On May 25, 2016, at 4:24 PM, Jean-Baptiste Onofré <j...@nanthrax.net> 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:
https://wiki.apache.org/incubator/CarbonDataProposal
Thanks !
Regards
JB
= Apache CarbonData =
== Abstract ==
Apache CarbonData is a new Apache Hadoop native file format for faster
interactive
query using advanced columnar storage, index, compression and encoding
techniques
to improve computing efficiency, in turn it will help speedup queries an order
of
magnitude faster over PetaBytes of data.
CarbonData github address: https://github.com/HuaweiBigData/carbondata
== 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 fields.
* Fast data loading speed and support incremental load in period of minutes.
* 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 CarbonData.
== Rationale ==
CarbonData contains multiple modules, which are classified into two categories:
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 features:
==== 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 retrieval.
==== 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 CarbonData.
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.
Example:
https://github.com/HuaweiBigData/carbondata/blob/master/examples/src/main/scala/org/carbondata/examples/CarbonExample.scala
== 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 features.
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 committers.
== 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 ==
https://github.com/HuaweiBigData/carbondata.git
== 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 ===
* priv...@carbondata.incubator.apache.org (moderated subscriptions)
* comm...@carbondata.incubator.apache.org
* d...@carbondata.incubator.apache.org
* iss...@carbondata.incubator.apache.org
=== Git Repository ===
* https://git-wip-us.apache.org/repos/asf/incubator-carbondata.git
=== 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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