Google launched Flexible Column Names for BigQuery

Using Flexible Column Names for extracting, loading, streaming, and querying

Christianlauer
Technology Hits

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Photo by Jasper Gribble on Unsplash

Google just announced the general availability of using flexible column names with BigQuery tables and views for extracting, loading, streaming, and querying data[1].

Normally a BigQuery column name can contain letters (a-z, A-Z), numbers (0–9), or underscores (_), and it must start with a letter or underscore. If you use flexible column names, BigQuery supports starting a column name with a number. Exercise caution when starting columns with a number, since using flexible column names with the BigQuery Storage Read API or BigQuery Storage Write API requires special handling[2].

Now with flexible columns you have more flexibility in what you name columns, including expanded access to characters in languages other than English as well as additional symbols. According to the documentary from Google Flexible column names support the following characters[2]:

  • Any letter in any language, as

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Technology Hits
Technology Hits

Published in Technology Hits

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Christianlauer
Christianlauer

Written by Christianlauer

Big Data Enthusiast based in Hamburg and Kiel. Thankful if you would support my writing via: https://christianlauer90.medium.com/membership

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