Hi Dave, We have a new name Doris, so we will rename Palo to Doris. I have updated proposal as following:
#Apache Doris ##Abstract Doris is a MPP-based interactive SQL data warehousing for reporting and analysis. ##Proposal We propose to contribute the Doris codebase and associated artifacts (e.g. documentation, web-site content etc.) to the Apache Software Foundation, and aim to build an open community around Doris’s continued development in the ‘Apache Way’. ###Overview of Doris Doris’s implementation consists of two daemons: Frontend (FE) and Backend (BE). **Frontend daemon** consists of query coordinator and catalog manager. Query coordinator is responsible for receiving users’ sql queries, compiling queries and managing queries execution. Catalog manager is responsible for managing metadata such as databases, tables, partitions, replicas and etc. Several frontend daemons could be deployed to guarantee fault-tolerance, and load balancing. **Backend daemon** stores the data and executes the query fragments. Many backend daemons could also be deployed to provide scalability and fault-tolerance. A typical Doris cluster generally composes of several frontend daemons and dozens to hundreds of backend daemons. Users can use MySQL client tools to connect any frontend daemon to submit SQL query. Frontend receives the query and compiles it into query plans executable by the Backend. Then Frontend sends the query plan fragments to Backend. Backend will build a query execution DAG. Data is fetched and pipelined into the DAG. The final result response is sent to client via Frontend. The distribution of query fragment execution takes minimizing data movement and maximizing scan locality as the main goal. ##Background At Baidu, Prior to Doris, different tools were deployed to solve diverse requirements in many ways. And when a use case requires the simultaneous availability of capabilities that cannot all be provided by a single tool, users were forced to build hybrid architectures that stitch multiple tools together, but we believe that they shouldn’t need to accept such inherent complexity. A storage system built to provide great performance across a broad range of workloads provides a more elegant solution to the problems that hybrid architectures aim to solve. Doris is the solution. Doris is designed to be a simple and single tightly coupled system, not depending on other systems. Doris provides high concurrent low latency point query performance, but also provides high throughput queries of ad-hoc analysis. Doris provides bulk-batch data loading, but also provides near real-time mini-batch data loading. Doris also provides high availability, reliability, fault tolerance, and scalability. ##Rationale Doris mainly integrates the technology of Google Mesa and Apache Impala. Mesa is a highly scalable analytic data storage system that stores critical measurement data related to Google's Internet advertising business. Mesa is designed to satisfy complex and challenging set of users’ and systems’ requirements, including near real-time data ingestion and query ability, as well as high availability, reliability, fault tolerance, and scalability for large data and query volumes. Impala is a modern, open-source MPP SQL engine architected from the ground up for the Hadoop data processing environment. At present, by virtue of its superior performance and rich functionality， Impala has been comparable to many commercial MPP database query engine. Mesa can satisfy the needs of many of our storage requirements, however Mesa itself does not provide a SQL query engine; Impala is a very good MPP SQL query engine, but the lack of a perfect distributed storage engine. So in the end we chose the combination of these two technologies. Learning from Mesa’s data model, we developed a distributed storage engine. Unlike Mesa, this storage engine does not rely on any distributed file system. Then we deeply integrate this storage engine with Impala query engine. Query compiling, query execution coordination and catalog management of storage engine are integrated to be frontend daemon; query execution and data storage are integrated to be backend daemon. With this integration, we implemented a single, full-featured, high performance state the art of MPP database, as well as maintaining the simplicity. ##Current Status Doris has been an open source project on GitHub (https://github.com/baidu/palo). ###Meritocracy Doris has been deployed in production at Baidu and is applying more than 200 lines of business. It has demonstrated great performance benefits and has proved to be a better way for reporting and analysis based big data. Still We look forward to growing a rich user and developer community. ###Community Doris seeks to develop developer and user communities during incubation. ###Core Developers * Ruyue Ma (https://github.com/maruyue, maru...