having to publish a version of spark-core specifically for that Hadoop version. An explanation of how to link against different Hadoop versions is provided here.

    Expanded EC2 Capabilities

    Spark’s EC2 scripts now support launching in any availability zone. Support has also been added for EC2 instance types which use the newer “HVM” architecture. This includes the cluster compute (cc1/cc2) family of instance types. We’ve also added support for running newer versions of HDFS alongside Spark. Finally, we’ve added the ability to launch clusters with maintenance releases of Spark in addition to launching the newest release.

    Improved Documentation

    -

    This release adds documentation about cluster hardware provisioning and inter-operation with common Hadoop distributions. Docs are also included to cover the MLlib machine learning functions and new cluster monitoring features. Existing documentation has been updated to reflect changes in building and deploying Spark.

    +

    This release adds documentation about cluster hardware provisioning and inter-operation with common Hadoop distributions. Docs are also included to cover the MLlib machine learning functions and new cluster monitoring features. Existing documentation has been updated to reflect changes in building and deploying Spark.

    Other Improvements

    Improvements to other deployment scenarios

    @@ -230,19 +230,19 @@

    Optimizations to MLLib

    Bug fixes and better API parity for PySpark

    @@ -274,13 +274,13 @@
  • Kay Ousterhout - Multiple bug fixes in scheduler’s handling of task failures
  • Kousuke Saruta - Use of https to access github
  • Mark Grover - Bug fix in distribution tar.gz
    • -
  • Matei Zaharia - Bug fixes in handling of task failures due to NPE, and cleaning up of scheduler data structures
    • +
  • Matei Zaharia - Bug fixes in handling of task failures due to NPE, and cleaning up of scheduler data structures
  • Nan Zhu - Bug fixes in PySpark RDD.takeSample and adding of JARs using ADD_JAR - and improvements to docs
  • Nick Lanham - Added ability to make distribution tarballs with Tachyon
  • Patrick Wendell - Bug fixes in ASM shading, fixes for log4j initialization, removing Ganglia due to LGPL license, and other miscallenous bug fixes
  • Prabin Banka - RDD.zip and other missing RDD operations in PySpark
  • Prashant Sharma - RDD.foldByKey in PySpark, and other PySpark doc improvements
    • -
  • Qiuzhuang - Bug fix in standalone worker
    • +
  • Qiuzhuang - Bug fix in standalone worker
  • Raymond Liu - Changed working directory in ZookeeperPersistenceEngine
  • Reynold Xin - Improvements to docs and test infrastructure
  • Sandy Ryza - Multiple important Yarn bug fixes and improvements
    • diff --git a/site/releases/spark-release-0-9-2.html b/site/releases/spark-release-0-9-2.html index 31cfa8176..25d24f516 100644 --- a/site/releases/spark-release-0-9-2.html +++ b/site/releases/spark-release-0-9-2.html @@ -150,6 +150,9 @@
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    diff --git a/site/releases/spark-release-1-0-0.html b/site/releases/spark-release-1-0-0.html index e23b2439a..985f3d65a 100644 --- a/site/releases/spark-release-1-0-0.html +++ b/site/releases/spark-release-1-0-0.html @@ -150,6 +150,9 @@
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    @@ -258,8 +258,8 @@
  • Cheng Hao – SQL features
  • Cheng Lian – SQL features
  • Christian Tzolov – build improvmenet
    • -
  • Clément MATHIEU – doc updates
    • -
  • CodingCat – doc updates and bug fix
    • +
  • Clément MATHIEU – doc updates
    • +
  • CodingCat – doc updates and bug fix
  • Colin McCabe – bug fix
  • Daoyuan – SQL joins
  • David Lemieux – bug fix
    • @@ -275,7 +275,7 @@
  • Kan Zhang – PySpark SQL features
  • Kay Ousterhout – documentation fix
  • LY Lai – bug fix
    • -
  • Lars Albertsson – bug fix
    • +
  • Lars Albertsson – bug fix
  • Lei Zhang – SQL fix and feature
  • Mark Hamstra – bug fix
  • Matei Zaharia – doc updates and bug fix
    • @@ -297,7 +297,7 @@
  • Shixiong Zhu – code clean-up
  • Szul, Piotr – bug fix
  • Takuya UESHIN – bug fixes and SQL features
    • -
  • Thomas Graves – bug fix
    • +
  • Thomas Graves – bug fix
  • Uri Laserson – bug fix
  • Vadim Chekan – bug fix
  • Varakhedi Sujeet – ec2 r3 support
    • diff --git a/site/releases/spark-release-1-0-2.html b/site/releases/spark-release-1-0-2.html index a87b5de1b..45f83f00c 100644 --- a/site/releases/spark-release-1-0-2.html +++ b/site/releases/spark-release-1-0-2.html @@ -150,6 +150,9 @@
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  • johnnywalleye - Bug fixes in MLlib
  • joyyoj - Bug fix in Streaming
  • kballou - Doc fix
    • -
  • lianhuiwang - Doc fix
    • +
  • lianhuiwang - Doc fix
  • witgo - Bug fix in sbt
    • diff --git a/site/releases/spark-release-1-1-0.html b/site/releases/spark-release-1-1-0.html index 4a7588e64..826683348 100644 --- a/site/releases/spark-release-1-1-0.html +++ b/site/releases/spark-release-1-1-0.html @@ -150,6 +150,9 @@
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    @@ -197,7 +197,7 @@

