[ 
https://issues.apache.org/jira/browse/ARROW-1939?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16298994#comment-16298994
 ] 

ASF GitHub Bot commented on ARROW-1939:
---------------------------------------

siddharthteotia closed pull request #1436: ARROW-1939: Correct links in release 
blog post
URL: https://github.com/apache/arrow/pull/1436
 
 
   

This is a PR merged from a forked repository.
As GitHub hides the original diff on merge, it is displayed below for
the sake of provenance:

As this is a foreign pull request (from a fork), the diff is supplied
below (as it won't show otherwise due to GitHub magic):

diff --git a/site/_posts/2017-12-19-0.8.0-release.md 
b/site/_posts/2017-12-19-0.8.0-release.md
index c65d30832..8c1f464ed 100644
--- a/site/_posts/2017-12-19-0.8.0-release.md
+++ b/site/_posts/2017-12-19-0.8.0-release.md
@@ -44,7 +44,7 @@ post.
 ## Projects "Powered By" Apache Arrow
 
 A growing ecosystem of projects are using Arrow to solve in-memory analytics
-and data interchange problems. We have added a new [Powered By][18] page to the
+and data interchange problems. We have added a new [Powered By][19] page to the
 Arrow website where we can acknowledge open source projects and companies which
 are using Arrow. If you would like to add your project to the list as an Arrow
 user, please let us know.
@@ -53,11 +53,11 @@ user, please let us know.
 
 Since the last release, we have added 5 new Apache committers:
 
-* [Phillip Cloud][5], who has mainly contributed to C++ and Python
-* [Bryan Cutler][13], who has mainly contributed to Java and Spark integration
-* [Li Jin][14], who has mainly contributed to Java and Spark integration
-* [Paul Taylor][4], who has mainly contributed to JavaScript
-* [Siddharth Teotia][15], who has mainly contributed to Java
+* [Phillip Cloud][6], who has mainly contributed to C++ and Python
+* [Bryan Cutler][14], who has mainly contributed to Java and Spark integration
+* [Li Jin][15], who has mainly contributed to Java and Spark integration
+* [Paul Taylor][5], who has mainly contributed to JavaScript
+* [Siddharth Teotia][16], who has mainly contributed to Java
 
 Welcome to the Arrow team, and thank you for your contributions!
 
@@ -67,11 +67,11 @@ Siddharth Teotia led efforts to revamp the Java vector API 
to make things
 simpler and faster. As part of this, we removed the dichotomy between nullable
 and non-nullable vectors.
 
-See [Sidd's blog post][10] for more about these changes.
+See [Sidd's blog post][11] for more about these changes.
 
 ## Decimal support in C++, Python, consistency with Java
 
-[Phillip Cloud][5] led efforts this release to harden details about exact
+[Phillip Cloud][6] led efforts this release to harden details about exact
 decimal values in the Arrow specification and ensure a consistent
 implementation across Java, C++, and Python.
 
@@ -85,7 +85,7 @@ will facilitate Arrow adoption in Apache Spark and other 
systems that use both
 Java and Python.
 
 Decimal data can now be read and written by the [Apache Parquet C++
-library][6], including via pyarrow.
+library][7], including via pyarrow.
 
 In the future, we may implement support for smaller-precision decimals
 represented by 32- or 64-bit integers.
@@ -94,7 +94,7 @@ represented by 32- or 64-bit integers.
 
 In C++, we have continued developing the new `arrow::compute` submodule
 consisting of native computation fuctions for Arrow data. New contributor
-[Licht Takeuchi][7] helped expand the supported types for type casting in
+[Licht Takeuchi][8] helped expand the supported types for type casting in
 `compute::Cast`. We have also implemented new kernels `Unique` and
 `DictionaryEncode` for computing the distinct elements of an array and
 dictionary encoding (conversion to categorical), respectively.
@@ -115,20 +115,20 @@ work happening in Python and C. See the change log for 
full details.
 
 Developing of the GLib-based C bindings has generally tracked work happening in
 the C++ library. These bindings are being used to develop [data science tools
-for Ruby users][8] and elsewhere.
+for Ruby users][9] and elsewhere.
 
