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Introduction

Google provides BigQuery for querying massive datasets by enabling super-fast SQL queries against append-only tables using the processing power of Googles's infrastructure. Users can move their data into BigQuery and let it to handle the hard work. 

Now CDAP provides the interface for users to handle their datasets in BigQuery. 

Use-Case

  1. User is able to query their datasets stored in Google BigQuery.

  2. User should specify the limit time for the querying. 

  3. User is able to specify the limit size of the dataset to query. 

  4. User is able to poll for the result.

  5. User can list the query result history for a duration of time. 

  6. The schema is automatically pulled from the table. 

  7. User can pull the field names from the query.

Design

Query:

Inputstyperequireddefault
ProjectIdStringYes

 

CredencialStringYes 
QueryStringYes 
Limit TimeInteger (min)No10
Limit SizeInteger (GB)No50

 

Poll Results:

Using jobId:

InputstypeRequired
PorjectIdStringYes
JobIdStringYes

 

Polling Latest Results:

InputsTypeRequired
ProjectIdStringYes
Poll NumerIntegerYes

 



 

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