BigQuery Foreign Data Wrapper for PostgreSQL
Project description
# bigquery_fdw: BigQuery Foreign Data Wrapper for PostgreSQL
bigquery_fdw is a BigQuery foreign data wrapper for PostgreSQL using [Multicorn](https://github.com/Kozea/Multicorn).
It allows to write queries in PostgreSQL SQL syntax using a foreign table. It supports most of BigQuery's [data types](docs/data_types.md) and [operators](docs/operators.md).
## Features and limitations
- Table partitioning is supported. [You can use partitions in your SQL queries](docs/table_partitioning.md).
- Queries are parameterized when sent to BigQuery
- BigQuery's standard SQL support (legacy SQL is not supported)
- Authentication works with a "[Service Account](docs/service_account.md)" Json private key
[Read more](docs/README.md).
## Requirements
- PostgreSQL >= 9.5
- Python 3
## Dependencies
### Dependencies required to install bigquery_fdw:
- `postgresql-server-dev-X.Y`
- `python3-pip`
- `python3-dev`
- `make`
- `gcc`
### Major dependencies installed automatically during the installation process:
- [Google Cloud BigQuery](https://pypi.org/project/google-cloud-bigquery/)
- [Multicorn](https://github.com/Kozea/Multicorn)
## Installation
```bash
# Install `setuptools` if necessary
pip3 install --upgrade setuptools
# Install Multicorn
git clone git://github.com/Kozea/Multicorn.git && cd Multicorn
export PYTHON_OVERRIDE=python3
make && make install
# Install bigquery_fdw
pip3 install bigquery-fdw
```
## Usage
We recommend testing the [BigQuery client connectivity](docs/test_client.md) before trying to use the FDW.
With `psql`:
```sql
CREATE EXTENSION multicorn;
CREATE SERVER bigquery_srv FOREIGN DATA WRAPPER multicorn
OPTIONS (
wrapper 'bigquery_fdw.fdw.ConstantForeignDataWrapper'
);
CREATE FOREIGN TABLE my_bigquery_table (
column1 text,
column2 bigint
) SERVER bigquery_srv
OPTIONS (
fdw_dataset 'my_dataset',
fdw_table 'my_table',
fdw_key '/opt/bigquery_fdw/user.json'
);
```
## Options
List of options implemented in `CREATE FOREIGN TABLE` syntax:
| Option | Default | Description |
|-----|----|----|
| `fdw_dataset` | - | BigQuery dataset name |
| `fdw_table` | - | BigQuery table name |
| `fdw_key` | - | Path to private Json key (See [Key storage recommendations](docs/key_storage.md)) |
| `fdw_convert_tz` | - | Convert BigQuery time zone for dates and timestamps to selected time zone. Example: `'US/Eastern'`. |
| `fdw_group` | `'false'` | See [Remote grouping and counting](docs/remote_grouping.md). |
| `fdw_casting` | - | See [Casting](docs/casting.md). |
| `fdw_verbose` | `'false'` | Set to `'true'` to output debug information in PostrgeSQL's logs |
| `fdw_sql_dialect` | `'standard'` | BigQuery SQL dialect. Currently only `standard` is supported. |
## More documentation
See [bigquery_fdw documentation](docs/README.md).
bigquery_fdw is a BigQuery foreign data wrapper for PostgreSQL using [Multicorn](https://github.com/Kozea/Multicorn).
It allows to write queries in PostgreSQL SQL syntax using a foreign table. It supports most of BigQuery's [data types](docs/data_types.md) and [operators](docs/operators.md).
## Features and limitations
- Table partitioning is supported. [You can use partitions in your SQL queries](docs/table_partitioning.md).
- Queries are parameterized when sent to BigQuery
- BigQuery's standard SQL support (legacy SQL is not supported)
- Authentication works with a "[Service Account](docs/service_account.md)" Json private key
[Read more](docs/README.md).
## Requirements
- PostgreSQL >= 9.5
- Python 3
## Dependencies
### Dependencies required to install bigquery_fdw:
- `postgresql-server-dev-X.Y`
- `python3-pip`
- `python3-dev`
- `make`
- `gcc`
### Major dependencies installed automatically during the installation process:
- [Google Cloud BigQuery](https://pypi.org/project/google-cloud-bigquery/)
- [Multicorn](https://github.com/Kozea/Multicorn)
## Installation
```bash
# Install `setuptools` if necessary
pip3 install --upgrade setuptools
# Install Multicorn
git clone git://github.com/Kozea/Multicorn.git && cd Multicorn
export PYTHON_OVERRIDE=python3
make && make install
# Install bigquery_fdw
pip3 install bigquery-fdw
```
## Usage
We recommend testing the [BigQuery client connectivity](docs/test_client.md) before trying to use the FDW.
With `psql`:
```sql
CREATE EXTENSION multicorn;
CREATE SERVER bigquery_srv FOREIGN DATA WRAPPER multicorn
OPTIONS (
wrapper 'bigquery_fdw.fdw.ConstantForeignDataWrapper'
);
CREATE FOREIGN TABLE my_bigquery_table (
column1 text,
column2 bigint
) SERVER bigquery_srv
OPTIONS (
fdw_dataset 'my_dataset',
fdw_table 'my_table',
fdw_key '/opt/bigquery_fdw/user.json'
);
```
## Options
List of options implemented in `CREATE FOREIGN TABLE` syntax:
| Option | Default | Description |
|-----|----|----|
| `fdw_dataset` | - | BigQuery dataset name |
| `fdw_table` | - | BigQuery table name |
| `fdw_key` | - | Path to private Json key (See [Key storage recommendations](docs/key_storage.md)) |
| `fdw_convert_tz` | - | Convert BigQuery time zone for dates and timestamps to selected time zone. Example: `'US/Eastern'`. |
| `fdw_group` | `'false'` | See [Remote grouping and counting](docs/remote_grouping.md). |
| `fdw_casting` | - | See [Casting](docs/casting.md). |
| `fdw_verbose` | `'false'` | Set to `'true'` to output debug information in PostrgeSQL's logs |
| `fdw_sql_dialect` | `'standard'` | BigQuery SQL dialect. Currently only `standard` is supported. |
## More documentation
See [bigquery_fdw documentation](docs/README.md).
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