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From "Gangumalla, Uma" <>
Subject Re: [VOTE] Accept CarbonData into the Apache Incubator
Date Thu, 26 May 2016 17:09:47 GMT
+1 (binding)


On 5/25/16, 1:24 PM, "Jean-Baptiste Onofré" <> wrote:

>Hi all,
>following the discussion thread, I'm now calling a vote to accept
>CarbonData into the Incubator.
>​[ ] +1 Accept CarbonData into the Apache Incubator
>[ ] +0 Abstain
>[ ] -1 Do not accept CarbonData into the Apache Incubator, because ...
>This vote is open for 72 hours.
>The proposal follows, you can also access the wiki page:
>Thanks !
>= Apache CarbonData =
>== Abstract ==
>Apache CarbonData is a new Apache Hadoop native file format for faster
>query using advanced columnar storage, index, compression and encoding
>to improve computing efficiency, in turn it will help speedup queries an
>order of
>magnitude faster over PetaBytes of data.
>CarbonData github address:
>== Background ==
>Huawei is an ICT solution provider, we are committed to enhancing
>customer experiences for telecom carriers, enterprises, and consumers on
>big data, In order to satisfy the following customer requirements, we
>created a new Hadoop native file format:
>  * Support interactive OLAP-style query over big data in seconds.
>  * Support fast query on individual record which require touching all
>  * Fast data loading speed and support incremental load in period of
>  * Support HDFS so that customer can leverage existing Hadoop cluster.
>  * Support time based data retention.
>Based on these requirements, we investigated existing file formats in
>the Hadoop eco-system, but we could not find a suitable solution that
>satisfying requirements all at the same time, so we start designing
>== Rationale ==
>CarbonData contains multiple modules, which are classified into two
>  1. CarbonData File Format: which contains core implementation for file
>format such as columnar,index,dictionary,encoding+compression,API for
>reading/writing etc.
>  2. CarbonData integration with big data processing framework such as
>Apache Spark, Apache Hive etc. Apache Beam is also planned to abstract
>the execution runtime.
>=== CarbonData File Format ===
>CarbonData file format is a columnar store in HDFS, it has many features
>that a modern columnar format has, such as splittable, compression
>schema ,complex data type etc. And CarbonData has following unique
>==== Indexing ====
>In order to support fast interactive query, CarbonData leverage indexing
>technology to reduce I/O scans. CarbonData files stores data along with
>index, the index is not stored separately but the CarbonData file itself
>contains the index. In current implementation, CarbonData supports 3
>types of indexing:
>1. Multi-dimensional Key (B+ Tree index)
>  The Data block are written in sequence to the disk and within each
>data blocks each column block is written in sequence. Finally, the
>metadata block for the file is written with information about byte
>positions of each block in the file, Min-Max statistics index and the
>start and end MDK of each data block. Since, the entire data in the file
>is in sorted order, the start and end MDK of each data block can be used
>to construct a B+Tree and the file can be logically  represented as a
>B+Tree with the data blocks as leaf nodes (on disk) and the remaining
>non-leaf nodes in memory.
>2. Inverted index
>  Inverted index is widely used in search engine. By using this index,
>it helps processing/query engine to do filtering inside one HDFS block.
>Furthermore, query acceleration for count distinct like operation is
>made possible when combining bitmap and inverted index in query time.
>3. MinMax index
>  For all columns, minmax index is created so that processing/query
>engine can skip scan that is not required.
>==== Global Dictionary ====
>Besides I/O reduction, CarbonData accelerates computation by using
>global dictionary, which enables processing/query engines to perform all
>processing on encoded data without having to convert the data (Late
>Materialization). We have observed dramatic performance improvement for
>OLAP analytic scenario where table contains many columns in string data
>type. The data is converted back to the user readable form just before
>processing/query engine returning results to user.
>==== Column Group ====
>Sometimes users want to perform processing/query on multi-columns in one
>table, for example, performing scan for individual record in
>troubleshooting scenario. In this case, row format is more efficient
>than columnar format since all columns will be touched by the workload.
>To accelerate this, CarbonData supports storing a group of column in row
>format, so data in column group is stored together and enable fast
>==== Optimized for multiple use cases ====
>CarbonData indices and dictionary is highly configurable. To make
>storage optimized for different use cases, user can configure what to
>index, so user can decide and tune the format before loading data into
>For example
>|| Use Case || Supporting Features ||
>|| Interactive OLAP query || Columnar format, Multi-dimensional Key (B+
>Tree index), Minmax index, Inverted index ||
>|| High throughput scan || Global dictionary, Minmax index ||
>|| Low latency point query || Multi-dimensional Key (B+ Tree index),
>Partitioning ||
>|| Individual record query || Column group, Global dictionary ||
>=== BigData Processing Framework Integration ===
>  * CarbonData provides InputFormat/OutputFormat interfaces for
>Reading/Writing data from the CarbonData files and at the same time
>provides abstract API for processing data stored as Carbondata format
>with data processing framework.
