commit | 2bbcdd8c8dd2dbb734528bd074d278acbe85908c | [log] [tgz] |
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author | Ali Alsuliman <ali.al.solaiman@gmail.com> | Tue Apr 21 23:16:29 2020 -0700 |
committer | Ali Alsuliman <ali.al.solaiman@gmail.com> | Wed Apr 22 20:46:30 2020 +0000 |
tree | 2916b13b6ce338aa8db9492497acc803b7e07f30 | |
parent | 36ae1017115cc25cb23c7f9e6f94fc59c2516733 [diff] |
[ASTERIXDB-2713][EXT] CSV & TSV support for external dataset p3 - user model changes: no - storage format changes: no - interface changes: yes IRecordDataParser, IRecordReader, IRecordConverter Details: - record parser: - delimited-data (CSV/TSV) parser: ignore and warn for invalid records. - other parses: continue to use their existing behaviour. - stream parser: continue to use their existing behaviour. - fixes: - fixed S3 stream read() to properly advance to next files and also to notify consumers to handle properties like header properly. - fixed localfs stream read() when reached end of current file and notifying of a new file source. - extracted the read() of both streams since now they are identical. - report file, record number and field number in warnings of parser - propagate stream name to parsers that need report stream name - add test cases Change-Id: Ie1ba545d753d8afef9cef4e290e058019a465201 Reviewed-on: https://asterix-gerrit.ics.uci.edu/c/asterixdb/+/5926 Reviewed-by: Ali Alsuliman <ali.al.solaiman@gmail.com> Reviewed-by: Murtadha Hubail <mhubail@apache.org> 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:19001
Read more documentation to learn the data model, query language, and how to create a cluster instance.