| commit | ac6543ff3fc252e14291810d8682660f2990fa18 | [log] [tgz] |
|---|---|---|
| author | Ian Maxon <ian@maxons.email> | Fri Mar 19 20:17:55 2021 -0700 |
| committer | Ian Maxon <imaxon@uci.edu> | Thu Mar 25 07:37:10 2021 +0000 |
| tree | de81a8803035f1d717f8b6a37e3332223a21410a | |
| parent | e60e6fd65d205e90da9d5a62cc2286a93d26e1a5 [diff] |
[ASTERIXDB-2838][RT][FUN] Batched PyUDF calls - user model changes: no - storage format changes: no - interface changes: no Details: - Implement the runtime for batched calls of Python UDFs - Fix and improve the stdin reading of the Python UDF wrapper - Check if the Python UDF process is still alive while waiting on results - Pull nullCall through function info to properly deal with it - Properly handle calls to multiple functions in one library. - Properly handle null/missing - Fix calling top level functions in Python - Fix recieve buffer growth - Fix resource leaks Change-Id: I5af4da999985afcc33cdfacea79576f1d6109173 Reviewed-on: https://asterix-gerrit.ics.uci.edu/c/asterixdb/+/10187 Reviewed-by: Ian Maxon <imaxon@uci.edu> Reviewed-by: Dmitry Lychagin <dmitry.lychagin@couchbase.com> Contrib: Ian Maxon <imaxon@uci.edu> Integration-Tests: Jenkins <jenkins@fulliautomatix.ics.uci.edu> Tested-by: Jenkins <jenkins@fulliautomatix.ics.uci.edu>
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.
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.