R: Run a asynchronous query and retrieve results deprecated

query_exec {bigrquery} | R Documentation

## Run a asynchronous query and retrieve results deprecated

### 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)

[Package bigrquery version 1.1.1 Index]