| commit | f7bc6c1cda0176d9f88651b71b57dc88afada78c | [log] [tgz] |
|---|---|---|
| author | Dmitry Lychagin <dmitry.lychagin@couchbase.com> | Mon Jun 01 18:19:44 2020 -0700 |
| committer | Dmitry Lychagin <dmitry.lychagin@couchbase.com> | Tue Jun 02 05:32:18 2020 +0000 |
| tree | 07680d04036580e0d31b7add278086e4cf860dd1 | |
| parent | 9d46959b41fbe1532f33ca23cc5051526a644c86 [diff] |
[NO ISSUE] Improve handling of udf parameter/return types - user model changes: yes - storage format changes: no - interface changes: no Details: - Prohibit parameter/return type specification for inline udfs - Prohibit parameter/return type quantifier (?) for external udfs - Allow external udfs to refer to types from other dataverses - Do not store type quantifiers in udf metadata - Align names of anonymous types automatically created by QueryTranslator for datasets and udfs - Reserve user-defined type names starting from '$' for system use - Add testcases - Prohibit UdfServlet operations if cluster is not active - Return correct path from IOManager.getWorkspacePath() - Test framework: support multiple commands in .lib.sqlpp files - Remove CC files when deleting old instance data in AsterixHyracksIntegrationUtil Change-Id: I09bdfd8c7b26750d12339034d2143a16102d1212 Reviewed-on: https://asterix-gerrit.ics.uci.edu/c/asterixdb/+/6545 Integration-Tests: Jenkins <jenkins@fulliautomatix.ics.uci.edu> Tested-by: 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:19006
Read more documentation to learn the data model, query language, and how to create a cluster instance.