Path Filtering for CSV | Native Object Store ( NOS ) | Teradata Vantage - 17.00 - Querying a Foreign Table with Path Filtering - Teradata Database

Teradata Vantageā„¢ - Native Object Store Getting Started Guide

prodname
Advanced SQL Engine
Teradata Database
vrm_release
17.00
created_date
September 2020
category
Programming Reference
featnum
B035-1214-170K

All foreign tables have a generic PATHPATTERN; for example, PATHPATTERN('$Var1/$Var2/$Var3/$Var4/$Var5/$Var6/$Var7/$Var8/$Var9/$Var10/$Var11').

To make path filtering in a query easier, explicitly specify a PATHPATTERN with meaningful names when you create the foreign table. For example, to match the path names selected in the river flow example, use ('$data/$siteno/$year/$month/$day'). PATHPATTERNs are useful for limiting results, instead of returning all the objects.

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.

  1. To run NOS-related commands, log on to the database as a user with the required privileges.
  2. If it does not exist, create the foreign table or ask your database administrator to create the foreign table called riverflow_csv_path: See Filtering on the Payload Column of a Foreign Table.
  3. Use path filtering to narrow down search results. To see the data for a site number on a particular date, query the path attributes:
    SELECT TOP 2 payload..*
    FROM riverflow_csv_path
    WHERE $PATH.$year = '2018'
    AND $PATH.$month = '07'
    AND $PATH.$day = '01.csv'
    AND $PATH.$siteno = '09400815';

    The $PATH.$day variable represents the actual object in the path segment name ( siteno / year / month / day). As such, it often has a file extension as part of the name, as shown in the example.

    Your result will be similar to the following:

    Payload..*
    ----------------------------------------------------------
    [null,"0.00","09400815","2018-07-01 00:15","0.00","-0.01"]
    [null,"0.00","09400815","2018-07-01 00:45","0.00","-0.01"]
    

    Note that the more specific you are with path filtering, the more selective are the results, potentially saving processing time and external storage access costs.