In addition to being able to discover non-unique values of an entire text file or database table using this Cloud Connect application, you can now also automate the running of these analysis jobs so they can be scheduled, added to any business processes or workflow, or be part of a data pipeline in ETL/ELT processes. This is a powerful capability.
This is achieved via an HTTP request "query string", which can then be embedded directly into any process, batch file, scheduler, or series of commands.
For example, the following range test process can be tested against a demo file (no credits used):
https://connect.interzoid.com/run?function=nonunique&apikey=use-your-own-api-key-here&source=CSV&connection=https://dl.interzoid.com/csv/range.csv&table=CSV&column=1&html=true
You can also run this command from a Linux, Windows, or Macintosh command line using "Curl" (must use double quotes within Curl on Windows). Curl (also known as cURL) is a command line HTTP client tool that is generally available by default on most computers:
Linux & Mac
curl 'https://connect.interzoid.com/run?function=nonunique&apikey=use-your-own-api-key-here&source=CSV&connection=https://dl.interzoid.com/csv/range.csv&table=CSV&column=1'
curl "https://connect.interzoid.com/run?function=nonunique&apikey=use-your-own-api-key-here&source=CSV&connection=https://dl.interzoid.com/csv/range.csv&table=CSV&column=1"
Output from these curl commands can be redirected to output files for further processing using the greater-than symbol in both Linux & Windows.
Linux & Mac
$ curl '[HTTP query string]' > output.csv
> curl "[HTTP query string]" > output.csv
Here are some examples of using the same HTTP query string to find non-unique columns in an entire database table or view. See more about connection strings.
(Snowflake example) https://connect.interzoid.com/run?function=nonunique&apikey=use-your-own-api-key-here&source=Snowflake&connection=your-specific-connection-string&table=values&column=value
(Azure SQL example) https://connect.interzoid.com/run?function=nonunique&apikey=use-your-own-api-key-here&source=azure sql&connection=your-specific-connection-string&table=values&column=value
(AWS RDS example) https://connect.interzoid.com/run?function=nonunique&apikey=use-your-own-api-key-here&source=aws rds postgres&connection=your-specific-connection-string&table=values&column=value
(Google Cloud SQL example) https://connect.interzoid.com/run?function=nonunique&apikey=use-your-own-api-key-here&source=postgres&connection=your-specific-connection-string&table=values&column=value
(Postgres example) https://connect.interzoid.com/run?function=nonunique&apikey=use-your-own-api-key-here&source=postgres&connection=your-specific-connection-string&table=values&column=value
(MySQL example) https://connect.interzoid.com/run?function=nonunique&apikey=use-your-own-api-key-here&source=mysql&connection=your-specific-connection-string&table=values&column=value
Parameters specific to finding non-unique values in a column to be set as part of the HTTP query string:
function Required. Use 'nonunique' for providing counts of non-unique items in a column.
Additional parameters that can set as part of the HTTP query string:
apikey Required. Login to www.interzoid.com to obtain your API Key. It is how we track and manage usage.
If you do not yet have one, register at www.interzoid.com/register-api-account
source Required. Source of data, such as 'CSV', 'Snowflake', 'Postgres', etc.
See source list on interactive page for entire list.
connection Required. Connection string to access database, or in the case of a CSV or TSV file,
use the full URL of the location of the file.
table Required. Table name to access the source data. Use "CSV" or "TSV" for delimited text files.
column Required. Column name within the table to access the source data. This is a number for CSV or TSV files,
starting with number 1 from the left side of the file.
reference An additional column from the source table to display in the output results, such as a primary key.
newtable The name of the new table if the output results are written to a new table.
json Set to true (&json=true) to display the output formatted as JSON.
html Set to true (&html=true) to pad line breaks into the output results for better readability in
a browser when run from the address bar.
Questions? Contact support@interzoid.com - we are happy to help.