| commit | aa0f9a9338e7ded2b2c519e6dd9d24c7c078bb0c | [log] [tgz] |
|---|---|---|
| author | Murtadha Hubail <mhubail@apache.org> | Thu May 21 21:29:46 2020 +0300 |
| committer | Murtadha Hubail <mhubail@apache.org> | Wed Feb 10 19:16:42 2021 +0000 |
| tree | 571fe5583a547981c47a94725496c513337c05ef | |
| parent | dc12fc01407314eefe40e2296fb840d9d2d2d8d7 [diff] |
[ASTERIXDB-2738][STO] Create Mask File Before Merge Operations - user model changes: no - storage format changes: no - interface changes: no Details: - Before starting a merge operation, create a mask file (.mask_C_startSeq_endSeq) for the merged component to indicate that this component isn't valid yet. - On the merge operation successful completion, delete the merged component mask file. - In the case of any unexpected failure during the merge operation, all files of the failed merged component will be deleted on node startup/shutdown, including the mask file. - Halt on any IO opeartion failure. - Add a test case that ensures only masked merged components are deleted but not the original components that were supposed to be merged. (cherry picked from commit fe0f6fa181b03195cda8ff3585734ce10f466467) Change-Id: I7c07daf033c5a1a00bd1b33debc8a4d7c7ce1e59 Reviewed-on: https://asterix-gerrit.ics.uci.edu/c/asterixdb/+/9964 Integration-Tests: Jenkins <jenkins@fulliautomatix.ics.uci.edu> Tested-by: Jenkins <jenkins@fulliautomatix.ics.uci.edu> Reviewed-by: Murtadha Hubail <mhubail@apache.org> 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.