Contents
ShardingSphere
Synapse
Open Telemetry based Tracing for Apache Synapse
Currently, Apache Synapse does not have sophisticated support for modern tracing standardized. Therefore this new feature is intended to implement OpenTelemetery based tracing implementation for apache synapse.
This feature will include request-response training and inbound/outbound tracing at the transport level and the orchestration layer. Further, this also needs a really good investigation on Opentelemetry specification[1] and the Apache synapse transport component [1].
Relevant Skills
- JAVA language
- Understanding about observability
- Integration and Synapse configuration language.
[1]https://opentelemetry.io/
[2] http://synapse.apache.org/userguide/transports/pass_through.html
ShardingSphere
Apache ShardingSphere: Proofread the SQL definitions for ShardingSphere Parser
Apache ShardingSphere
Apache ShardingSphere is a distributed database middleware ecosystem, including 2 independent products, ShardingSphere JDBC and ShardingSphere Proxy presently. They all provide functions of data sharding, distributed transaction, and database orchestration.
Page: https://shardingsphere.apache.org
Github
Apache ShardingSphere: Proofread the SQL definitions for ShardingSphere Parser
Apache ShardingSphere
Apache ShardingSphere is a distributed database middleware ecosystem, including 2 independent products, ShardingSphere JDBC and ShardingSphere Proxy presently. They all provide functions of data sharding, distributed transaction, and database orchestration.
Page: https://shardingsphere.apache.org
Github: https://github.com/apache/shardingsphere
Background
ShardingSphere parser engine helps users parse a SQL to get the AST (Abstract Syntax Tree) and visit this tree to get SQLStatement (Java Object). At present, this parser engine can handle SQLs for `MySQL`, `PostgreSQL`, `SQLServer` and `Oracle`, which means we have to understand different database dialect SQLs.
More details: https://shardingsphere.apache.org/document/current/en/features/sharding/principle/parse/
Task
This issue is to proofread the DML(SELECT/UPDATE/DELETE/INSERT) SQL definitions for Oracle. As we have a basic Oracle SQL syntax definitions but do not keep in line with Oracle DOC, we need you to find out the vague SQL grammar definitions and correct them referring to Oracle DOC.
Notice, when you review these DML(SELECT/UPDATE/DELETE/INSERT) SQLs, you will find that these definitions will involve some basic elements of Oracle SQL. No doubt, these elements are included in this task as well.
Relevant Skills
1. Master JAVA language
2. Have a basic understanding of Antlr g4 file
3. Be familiar with Oracle SQLs
Targets files
1. DML SQLs g4 file: https://github.com/apache/shardingsphere/blob/master/shardingsphere-sql-parser/shardingsphere-sql-parser-dialect/shardingsphere-sql-parser-oracle/src/main/antlr4/imports/oracle/DMLStatement.g4
2. Basic elements g4 file: https://github.com/apache/shardingsphere/blob/master/shardingsphere-sql-parser/shardingsphere-sql-parser-dialect/shardingsphere-sql-parser-oracle/src/main/antlr4/imports/oracle/BaseRule.g4
References
1. Oracle SQL quick reference: https://docs.oracle.com/en/database/oracle/oracle-database/19/sqlqr/SQL-Statements.html#GUID-1FA35EAD-AED2-4619-BFEE-348FF05D1F4A
2. Detailed Oracle SQL info: https://docs.oracle.com/pls/topic/lookup?ctx=en/database/oracle/oracle-database/19/sqlqr&id=SQLRF008
Mentor
Juan Pan, PMC of Apache ShardingSphere, panjuan@apache.org
SkyWalking
Background
ShardingSphere parser engine helps users parse a SQL to get the AST (Abstract Syntax Tree) and visit this tree to get SQLStatement (Java Object). At present, this parser engine can handle SQLs for `MySQL`, `PostgreSQL`, `SQLServer` and `Oracle`, which means we have to understand different database dialect SQLs.
