| commit | ef1719e3eac51eb659eb0ebae3584d25dea85189 | [log] [tgz] |
|---|---|---|
| author | Dmitry Lychagin <dmitry.lychagin@couchbase.com> | Fri Dec 15 08:33:07 2017 -0800 |
| committer | Dmitry Lychagin <dmitry.lychagin@couchbase.com> | Fri Dec 15 17:28:40 2017 -0800 |
| tree | cbe24abf6f997211514eac16e8fc2ca6fdab37b2 | |
| parent | ed503080786d6ab0694b68b0965f18edad9ceaa5 [diff] |
[ASTERIXDB-2170][SQL] Fix resolution order of implicit field access - user model changes: yes - storage format changes: no - interface changes: no Details: - Improved name resolution rules - Resolve field access to the nearest variable in scope instead of raising compile-time error - Do not rely on type information when resolving names - Cleanup group variable handling in GroupBy clause, no longer use ‘with’ map for it - Fix ByNameToByIndexFieldAccessRule to use type environment of its input operator when analyzing its expression - Fix ExternalGroupByPOperator to use input schema of its aggregate function when generating runtime for that function - Fix invalid free variable computation for GroupBy clause Change-Id: I50bc823ff53da06507a5454b30f4f500b862d4bf Reviewed-on: https://asterix-gerrit.ics.uci.edu/2207 Integration-Tests: Jenkins <jenkins@fulliautomatix.ics.uci.edu> Tested-by: 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/ $./opt/local/bin/start-sample-cluster.sh
Good to go and run queries in your browser at:
http://localhost:19001
Read more documentations to learn the data model, query language, and how to create a cluster instance.