@baidu.com) * Chun Zhao (https://github.com/imay, buaa.zh...@gmail.com) * Mingyu Chen (https://github.com/morningman,chenmin...@baidu.com) * De Li（https://github.com/lide-reed, mailtol...@sina.com） * Hao Chen (https://github.com/chenhao7253886, chenha...@baidu.com) * Chaoyong Li (https://github.com/cyongli, lichaoy...@baidu.com) * Bin Lin (https://github.com/lingbin, lingbi...@gmail.com) ###Alignment Doris is related to several other Apache projects: * Doris can also read data stored in Apache Hadoop clusters powered by the HDFS filesystem. * Doris is closely integrated with Impala, which has graduated from Apache Incubator. * Doris uses Apache Thrift as its RPC and serialization framework of choice. ##Known Risks ###Orphaned Products The core developers of Doris team plan to work full time on this project. There is very little risk of Doris getting orphaned since at least one large company (Baidu) is extensively using it in their production. For example, currently there are more than 200 use cases using Doris in production. Furthermore, since Doris was open sourced at the beginning of October 2017, it has received more than 660 stars and been forked nearly 170 times. We plan to extend and diversify this community further through Apache. ###Inexperience with Open Source The core developers are all active users and followers of open source. They are already committers and contributors to the Doris Github project. All have been involved with the source code that has been released under an open source license, and several of them also have experience developing code in an open source environment. Though the core set of Developers do not have Apache Open Source experience, there are plans to onboard individuals with Apache open source experience on to the project. ###Homogenous Developers The most of core developers are from Baidu, but after Doris was open sourced, Doris received a lot of bug fixes and enhancements from other developers not working at Baidu. ###Reliance on Salaried Developers Baidu invested in Doris as the OLAP solution and some of its key engineers are working full time on the project. In addition, since there is a growing Big Data need for scalable OLAP solutions, we look forward to other Apache developers and researchers to contribute to the project. Also key to addressing the risk associated with relying on Salaried developers from a single entity is to increase the diversity of the contributors and actively lobby for Domain experts in the BI space to contribute. Apache Doris intends to do this. ###An Excessive Fascination with the Apache Brand Doris is proposing to enter incubation at Apache in order to help efforts to diversify the committer-base, not so much to capitalize on the Apache brand. The Doris project is in production use already inside Baidu, but is not expected to be an Baidu product for external customers. As such, the Doris project is not seeking to use the Apache brand as a marketing tool. ##Documentation Information about Doris can be found at https://github.com/baidu/palo. The following links provide more information about Doris in open source: * Doris wiki site: https://github.com/baidu/palo/wiki * Codebase at Github: https://github.com/baidu/palo * Issue Tracking: https://github.com/baidu/palo/issues * Overview: https://github.com/baidu/Doris/wiki/palo-Overview * FAQ: https://github.com/baidu/palo/wiki/palo-FAQ ##Initial Source Doris has been under development since 2017 by a team of engineers at Baidu Inc. It is currently hosted on Github.com under an Apache license at https://github.com/baidu/palo. ##External Dependencies Doris has the following external dependencies. * Google gflags (BSD) * Google glog (BSD) * Apache Thrift (Apache Software License v2.0) * Apache Commons (Apache Software License v2.0) * Boost (Boost Software License) * rapidjson (Tencent) * Google RE2 (BSD-style) * lz4 (BSD) * snappy (BSD) * Twitter Bootstrap (Apache Software License v2.0) * d3 (BSD) * LLVM (BSD-like) Build and test dependencies: * ant (Apache Software License v2.0) * Apache Maven (Apache Software License v2.0) * cmake (BSD) * clang (BSD) * Google gtest (Apache Software License v2.0) ##Required Resources ###Mailing List There are currently no mailing lists. The usual mailing lists are expected to be set up when entering incubation: priv...