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https://issues.apache.org/jira/browse/COMDEV-492?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hongsheng Zhong updated COMDEV-492:
-----------------------------------
Description:
h2. Apache ShardingSphere
Apache ShardingSphere is positioned as a Database Plus, and aims at building a
standard layer and ecosystem above heterogeneous databases. It focuses on how
to reuse existing databases and their respective upper layer, rather than
creating a new database. The goal is to minimize or eliminate the challenges
caused by underlying databases fragmentation.
{*}Page{*}:
[https://shardingsphere.apache.org|https://shardingsphere.apache.org/]
{*}Github{*}: [https://github.com/apache/shardingsphere]
h2. Background
The community just added CDC (change data capture)
[feature|https://github.com/apache/shardingsphere/issues/22500] recently.
Change feed will be published in created network connection after logging in,
then it could be consumed.
Since Kafka is popular distributed event streaming platform, it's useful to
import change feed into Kafka for later processing.
h2. Task
# Familiar with ShardingSphere CDC client usage, create publication and
subscribe change feed.
# Familiar with Kafka connector development, develop source connector,
integrate with ShardingSphere CDC. Persist change feed to Kafka topics properly.
# Add unit test and E2E integration test.
h2. Relevant Skills
1. Java language
2. Basic knowledge of CDC and Kafka
3. Maven
h3. References
* [https://github.com/apache/shardingsphere/issues/22500]
* [https://kafka.apache.org/documentation/#connect_development]
* [https://github.com/apache/kafka/tree/trunk/connect/file/src]
* [https://github.com/confluentinc/kafka-connect-jdbc]
h3. Mentor
Hongsheng Zhong, PMC of Apache ShardingSphere, [email protected]
Xinze Guo, Committer of Apache ShardingSphere, [email protected]
was:
h2. Apache ShardingSphere
Apache ShardingSphere is positioned as a Database Plus, and aims at building a
standard layer and ecosystem above heterogeneous databases. It focuses on how
to reuse existing databases and their respective upper layer, rather than
creating a new database. The goal is to minimize or eliminate the challenges
caused by underlying databases fragmentation.
{*}Page{*}:
[https://shardingsphere.apache.org|https://shardingsphere.apache.org/]
{*}Github{*}: [https://github.com/apache/shardingsphere]
h2. Background
The community just added CDC (change data capture)
[feature|https://github.com/apache/shardingsphere/issues/22500] recently.
Change feed will be published in created network connection after logging in,
then it could be consumed.
Since Kafka is popular distributed event streaming platform, it's useful to
import change feed into Kafka for later processing.
h2. Task
# Familiar with ShardingSphere CDC client usage, create publication and
subscribe change feed.
# Familiar with Kafka connector development, develop source connector,
integrate with ShardingSphere CDC. Persist change feed to Kafka topics properly.
h2. Relevant Skills
1. Java language
2. Basic knowledge of CDC and Kafka
3. Maven
h3. References
* [https://github.com/apache/shardingsphere/issues/22500]
* [https://kafka.apache.org/documentation/#connect_development]
* [https://github.com/apache/kafka/tree/trunk/connect/file/src]
* [https://github.com/confluentinc/kafka-connect-jdbc]
h3. Mentor
Hongsheng Zhong, PMC of Apache ShardingSphere,
[[email protected]|mailto:[email protected]]
Labels: ShardingSphere full-time gsoc2023 mentor (was:
ShardingSphere gsoc2023 mentor)
Remaining Estimate: (was: 175h)
Original Estimate: (was: 175h)
> Apache ShardingSphere: Add ShardingSphere Kafka source connector
> ----------------------------------------------------------------
>
> Key: COMDEV-492
> URL: https://issues.apache.org/jira/browse/COMDEV-492
> Project: Community Development
> Issue Type: Improvement
> Components: GSoC/Mentoring ideas
> Reporter: Hongsheng Zhong
> Priority: Major
> Labels: ShardingSphere, full-time, gsoc2023, mentor
>
> h2. Apache ShardingSphere
> Apache ShardingSphere is positioned as a Database Plus, and aims at building
> a standard layer and ecosystem above heterogeneous databases. It focuses on
> how to reuse existing databases and their respective upper layer, rather than
> creating a new database. The goal is to minimize or eliminate the challenges
> caused by underlying databases fragmentation.
> {*}Page{*}:
> [https://shardingsphere.apache.org|https://shardingsphere.apache.org/]
> {*}Github{*}: [https://github.com/apache/shardingsphere]
> h2. Background
> The community just added CDC (change data capture)
> [feature|https://github.com/apache/shardingsphere/issues/22500] recently.
> Change feed will be published in created network connection after logging in,
> then it could be consumed.
> Since Kafka is popular distributed event streaming platform, it's useful to
> import change feed into Kafka for later processing.
> h2. Task
> # Familiar with ShardingSphere CDC client usage, create publication and
> subscribe change feed.
> # Familiar with Kafka connector development, develop source connector,
> integrate with ShardingSphere CDC. Persist change feed to Kafka topics
> properly.
> # Add unit test and E2E integration test.
> h2. Relevant Skills
> 1. Java language
> 2. Basic knowledge of CDC and Kafka
> 3. Maven
> h3. References
> * [https://github.com/apache/shardingsphere/issues/22500]
> * [https://kafka.apache.org/documentation/#connect_development]
> * [https://github.com/apache/kafka/tree/trunk/connect/file/src]
> * [https://github.com/confluentinc/kafka-connect-jdbc]
> h3. Mentor
> Hongsheng Zhong, PMC of Apache ShardingSphere, [email protected]
> Xinze Guo, Committer of Apache ShardingSphere, [email protected]
>
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