query_exec: Run a asynchronous query and retrieve results deprecated

In wilpoole-essence/bigrquery: An Interface to Google's 'BigQuery' 'API'

Description

Please use bq_project_query() instead.

Usage

query_exec(query, project, destination_table = NULL, default_dataset = NULL,
  page_size = 10000, max_pages = 10, warn = TRUE,
  create_disposition = "CREATE_IF_NEEDED",
  write_disposition = "WRITE_EMPTY", use_legacy_sql = TRUE,
  quiet = getOption("bigrquery.quiet"), ...)

Arguments

query	SQL query string
destination_table	(optional) destination table for large queries, either as a string in the format used by BigQuery, or as a list with project_id, dataset_id, and table_id entries
default_dataset	(optional) default dataset for any table references in query, either as a string in the format used by BigQuery or as a list with project_id and dataset_id entries
page_size	Number of items per page.
max_pages	Maximum number of pages to retrieve. Use Inf to retrieve all pages (this may take a long time!)
warn	If TRUE, warn when there are unretrieved pages.
create_disposition	behavior for table creation. defaults to "CREATE_IF_NEEDED", the only other supported value is "CREATE_NEVER"; see the API documentation for more information
write_disposition	behavior for writing data. defaults to "WRITE_EMPTY", other possible values are "WRITE_TRUNCATE" and "WRITE_APPEND"; see the API documentation for more information
use_legacy_sql	(optional) set to FALSE to enable BigQuery's standard SQL.
...	Additional arguments passed on to the underlying API call. snake_case names are automatically converted to camelCase.

See Also

Google documentation describing asynchronous queries: https://developers.google.com/bigquery/docs/queries#asyncqueries

Google documentation for handling large results: https://developers.google.com/bigquery/querying-data#largequeryresults

Examples

## Not run: 
project <- bq_test_project() # put your project ID here
sql <- "SELECT year, month, day, weight_pounds FROM [publicdata:samples.natality] LIMIT 5"
query_exec(sql, project = project)
# Put the results in a table you own (which uses project by default)
query_exec(sql, project = project, destination_table = "my_dataset.results")
# Use a default dataset for the query
sql <- "SELECT year, month, day, weight_pounds FROM natality LIMIT 5"
query_exec(sql, project = project, default_dataset = "publicdata:samples")

## End(Not run)

wilpoole-essence/bigrquery documentation built on May 6, 2019, 8:06 p.m.