@doris.incubator.apache.org d...@doris.incubator.apache.org comm...@doris.incubator.apache.org ###Subversion Directory Upon entering incubation: https://github.com/baidu/palo. After incubation, we want to move the existing repo from https://github.com/baidu/palo to Apache infrastructure. ###Issue Tracking Doris currently uses GitHub to track issues. Would like to continue to do so while we discuss migration possibilities with the ASF Infra committee. ###Other Resources The existing code already has unit tests so we will make use of existing Apache continuous testing infrastructure. The resulting load should not be very large. ##Initial Committers * Ruyue Ma (https://github.com/maruyue, maru...@baidu.com) * Chun Zhao (https://github.com/imay, buaa.zh...@gmail.com) * Mingyu Chen (https://github.com/morningman,chenmin...@baidu.com) * De Li（https://github.com/lide-reed, mailtol...@sina.com） * Hao Chen (https://github.com/chenhao7253886, chenha...@baidu.com) * Chaoyong Li (https://github.com/cyongli, lichaoy...@baidu.com) * Bin Lin (https://github.com/lingbin, lingbi...@gmail.com) * Sijie Guo (guosi...@gmail.com) * Zheng Shao (zs...@apache.org) ##Affiliations The initial committers are employees of Baidu Inc.. ##Sponsors ###Champion Dave Fisher, dave2w...@comcast.net ###Nominated Mentors * Luke Han, luke...@apache.org * Dave Fisher, dave2w...@comcast.net * Willem Jiang, willem.ji...@gmail.com ###Sponsoring Entity We are requesting the Incubator to sponsor this project. On 2018/6/19 下午6:54， "Li,De(BDG)" <l...@baidu.com<mailto:l...@baidu.com>> wrote: Hi Dave, Thank you for your summary. For #1, I got it, we will find a new name ASAP within several days. For #2, I see, about license, we are rechecking all licenses of components in Palo, and we have fixed most of those we found as I wrote in last email. Next, we will continue to do this work carefully. For #3, We have reflected upon Jim's suggestion, and we will try to find out or define a cleanly interface between Palo and Impala and to determine which parts should keep in Palo and which parts should as patches for Impala. More detail and roadmap are still to be work out. For #4, I accepted your suggestion and I will update proposal. Once I have a new name, I will send you with updated proposal. Best Regards, Reed 发件人: Dave Fisher <dave2w...@comcast.net<mailto:dave2w...@comcast.net>> 答复: <general@incubator.apache.org<mailto:general@incubator.apache.org>> 日期: 2018年6月19日 星期二 上午2:08 至: <general@incubator.apache.org<mailto:general@incubator.apache.org>> 主题: Re: Looking for Champion Hi Li,De - Since I agreed to champion this project I think that we need a summary about what the Incubator PMC cares about in order to accept a podling. What the prospective project needs to address. We also need to be clear what should happen during Incubation and at what time. I think that many of the questions that came up in this thread had to do with assessing how much effort it will take to Incubate Palo (or whatever the name will be) (1) The name Palo. Since there seems to be an issue with that name we should have a new name. It is not unknown for a podling to change its name, but that does generate extra work for Infrastructure to change the name after podling start up. It would be our preference for Palo to find a new name prior to VOTING on the proposal. Please do this elsewhere and come back to me with the new name so that I can help with the updated proposal. (2) Licensing of the software. Several bits came up as questionable. Regardless of cleanup that has already occurred we have identified that we will need to be very careful. It will be important to discuss and carefully handle the Software Grant Agreement to make sure that the source listed is correct. I think that the SGA must come early during incubation. (3) Relationship with Impala. Palo has apparently forked portions of Impala. This means that some are concerned that there is a missed synergy with the Apache Impala project. Is there a clean interface that can be built between the projects? It would help if the Palo developers would explore this with Impala at d...