| commit | 5af85d9ed157ad6f942712ea5e6108ea3f1544e0 | [log] [tgz] |
|---|---|---|
| author | Hussain Towaileb <HussainHT@Gmail.com> | Tue Nov 06 13:12:40 2018 +0300 |
| committer | Dmitry Lychagin <dmitry.lychagin@couchbase.com> | Tue Nov 06 10:41:23 2018 -0800 |
| tree | ee296353181f75802185e9ad2a58b0fd950bc76c | |
| parent | a993e9bf8263481b1c57546cbe58461ef6e0ab5f [diff] |
[ASTERIXDB-2460][FUN] Fix sum() overflow bug - user model changes: yes - storage format changes: no - interface changes: no Details: - Fixed the sum() overflow problem. Now the sum() function will return either bigint or double based on the input types. - Added sum() aggregate local, intermediate and global classes. Currently, it is using the same class for the three steps and checking the type using an if statement. Although the three steps all have a very similar behavior, having them in split classes makes it cleaner and easier to read and maintain in the future. - Added sum() aggregate local, intermediate and global for serialized classes. - Added sum() and serial sum() test cases and modified test cases to cause the reported overflow issue. - Added sum() and serial sum() test cases that cause a Long.MAX_VALUE type overflow. - Valid data type check is now part of the sum calculation to avoid redundant steps. Change-Id: I987417770b3bfbda6af29a27acc8c96dc8a99eb8 Reviewed-on: https://asterix-gerrit.ics.uci.edu/3012 Tested-by: Jenkins <jenkins@fulliautomatix.ics.uci.edu> Contrib: Jenkins <jenkins@fulliautomatix.ics.uci.edu> Integration-Tests: 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 documentation to learn the data model, query language, and how to create a cluster instance.