google bigquery - Getting table-specific costs via SQL query -


is there query can run determine how queries against each table costing us? instance, result of query @ least include like:

dataset.table1 236tb processed dataset.table2 56gb processed dataset.table3 24kb processed etc

also there way know specific queries costing most?

thanks!

let's talk first data , respective data-points such query!

take @ job resources
here have few useful properties

configuration.query.query - bigquery sql query execute.
statistics.query.referencedtables - referenced tables job.
statistics.query.totalbytesbilled - total bytes billed job. statistics.query.totalbytesprocessed - total bytes processed job.
statistics.query.billingtier - billing tier job.

having above data-points allow write relativelly simple query answer cost per query , cost per table questions! 

so,  - how data available?

you can collect jobs using job.list api , loop thru available jobs , retrieve respective stats via job.get api - of course dumping retrieved data bigquery table. can enjoy analysis!

or can use bigquery's audit logs track access , cost details (as described in docs) , export them bigquery analysis.

the former option (jobs.list , job.get in loop)) gives ability jobs info if don't have audit logs enabled yet, because job.get api returns information specific job available 6 month period after creation - plenty of data analysis!


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