AsterixDB: AsterixDB is a BDMS (Big Data Management System) with a rich feature set that sets it apart from other Big Data platforms. Its feature set makes it well-suited to modern needs such as web data warehousing and social data storage and analysis.

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asterixdb

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<a href="http://asterixdb.apache.org"><img src="http://asterixdb.apache.org/img/asterixdb_tm.png" height=100></img></a>

## What is AsterixDB?

AsterixDB is a BDMS (Big Data Management System) with a rich feature set that sets it apart from other platforms. Its feature set makes it well-suited to modern needs such as web data warehousing and social data storage and analysis. AsterixDB has:

- __Data model__ 
A semistructured NoSQL style data model ([ADM](https://nightlies.apache.org/asterixdb/datamodel.html)) resulting from
extending JSON with object database ideas

- __Query languages__ 
An expressive and declarative query language ([SQL++](http://asterixdb.apache.org/docs/0.9.9/sqlpp/manual.html) that supports a broad range of queries and analysis over semistructured data

- __Scalability__ 
A parallel runtime query execution engine, Apache Hyracks, that has been scale-tested on up to 1000+ cores and 500+ disks

- __Native storage__ 
Partitioned, flexible LSM-based row and column storage, with indexing to support efficient ingestion and management of semistructured data

- __External storage__ 
Support for query access to externally stored data (e.g., data in HDFS) as well as to data stored natively by AsterixDB

- __Data types__ 
A rich set of primitive data types, including spatial and temporal data in addition to integer, floating point, and textual data

- __Indexing__ 
Secondary indexing options that include B+ trees, R trees, and inverted keyword (exact and fuzzy) index types

- __Transactions__ 
Basic transactional (concurrency and recovery) capabilities akin to those of a NoSQL store

Learn more about AsterixDB at its [website](http://asterixdb.apache.org).

## Build from source

To build AsterixDB from source, you should have a platform with the following:

* A Unix-ish environment (Linux, OS X, will all do).
* git
* Maven 3.3.9 or newer.
* JDK 21 or newer.
* Python 3.11+ with pip and venv

Instructions for building the master:

* Checkout AsterixDB master:

$git clone https://github.com/apache/asterixdb.git

* Build AsterixDB master:

$cd asterixdb
 $mvn clean package -DskipTests

## Run the build on your machine
Here are steps to get AsterixDB running on your local machine:

* Start a single-machine AsterixDB instance:

$cd asterixdb/asterix-server/target/asterix-server-*-binary-assembly/apache-asterixdb-*-SNAPSHOT
 $./opt/local/bin/start-sample-cluster.sh

* Good to go and run queries in your browser at:

http://localhost:19006

* Read more [documentation](https://nightlies.apache.org/asterixdb/index.html) to learn the data model, query language, and how to create a cluster instance.

## Documentation

To generate the documentation, run asterix-doc with the generate.rr profile in maven, e.g `mvn -Pgenerate.rr ...`
Be sure to run `mvn package` beforehand or run `mvn site` in asterix-lang-sqlpp to generate some resources that
are used in the documentation that are generated directly from the grammar.

* [master](https://nightlies.apache.org/asterixdb/index.html) |
 [0.9.9](http://asterixdb.apache.org/docs/0.9.9/index.html) |
 [0.9.8](http://asterixdb.apache.org/docs/0.9.8/index.html) |
 [0.9.7](http://asterixdb.apache.org/docs/0.9.7/index.html) |

## Community support

- __Users__
maling list: [users@asterixdb.apache.org](mailto:users@asterixdb.apache.org)
Join the list by sending an email to [users-subscribe@asterixdb.apache.org](mailto:users-subscribe@asterixdb.apache.org)
- __Developers and contributors__
mailing list:[dev@asterixdb.apache.org](mailto:dev@asterixdb.apache.org)
Join the list by sending an email to [dev-subscribe@asterixdb.apache.org](mailto:dev-subscribe@asterixdb.apache.org)

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简介

AsterixDB is a BDMS (Big Data Management System) with a rich feature set that sets it apart from other Big Data platforms. Its feature set makes it well-suited to modern needs such as web data warehousing and social data storage and analysis.

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