    Spark SQL adds a number of new features and performance improvements in this release. A JDBC/ODBC server allows users to connect to SparkSQL from many different applications and provides shared access to cached tables. A new module provides support for loading JSON data directly into Spark’s SchemaRDD format, including automatic schema inference. Spark SQL introduces dynamic bytecode generation in this release, a technique which significantly speeds up execution for queries that perform complex expression evaluation. This release also adds support for registering Python, Scala, and Java lambda functions as UDFs, which can then be called directly in SQL. Spark 1.1 adds a public types API to allow users to create SchemaRDD’s from custom data sources. Finally, many optimizations have been added to the native Parquet support as well as throughout the engine.

    MLlib

    -

    MLlib adds several new algorithms and optimizations in this release. 1.1 introduces a new library of statistical packages which provides exploratory analytic functions. These include stratified sampling, correlations, chi-squared tests and support for creating random datasets. This release adds utilities for feature extraction (Word2Vec and TF-IDF) and feature transformation (normalization and standard scaling). Also new are support for nonnegative matrix factorization and SVD via Lanczos. The decision tree algorithm has been added in Python and Java. A tree aggregation primitive has been added to help optimize many existing algorithms. Performance improves across the board in MLlib 1.1, with improvements of around 2-3X for many algorithms and up to 5X for large scale decision tree problems.

    +

    MLlib adds several new algorithms and optimizations in this release. 1.1 introduces a new library of statistical packages which provides exploratory analytic functions. These include stratified sampling, correlations, chi-squared tests and support for creating random datasets. This release adds utilities for feature extraction (Word2Vec and TF-IDF) and feature transformation (normalization and standard scaling). Also new are support for nonnegative matrix factorization and SVD via Lanczos. The decision tree algorithm has been added in Python and Java. A tree aggregation primitive has been added to help optimize many existing algorithms. Performance improves across the board in MLlib 1.1, with improvements of around 2-3X for many algorithms and up to 5X for large scale decision tree problems.

    GraphX and Spark Streaming

    Spark streaming adds a new data source Amazon Kinesis. For the Apache Flume, a new mode is supported which pulls data from Flume, simplifying deployment and providing high availability. The first of a set of streaming machine learning algorithms is introduced with streaming linear regression. Finally, rate limiting has been added for streaming inputs. GraphX adds custom storage levels for vertices and edges along with improved numerical precision across the board. Finally, GraphX adds a new label propagation algorithm.

