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Export data from Redshift to BigQuery

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# bqshift

Automate copy of [Redshift](https://aws.amazon.com/redshift/) data to [BigQuery](https://cloud.google.com/bigquery/).

## Building

```
$ go get github.com/uswitch/bqshift
$ go install github.com/uswitch/bqshift
```

## Running

```
$ export GCLOUD_PROJECT=project-id
$ export GOOGLE_APPLICATION_CREDENTIALS=/path/to/creds.json
$ bqshift --config=config.example.yml <DEST DATASET> <REDSHIFT TABLE>
```

### Time Partitioned Tables

BigQuery supports [Partitioned Tables](https://cloud.google.com/bigquery/docs/partitioned-tables).

> By dividing a large table into smaller partitions, you can improve query performance and reduce the number of bytes billed by restricting the amount of data scanned. BigQuery enables you to partition tables by date.

bqshift can load partitioned data as long as the source data has date information stored, the destination table in BigQuery must also have been declared as time partitioned when it was created. bqshift can automatically create the correct table if it hasn't already been created.

For example, to create a partitioned table from a table that has a `TIMESTAMP` column called `ts`, and to load data into the `2016-09-27` partition you can use the following command:

```
$ bqshift --partition --date-expression="CAST(ts as DATE)" --date=2016-09-27 --config=config.example.yml <DEST DATASET> <REDSHIFT TABLE>
```

#### Overwriting Partitioned Data

It's possible to replace/update an existing partition by adding the `--overwrite` flag.

```
$ bqshift --overwrite --partition --date-expression="CAST(ts as DATE)" --date=2016-09-27 --config=config.example.yml <DEST DATASET> <REDSHIFT TABLE>
```

Note that you can _only_ update data that was already part of a partition. For example, if you were to create a partitioned table and load a bulk set of historical/archived data when you use `--overwrite` and `--date` you'll overwrite all data in the table. Instead I would suggest having a separate `_archive` table from the partitioned tables.

## Notes

As part of the unloading process bqshift generates SQL for Redshift; this is _not_ protected against SQL injection attacks so beware of using this tool with user-generated input.

## Releasing

We use [https://github.com/progrium/gh-release](https://github.com/progrium/gh-release) to tag and release artifacts. Install with:

```
$ go get github.com/progrium/gh-release
```

Then to release use:

```
$ VERSION=<...> make gh-release
```

## License

Redistribution and use in source and binary forms, with or without 
modification, are permitted provided that the following conditions are met:

* Redistributions of source code must retain the above copyright notice, 
   this list of conditions and the following disclaimer. 
 * Redistributions in binary form must reproduce the above copyright 
   notice, this list of conditions and the following disclaimer in the 
   documentation and/or other materials provided with the distribution. 
 * Neither the name of uSwitch nor the names of its contributors may be 
   used to endorse or promote products derived from this software without 
   specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" 
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE 
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE 
ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE 
LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR 
CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF 
SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS 
INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN 
CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) 
ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE 
POSSIBILITY OF SUCH DAMAGE.

bqshift

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