| commit | 87411c22cc30fb425a4839b20b3a259f28d1ef79 | [log] [tgz] |
|---|---|---|
| author | Abdullah Alamoudi <bamousaa@gmail.com> | Thu Aug 24 08:51:03 2017 -0700 |
| committer | abdullah alamoudi <bamousaa@gmail.com> | Thu Aug 24 11:09:08 2017 -0700 |
| tree | 493feaf9e8d5759f82a23562099f69a196dd7aa0 | |
| parent | 5eb13036dc62840394e5dbb732194a6240199e33 [diff] |
[ASTERIXDB-2058][HYR] Only Complete job cancellation after cleanup - user model changes: no - storage format changes: no - interface changes: yes --IJobManager.cancel now takes a callback details: - Job cancellation now completes only after the job cleanup work has completed and not merely when the abort tasks are executed. - The NCQueryServiceServlet actively cancels requests that passes 5 minutes. - Cancellation of timedout jobs is not done through the Http API but through message broker. - Typically, requests might timeout when the servers are overloaded. When that is the case, there is a high chance http requests are to be rejected including requests to cancel previously submitted queries. This is the reason for using Message broker for this task. - ExecuteStatementRequest used to execute the statement in a different executor thread even though it is itself is being executed in an executor thread and is not blocking anyone. This was fixed as well. Change-Id: I14b4bbd512cc88e489254d8bf82edba0fd3a3db5 Reviewed-on: https://asterix-gerrit.ics.uci.edu/1961 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: 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/ $./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.