Database Reference
In-Depth Information
bigquery-e2e:nonexistent"
}
}
Summary
In this chapter we discussed how Google APIs in general and BigQuery in
particular fit in with the REST model. You saw some of the raw HTTP-level
features of Google APIs and how they can be invoked from higher-level
languages. You also walked through the BigQuery REST collections:
Projects, Datasets, Tables, TableData, and Jobs, and saw the operations that
are valid on those collections.
Also of note in the chapter were the coding samples: the code to get an
up-to-date OAuth2 token and Python code exercising every method in the
BigQuery API. You also saw how to read table data from both Java and
Python.
Finally, you went through the types of errors you're likely to see, what they
mean, and what to do when you see them.