@impala.apache.org<mailto:d...@impala.apache.org>. That said, part of the Incubation process is to learn the Apache Way. IMHO it is ok for the relationship between Impala PMC and a pooling PPMC to be a work in process. (4) Currently, Willem, Luke Han and Dave Fisher are qualified to officially mentor. I suggest that Sijie Guo and Zheng Shao be included as Initial Committers in order to help from within the PPMC. On Jun 14, 2018, at 11:03 AM, Jim Apple <jbap...@cloudera.com.INVALID<mailto:jbap...@cloudera.com.INVALID>> wrote: I don't want to be a stickler, but I don't think "For issues mentioned by Jim, Todd and Tim, I have replied on last Saturday." To my email about Palo being an ASF project as a storage system without a query engine, you replied only, "We will seriously consider this proposal." I see no response to Tim's concern that "The code isn't owned by any individual, I contributed it to Apache and it's free for anyone to do what they want to do with it, but pulling in improvements from other projects without any attempt to attribute it or contribute improvements back seems contrary to the Apache way.” Jim - do you need answers to these concerns prior to agreeing to accept this project into the Incubator? Regards, Dave On Thu, Jun 14, 2018 at 12:48 AM, Li,De(BDG) <l...@baidu.com<mailto:l...@baidu.com>> wrote: Hi all, About Palo, we have fixed following issues. 1. Related Impala For issues mentioned by Jim, Todd and Tim, I have replied on last Saturday. 2、Lisence issue For issues mentioned by Todd and Ted. 1) be/aes/* come from mysql-5.6, GPL v2.1 license Fixed: removed aes related codes. https://github.com/baidu/palo/commit/ac770c33d445a4c18a0b74f56b28a4 180b30bf b7 https://github.com/baidu/palo/commit/3c9f2ae6695ffebe41e39b6bf65440 77698f1c ed 2) be/util/mysql_dtoa.cpp copy from MySQL, GPL license Fixed: removed mysql_dtoa related codes. https://github.com/baidu/palo/commit/bfe1bc7cf39e165a7c52b2c9415509 75b1f841 a1 3) be/http/mongoose.h, Copyright (c) 2004-2012 Sergey Lyubka Fixed: restored to original lisence, we are searching another http server to replace it. https://github.com/baidu/palo/commit/81baef34f48a2dbe7401712c5e0a50 f59f04a8 31 4) be/rpc/* Fixed: We have replaced it with brpc, and we will remove Hypertable after few weeks for waiting users' upgrade to brpc. https://github.com/baidu/palo/tree/master/be/src/rpc 3、Dependency licenses For issue mentioned by Dave, It looks like that Palo have not depend on OpenLdap and cyrus-sasl directly, but some thirdpary libraries need them to compile, libcurl and gperftools for instance. For rapidjson, we are looking for alternative one. 4、About the name of Palo For issue mentioned by Julian. We are figuring out a better one. Best Regards, Reed 在 2018/6/13 上午8:54， "Li,De(BDG)" <l...@baidu.com<mailto:l...@baidu.com>> 写入: Hi Julian, Thank you. It looks like that we have to find another one. If anyone has a good name, please feel free to let me know. Best Regards, Reed 在 2018/6/13 上午4:20， "Julian Hyde" <jh...@apache.org<mailto:jh...@apache.org>> 写入: Note that there is an existing database product called Palo - an open source OLAP engine by German company Jedox[1]. There there is a high likelihood that Palo would have to change its name during incubation, if accepted. Julian [1] https://en.wikipedia.org/wiki/Palo_(OLAP_database) <https://en.wikipedia.org/wiki/Palo_(OLAP_database)> On Jun 10, 2018, at 3:49 AM, Han Luke <luke...@gmail.com<mailto:luke...@gmail.com>> wrote: Cool Dave, it’s great to have you to be the campaign. ________________________________ From: Tan,Zhongyi <tanzhon...@baidu.com<mailto:tanzhon...@baidu.com> <mailto:tanzhon...@baidu.com>> Sent: Saturday, June 9, 2018 8:16:28 AM To: general@incubator.apache.org<mailto:general@incubator.apache.org> <mailto:general@incubator.apache.org> Subject: Re: Looking for Champion thanks，willem we are very appreciate. 在 2018年6月8日，23:03，Willem Jiang <willem.ji...@gmail.com<mailto:willem.ji...@gmail.com>> 写道： Hi, I'm willing to be the Mentor. Please count me in. Willem Jiang Twitter: willemjiang Weibo: 姜宁willem On Fri, Jun 8, 2018 at 8:59 PM, Dave Fisher <dave2w...@comcast.net<mailto:dave2w...@comcast.net>> wrote: Hi - I’m willing to Champion and Mentor. I have a couple of comments inline. I’ll look at dependency licenses later today. It’s early for me. On Jun 7, 2018, at 9:45 PM, Li,De(BDG) <l...