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new 55ea2a7 ORC-1071: Update adopters page (#985)
55ea2a7 is described below
commit 55ea2a7f1312e81f8d0934a5b52763f92c4c2d41
Author: William Hyun <[email protected]>
AuthorDate: Thu Dec 30 18:26:05 2021 -0800
ORC-1071: Update adopters page (#985)
### What changes were proposed in this pull request?
This PR aims to update the [adopters
page](https://orc.apache.org/docs/adopters.html).
### Why are the changes needed?
To make it up-to-date.
### How was this patch tested?
Manually review.
(cherry picked from commit 664fb8a6247a5f4550c9117b6ddf7b3a3352eb86)
Signed-off-by: Dongjoon Hyun <[email protected]>
---
site/_docs/adopters.md | 48 +++++++++++++++++++++++++++++++++++++++++-------
1 file changed, 41 insertions(+), 7 deletions(-)
diff --git a/site/_docs/adopters.md b/site/_docs/adopters.md
index d34a8eb..9b90b2c 100644
--- a/site/_docs/adopters.md
+++ b/site/_docs/adopters.md
@@ -14,6 +14,33 @@ but with the ORC 1.1.0 release it is now easier than ever
without pulling in
Hive's exec jar and all of its dependencies. OrcStruct now also implements
WritableComparable and can be serialized through the MapReduce shuffle.
+### [Apache Spark](https://spark.apache.org/)
+
+Apache Spark has [added
+support](https://databricks.com/blog/2015/07/16/joint-blog-post-bringing-orc-support-into-apache-spark.html)
+for reading and writing ORC files with support for column project and
+predicate push down.
+
+### [Apache Arrow](https://arrow.apache.org/)
+
+Apache Arrow supports reading and writing [ORC file
format](https://arrow.apache.org/docs/index.html?highlight=orc#apache-arrow).
+
+### [Apache Flink](https://flink.apache.org/)
+
+Apache Flink supports
+[ORC format in Table
API](https://nightlies.apache.org/flink/flink-docs-release-1.14/docs/connectors/table/formats/orc/)
+for reading and writing ORC files.
+
+### [Apache Iceberg](https://iceberg.apache.org/)
+
+Apache Iceberg supports [ORC spec](https://iceberg.apache.org/#spec/#orc) to
use ORC tables.
+
+### [Apache Druid](https://druid.apache.org/)
+
+Apache Druid supports
+[ORC
extension](https://druid.apache.org/docs/0.22.1/development/extensions-core/orc.html#orc-extension)
+to ingest and understand the Apache ORC data format.
+
### [Apache Hive](https://hive.apache.org/)
Apache Hive was the original use case and home for ORC. ORC's strong
@@ -22,6 +49,12 @@ down, and vectorization support make Hive [perform
better](https://hortonworks.com/blog/orcfile-in-hdp-2-better-compression-better-performance/)
than any other format for your data.
+### [Apache Gobblin](https://gobblin.apache.org/)
+
+Apache Gobblin supports
+[writing data to ORC
files](https://gobblin.apache.org/docs/case-studies/Writing-ORC-Data/)
+by leveraging Apache Hive's SerDe library.
+
### [Apache Nifi](https://nifi.apache.org/)
Apache Nifi is [adding
@@ -33,13 +66,6 @@ ORC files.
Apache Pig added support for reading and writing ORC files in [Pig
14.0](https://hortonworks.com/blog/announcing-apache-pig-0-14-0/).
-### [Apache Spark](https://spark.apache.org/)
-
-Apache Spark has [added
-support](https://databricks.com/blog/2015/07/16/joint-blog-post-bringing-orc-support-into-apache-spark.html)
-for reading and writing ORC files with support for column project and
-predicate push down.
-
### [EEL](https://github.com/51zero/eel-sdk)
EEL is a Scala BigData API that supports reading and writing data for
@@ -58,6 +84,14 @@ or directly into Hive tables backed by an ORC file format.
With more than 300 PB of data, Facebook was an [early adopter of
ORC](https://code.facebook.com/posts/229861827208629/scaling-the-facebook-data-warehouse-to-300-pb/)
and quickly put it into production.
+### [LinkedIn](https://linkedin.com)
+
+LinkedIn uses
+[the ORC file
format](https://engineering.linkedin.com/blog/2021/fastingest-low-latency-gobblin)
+with Apache Iceberg metadata catalog and Apache Gobblin to provide our data
customers with high-query performance.
+
+https://engineering.linkedin.com/blog/2021/fastingest-low-latency-gobblin
+
### [Trino (formerly Presto SQL)](https://trino.io/)
The Trino team has done a lot of work [integrating