>  * CarbonData provides deep integration with Apache Spark including
>predicate push down, column pruning, aggregation push down etc. So users
>can use Spark SQL to connect and query from CarbonData.
>  * CarbonData can integrate with various big data Query/Processing
>framework on Hadoop eco-system such as Apache Spark,Apache Hive etc.
>== Initial Goals ==
>Our initial goals are to bring CarbonData into the ASF, transition
>internal engineering processes into the open, and foster a collaborative
>development model according to the "Apache Way".
>== Current Status ==
>CarbonData is production ready and already provide a large set of
>The current license is already Apache 2.0.
>== Meritocracy ==
>We intend to radically expand the initial developer and user community
>by running the project in accordance with the "Apache Way". Users and
>new contributors will be treated with respect and welcomed. By
>participating in the community and providing quality patches/support
>that move the project forward, they will earn merit. They also will be
>encouraged to provide non-code contributions (documentation, events,
>community management, etc.) and will gain merit for doing so. Those with
>a proven support and quality track record will be encouraged to become
>== Community ==
>If CarbonData is accepted for incubation, the primary initial goal is to
>build a large community. We really trust that CarbonData will become a
>key project for big data column-like platforms, and so, we bet on a
>large community of users and developers.
>== Known Risks ==
>Development has been sponsored mostly by a one company.For the project
>to fully transition to the Apache Way governance model, development must
>shift towards the meritocracy-centric model of growing a community of
>contributors balanced with the needs for extreme stability and core
>implementation coherency.
>== Orphaned products ==
>Huawei is fully committed CarbonData. Moreover, Huawei has a vested
>interest in making CarbonData succeed by driving its close integration
>with sister ASF projects. We expect this to further reduces the risk of
>orphaning the product.
>== Inexperience with Open Source ==
>Huawei has been developing and using open source software since a long
>time. Additionally, several ASF veterans agreed to mentor the project
>and are listed in this proposal. The project will rely on their guidance
>and collective wisdom to quickly transition the entire team of initial
>committers towards practicing the Apache Way.
>== Reliance on Salaried Developers ==
>Most of the contributors are paid to work in big data space. While they
>might wander from their current employers, they are unlikely to venture
>far from their core expertises and thus will continue to be engaged with
>the project regardless of their current employers.
>== An Excessive Fascination with the Apache Brand ==
>While we intend to leverage the Apache ‘branding’ when talking to other
>projects as testament of our project’s ‘neutrality’, we have no plans
>for making use of Apache brand in press releases nor posting billboards
>advertising acceptance of CarbonData into Apache Incubator.
>== Initial Source ==
>== External Dependencies ==
>All external dependencies are licensed under an Apache 2.0 license or
>Apache-compatible license. As we grow the Carbondata community we will
>configure our build process to require and validate all contributions
>and dependencies are licensed under the Apache 2.0 license or are under
>an Apache-compatible license.
>  * Apache Spark
>  * Apache Hadoop
>  * Apache Maven
>  * Apache Commons
>  * Apache Log4j
>  * Apache Thrift
>  * Apache Zookeeper
>  * Scala
>  * Snappy
>  * Kettle (Pentaho)
>  * Eigenbase
>  * Fastutil
>  * GSON
>  * Jmockit
>  * Junit
>== Required Resources ==
>=== Mailing lists ===
>  * (moderated subscriptions)
>  *
>  *
>  *
>=== Git Repository ===
>  *
>=== Issue Tracking ===
>  * JIRA Project CarbonData (CarbonData)
>=== Initial Committers ===
>  * Liang Chenliang
>  * Jean-Baptiste Onofré
>  * Henry Saputra
>  * Uma Maheswara Rao G
>  * Jenny MA
>  * Jacky Likun
>  * Vimal Das Kammath
>  * Jarray Qiuheng
>=== Affiliations ===
>  * Huawei: Liang Chenliang
>  * Talend: Jean-Baptiste Onofré
>  * Ebay: Henry Saputra
>  * Intel: Uma Maheswara Rao G
>=== Sponsors ===
>=== Champion ===
>  * Jean-Baptiste Onofré - Apache Member
>=== Mentors ===
>  * Henry Saputra (eBay)
>  * Jean-Baptiste Onofré (Talend)
>  * Uma Maheswara Rao G (Intel)
>=== Sponsoring Entity ===
>The Apache Incubator
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