| commit | 695605d0ea7b13b406b3302a476782a9ed4e4c75 | [log] [tgz] |
|---|---|---|
| author | Peeyush Gupta <peeyush.gupta@couchbase.com> | Fri Jul 14 12:59:49 2023 -0700 |
| committer | Peeyush Gupta <peeyush.gupta@couchbase.com> | Mon Jul 24 22:56:17 2023 +0000 |
| tree | 897bcdd9273993da395635a88c9a05590d780691 | |
| parent | 498eb1f0739244cea293819f8773ed0ca8b69e4a [diff] |
[NO ISSUE][TX]: Multiple fixes to atomic statements - user model changes: no - storage format changes: no - interface changes: no Details: - Correctly computes partition count in case of parallel execution. - Correctly computes node count in case of a node group is used. - Fix for the case when a job prepared message is recieved after the transaction is aborted. - Job commit message is sent in commitTransaction method. This makes sure that the commit messages are sent only after the job was successfull. - Fix for the case when job is aborted/cancelled after flushes are scheduled on atomic datasets but are not finished. Change-Id: Ieb029d6273f19fa4bd0e7edfb8897f894c1f5b6e Reviewed-on: https://asterix-gerrit.ics.uci.edu/c/asterixdb/+/17643 Integration-Tests: Jenkins <jenkins@fulliautomatix.ics.uci.edu> Tested-by: 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
An expressive and declarative query language (SQL++ that supports 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:19006
Read more documentation to learn the data model, query language, and how to create a cluster instance.
To generate the documentation, run asterix-doc with the generate.rr profile in maven, e.g mvn -Pgenerate.rr ... Be sure to run mvn package beforehand or run mvn site in asterix-lang-sqlpp to generate some resources that are used in the documentation that are generated directly from the grammar.