An experimental version of the BQ client which adds client-side encryption
Python
Latest commit 35bdf1b Oct 13, 2016 John Randolph Add 'related' fields to the schema. This allows manipulation of the
key derivation so that >1 field uses the same key and can e.g. be JOINed.
This is just alpha support for a join-like concept.
Add JOIN parsing to the query parser.

Many query parser updates:

Revise how aliases are handled by extending some internal *Token types
to hold their original and aliased name.

Update the query parser and rewriter to support very deep schemas.

Revise how SQL aliases are used to hint the query response parser. Use a
query manifest to more directly hint the response parser.

Straighten out some query statement order.

Add clarification and tests around timestamp type.
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examples Add 'related' fields to the schema. This allows manipulation of the Oct 12, 2016
src Add 'related' fields to the schema. This allows manipulation of the Oct 12, 2016
INSTALL.md commit v1.2 Apr 17, 2015
LICENSE.txt commit v1.2 Apr 17, 2015
MANIFEST.in commit v1.2 Apr 17, 2015
README.md Update README.md Sep 28, 2015
ez_setup.py commit v1.2 Apr 17, 2015
remove_pyreadline.py commit v1.2 Apr 17, 2015
setup.py Add 'related' fields to the schema. This allows manipulation of the Oct 12, 2016
tutorial.md

README.md

encrypted-bigquery-client

The encrypted BigQuery client is an experimental extension of the BigQuery client. It offers client-side encryption for a subset of query types. Currently it is implemented in Python.

Sample data and query examples is available in our tutorial.