commit | 174ee2ad880d513d6bea64493df96c21e01e6b90 | [log] [tgz] |
---|---|---|
author | Ali Alsuliman <ali.al.solaiman@gmail.com> | Fri Jan 27 01:43:10 2023 -0800 |
committer | Michael Blow <mblow@apache.org> | Sat Feb 04 21:58:08 2023 +0000 |
tree | 2a3ed49b319762a6d35132d89f3d060a419c88f6 | |
parent | 8bc2f61b7c55b175e58f4577e824b946b2baa2f8 [diff] |
[ASTERIXDB-3101][COMP] Optimize pushing assign ops down - user model changes: no - storage format changes: no - interface changes: yes Details: One of the things that PushFieldAccessRule attempts to do is push assign operator down as close as possible to the respective data scan operator. The assign operator is pushed recursively through the operators below it one by one until the data scan is reached. This becomes expensive when there is a large number of assigns. In the case where all the operators below the assign operator are other assign operators, the assign operator could be moved directly above the data-scan skipping all the intermediate assign operators. - add default method to IAlgebraicRewriteRule to allow the rules to know if they are about to rewrite a nested plan root. Optimize ExtractCommonExpressionsRule since the current traversal of operators becomes expensive with a large number of operators. - optimize ExtractCommonExpressionsRule to work on only roots of plans since the implementation descends to children recursively. check if the operator was already rewritten after descending to the children to allow post order traversal from the root. Change-Id: I035b72089f973bb08dccf5f9305f8b06da7fc458 Reviewed-on: https://asterix-gerrit.ics.uci.edu/c/asterixdb/+/17316 Integration-Tests: Jenkins <jenkins@fulliautomatix.ics.uci.edu> Tested-by: Jenkins <jenkins@fulliautomatix.ics.uci.edu> Reviewed-by: Michael Blow <mblow@apache.org> (cherry picked from commit 964ff7be6d2c026704001bd00430ae3a78bc66f6) Reviewed-on: https://asterix-gerrit.ics.uci.edu/c/asterixdb/+/17245 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
An expressive and declarative query language (SQL++ that supports 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.
To generate the documentation, run asterix-doc with the generate.rr profile in maven, e.g mvn -Pgenerate.rr ...
Be sure to run mvn package
beforehand or run mvn site
in asterix-lang-sqlpp to generate some resources that are used in the documentation that are generated directly from the grammar.