| commit | 300109850876e4568748eb06971ad6abc4b42969 | [log] [tgz] |
|---|---|---|
| author | Ali Alsuliman <ali.al.solaiman@gmail.com> | Tue Feb 26 17:28:28 2019 -0800 |
| committer | Ali Alsuliman <ali.al.solaiman@gmail.com> | Wed Feb 27 13:32:29 2019 -0800 |
| tree | e59405c7c209ed5b9099f0fe8ccbc3dba7485063 | |
| parent | 19b48f56b11f2d88aa08ac55f813b1a7e08ba6be [diff] |
[ASTERIXDB-2516][RT] prepare physical comparators for deep comparison - user model changes: no - storage format changes: no - interface changes: yes Details: This change is to make physical comparators type-aware in order to do deep comparison of complex types like arrays and records. The IAType is propagated to the comparators. - added new methods in IBinaryComparatorFactoryProvider to accept the type of left and right inputs for operations like hash join where the join key types come from different dataset sources. - defaulted some arrays functions to use the old comparator behaviour temporarily until complex comparison is implemented - modified AObjectAscBinaryComparatorFactory & AObjectDescBinaryComparatorFactory to create a comparator with IAType information. Changed the serialization/deserialization of their instances to take care of the newly added fields since they are not present in old instances. Change-Id: I02011e7151398d5f5f9ba9c1e1db6518484b9fe5 Reviewed-on: https://asterix-gerrit.ics.uci.edu/3229 Integration-Tests: Jenkins <jenkins@fulliautomatix.ics.uci.edu> Tested-by: Jenkins <jenkins@fulliautomatix.ics.uci.edu> Contrib: Jenkins <jenkins@fulliautomatix.ics.uci.edu> Reviewed-by: Dmitry Lychagin <dmitry.lychagin@couchbase.com> Reviewed-by: Till Westmann <tillw@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/apache-asterixdb-*-SNAPSHOT $./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.