commit | 709ea795627554fde484d1f0ce33cc10aab2e0cb | [log] [tgz] |
---|---|---|
author | Ali Alsuliman <ali.al.solaiman@gmail.com> | Tue Apr 16 17:56:12 2019 -0700 |
committer | Ali Alsuliman <ali.al.solaiman@gmail.com> | Wed Apr 17 05:24:39 2019 +0000 |
tree | 472c396971df2ac33008fd01f7059f4d6224bd2d | |
parent | 4f87f893b57d617279fda7926328ae5b773777a7 [diff] |
[ASTERIXDB-2516][RT] Prevent passing null type to comparator provider - user model changes: no - storage format changes: no - interface changes: no Details: This change is to disallow passing null as IAType to the comparator provider when asking for a comparator. It also includes few fixes for issues appearing as a result of this change. - changed the generic comparator to check whether the tag of data at runtime is a valid tag and throw an exception if not. - modified the comparator provider to return non-tagged comparator for IAType SHORTWITHOUTINFOTYPE which is a short without tag. SHORTWITHOUTINFOTYPE should not use the generic comparator since the input data has no tag. - fixed Dataset class to consider external dataset when getting the IAType of the primary keys. The primary keys for external datasets are different from regular datasets. They are not part of the record type. Previously, null would be returned. This would cause a failure when getting a comparator for the primary keys of an external dataset since the type passed is null. - fixed the TypeTraitProvider to give the correct lengths for duration, day_time_duration, and year_month_duration. Change-Id: I37767a3f3d1e3b29597d2a4998c0b60005cadb09 Reviewed-on: https://asterix-gerrit.ics.uci.edu/3336 Contrib: Jenkins <jenkins@fulliautomatix.ics.uci.edu> Tested-by: Jenkins <jenkins@fulliautomatix.ics.uci.edu> Integration-Tests: Jenkins <jenkins@fulliautomatix.ics.uci.edu> Reviewed-by: Till Westmann <tillw@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.