Preview random rows of data in place from external object store using a foreign table.
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.
Before proceeding, verify with your database administrator that you have the correct privileges and an authorization object.
- 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. See Setting Up to Run Examples.
- To see sample records with the attribute names included before each string of values, issue the following command against the foreign table:
SELECT TOP 2 * FROM table_name;If you run this on JSON data, the results look different because you get a payload. Inside the payload field, you get a comma delimited list of values.
On CSV and Parquet, you get a list of columns with data.
Example: Sampling External Data In Place Using a Foreign Table
If not already done, create the foreign table. See Setting Up to Run Examples.
SELECT TOP 2 * FROM riverflow;
Your results will be similar to the following:
Location /S3/s3.amazonaws.com/td-usgs-public/CSVDATA/09400815/2018/07/10.csv GageHeight2 ? Flow .00 site_no 9400815 datetime 2018-07-10 00:00 Precipitation .00 GageHeight -.01 Location /S3/s3.amazonaws.com/td-usgs-public/CSVDATA/09400815/2018/07/12.csv GageHeight2 ? Flow .00 site_no 9400815 datetime 2018-07-12 00:00 Precipitation .00 GageHeight -.01
The output is displayed vertically for readability.