| commit | ddff76e4cf2da02d4100555d228371958d76dbc2 | [log] [tgz] |
|---|---|---|
| author | Ali Alsuliman <ali.al.solaiman@gmail.com> | Sun Jul 14 15:19:27 2019 -0700 |
| committer | Ali Alsuliman <ali.al.solaiman@gmail.com> | Wed Jul 17 22:27:21 2019 +0000 |
| tree | 9199f6a4cb94a9ef732923e40d38916740ef0aa5 | |
| parent | 2bf5babd9aed9362aa2eed75e1c5b5d90cb878a8 [diff] |
[ASTERIXDB-2610][RT][*DB] Improve deep comparison runtime - user model changes: no - storage format changes: no - interface changes: yes Details: Avoid data copies during comparison (no visitable pointables). Allow comparison of non-tagged values to avoid copying the tag when accessing an array element or record field. - added TaggedValueReference. - changed ILogicalBinaryComparator to use TaggedValueReference instead of IPointable. - removed numberOfItems() from ListAccessorUtil and used AOrderedListSerializerDeserializer.getNumberOfItems(). - removed storage & IPointable pools from AbstractAGenericBinaryComparator & LogicalComplexBinaryComparator and used TaggedValueReference pool. - removed compareNumbers() from ComparatorUtil since IPointable's have been replaced with TaggedValueReference. - adapted record comparison logic in LogicalComplexBinaryComparator to match the logic in the physical comparator. Change-Id: Id9ece93c704f566d7bdb7fd17b1ba92713c917d5 Reviewed-on: https://asterix-gerrit.ics.uci.edu/3466 Contrib: Jenkins <jenkins@fulliautomatix.ics.uci.edu> Tested-by: Jenkins <jenkins@fulliautomatix.ics.uci.edu> Integration-Tests: Jenkins <jenkins@fulliautomatix.ics.uci.edu> Reviewed-by: Ali Alsuliman <ali.al.solaiman@gmail.com> 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.