bigrquery 1.1.0

  2019/02/15

  dplyr, dbplyr, bigrquery, databases

  Mara Averick

We’re delighted to announce that bigrquery 1.1.0 is now on CRAN. bigrquery makes it easy to work with data stored in Google BigQuery, a hosted database for big data. This is a minor release, with some improved type support, and SQL translation. For a complete list of updates, please see the Changelog.

Improved type support

bq_table_download() and the DBI::dbConnect method now have a bigint argument, which governs how BigQuery integer columns are imported into R. As before, the default will be bigint = "integer". However, you can now set bigint = "integer64" to import BigQuery integer columns as bit64::integer64 columns in R. This allows for values outside the range of integer (-2147483647 to 2147483647). Thanks to Rasmus Bååth for implementing these changes.

bq_table_download() now treats NUMERIC columns in the same way as FLOAT columns.

bq_table_upload() now works with date-time (POSIXct) variables. Unparseable date times return NA.

SQL translation

  • as.character() now translates to SAFE_CAST(x AS STRING).
  • median() now translates to APPROX_QUANTILES(x, 2)[SAFE_ORDINAL(2)].

Minor fixes

  • bq_job() tracks location, so bigrquery now works painlessly with non-US/EU locations.

Acknowledgements

Thank you to everyone who contributed to this release: @414theodore, @ajh3000, @AlekseyBuzmakov, @batpigandme, @byapparov, @ChrisJohnsonUMG, @cpcgoogle, @dujm, @eddelbuettel, @edgararuiz, @everron, @guillaumed90, @hadley, @Iuiu1234, @izzetagoren, @j450h1, @jberninger, @jordanwebb10, @jrecasens, @KarimZaoui, @ldanai, @paulsendavidjay, @ras44, @rasmusab, @Saikri5hna, @selcukakbas, @SergeiMakarovWeb, @skydavis435, @tdsmith, @tinoater, @tortorellij1, @valentinumbach, and @zacdav.

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