carp84 commented on code in PR #562:
URL: https://github.com/apache/flink-web/pull/562#discussion_r952207710


##########
_posts/2022-08-08-release-table-store-0.2.0.md:
##########
@@ -0,0 +1,138 @@
+---
+layout: post
+title:  "Apache Flink Table Store 0.2.0 Release Announcement"
+subtitle: "For building dynamic tables for both stream and batch processing in 
Flink, supporting high speed data ingestion and real-time data query."
+date: 2022-08-08T08:00:00.000Z
+categories: news
+authors:
+- JingsongLi:
+  name: "Jingsong Lee"
+---
+
+<!-- improve style of tables -->
+<style>
+  table { border: 0px solid black; table-layout: auto; width: 800px; }
+  th, td { border: 1px solid black; padding: 5px; padding-left: 10px; 
padding-right: 10px; }
+  th { text-align: center }
+  td { vertical-align: top }
+</style>
+
+The Apache Flink community is pleased to announce the release of the
+[Apache Flink Table Store](https://github.com/apache/flink-table-store) 
(0.2.0).
+
+Please check out the full 
[documentation]({{site.DOCS_BASE_URL}}flink-table-store-docs-release-0.2/) for 
detailed information and user guides.
+
+<br/>
+
+## What is Flink Table Store
+
+Flink Table Store is a data lake storage for streaming updates/deletes 
changelog ingestion and high-performance queries in real time.
+
+<center>
+<img src="{{site.baseurl}}/img/blog/table-store/table-store-0.2.png" 
width="100%"/>
+</center>
+
+As a new type of updatable data lake, Flink Table Store has the following 
features:
+
+* Large throughput data ingestion while offering good query performance.
+* High performance query with primary key filters, as fast as 100ms.
+* Streaming reads are available on Lake Storage, lake storage can also be 
integrated
+with Kafka to provide second-level streaming reads.
+
+<br/>
+
+## Notable Features
+
+In this release, we have accomplished many exciting features.
+
+### Catalog
+
+This release introduces Table Store's own catalog and supports automatic 
synchronization to the Hive Metastore.
+
+```sql
+CREATE CATALOG tablestore WITH (
+  'type'='table-store',
+  'warehouse'='hdfs://nn:8020/warehouse/path',
+  -- optional hive metastore
+  'metastore'='hive',
+  'uri'='thrift://<hive-metastore-host-name>:<port>'
+);
+
+USE CATALOG tablestore;
+
+CREATE TABLE my_table ...
+```
+
+### Ecosystem
+
+In this release, we provide support for Flink 1.14 and provide read support 
for multiple compute engines.
+
+ Engine    | Version  | Feature     |    Read Pushdown   |
+---------- | -------- | ----------- | ------------------ |
+ Flink     | 1.14     | read, write | Projection, Filter |
+ Flink     | 1.15     | read, write | Projection, Filter |
+ Hive      | 2.3      | read        | Projection, Filter |
+ Spark     | 2.4      | read        | Projection, Filter |
+ Spark     | 3.0      | read        | Projection, Filter |
+ Spark     | 3.1      | read        | Projection, Filter |
+ Spark     | 3.2      | read        | Projection, Filter |
+ Spark     | 3.3      | read        | Projection, Filter |
+ Trino     | 358      | read        | Projection, Filter |
+ Trino     | 388      | read        | Projection, Filter |
+
+<br/>
+
+### Append-only
+
+Append-only tables are a performance feature that only accepts INSERT_ONLY 
data to append to the storage

Review Comment:
   ```suggestion
   The append-only table feature is a performance improvement and only accepts 
INSERT_ONLY data to append to the storage
   ```



##########
_posts/2022-08-08-release-table-store-0.2.0.md:
##########
@@ -0,0 +1,138 @@
+---
+layout: post
+title:  "Apache Flink Table Store 0.2.0 Release Announcement"
+subtitle: "For building dynamic tables for both stream and batch processing in 
Flink, supporting high speed data ingestion and real-time data query."
+date: 2022-08-08T08:00:00.000Z
+categories: news
+authors:
+- JingsongLi:
+  name: "Jingsong Lee"
+---
+
+<!-- improve style of tables -->
+<style>
+  table { border: 0px solid black; table-layout: auto; width: 800px; }
+  th, td { border: 1px solid black; padding: 5px; padding-left: 10px; 
padding-right: 10px; }
+  th { text-align: center }
+  td { vertical-align: top }
+</style>
+
+The Apache Flink community is pleased to announce the release of the
+[Apache Flink Table Store](https://github.com/apache/flink-table-store) 
(0.2.0).
+
+Please check out the full 
[documentation]({{site.DOCS_BASE_URL}}flink-table-store-docs-release-0.2/) for 
detailed information and user guides.
+
+<br/>
+
+## What is Flink Table Store
+
+Flink Table Store is a data lake storage for streaming updates/deletes 
changelog ingestion and high-performance queries in real time.

Review Comment:
   It seems the description in this blog post is different from the readme file 
of the [master 
branch](https://github.com/apache/flink-table-store/blob/master/README.md) and 
to-be-released source package, and suggest keeping them in sync.



##########
_config.yml:
##########
@@ -720,9 +736,9 @@ release_archive:
         release_date: 2022-04-02
 
     flink_table_store:
-      - version_short: 0.1
-        version_long: 0.1.0
-        release_date: 2022-05-11
+      - version_short: 0.2
+        version_long: 0.2.0
+        release_date: 2022-08-08

Review Comment:
   Minor: please remember to update the date accordingly



##########
_posts/2022-08-08-release-table-store-0.2.0.md:
##########
@@ -0,0 +1,138 @@
+---
+layout: post
+title:  "Apache Flink Table Store 0.2.0 Release Announcement"
+subtitle: "For building dynamic tables for both stream and batch processing in 
Flink, supporting high speed data ingestion and real-time data query."
+date: 2022-08-08T08:00:00.000Z

Review Comment:
   Minor: please remember to update the date accordingly



-- 
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.

To unsubscribe, e-mail: [email protected]

For queries about this service, please contact Infrastructure at:
[email protected]

Reply via email to