bigQueryR (version 0.3.1)

bqr_get_job: Poll a jobId

Description

Poll a jobId

Usage

bqr_get_job(projectId = bq_get_global_project(), jobId)

Arguments

projectId

projectId of job

jobId

jobId to poll

Value

A Jobs resource

See Also

Other BigQuery asynch query functions: bqr_download_extract, bqr_extract_data, bqr_grant_extract_access, bqr_query_asynch, bqr_wait_for_job

Examples

# NOT RUN {
# }
# NOT RUN {
library(bigQueryR)

## Auth with a project that has at least BigQuery and Google Cloud Storage scope
bqr_auth()

## make a big query
job <- bqr_query_asynch("your_project", 
                        "your_dataset",
                        "SELECT * FROM blah LIMIT 9999999", 
                        destinationTableId = "bigResultTable")
                        
## poll the job to check its status
## its done when job$status$state == "DONE"
bqr_get_job("your_project", job$jobReference$jobId)

##once done, the query results are in "bigResultTable"
## extract that table to GoogleCloudStorage:
# Create a bucket at Google Cloud Storage at 
# https://console.cloud.google.com/storage/browser

job_extract <- bqr_extract_data("your_project",
                                "your_dataset",
                                "bigResultTable",
                                "your_cloud_storage_bucket_name")
                                
## poll the extract job to check its status
## its done when job$status$state == "DONE"
bqr_get_job("your_project", job_extract$jobReference$jobId)

## to download via a URL and not logging in via Google Cloud Storage interface:
## Use an email that is Google account enabled
## Requires scopes:
##  https://www.googleapis.com/auth/devstorage.full_control
##  https://www.googleapis.com/auth/cloud-platform
## set via options("bigQueryR.scopes") and reauthenticate if needed

download_url <- bqr_grant_extract_access(job_extract, "[e-mail]")

## download_url may be multiple if the data is > 1GB

# }
# NOT RUN {



# }

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