    @@ -215,7 +215,7 @@ @@ -275,7 +275,7 @@
  • Daneil Darabos – bug fixes and UI enhancements
  • Daoyuan Wang – SQL fixes
  • David Lemieux – bug fix
    • -
  • Davies Liu – PySpark fixes and spilling
    • +
  • Davies Liu – PySpark fixes and spilling
  • DB Tsai – online summaries in MLlib and other MLlib features
  • Derek Ma – bug fix
  • Doris Xin – MLlib stats library and several fixes
    • diff --git a/site/releases/spark-release-1-1-1.html b/site/releases/spark-release-1-1-1.html index e01de3eb2..fcf0c91fa 100644 --- a/site/releases/spark-release-1-1-1.html +++ b/site/releases/spark-release-1-1-1.html @@ -150,6 +150,9 @@
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    diff --git a/site/releases/spark-release-1-2-0.html b/site/releases/spark-release-1-2-0.html index 0afe0ca3e..0490be7bd 100644 --- a/site/releases/spark-release-1-2-0.html +++ b/site/releases/spark-release-1-2-0.html @@ -150,6 +150,9 @@
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    @@ -194,7 +194,7 @@

    In 1.2 Spark core upgrades two major subsystems to improve the performance and stability of very large scale shuffles. The first is Spark’s communication manager used during bulk transfers, which upgrades to a netty-based implementation. The second is Spark’s shuffle mechanism, which upgrades to the “sort based” shuffle initially released in Spark 1.1. These both improve the performance and stability of very large scale shuffles. Spark also adds an elastic scaling mechanism designed to improve cluster utilization during long running ETL-style jobs. This is currently supported on YARN and will make its way to other cluster managers in future versions. Finally, Spark 1.2 adds support for Scala 2.11. For instructions on building for Scala 2.11 see the build documentation.

    Spark Streaming

    -

    This release includes two major feature additions to Spark’s streaming library, a Python API and a write ahead log for full driver H/A. The Python API covers almost all the DStream transformations and output operations. Input sources based on text files and text over sockets are currently supported. Support for Kafka and Flume input streams in Python will be added in the next release. Second, Spark streaming now features H/A driver support through a write ahead log (WAL). In Spark 1.1 and earlier, some buffered (received but not yet processed) data can be lost during driver restarts. To prevent this Spark 1.2 adds an optional WAL, which buffers received data into a fault-tolerant file system (e.g. HDFS). See the streaming programming guide for more details.

    +

    This release includes two major feature additions to Spark’s streaming library, a Python API and a write ahead log for full driver H/A. The Python API covers almost all the DStream transformations and output operations. Input sources based on text files and text over sockets are currently supported. Support for Kafka and Flume input streams in Python will be added in the next release. Second, Spark streaming now features H/A driver support through a write ahead log (WAL). In Spark 1.1 and earlier, some buffered (received but not yet processed) data can be lost during driver restarts. To prevent this Spark 1.2 adds an optional WAL, which buffers received data into a fault-tolerant file system (e.g. HDFS). See the streaming programming guide for more details.

    MLLib

    Spark 1.2 previews a new set of machine learning API’s in a package called spark.ml that supports learning pipelines, where multiple algorithms are run in sequence with varying parameters. This type of pipeline is common in practical machine learning deployments. The new ML package uses Spark’s SchemaRDD to represent ML datasets, providing direct interoperability with Spark SQL. In addition to the new API, Spark 1.2 extends decision trees with two tree ensemble methods: random forests and gradient-boosted trees, among the most successful tree-based models for classification and regression. Finally, MLlib’s Python implementation receives a major update in 1.2 to simplify the process of adding Python APIs, along with better Python API coverage.

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    diff --git a/site/releases/spark-release-1-2-2.html b/site/releases/spark-release-1-2-2.html index c8a859a56..d76c619dc 100644 --- a/site/releases/spark-release-1-2-2.html +++ b/site/releases/spark-release-1-2-2.html @@ -150,6 +150,9 @@
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    diff --git a/site/releases/spark-release-1-3-0.html b/site/releases/spark-release-1-3-0.html index 382ef4d06..435ed197a 100644 --- a/site/releases/spark-release-1-3-0.html +++ b/site/releases/spark-release-1-3-0.html @@ -150,6 +150,9 @@
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    @@ -191,7 +191,7 @@

    To download Spark 1.3 visit the downloads page.

