| commit | 5aeba9b475fc714edf953bd88ada7281a2d4937e | [log] [tgz] |
|---|---|---|
| author | Wail Alkowaileet <wael.y.k@gmail.com> | Tue Nov 06 18:52:34 2018 -0800 |
| committer | Wail Alkowaileet <wael.y.k@gmail.com> | Tue Nov 06 23:12:28 2018 -0800 |
| tree | 74794798ce64e0b12793d0b44b71b893c38eadda | |
| parent | 8076fe97d16d9b2774718739dc39b4961c3b8ea2 [diff] |
[ASTERIXDB-2422][STO] Introduce compressed storage
- user model changes: yes
- Add new configuration in the with-caluse to enable compression
- Add new nc configuration in the config file
- storage format changes: yes
- Pages of the primary index can be compressed
- Add a companion file (Look Aside File) with the compressed index
- Allow optional values in the LocalResource
- Add compression information in Metadata.Dataset
- interface changes: yes
- ICCApplicationContext:
- Add getCompressionManager()
- IBufferCache:
- Add getCompressedFileWriter(int fileId)
- ICachedPageInternal:
- Add setCompressedPageOffset(long offset)
- Add getCompressedPageOffset()
- Add setCompressedPageSize(int size)
- Add getCompressedPageSize()
Details:
- Add new integration test for this patch
- Fix ASTERIXDB-2464
- Add ddl-with-clause type validator
Additional details in the design document:
https://cwiki.apache.org/confluence/display/ASTERIXDB/Compression+in+AsterixDB
Change-Id: Idde6f37c810c30c7f1a5ee8bcbc1e3e5f4410031
Reviewed-on: https://asterix-gerrit.ics.uci.edu/2857
Sonar-Qube: Jenkins <jenkins@fulliautomatix.ics.uci.edu>
Tested-by: Jenkins <jenkins@fulliautomatix.ics.uci.edu>
Integration-Tests: Jenkins <jenkins@fulliautomatix.ics.uci.edu>
Contrib: Jenkins <jenkins@fulliautomatix.ics.uci.edu>
Reviewed-by: Murtadha Hubail <mhubail@apache.org>
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. AsterixDB has:
Data model
A semistructured NoSQL style data model (ADM) resulting from extending JSON with object database ideas
Query languages
Two expressive and declarative query languages (SQL++ and AQL) that support 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 LSM-based data storage and 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.
To build AsterixDB from source, you should have a platform with the following:
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
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/ $./opt/local/bin/start-sample-cluster.sh
Good to go and run queries in your browser at:
http://localhost:19001
Read more documentation to learn the data model, query language, and how to create a cluster instance.