| commit | cc6143b4ef5bb3f505478ada2bd95350a0758f6a | [log] [tgz] |
|---|---|---|
| author | Ali Alsuliman <ali.al.solaiman@gmail.com> | Tue Aug 17 18:00:11 2021 +0300 |
| committer | Ali Alsuliman <ali.al.solaiman@gmail.com> | Tue Sep 07 20:26:46 2021 +0000 |
| tree | 5d1524083e4c601789e5a97ea239ee87442b672c | |
| parent | 02ea049d7a5e2432959277b09576e6ff5f81a13a [diff] |
[ASTERIXDB-2949][RUN][FUN] SUBSTR function produces malformed string - user model changes: no - storage format changes: no - interface changes: no Details: - Fix UTF8StringBuilder grow logic UTF8StringBuilder initially takes an estimated length of the string to be written and reserves space at the beginning of the buffer to later store the length of the data written. When the actual data written happens to be greater than the estimated length requiring more space to store the length, the string content needs to be shifted. This patch is to fix the starting offset of the data to be shifted. Also, the estimated length calculation of the substring method of the UTF8StringPointable is modified to account for SUBSTR(input_string, 0, num_chars_to_substring) with start offset = 0. Change-Id: If36253ff884a9c19eaa130c4e5e926f2dd9eea1d Reviewed-on: https://asterix-gerrit.ics.uci.edu/c/asterixdb/+/12864 Integration-Tests: Jenkins <jenkins@fulliautomatix.ics.uci.edu> Tested-by: Jenkins <jenkins@fulliautomatix.ics.uci.edu> Reviewed-by: Ali Alsuliman <ali.al.solaiman@gmail.com> Reviewed-by: Ian Maxon <imaxon@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.