| commit | fbf3c0a9718941122513ee2ae195e3a6f9df661e | [log] [tgz] |
|---|---|---|
| author | Abdullah Alamoudi <bamousaa@gmail.com> | Thu Nov 02 19:48:09 2017 -0700 |
| committer | Michael Blow <mblow@apache.org> | Fri Nov 03 08:23:18 2017 -0700 |
| tree | 3f4ce840417cb5a1270bf05ee49c4dbed1cbd09f | |
| parent | c04046c11be062c4320ba7e0bbd5258ffb600ad3 [diff] |
[NO ISSUE][STO] Fix memory leaks in storage
- user model changes: no
- storage format changes: no
- interface changes: yes
- Added javadocs to:
-- IBufferCache
-- IExtraPageBlockHelper
- Moved IBufferCache.setPageDiskId -> ICachedPage.setDiskPageId
- Renamed:
-- IBufferCache.flushDirtyPage -> IBufferCache.flush
-- IBufferCache.getNumPages -> IBufferCache.getPageBudget
- Removed:
-- IBufferCache.adviseWontNeed [not used]
-- IBufferCache.tryPin [not used]
details:
- Previously, when adding a kv pair to the metadata of a memory
component, we add a new Pair item to the ArrayList. After
this change, we only update it if it exists.
- VirtualBufferCache used to leak pages when reclaiming pages
of a file after deletion. This has also been fixed.
- New tests for VirtualBufferCache added:
- Checks for memory budget after end of testDisjointPins
- Concurrent Users pinning pages concurrently
- Test for large pages and ensuring allocated large
pages are accounted for through removal of cached
free pages.
Change-Id: I4ae9736c9b5fdba5795245bdf835c023e3f73b15
Reviewed-on: https://asterix-gerrit.ics.uci.edu/2115
Tested-by: Jenkins <jenkins@fulliautomatix.ics.uci.edu>
Contrib: Jenkins <jenkins@fulliautomatix.ics.uci.edu>
Integration-Tests: 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
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 documentations to learn the data model, query language, and how to create a cluster instance.