For the most selective query results, combine path and payload filtering.
The examples use a sample river flow data set. To use your own data, replace the table and column names, and authorization object. See Variable Substitutions for Examples for the credentials and location values for the sample data set.
- To run NOS-related commands, log on to the database as a user with the required privileges.
- If it does not exist, create the foreign table or ask your database administrator to create the foreign table called riverflow_csv_pathfilter: See Filtering Using a Column Within the Data Set.
- Combine path and payload filtering to find how many times the gauge height was greater than 9.5 for a specific year, month, and site number:
SELECT COUNT(*) FROM riverflow_csv_pathfilter WHERE GageHeight > 9.5 AND $path.$siteno = 09380000 AND $path.$year = 2018 AND $path.$month = 06;
Path filtering eliminated entire objects from being read and payload filtering selected the records of interest within those objects.
Your result will be similar to the following:
Count(*) ----------- 185