@baidu.com<mailto:l...@baidu.com>> wrote: Hi all, I am Reed, as a developer worked with the team for Palo (a MPP-based interactive SQL data warehousing). https://github.com/baidu/palo/wiki/Palo-Overview We propose to contribute Palo as an Apache Incubator project, and we are still looking for possible Champion if anyone would like to volunteer. Thanks a lot. Best Regards, Reed =================== The draft of the proposal as below: #Apache Palo ##Abstract Palo is a MPP-based interactive SQL data warehousing for reporting and analysis. ##Proposal We propose to contribute the Palo codebase and associated artifacts (e.g. documentation, web-site content etc.) to the Apache Software Foundation with the intent of forming a productive, meritocratic and open community around Palo’s continued development, according to the ‘Apache Way’. Baidu owns several trademarks regarding Palo, and proposes to transfer ownership of those trademarks in full to the ASF. ###Overview of Palo Palo’s implementation consists of two daemons: Frontend (FE) and Backend (BE). **Frontend daemon** consists of query coordinator and catalog manager. Query coordinator is responsible for receiving users’ sql queries, compiling queries and managing queries execution. Catalog manager is responsible for managing metadata such as databases, tables, partitions, replicas and etc. Several frontend daemons could be deployed to guarantee fault-tolerance, and load balancing. **Backend daemon** stores the data and executes the query fragments. Many backend daemons could also be deployed to provide scalability and fault-tolerance. A typical Palo cluster generally composes of several frontend daemons and dozens to hundreds of backend daemons. Users can use MySQL client tools to connect any frontend daemon to submit SQL query. Frontend receives the query and compiles it into query plans executable by the Backend. Then Frontend sends the query plan fragments to Backend. Backend will build a query execution DAG. Data is fetched and pipelined into the DAG. The final result response is sent to client via Frontend. The distribution of query fragment execution takes minimizing data movement and maximizing scan locality as the main goal. ##Background At Baidu, Prior to Palo, different tools were deployed to solve diverse requirements in many ways. And when a use case requires the simultaneous availability of capabilities that cannot all be provided by a single tool, users were forced to build hybrid architectures that stitch multiple tools together, but we believe that they shouldn’t need to accept such inherent complexity. A storage system built to provide great performance across a broad range of workloads provides a more elegant solution to the problems that hybrid architectures aim to solve. Palo is the solution. Palo is designed to be a simple and single tightly coupled system, not depending on other systems. Palo provides high concurrent low latency point query performance, but also provides high throughput queries of ad-hoc analysis. Palo provides bulk-batch data loading, but also provides near real-time mini-batch data loading. Palo also provides high availability, reliability, fault tolerance, and scalability. ##Rationale Palo mainly integrates the technology of Google Mesa and Apache Impala. Mesa is a highly scalable analytic data storage system that stores critical measurement data related to Google's Internet advertising business. Mesa is designed to satisfy complex and challenging set of users’ and systems’ requirements, including near real-time data ingestion and query ability, as well as high availability, reliability, fault tolerance, and scalability for large data and query volumes. Impala is a modern, open-source MPP SQL engine architected from the ground up for the Hadoop data processing environment. At present, by virtue of its superior performance and rich functionality， Impala has been comparable to many commercial MPP database query engine. Mesa can satisfy the needs of many of our storage requirements, however Mesa itself does not provide a SQL query engine; Impala is a very good MPP SQL query engine, but the lack of a perfect distributed storage engine. So in the end we chose the combination of these two technologies. Learning from Mesa’s data model, we developed a distributed storage