| commit | 8c4dc247c66593b0377e9468e0782d3991239e4f | [log] [tgz] |
|---|---|---|
| author | Ali Alsuliman <ali.al.solaiman@gmail.com> | Tue Jul 30 01:04:36 2019 -0700 |
| committer | Ali Alsuliman <ali.al.solaiman@gmail.com> | Wed Jul 31 18:02:57 2019 +0000 |
| tree | 5185817a88bbd3cf3ff7f6002cb05207984d17d2 | |
| parent | 7689fa8f6a054494cbdc2a90bc92c678b5852a75 [diff] |
[ASTERIXDB-2615][*DB] Enable constant folding rule to determine when to fold - user model changes: no - storage format changes: no - interface changes: no Details: Currently, some functions are excluded from being evaluated at compile time in constant folding rule. Those functions are maintained in a set. The reason for excluding them is because they can produce records/lists in their "open" format and constant folding them will make them "closed" which would lead to incorrect results. Any time a new function is implemented, the developer would have to pay attention and add their functions if they should be excluded, too. The exclusion set should be removed. The constant folding rule should determine from the output type of the function whether it can/should be folded or not. - fixed an issue with StaticTypeCastUtil where it would not open up a field when that field's value is a function call. - modified casting items of lists to avoid casting open the item when it is already in the opened up format. - modified the type computer of object_remove_fields to handle constant arguments (the 2nd argument which is the name of the fields) since the argument can be constant folded now. - modified field-access-by-index to handle evaluating it at compile time (by constant folding rule) in the case where the object accessed is missing (or non-object) Change-Id: I3964aa8accaaae3b4c5c7ddf928e6cbd73d517f6 Reviewed-on: https://asterix-gerrit.ics.uci.edu/3509 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: Ali Alsuliman <ali.al.solaiman@gmail.com> 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.