bigQueryR 0.5.0

• Support listing more than 50 datasets in bqr_list_dataset
• Change bqr_list_tables to list all tables in a dataset by default
• Add bqr_copy_dataset
• Add Table and bqr_update_table
• Support uploading nested lists via toJSON
• Add writeDisposition to table loads
• Allow creation of empty tables
• Supporting supplying SQL via a file ending with .sql for bqr_query()
• Update to new googleAuthR>1.1.1

bigQueryR 0.4.0

• support nullMarker, maxBadRecords, fieldDelimiter in upload jobs
• Support BigQuery type DATE for R class Date data.frame columns (BigQuery type TIMESTAMP still default for POSIXctcolumns) (#48)
• Allow custom user schema for uploads of data.frames (#48)
• Rename misnamed global functions from bq_ prefix to bqr_ prefix
• Add allowJaggedRows and allowQuotedNewlines options to upload via bqr_upload_data()
• bqr_get_job now accepts a job object as well as the jobId
• Fix bug with bqr_upload_data where autodetect=TRUE didn't work with gcs:// loads from Cloud Storage
• Fix bug with bqr_query() that caused a 404 error sometimes.

Bug fixes, args

bigQuery 0.3.2

• Move to new batch endpoint (#41)
• Remove travis env arg

bigQuery 0.3.1

• Fix asynch job fail if user previously set.seed() (#37)
• skip tests on CRAN causing error
• fix warning in scope check (#40)

Uploads, auto-auth, support for partions/realtime/standard SQL

• Add support for realtime queries, useQueryCache = FALSE
• Add support for standard SQL (#21)
• Add support for hms/timestamp class uploads (#27)
• Add support for partitioned tables (#28)
• Fix bug that only returned one row for single column queries (#31 - thanks Rob)
• Allow loading of data from Google Cloud Storage to BigQuery for large files
• no error if delete non-existent table (#26)
• Add auto authentication if set environment var BQ_AUTH_FILE to location of auth file
• Add default project if set environment var BQ_DEFAULT_PROJECT_ID to project-id
• Add default dataset if set environment var BQ_DEFAULT_DATASET to dataset-id
• Make it clearer when jobs resulted in errors in the job print methods
• Migrate to using googleCloudStorageR for Cloud Storage stuff
• Set default authentication scope to https://www.googleapis.com/auth/cloud-platform
• Unit tests
• Upload table will now correctly report errors
• More user feedback on BigQuery jobs when running
• Allow upload of data.frames asynchrnously
• Allow auto-detection of schema for uploads

Asynchronous downloads

• Download asynch queries straight to disk via googleCloudStorageR

Initial release on CRAN

v0.1.0

CRAN v 0.1.0