    Spark Core

    -

    Spark 1.3 sees a handful of usability improvements in the core engine. The core API now supports multi level aggregation trees to help speed up expensive reduce operations. Improved error reporting has been added for certain gotcha operations. Spark’s Jetty dependency is now shaded to help avoid conflicts with user programs. Spark now supports SSL encryption for some communication endpoints. Finaly, realtime GC metrics and record counts have been added to the UI.

    +

    Spark 1.3 sees a handful of usability improvements in the core engine. The core API now supports multi level aggregation trees to help speed up expensive reduce operations. Improved error reporting has been added for certain gotcha operations. Spark’s Jetty dependency is now shaded to help avoid conflicts with user programs. Spark now supports SSL encryption for some communication endpoints. Finaly, realtime GC metrics and record counts have been added to the UI.

    DataFrame API

    Spark 1.3 adds a new DataFrames API that provides powerful and convenient operators when working with structured datasets. The DataFrame is an evolution of the base RDD API that includes named fields along with schema information. It’s easy to construct a DataFrame from sources such as Hive tables, JSON data, a JDBC database, or any implementation of Spark’s new data source API. Data frames will become a common interchange format between Spark components and when importing and exporting data to other systems. Data frames are supported in Python, Scala, and Java.

    @@ -203,7 +203,7 @@

    In this release Spark MLlib introduces several new algorithms: latent Dirichlet allocation (LDA) for topic modeling, multinomial logistic regression for multiclass classification, Gaussian mixture model (GMM) and power iteration clustering for clustering, FP-growth for frequent pattern mining, and block matrix abstraction for distributed linear algebra. Initial support has been added for model import/export in exchangeable format, which will be expanded in future versions to cover more model types in Java/Python/Scala. The implementations of k-means and ALS receive updates that lead to significant performance gain. PySpark now supports the ML pipeline API added in Spark 1.2, and gradient boosted trees and Gaussian mixture model. Finally, the ML pipeline API has been ported to support the new DataFrames abstraction.

    Spark Streaming

    -

    Spark 1.3 introduces a new direct Kafka API (docs) which enables exactly-once delivery without the use of write ahead logs. It also adds a Python Kafka API along with infrastructure for additional Python API’s in future releases. An online version of logistic regression and the ability to read binary records have also been added. For stateful operations, support has been added for loading of an initial state RDD. Finally, the streaming programming guide has been updated to include information about SQL and DataFrame operations within streaming applications, and important clarifications to the fault-tolerance semantics.

    +

    Spark 1.3 introduces a new direct Kafka API (docs) which enables exactly-once delivery without the use of write ahead logs. It also adds a Python Kafka API along with infrastructure for additional Python API’s in future releases. An online version of logistic regression and the ability to read binary records have also been added. For stateful operations, support has been added for loading of an initial state RDD. Finally, the streaming programming guide has been updated to include information about SQL and DataFrame operations within streaming applications, and important clarifications to the fault-tolerance semantics.

    GraphX

    GraphX adds a handful of utility functions in this release, including conversion into a canonical edge graph.

    @@ -219,7 +219,7 @@ diff --git a/site/releases/spark-release-1-3-1.html b/site/releases/spark-release-1-3-1.html index 698539342..e246873d3 100644 --- a/site/releases/spark-release-1-3-1.html +++ b/site/releases/spark-release-1-3-1.html @@ -150,6 +150,9 @@
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    @@ -196,10 +196,10 @@

    Spark SQL

    Spark Streaming

    diff --git a/site/releases/spark-release-1-4-0.html b/site/releases/spark-release-1-4-0.html index fc02b6fbe..f76cf9f25 100644 --- a/site/releases/spark-release-1-4-0.html +++ b/site/releases/spark-release-1-4-0.html @@ -150,6 +150,9 @@
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    @@ -250,7 +250,7 @@ Python coverage. MLlib also adds several new algorithms.

    Spark Streaming

    -

    Spark streaming adds visual instrumentation graphs and significantly improved debugging information in the UI. It also enhances support for both Kafka and Kinesis.

    +

    Spark streaming adds visual instrumentation graphs and significantly improved debugging information in the UI. It also enhances support for both Kafka and Kinesis.