CSV File | READ_NOS Query | Teradata Vantage - Example: Using READ_NOS to Query an External CSV File - Teradata Vantage - Analytics Database

SQL Data Manipulation Language

Deployment
VantageCloud
VantageCore
Edition
VMware
Enterprise
IntelliFlex
Product
Analytics Database
Teradata Vantage
Release Number
17.20
Published
June 2022
ft:locale
en-US
ft:lastEdition
2025-04-02
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pon1628111750298.ditamap
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qkf1628213546010.ditaval
dita:id
esx1472246586715
lifecycle
latest
Product Category
Teradata Vantageā„¢

This example uses the READ_NOS table operator to query an external CSV file. This query uses READ_NOS to select specific columns. The LOCATION parameter specifies a CSV file stored on Amazon S3.

If not already done, create the authorization object. See Example: Create an Authorization Object.

Run the READ_NOS:

SELECT Flow, Precipitation, datetime, site_no, GageHeight
FROM (
LOCATION='/S3/td-usgs-public.s3.amazonaws.com/CSVDATA/'
AUTHORIZATION=MyAuthObj
) AS derived_table
WHERE GageHeight > 3.64
ORDER BY datetime;

Results:

Flow  Precipitation          datetime      site_no  GageHeight
-----  -------------  ----------------  -----------  ----------
  .00            .00  2018-06-27 00:00      9400568        6.51
  .01            .00  2018-06-27 00:00      9394500        4.75
  .00            .00  2018-06-27 00:15      9400568        6.51
  .01            .00  2018-06-27 00:15      9394500        4.75
  .00            .00  2018-06-27 00:30      9400568        6.51
[...]