| commit | 5e9538b09dd13f79fb6e49a180c0f63a18b8d76b | [log] [tgz] |
|---|---|---|
| author | Ali Alsuliman <ali.al.solaiman@gmail.com> | Thu Apr 23 21:08:44 2020 -0700 |
| committer | Ali Alsuliman <ali.al.solaiman@gmail.com> | Mon Apr 27 00:57:18 2020 +0000 |
| tree | 1eb604a9fffd0184b29582f119fca27a389e8995 | |
| parent | 05ae626f3b0ed43f86cd65ebdf06d6effb04d4af [diff] |
[ASTERIXDB-2713][EXT] CSV & TSV support for external dataset p4 - user model changes: no - storage format changes: no - interface changes: yes - IValueParser Details: - added parameter "null" to allow user to specifiy what string represents a null value. Only nullable fields whose values match this string will produce NULL. Otherwise, no NULLs will be produced. - empty fields: - for string fields, produce empty string "". - for non-string fields, issue a warning an ignore the record. - changed IValueParser to return boolean to allow some implementations to return true or false instread of throwing an exception. - added parameter "redact-warnings" to allow user to specifiy if parser warnings should exclude information like file name. - changed the Integer and Long parsers to consider spaces properly and also to handle overflow and underflow. - changed the boolean parser to align with other parsers that ignore leading and trailing spaces. - added test cases. Change-Id: Ib6aed0095a472510b69cc29a3e444e7de5a2c1ae Reviewed-on: https://asterix-gerrit.ics.uci.edu/c/asterixdb/+/5963 Integration-Tests: Jenkins <jenkins@fulliautomatix.ics.uci.edu> Reviewed-by: Ali Alsuliman <ali.al.solaiman@gmail.com> Reviewed-by: Murtadha Hubail <mhubail@apache.org> 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:19001
Read more documentation to learn the data model, query language, and how to create a cluster instance.