engine. Unlike Mesa, this storage engine does not rely on any distributed file system. Then we deeply integrate this storage engine with Impala query engine. Query compiling, query execution coordination and catalog management of storage engine are integrated to be frontend daemon; query execution and data storage are integrated to be backend daemon. With this integration, we implemented a single, full-featured, high performance state the art of MPP database, as well as maintaining the simplicity. ##Current Status Palo has been an open source project on GitHub ( https://github.com/baidu/palo). ###Meritocracy Palo has been deployed in production at Baidu and is applying more than 200 lines of business. It has demonstrated great performance benefits and has proved to be a better way for reporting and analysis based big data. Still We look forward to growing a rich user and developer community. ###Community Palo seeks to develop developer and user communities during incubation. ###Core Developers * Ruyue Ma (https://github.com/maruyue, maru...@baidu.com<mailto:maru...@baidu.com><mailto:maruy u...@baidu.com<mailto:u...@baidu.com>>) * Chun Zhao (https://github.com/imay, buaa.zh...@gmail.com<mailto:buaa.zh...@gmail.com><mailto: bu aa.zh...@gmail.com<mailto:aa.zh...@gmail.com>>) * Mingyu Chen (https://github.com/morningman,chenmin...@baidu.com) * De Li（https://github.com/lide-reed, mailtol...@sina.com）<mailto:mailtol...@sina.com）><mailto: ma iltol...@sina.com%EF%BC%89<mailto:iltol...@sina.com%EF%BC%89>> * Hao Chen (https://github.com/chenhao7253886, chenha...@baidu.com<mailto:chenha...@baidu.com> <mailto:chenha...@baidu.com>) * Chaoyong Li (https://github.com/cyongli, lichaoy...@baidu.com<mailto:lichaoy...@baidu.com><mailto: lichaoy...@baidu.com<mailto:lichaoy...@baidu.com>>) * Bin Lin (https://github.com/lingbin, lingbi...@gmail.com<mailto:lingbi...@gmail.com><mailto:lin gbi...@gmail.com<mailto:gbi...@gmail.com>>) ###Alignment Palo is related to several other Apache projects: * Palo can also read data stored in Apache Hadoop clusters powered by the HDFS filesystem. * Palo is closely integrated with Impala, which is also being proposed to the Incubator. Apache Impala has completed Incubation. Jim Apple is VP, Impala. * Palo uses Apache Thrift as its RPC and serialization framework of choice. ##Known Risks ###Orphaned Products The core developers of Palo team plan to work full time on this project. There is very little risk of Palo getting orphaned since at least one large company (Baidu) is extensively using it in their production. For example, currently there are more than 200 use cases using Palo in production. Furthermore, since Palo was open sourced at the beginning of October 2017, it has received more than 660 stars and been forked nearly 170 times. We plan to extend and diversify this community further through Apache. ###Inexperience with Open Source The core developers are all active users and followers of open source. They are already committers and contributors to the Palo Github project. All have been involved with the source code that has been released under an open source license, and several of them also have experience developing code in an open source environment. Though the core set of Developers do not have Apache Open Source experience, there are plans to onboard individuals with Apache open source experience on to the project. ###Homogenous Developers The most of core developers are from Baidu, but after Palo was open sourced, Palo received a lot of bug fixes and enhancements from other developers not working at Baidu. ###Reliance on Salaried Developers Baidu invested in Palo as the OLAP solution and some of its key engineers are working full time on the project. In addition, since there is a growing Big Data need for scalable OLAP solutions, we look forward to other Apache developers and researchers to contribute to the project. Also key to addressing the risk associated with relying on Salaried developers from a single entity is to increase the diversity of the contributors and actively lobby for Domain experts in the BI space to contribute. Apache Palo intends to do this. ###An Excessive Fascination with the Apache Brand Palo is proposing to enter incubation at Apache in order to help efforts to diversify the committer-base, not so much to capitalize on the Apache brand. The Palo project is in production use already