More details: https://shardingsphere.apache.org/document/current/en/features/sharding/principle/parse/
Task
This issue is to proofread the DML(SELECT/UPDATE/DELETE/INSERT) SQL definitions for Oracle. As we have a basic Oracle SQL syntax definitions but do not keep in line with Oracle DOC, we need you to find out the vague SQL grammar definitions and correct them referring to Oracle DOC.
Notice, when you review these DML(SELECT/UPDATE/DELETE/INSERT) SQLs, you will find that these definitions will involve some basic elements of Oracle SQL. No doubt, these elements are included in this task as well.
Relevant Skills
1. Master JAVA language
2. Have a basic understanding of Antlr g4 file
3. Be familiar with Oracle SQLs
Targets files
1. DML SQLs g4 file: https://github.com/apache/shardingsphere/blob/master/shardingsphere-sql-parser/shardingsphere-sql-parser-dialect/shardingsphere-sql-parser-oracle/src/main/antlr4/imports/oracle/DMLStatement.g4
2. Basic elements g4 file: https://github.com/apache/shardingsphere/blob/master/shardingsphere-sql-parser/shardingsphere-sql-parser-dialect/shardingsphere-sql-parser-oracle/src/main/antlr4/imports/oracle/BaseRule.g4
References
1. Oracle SQL quick reference: https://docs.oracle.com/en/database/oracle/oracle-database/19/sqlqr/SQL-Statements.html#GUID-1FA35EAD-AED2-4619-BFEE-348FF05D1F4A
2. Detailed Oracle SQL info: https://docs.oracle.com/pls/topic/lookup?ctx=en/database/oracle/oracle-database/19/sqlqr&id=SQLRF008
Mentor
Juan Pan, PMC of Apache ShardingSphere, panjuan@apache.org
SkyWalking
Apache SkyWalking: Python agent collects and reports PVM metrics to backend
Apache SkyWalking [1] is an application performance monitor (APM) tool for distributed systems, especially designed for microservices, cloud native and container-based (Docker, K8s, Mesos) architectures.
Tracing distributed systems is one of the main features of SkyWalking, with those traces, it can analyze some service metrics such as CPM, success rate, error rate, apdex, etc. SkyWalking also supports receiving metrics from the agent side directly.
In this task, we expect the Python agent to report its Python Virtual Machine (PVM) metrics, including (but not limited to, whatever metrics useful are also acceptable) CPU usage (%), memory used (MB), (active) thread/coroutine counts, garbage collection count, etc.
To complete this task, you must be comfortable with Python and gRPC, otherwise you'll have a hard time coming up to speed.
Live demo to play around: http://122.112.182.72:8080 (under reconstruction, maybe unavailable but latest demo address can be found at the GitHub index page http://github.com/apache/skywalking)
Apache SkyWalking: Python agent supports profiling
Apache SkyWalking
Apache SkyWalking: Python agent supports profiling
Apache SkyWalking [1] is an application performance monitor (APM) tool for distributed systems, especially designed for microservices, cloud native and container-based (Docker, K8s, Mesos) architectures.
SkyWalking is based on agent to instrument (automatically) monitored services, for now, we have many agents for different languages, Python agent [2] is one of them, which supports automatic instrumentations.
The goal of this project is to extend the agent's features by supporting profiling [3] a function's invocation stack, help the users to analyze which method costs the most major time in a cross-services call.
To complete this task, you must be comfortable with Python, have some knowledge of tracing system, otherwise you'll have a hard time coming up to speed..
[1] http://skywalking.apache.org
[2] http://github.com/apache/skywalking-python
[3] https://thenewstack.io/apache-skywalking-use-profiling-to-fix-the-blind-spot-of-distributed-tracing/
TrafficControl
GSOC: Varnish Cache support in Apache Traffic Control
Background
Apache Traffic Control is a Content Delivery Network (CDN) control plane for large scale content distribution.
