Hi Katayoon,

Here is my use case:
1) source : CSV file
2) one master table of size 500 GB and 500 million records. 
3) daily updates of size 10GB and 10 million records.

I need to create 2) one time. Every day I need to update 3).

Right now I import the CSV files and create tables in BigQuery. Then I can 
do additional work and export as CSV to Cloud Storage.

With BigQuery I can prepare the tables in advance. Let say I have 1 table 
with 100 columns and 10 indexes on only 10 fields which are fields in the 
CSV exported from BigQuery in CloudStorage. Let say the master table is 500 
GB/500 mil records and the indexes should be  1/10 or 50 GB. Every day I 
change/delete about 10 GB/10 million records.

BigQuery is not for customer facing apps so I'm looking for the best way to 
achieve that most effective and cheapest way.

For customer facing app I don't need full SQL -  some limited SQL or if not 
possible KV store is OK. 

Best,
--Constantine



On Thursday, May 31, 2018 at 11:26:26 AM UTC-7, Katayoon (Cloud Platform 
Support) wrote:
>
> If you mean using Search API in App Engine to index your structured data 
> (your JSON files), you may take a look at this documentation 
> <https://cloud.google.com/appengine/docs/standard/python/search/> and the 
> pricing 
> <https://cloud.google.com/appengine/docs/standard/python/search/#Python_Search_API_pricing>
>  
> is the same as brought in the App Engine tab of Pricing Calculator 
> <https://cloud.google.com/products/calculator/> (Indexing Documents 
> section). If not, could you provide more clarification about your use case?
>

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