| commit | 1041389b66a7473ee69001489253a25a9affe352 | [log] [tgz] |
|---|---|---|
| author | Murtadha Hubail <mhubail@apache.org> | Sat Feb 02 01:40:24 2019 +0300 |
| committer | Murtadha Hubail <mhubail@apache.org> | Sun Feb 03 02:03:45 2019 -0800 |
| tree | 8327050a13cbaa6c057349ce0f73cdd42854b95e | |
| parent | 0615d611330786889b2ee2df376fcc98bec8fa28 [diff] |
[ASTERIXDB-2513][FUN] Add Active_Requests Function
- user model changes: no
- storage format changes: no
- interface changes: yes
Details:
- Add a datasource function (active_requests) which
returns the active jobs that the user specified
client_context_id for.
- This function runs on a single NC and uses messaging
to get the currently running jobs from CC.
- Currently, the function returns the following fields:
-- clientContextId: the user specified clientContextId.
-- requestTime: a timestamp at which the request reference
was created.
-- jobId: optionally, the job id that belongs to this request.
- The function may be improved later to return all jobs and it may
return additional fields such as (request uuid, statement,
executionTime, elapsedTime, nodeAddress, userAgent, etc..)
- Add test case.
- Do not allow cancellation test to cancel queries with
clientContextId to avoid intermittent failures.
Change-Id: I95962742161ed18c4cf2e09c8541c8ad3b35356c
Reviewed-on: https://asterix-gerrit.ics.uci.edu/3136
Sonar-Qube: Jenkins <jenkins@fulliautomatix.ics.uci.edu>
Integration-Tests: Jenkins <jenkins@fulliautomatix.ics.uci.edu>
Tested-by: Jenkins <jenkins@fulliautomatix.ics.uci.edu>
Contrib: Jenkins <jenkins@fulliautomatix.ics.uci.edu>
Reviewed-by: Michael Blow <mblow@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.