Traffic Control currently requires Apache Traffic Server as the underlying cache. Help us expand the scope by integrating with the very popular Varnish Cache.
There are multiple aspects to this project:
- Configuration Generation: Write software to build Varnish configuration files (VCL). This code will be implemented in our Traffic Ops and cache client side utilities, both written in Go.
- Health Monitoring: Implement monitoring of the Varnish cache health and performance. This code will run both in the Traffic Monitor component and within Varnish. Traffic Monitor is written in Go and Varnish is written in C.
- Testing: Adding automated tests for new code
Skills:
- Proficiency in Go is required
- A basic knowledge of HTTP and caching is preferred, but not required for this project.
Apache SkyWalking: Python agent collects and reports PVM metrics to backend
Apache SkyWalking [1] is an application performance monitor (APM) tool for distributed systems, especially designed for microservices, cloud native and container-based (Docker, K8s, Mesos) architectures.
Tracing distributed systems is one of the main features of SkyWalking, with those traces, it can analyze some service metrics such as CPM, success rate, error rate, apdex, etc. SkyWalking also supports receiving metrics from the agent side directly.
In this task, we expect the Python agent to report its Python Virtual Machine (PVM) metrics, including (but not limited to, whatever metrics useful are also acceptable) CPU usage (%), memory used (MB), (active) thread/coroutine counts, garbage collection count, etc.
To complete this task, you must be comfortable with Python and gRPC, otherwise you'll have a hard time coming up to speed.
Live demo to play around: http://122.112.182.72:8080 (under reconstruction, maybe unavailable but latest demo address can be found at the GitHub index page http://github.com/apache/skywalking)
[1] http://skywalking.apache.orgApache Hudi
[UMBRELLA] Checkstyle, formatting, warnings, spotless
Umbrella ticket to track all tickets related to checkstyle, spotless, warnings etc.
...
[UMBRELLA] Improve CLI features and usabilities
(More details to be added)
[UMBRELLA] Support
Apache Calcite for writing/querying Hudi datasetsschema inference for unstructured data
(More details to be added)
[UMBRELLA] Improve source ingestion support in DeltaStreamer
(More details to be added)
Apache Airflow integration w/ Apache Hudi
[UMBRELLA] Survey indexing technique for better query performance
Pandas(python) integration w/ Apache Hudi
[UMBRELLA] Support schema inference for unstructured data
(More details to be added)Pyspark w/ Apache Hudi
Snowflake integration w/ Apache Hudi
[UMBRELLA] Support Apache Calcite for writing/querying Hudi datasets
(More details to be added)
[UMBRELLA] Improve source ingestion support in DeltaStreamer
(More details to be added)
[UMBRELLA] Survey indexing technique for better query performance
(More details to be added)
...
Apache APISIX: Support Nacos in a native way
Apache APISIX is a dynamic, real-time, high-performance cloud-native API gateway, based on the Nginx library and etcd.
Page: https://apisix.apache.org
Github: https://github.com/apache/apisix
Background
To get the upstream information dynamically, APISIX need to be integrated with other service discovery systems. Currently we already support Eureka, and many people hope we can support Nacos too.
Nacos is a widely adopted service discovery system: https://nacos.io/en-us/index.html
Previously we try to support Nacos via DNS. Nacos provides a CoreDNS plugin to expose the information via DNS: https://github.com/nacos-group/nacos-coredns-plugin
However, this plugin seems to be unmaintained.
Therefore, it would be good if we can support Nacos natively via its API, which is expected to be maintained.
Task
Integrate Nacos with APISIX via Nacos's HTTP API.
Relevant Skills
1. Master Lua language and HTTP protocol
2. Have a basic understanding of APISIX / Nacos
Targets files
1. https://github.com/apache/apisix/tree/master/apisix/discovery
References
1. Nacos Open API: https://nacos.io/en-us/docs/open-api.html
Mentor
Zexuan Luo, committer of Apache APISIX, spacewander@apache.org
Apache APISIX Dashboard: Enhancement plugin orchestration
The Apache APISIX Dashboard is designed to make it as easy as possible for users to operate operate Apache APISIX through through a frontend interface.
