| commit | 272a180c91c3b1afb12189c6cf7320ee313a9b03 | [log] [tgz] |
|---|---|---|
| author | Murtadha Hubail <mhubail@apache.org> | Mon Jul 15 17:34:53 2019 +0300 |
| committer | Murtadha Hubail <mhubail@apache.org> | Fri Jul 19 00:11:38 2019 +0000 |
| tree | c3fd4a08a47535f1225e86297eba38dce8e6bb89 | |
| parent | 0561d1072b6a217816b5c9564ccc0ae84a931a5c [diff] |
[NO ISSUE][STO] Tolerate Corrupted System Checkpoint Files - user model changes: no - storage format changes: no - interface changes: no Details: - Do not delete corrupted checkpoint files until a valid checkpoint is persisted. This ensure a forged checkpoint that will force recovery to start from the begining is always used until a valid checkpoint is found. - Attempt to read the latest checkpoint file right after writing it and before attempting cleaning up invalid and old checkpoint files. - Use on disk files to determine next checkpoint id to account for existing corrupted checkpoints. - Maintain two older checkpoint files in addition to the latest one. - Catch all exceptions on checkpointing failures since it is a try operation. - Add test scenairo for the new checkpoints clean up behavior. Change-Id: Iea689f5a644351491d9748273bb2158e8179f54d Reviewed-on: https://asterix-gerrit.ics.uci.edu/3496 Tested-by: Jenkins <jenkins@fulliautomatix.ics.uci.edu> Integration-Tests: Jenkins <jenkins@fulliautomatix.ics.uci.edu> Reviewed-by: Murtadha Hubail <mhubail@apache.org> 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/ $./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.