The idea here is to export records from a relational database, such as MySQL, into a CSV (comma separated values) file format that will then be used to import into a Neo4j graph.
An example of a denormalized dataset sourced from several tables by combining selected fields
mysql> select * from soil_survey order by rand() limit 3;
+-------------+------------+-----------+----------+--------------+----------+---------------+---------------+---------------+--------------+
| Hort_Client | Contractor | Region | Locality | Soil_Service | Solution | Soil_Issue | Date_Reported | Date_Actioned | DaysToAction |
+-------------+------------+-----------+----------+--------------+----------+---------------+---------------+---------------+--------------+
| 168 | 2245 | Swifford | 2130 | 51277 | 2118 | Compaction | 2010-12-27 | 2011-03-14 | 77 |
| 164 | 2503 | Northbury | 502 | 545 | 7866 | Acidification | 2010-06-28 | 2010-12-06 | 161 |
| 157 | 777 | Swifford | 22 | 67 | 5739 | Erosion | 2013-12-23 | 2014-04-14 | 112 |
+-------------+------------+-----------+----------+--------------+----------+---------------+---------------+---------------+--------------+
3 rows in set (0.01 sec)
SELECT * FROM soil_survey INTO OUTFILE '/var/lib/mysql-files/soil_survey.csv' FIELDS TERMINATED BY ',' LINES TERMINATED BY '\n';
sudo mv /var/lib/mysql-files/soil_survey.csv data-import-directory/
sed -i '1i Hort_Client,Contractor,Region,Locality,Soil_Service,Solution,Soil_Issue,Date_Reported,Date_Actioned,DaysToAction' data-import-directory/soil_survey.csv
sed -i '1d' import-directory/soil_survey.csv
head -3 import-directory/soil_survey.csv
Hort_Client,Contractor,Region,Locality,Soil_Service,Solution,Soil_Issue,Date_Reported,Date_Actioned,DaysToAction
159,1091,Northbury,3656,54593,5397,Erosion,2007-05-07,2008-02-18,287
159,1091,Northbury,1516,22644,5397,Erosion,2007-05-07,2008-03-18,316
You now have a workable CSV data file that you can import into a Neo4j graph