| commit | 9e40244ef7ae839f422c87762a7a99e5988706b4 | [log] [tgz] |
|---|---|---|
| author | Dmitry Lychagin <dmitry.lychagin@couchbase.com> | Wed Jul 22 08:10:58 2020 -0700 |
| committer | Dmitry Lychagin <dmitry.lychagin@couchbase.com> | Wed Jul 22 23:51:35 2020 +0000 |
| tree | 457b7b7b61e1dedaa27d5f269ff0a96b404bb378 | |
| parent | 6e4213bb3aac91552835927f8f171a8ef87ab614 [diff] |
[NO ISSUE][COMP] Support dropping dataverse only if it's empty - user model changes: no - storage format changes: no - interface changes: no Details: - Add ifEmpty flag to DataverseDropStatement to indicate that the dataverse must be dropped only if it does not contain any objects. This flag is currently not supported in the grammar, but may be used by product extensions. - Add validateDataverseStateBeforeDrop() method that is called before a dataverse is about to be dropped. It may be used by product extensions to perform additional checks before dropping the dataverse. - Refactor handleCreateIndexStatement() to align with other handle*() methods (acquires locks, then calls doCreateIndex()). - Ensure that all doDrop*() methods return a boolean value indicating whether the entity was actually dropped. Change-Id: I86aca8ab02cf1bf0e0600237d3e2f71293166b08 Reviewed-on: https://asterix-gerrit.ics.uci.edu/c/asterixdb/+/7204 Integration-Tests: Jenkins <jenkins@fulliautomatix.ics.uci.edu> Tested-by: Jenkins <jenkins@fulliautomatix.ics.uci.edu> Reviewed-by: Dmitry Lychagin <dmitry.lychagin@couchbase.com> Reviewed-by: Ali Alsuliman <ali.al.solaiman@gmail.com>
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:19006
Read more documentation to learn the data model, query language, and how to create a cluster instance.