Tracking Query Execution Time for BigQuery API

D.

To find out how much time hundreds of queries on BigQuery take to execute using BigQuery API, you can use Stackdriver Trace to plot query execution time.

Stackdriver Trace is a distributed tracing system that can help you to diagnose performance issues in your applications. It allows you to see the performance of your application end-to-end, including external API calls. In this case, you can use Stackdriver Trace to measure the execution time of the queries that are being sent to BigQuery API.

To use Stackdriver Trace to plot query execution time, you need to do the following:

1. Enable Stackdriver Trace: You need to enable Stackdriver Trace in your Google Cloud Platform (GCP) project.

2. Instrument your application: You need to instrument your application code to trace the queries that are being sent to BigQuery API. You can do this by using the Stackdriver Trace API.

3. View the traces: After you have instrumented your application code, you can view the traces in the Stackdriver Trace console. The traces will show you the execution time of each query.

By using Stackdriver Trace to plot query execution time, you can identify which queries are taking the most time to execute and optimize them. You can also use this information to identify any issues with your application code that may be causing slow query execution times.

Option C is the correct answer, as Stackdriver Trace can plot the query execution time. Option A is not relevant as it plots slot usage, which is not related to query execution time. Option B is not the best answer as it plots API execution time, which may not reflect the actual query execution time. Option D is incorrect as Stackdriver Monitoring is not designed to plot query execution times.