commit | 77450e6a1ad081d2dc2d00b2847f45d8b9a407e5 | [log] [tgz] |
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author | Ali Alsuliman <ali.al.solaiman@gmail.com> | Wed Jun 05 18:44:09 2019 -0700 |
committer | Ali Alsuliman <ali.al.solaiman@gmail.com> | Thu Jun 06 21:25:22 2019 +0000 |
tree | 4fa59c6eb557a1448cf850b57e1a50578f289b40 | |
parent | cdcb9235ae6d1e6d66d4c6d57de5098090e3996c [diff] |
[ASTERIXDB-2574][COMP] Fix min/max functions - user model changes: no - storage format changes: no - interface changes: no This change is mainly for 2 things. The first thing is to not throw an exception when the type of the aggregated field is invalid for min/max (e.g. record or rectange) or min/max get incompatible data like string and int. The result in this case would be NULL. The second thing is to enable comparing ARRAYs correctly by using logical comparison. When a partition runs into type invalidity, it will output NULL. The global aggregator interprets NULL received from a partition as type invalidity and outputs NULL as the final result. Both SQL and SQL++ will do that. Special treatment is needed for scalar and distinct version of SQL since SQL min/max ignores NULL values and continue aggregation and the scalar and distinct version of SQL are normally setup as a global aggregator since they behave like the global aggregator in a two-step aggregation. Currently, there is only a local min and max functions. The other min/max functions are used for everything, the global function of two-step aggregation, and for scalar and distinct min/max. In order to differentiate, a global min/max functions are added that will be used for the two-step aggregation. Details: - fixed listify to open up elements when adding them to the collection and the collection item type is of type ANY and changed the type inferer of listify to enable that. - fixed AbstractCollectionType to make sure itemType is never null. - changed MinMaxAggTypeComputer to not throw an exception but return NULL for invalid types. - changed min/max descriptors to implement inferer to propagate the type of the field and pass that when getting a comparator. - switched min/max comparison to the logical comparison. - refactored method inequalityUndefined to be shared by logical comparison and min/max functions. - added global max/min functions to enable differentiating between scalar min/max, distinct min/max and two-step min/max (global & local). - code clean-up for LogicalScalarBinaryComparator; created two INSTANCES and re-used. Change-Id: I1231cfe558099d167bae0b2fa7fc4879b756baf0 Reviewed-on: https://asterix-gerrit.ics.uci.edu/3427 Contrib: Jenkins <jenkins@fulliautomatix.ics.uci.edu> Tested-by: Jenkins <jenkins@fulliautomatix.ics.uci.edu> Integration-Tests: Jenkins <jenkins@fulliautomatix.ics.uci.edu> Reviewed-by: Dmitry Lychagin <dmitry.lychagin@couchbase.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:19001
Read more documentation to learn the data model, query language, and how to create a cluster instance.