| commit | b844fd97388c7c3dc85e96a7890f120e72d15858 | [log] [tgz] |
|---|---|---|
| author | Dmitry Lychagin <dmitry.lychagin@couchbase.com> | Tue Sep 14 22:15:08 2021 -0700 |
| committer | Dmitry Lychagin <dmitry.lychagin@couchbase.com> | Fri Sep 17 23:10:14 2021 +0000 |
| tree | 851071e5bcd0c9c9f9b2d11b5621c26c503e3713 | |
| parent | 380dbadea669c0fb9bbabce7becf749943117d29 [diff] |
[NO ISSUE] Make DATETIME and TIME types represent local time - user model changes: yes - storage format changes: no - interface changes: no Details: - Change DATETIME and TIME data types so they represent local time without time zone information - Add day_of_year() and week_of_year() functions - Change day_of_week() function to return 1 for Sunday instead of 7 - Introduce 2nd optional parameter for day_of_week() function that defines beginning of the week - Introduce 2nd optional parameter for to/from-unix-time family of functions that specifies which timezone must be used for time conversion - Make current_date/time functions stable, they return job start time - Introduce current_date/time_immediate functions that return system clock time and are not stable - Add new format specifiers to datetime printing functions: Q (quarter), MMMM (full month) and DDD (day of the year) - Add/update testcases and documentation Change-Id: I5f065eb5d04d1929a6c833bdf6a75ac13824b046 Reviewed-on: https://asterix-gerrit.ics.uci.edu/c/asterixdb/+/13245 Reviewed-by: Ian Maxon <imaxon@uci.edu> Integration-Tests: Jenkins <jenkins@fulliautomatix.ics.uci.edu> Tested-by: Jenkins <jenkins@fulliautomatix.ics.uci.edu>
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
An expressive and declarative query language (SQL++ that supports 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:19006
Read more documentation to learn the data model, query language, and how to create a cluster instance.
To generate the documentation, run asterix-doc with the generate.rr profile in maven, e.g mvn -Pgenerate.rr ... Be sure to run mvn package beforehand or run mvn site in asterix-lang-sqlpp to generate some resources that are used in the documentation that are generated directly from the grammar.