| commit | 6d1c0f7d08a4b5b48fbc71b3fb13113faeb974a2 | [log] [tgz] |
|---|---|---|
| author | Ali Alsuliman <ali.al.solaiman@gmail.com> | Mon Apr 08 23:58:00 2019 -0700 |
| committer | Ali Alsuliman <ali.al.solaiman@gmail.com> | Tue Apr 09 12:30:37 2019 -0700 |
| tree | e584a66d398129124880e35e657de0476d83cca2 | |
| parent | 618bd05dc9e878aaf1c2e7a688aee71465e9dec1 [diff] |
[ASTERIXDB-2516][RT] Modifty range map function of parallel sort - user model changes: no - storage format changes: no - interface changes: no Details: Currently, the range map function of parallel sort passes "null" to get a comparator to sort the samples and produce the range map. The comparator provider will enforce providing a type and prevent passing "null". The range map function needs to be updated to get the types of the sort fields and use them to get comparators. - changed the output type of the local sampling function from list of list of ANY to binary. The old type computer was removed. - added null writer aggregate function that just produces null as an aggregate value. this is needed in order to propagate the type of the sort fields from the local step to the global step so that the range map function can know the types of the sort fields. Change-Id: I7edbb10906cc4464210af87a5b1630ba3aecbde0 Reviewed-on: https://asterix-gerrit.ics.uci.edu/3333 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: Dmitry Lychagin <dmitry.lychagin@couchbase.com>
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.