The Dashboard is the control plane and performs all parameter checks; Apache APISIX mixes data and control planes and will evolve to a pure data plane.
This project includes managerincludes manager-api, which will gradually replace adminreplace admin-api in api in Apache APISIX.
Background
The plugin orchestration feature allows users to define the order of plugins to meet their scenarios. At present, we have implemented the plugin scheduling feature, but there are still many points to be optimized.
Task
1. develop a new plugin, conditional judgment card style.
2. Add arrows for connecting lines.
3. Limit plugin orchestration operations. For example, only one connection line is allowed between points.
Relevant Skills
1. Basic Basic use of HTML, CSS, and JavaScript.
2. Basic use of of React Framework.
Mentor
Yi Sun, committer of Apache APISIX,sunyi@apache.org
...
Apache APISIX: supports obtaining etcd data information through plugin
Apache APISIX
Apache APISIX is a dynamic, real-time, high-performance API gateway, based on the Nginx library and etcd.
APISIX provides rich traffic management features such as load balancing, dynamic upstream, canary release, circuit breaking, authentication, observability, and more.
You can use Apache APISIX to handle traditional north-south traffic, as well as east-west traffic between services. It can also be used as a k8s ingress controller.
Background
When we get the stored data of etcd, we need to manually execute the URI request method to get each piece of data, and we cannot monitor the changed data in etcd. This is not friendly to issues such as obtaining multiple etcd stored data and monitoring etcd data changes. Therefore, we need to design a method to solve this problem.
Related issue: https://github.com/apache/apisix/issues/2453
Task
In the Apache APISIX (https://github.com/apache/apisix) project, implement a plug-in with the following functions:
1.Find route based on URI;
2.Watch etcd to print out the object that has recently changed;
3.Query the corresponding data based on ID (route, service, consumer, etc.).
Relevant Skills
1. Master Lua language;
2. Have a basic understanding of API Gateway or Web server;
3. Be familiar with ETCD.
Mentor
Yuelin Zheng, yuelinz99@gmail.com
...
Apache APISIX: support to fetch more useful information of client request
What's Apache APISIX?
Apache APISIX is a dynamic, real-time, high-performance API gateway, based on the Nginx library and etcd.
APISIX provides rich traffic management features such as load balancing, dynamic upstream, canary release, circuit breaking, authentication, observability, and more.
You can use Apache APISIX to handle traditional north-south traffic, as well as east-west traffic between services. It can also be used as a k8s ingress controller.
Background (route matching and run plugins)
When the client completes a request, there is a lot of useful information inside Apache APISIX.
Task
Needs a way to show it. It is convenient for callers to troubleshoot problems and understand the workflow of Apache APISIX.
The first version target can display:
1. Which route is matched.
2. Which plugins are loaded.
In subsequent versions, we will add more information that the caller cares about, such as:
- Whether the global plugin is executed
- Time consumption statistics
- The return value when the plugin is executed
Relevant Skills
1. Master Lua language
2. Have a basic understanding of API Gateway or Web server
Apache APISIX: improve the website
Apache APISIX
Apache APISIX is a dynamic, real-time, high-performance API gateway, based on the Nginx library and etcd, and we have a standalone website to let more people know about the Apache APISIX.
Background
The website of Apache APISIX is used for showing people what's Apache APISIX is, and it will include up to date docs to let developers searching guides more easily, and so on.
Task
In the website[1] and its repo[2], we are going to refactor the homepage, improve those docs which include apisix's docs and some like release guide.
Relevant Skills
TypeScript
React.js
Mentor
Zhiyuan, PMC of Apache APISIX, juzhiyuan@apache.org
[1] https://apisix.apache.org/
[2]https://github.com/apache/apisix-website