These tools are for manipulating G-NAF addressing data provided by PSMA Australia.
Copyright 2019 Superloop Limited (ASX: SLC.) Released under the BSD License by the Geospatial Information Systems (GIS) Department.
To import data into MySQL or MariaDB, proceed with the following steps.
Delete old files if present:
git clone git@github.com:superloop-ltd/gnaf.git
cd gnaf
git clean -xdf
The download link can be found at PSMA Geocoded National Address File (G-NAF) under 'Files and APIs', then 'PSMA Geocoded National Address File (G-NAF)(ZIP).'
Download and unzip:
wget https://data.gov.au/data/dataset/19432f89-dc3a-4ef3-b943-5326ef1dbecc/resource/4b084096-65e4-4c8e-abbe-5e54ff85f42f/download/may19_gnaf_pipeseparatedvalue_20190521155815.zip
unzip `basename !$`
Ensure that you have at least 20 GB available on your /var/lib/mysql partition. Create database:
GNAFDB=GNAF_201905
mysql -u root -e "CREATE DATABASE $GNAFDB"
Pipe the generate SQL script into the MySQL database:
time ./import-mysql | tee /dev/tty | mysql -u root $GNAFDB
Allow a while for the import to process. It could take more than an hour depending on your hardware.
If the suburb/locality is known, this yields fast results:
SET @term = '7 HIGH STREET';
SET @locality_pid = 'SA1533';
SELECT ft.*, LEVENSHTEIN_RATIO(SUBSTRING(address_search, LOCATE(SUBSTRING_INDEX(@term, ' ', 1), address_search), LENGTH(@term)), UPPER(@term)) similarity
FROM ADDRESS_SEARCH ft
JOIN LOCALITY l ON (ft.locality_pid = l.locality_pid AND l.locality_pid = @locality_pid)
ORDER BY similarity DESC, LENGTH(address_search)
LIMIT 10;
+--------------------+-----------------------------------+---------------------+--------------+--------------------+
| address_detail_pid | address_search | street_locality_pid | locality_pid | similarity |
+--------------------+-----------------------------------+---------------------+--------------+--------------------+
| GASA_415021401 | 7 HIGH STREET WILLUNGA SA | SA539103 | SA1533 | 1 |
| GASA_415430576 | 47 HIGH STREET WILLUNGA SA | SA539103 | SA1533 | 1 |
| GASA_415470767 | 57 HIGH STREET WILLUNGA SA | SA539103 | SA1533 | 1 |
| GASA_415481574 | 27 HIGH STREET WILLUNGA SA | SA539103 | SA1533 | 1 |
| GASA_416983326 | 17 HIGH STREET WILLUNGA SA | SA539103 | SA1533 | 1 |
| GASA_422049207 | 37 HIGH STREET WILLUNGA SA | SA539103 | SA1533 | 1 |
| GASA_415679672 | UNIT 2 37 HIGH STREET WILLUNGA SA | SA539103 | SA1533 | 1 |
| GASA_415679673 | UNIT 3 37 HIGH STREET WILLUNGA SA | SA539103 | SA1533 | 1 |
| GASA_415677702 | UNIT 1 37 HIGH STREET WILLUNGA SA | SA539103 | SA1533 | 1 |
| GASA_415112700 | 7 WAYE STREET WILLUNGA SA | SA509855 | SA1533 | 0.6923076923076923 |
+--------------------+-----------------------------------+---------------------+--------------+--------------------+
10 rows in set (0.03 sec)
This requires the Levenshtein UDF.
Fulltext search is currently experimental. We recommend using Elasticsearch.