| commit | aad7835c866ebabf03c46dabf8946a4da65fe8cc | [log] [tgz] |
|---|---|---|
| author | Ali Alsuliman <ali.al.solaiman@gmail.com> | Wed Mar 20 10:34:28 2019 -0700 |
| committer | Ali Alsuliman <ali.al.solaiman@gmail.com> | Thu Mar 21 10:00:56 2019 -0700 |
| tree | fccc420179f683b46125ae3fa00af33b1eb95d86 | |
| parent | fe90189b68b19a8029f33f4788102962d5c1b292 [diff] |
[ASTERIXDB-2516][COMP] Avoid writing field names & values when comparing records - user model changes: no - storage format changes: no - interface changes: no Details: ARecordVisitablePointable writes field names, field tags, and field values first before giving access to the record information. This is not ideal for comparison. A different record accessor is needed for comparison. Also, the field names should be sorted which ARecordVisitablePointable does not provide. - avoid this writing when a pointable to the name & value can be obtained (especially when the field value already includes the tag) - use UTF8Pointable cached values (string length, meta length) to compare instead of using the string comparator which would recalculate these values - refactored some common code. - removed not used methods in ARecordPointable Change-Id: I19ac95a91749b2983bf06f763e463521a97a261c Reviewed-on: https://asterix-gerrit.ics.uci.edu/3280 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: 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/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.