BigLake Query Acceleration

Query performance on data lake tables is often bottlenecked by the large number of objects. BigLake query acceleration feature leverages BigQuery’s advanced metadata management system to accelerate queries. BigLake tables can be set up to manage and maintain a cache of metadata about files in Google Cloud Storage automatically in the background. This metadata is then used at query time for query planning and optimization.


* This is a preview feature. Please note the following limitations:  *


1. This Preview feature is not ready to be used for production workloads according to the official TOS: https://cloud.google.com/products#section-22.

For any questions about this feature and/or BigLake please contact biglake-help@google.com

Q & A
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1) When will I get a response for this request?
It may take up to 5 business days, depending on the region. You will receive an email when the change is ready.

2) How do I start using the feature?https://cloud.google.com/bigquery/docs/biglake-intro#metadata_caching_for_performance


We also encourage you to join the discussion group to post questions and comments, and follow the latest updates: https://groups.google.com/a/google.com/g/biglake-help.

3) What is the cost of the preview?

The collection, storage and maintenance the metadata for query acceleration is provided at no additional cost in preview.

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For multiple project numbers, add as comma separated list with space between project numbers. See http://console.cloud.google.com/home/dashboard to find your project #.  Example "1231231244114, 123123123123". 
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How do you plan to use this feature (BigLake Query Acceleration)?

Please include details such as file format, number of files in Google Cloud Storage, partitioning scheme etc if possible
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