-The C bindings now support the [Meson build system][9] in addition to
+The C bindings now support the [Meson build system][10] in addition to
 autotools, which enables them to be built on Windows.
 
 The Arrow GPU extension library is now also supported in the C bindings.
 
 ## JavaScript: first independent release on NPM
 
-[Brian Hulette][11] and [Paul Taylor][4] have been continuing to drive efforts
+[Brian Hulette][12] and [Paul Taylor][5] have been continuing to drive efforts
 on the TypeScript-based JavaScript implementation.
 
 Since the last release, we made a first JavaScript-only Apache release, version
-0.2.0, which is [now available on NPM][12]. We decided to make separate
+0.2.0, which is [now available on NPM][13]. We decided to make separate
 JavaScript releases to enable the JS library to release more frequently than
 the rest of the project.
 
@@ -141,7 +141,7 @@ library.
 
 Some of these improvements include:
 
-* [Component-based serialization][16] for more flexible and memory-efficient
+* [Component-based serialization][17] for more flexible and memory-efficient
   transport of large or complex Python objects
 * Substantially improved serialization performance for pandas objects when
   using `pyarrow.serialize` and `pyarrow.deserialize`. This includes a special
@@ -154,7 +154,7 @@ Some of these improvements include:
 * More efficient conversion from 1-dimensional NumPy arrays to Arrow format
 * New generic buffer compression and decompression APIs `pyarrow.compress` and
   `pyarrow.decompress`
-* Enhanced Parquet cross-compatibility with [fastparquet][17] and improved Dask
+* Enhanced Parquet cross-compatibility with [fastparquet][18] and improved Dask
   support
 * Python support for accessing Parquet row group column statistics
 
@@ -173,20 +173,20 @@ implementations and bindings to more languages.
 
 [1]: 
https://issues.apache.org/jira/issues/?jql=project%20%3D%20ARROW%20AND%20status%20in%20(Resolved%2C%20Closed)%20AND%20fixVersion%20%3D%200.8.0
 [2]: https://arrow.apache.org/install
-[3]: https://arrow.apache.org/release/0.7.0.html
-[3]: https://github.com/kou
-[4]: https://github.com/trxcllnt
-[5]: https://github.com/cpcloud
-[6]: https://github.com/apache/parquet-cpp
-[7]: https://github.com/licht-t
-[8]: https://github.com/red-data-tools
-[9]: https://mesonbuild.com
-[10]: https://arrow.apache.org/blog/2017/12/19/java-vector-improvements/
-[11]: https://github.com/TheNeuralBit
-[12]: http://npmjs.org/package/apache-arrow
-[13]: https://github.com/BryanCutler
-[14]: https://github.com/icexelloss
-[15]: https://github.com/siddharthteotia
-[16]: http://arrow.apache.org/docs/python/ipc.html
-[17]: https://github.com/dask/fastparquet
-[18]: http://arrow.apache.org/powered_by/
+[3]: https://arrow.apache.org/release/0.8.0.html
+[4]: https://github.com/kou
+[5]: https://github.com/trxcllnt
+[6]: https://github.com/cpcloud
+[7]: https://github.com/apache/parquet-cpp
+[8]: https://github.com/licht-t
+[9]: https://github.com/red-data-tools
+[10]: https://mesonbuild.com
+[11]: https://arrow.apache.org/blog/2017/12/19/java-vector-improvements/
+[12]: https://github.com/TheNeuralBit
+[13]: http://npmjs.org/package/apache-arrow
+[14]: https://github.com/BryanCutler
+[15]: https://github.com/icexelloss
+[16]: https://github.com/siddharthteotia
+[17]: http://arrow.apache.org/docs/python/ipc.html
+[18]: https://github.com/dask/fastparquet
+[19]: http://arrow.apache.org/powered_by/


 

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> Correct links in release 0.8 blog post
> --------------------------------------
>
>                 Key: ARROW-1939
>                 URL: https://issues.apache.org/jira/browse/ARROW-1939
>             Project: Apache Arrow
>          Issue Type: Bug
>            Reporter: Siddharth Teotia
>            Assignee: Siddharth Teotia
>              Labels: pull-request-available
>
> link to changelog is wrong.



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