inside Baidu, but is not expected to be an Baidu product for external customers. As such, the Palo project is not seeking to use the Apache brand as a marketing tool. ##Documentation Information about Palo can be found at https://github.com/baidu/palo. The following links provide more information about Palo in open source: * Palo wiki site: https://github.com/baidu/palo/wiki * Codebase at Github: https://github.com/baidu/palo * Issue Tracking: https://github.com/baidu/palo/issues * Overview: https://github.com/baidu/palo/wiki/Palo-Overview * FAQ: https://github.com/baidu/palo/wiki/Palo-FAQ ##Initial Source Palo has been under development since 2017 by a team of engineers at Baidu Inc. It is currently hosted on Github.com under an Apache license at https://github.com/baidu/palo. ##External Dependencies Palo has the following external dependencies. * Google gflags (BSD) * Google glog (BSD) * Apache Thrift (Apache Software License v2.0) * Apache Commons (Apache Software License v2.0) * Boost (Boost Software License) * OpenLdap (OpenLDAP Software License) * rapidjson (Tencent) * Google RE2 (BSD-style) * lz4 (BSD) * snappy (BSD) * cyrus-sasl (CMU License) * Twitter Bootstrap (Apache Software License v2.0) * d3 (BSD) * LLVM (BSD-like) Build and test dependencies: * ant (Apache Software License v2.0) * Apache Maven (Apache Software License v2.0) * cmake (BSD) * clang (BSD) * Google gtest (Apache Software License v2.0) ##Required Resources ###Mailing List There are currently no mailing lists. The usual mailing lists are expected to be set up when entering incubation: priv...@palo.incubator.apache.org<mailto:priv...@palo.incubator.apache.org><mailto:private@palo. incubator.apache.org> d...@palo.incubator.apache.org<mailto:d...@palo.incubator.apache.org><mailto:d...@palo.incubator.apache.org> comm...@palo.incubator.apache.org<mailto:comm...@palo.incubator.apache.org><mailto:commits@palo. incubator.apache.org> ###Subversion Directory Upon entering incubation: https://github.com/baidu/palo. After incubation, we want to move the existing repo from https://github.com/baidu/palo to Apache infrastructure. ###Issue Tracking Palo currently uses GitHub to track issues. Would like to continue to do so while we discuss migration possibilities with the ASF Infra committee. ###Other Resources The existing code already has unit tests so we will make use of existing Apache continuous testing infrastructure. The resulting load should not be very large. ##Initial Committers * Ruyue Ma (https://github.com/maruyue, maru...@baidu.com<mailto:maru...@baidu.com><mailto:maruy u...@baidu.com<mailto:u...@baidu.com>>) * Chun Zhao (https://github.com/imay, buaa.zh...@gmail.com<mailto:buaa.zh...@gmail.com><mailto: bu aa.zh...@gmail.com<mailto:aa.zh...@gmail.com>>) * Mingyu Chen (https://github.com/morningman,chenmin...@baidu.com) * De Li（https://github.com/lide-reed, mailtol...@sina.com）<mailto:mailtol...@sina.com）><mailto: ma iltol...@sina.com%EF%BC%89<mailto:iltol...@sina.com%EF%BC%89>> * Hao Chen (https://github.com/chenhao7253886, chenha...@baidu.com<mailto:chenha...@baidu.com> <mailto:chenha...@baidu.com>) * Chaoyong Li (https://github.com/cyongli, lichaoy...@baidu.com<mailto:lichaoy...@baidu.com><mailto: lichaoy...@baidu.com<mailto:lichaoy...@baidu.com>>) * Bin Lin (https://github.com/lingbin, lingbi...@gmail.com<mailto:lingbi...@gmail.com><mailto:lin gbi...@gmail.com<mailto:gbi...@gmail.com>>) ##Affiliations The initial committers are employees of Baidu Inc.. The nominated mentors are employees of TODO. ##Sponsors ###Champion TODO ###Nominated Mentors * sijie guo, guosi...@gmail.com<mailto:guosi...@gmail.com><mailto:guosi...@gmail.com> * Luke Han, luke...@apache.org<mailto:luke...@apache.org><mailto:luke...@apache.org> * Zheng Shao, zs...@apache.org<mailto:zs...@apache.org><mailto:zs...@apache.org> Mentors must be members of the IPMC and almost always Members of the ASF. At this moment only Luke Han is qualified. Regards, Dave ###Sponsoring Entity We are requesting the Incubator to sponsor this project. ?B婯 KKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKK KKKKKKKCB??[ 溳 X溫軞X橩??K[XZ[??賉橽榌 ][溳X溫軞X橮?[樰X榏?軏榎?X?K涇櫭B憶軋?Y??]?[蹣[?? 圹[X[???K[XZ[??賉橽榌 Z?[???[樰X榏?軏榎?X?K涇櫭B ?B�KKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKK KKKKKKKKCB� ?�?[��X��ܚX�K??K[XZ[?�?�[�\�[?][��X��ܚX�P?[��X�]?܋�\?X�?K� ܙ�B��܈?Y??]?[ۘ[? ?��[X[�?�??K[XZ[?�?�[�\�[?Z?[???[��X�]?܋�\?X�?K�ܙ�B
