Is there a secure way to prevent user input from causing issues in a BigQuery node insert? Can the BigQuery.insert node library support parameterized queries for added security

I am seeking advice on how to securely insert user form data into BigQuery using the Google Cloud BigQuery library. Specifically, I am curious about the most effective methods for sanitizing, escaping, and cleaning the input data.

Is it feasible to implement Parameterized Queries for an insert operation with this library? I am uncertain of the process and whether utilizing an SQL insert is preferable over the node library insert(jsObject) method. Currently, I am applying a MySQL escape library to each string before incorporating it into the JavaScript object, but I am unsure of its reliability in ensuring security.

Below is an example of what an insert operation looks like:

bigquery
.dataset("analytics")
.table("actions")
.insert(someJSObjectWithUserInputData)
.then(() => {
    console.log(`Inserted row`);
})

Answer â„–1

When utilizing a load job or the streaming API to run insertions, there is no need to escape data for safety purposes. When using table.insert to stream data in, escaping for safety is not necessary.

If you opt to use the new support DML statements with INSERT INTO, then escaping becomes crucial. In this scenario, parameterized queries can be utilized. Parameters like @param_name and positional parameters with ? are recommended.

For Node.JS applications, referencing the API documentation, particularly focusing on params, is essential:

params: For positional SQL parameters, provide an array of values. For named SQL parameters, provide an object mapping each named parameter to its corresponding value.

https://cloud.google.com/nodejs/docs/reference/bigquery/1.2.x/BigQuery#query

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