# Couchbase Python Columnar Client
Python client for [Couchbase](https://couchbase.com) Columnar
Currently Python 3.8 - Python 3.12 is supported.
The Columnar SDK supports static typing. Currently only [mypy](https://github.com/python/mypy) is supported. You mileage may vary (YMMV) with the use of other static type checkers (e.g. [pyright](https://github.com/microsoft/pyright)).
# Installing the SDK<a id="installing-the-sdk"></a>
Wheels are provided for linux, MacOS and Windows environments for supported Python versions (currently Python 3.8 - Python 3.12).
>Note: It is strongly recommended to update pip, setuptools and wheel prior to installing the SDK: `python3 -m pip install --upgrade pip setuptools wheel`
Install the SDK via `pip`:
```console
python3 -m pip install couchbase-columnar
```
# Installing the SDK from source
If a compatible wheel is not available, the SDK's binary will need to be built from source:
1. Follow the steps on the [BUILDING page](https://github.com/couchbaselabs/columnar-python-client/blob/main/BUILDING.md)
2. After the build succeeds, the SDK can be used by running Python scripts from within the cloned repository or the SDK can be installed via pip: `python3 -m pip install <path to cloned repository>`
4. Install the `typing-extensions` dependency: `python3 -m pip install typing-extensions`
# Using the SDK<a id="using-the-sdk"></a>
Some more examples are provided in the [examples directory](https://github.com/couchbaselabs/columnar-python-client/tree/main/examples).
**Connecting and executing a query**
```python
from couchbase_columnar.cluster import Cluster
from couchbase_columnar.credential import Credential
from couchbase_columnar.options import QueryOptions
def main() -> None:
# Update this to your cluster
connstr = 'couchbases://--your-instance--'
username = 'username'
pw = 'Password!123'
# User Input ends here.
cred = Credential.from_username_and_password(username, pw)
cluster = Cluster.create_instance(connstr, cred)
# Execute a query and buffer all result rows in client memory.
statement = 'SELECT * FROM `travel-sample`.inventory.airline LIMIT 10;'
res = cluster.execute_query(statement)
all_rows = res.get_all_rows()
for row in all_rows:
print(f'Found row: {row}')
print(f'metadata={res.metadata()}')
# Execute a query and process rows as they arrive from server.
statement = 'SELECT * FROM `travel-sample`.inventory.airline WHERE country="United States" LIMIT 10;'
res = cluster.execute_query(statement)
for row in res.rows():
print(f'Found row: {row}')
print(f'metadata={res.metadata()}')
# Execute a streaming query with positional arguments.
statement = 'SELECT * FROM `travel-sample`.inventory.airline WHERE country=$1 LIMIT $2;'
res = cluster.execute_query(statement, QueryOptions(positional_parameters=['United States', 10]))
for row in res:
print(f'Found row: {row}')
print(f'metadata={res.metadata()}')
# Execute a streaming query with named arguments.
statement = 'SELECT * FROM `travel-sample`.inventory.airline WHERE country=$country LIMIT $limit;'
res = cluster.execute_query(statement, QueryOptions(named_parameters={'country': 'United States',
'limit': 10}))
for row in res.rows():
print(f'Found row: {row}')
print(f'metadata={res.metadata()}')
if __name__ == '__main__':
main()
```
## Using the async API
```python
from acouchbase_columnar import get_event_loop
from acouchbase_columnar.cluster import AsyncCluster
from couchbase_columnar.credential import Credential
from couchbase_columnar.options import QueryOptions
async def main() -> None:
# Update this to your cluster
connstr = 'couchbases://--your-instance--'
username = 'username'
pw = 'Password!123'
# User Input ends here.
cred = Credential.from_username_and_password(username, pw)
cluster = AsyncCluster.create_instance(connstr, cred)
# Execute a query and buffer all result rows in client memory.
statement = 'SELECT * FROM `travel-sample`.inventory.airline LIMIT 10;'
res = await cluster.execute_query(statement)
all_rows = await res.get_all_rows()
# NOTE: all_rows is a list, _do not_ use `async for`
for row in all_rows:
print(f'Found row: {row}')
print(f'metadata={res.metadata()}')
# Execute a query and process rows as they arrive from server.
statement = 'SELECT * FROM `travel-sample`.inventory.airline WHERE country="United States" LIMIT 10;'
res = await cluster.execute_query(statement)
async for row in res.rows():
print(f'Found row: {row}')
print(f'metadata={res.metadata()}')
# Execute a streaming query with positional arguments.
statement = 'SELECT * FROM `travel-sample`.inventory.airline WHERE country=$1 LIMIT $2;'
res = await cluster.execute_query(statement, QueryOptions(positional_parameters=['United States', 10]))
async for row in res:
print(f'Found row: {row}')
print(f'metadata={res.metadata()}')
# Execute a streaming query with named arguments.
statement = 'SELECT * FROM `travel-sample`.inventory.airline WHERE country=$country LIMIT $limit;'
res = await cluster.execute_query(statement, QueryOptions(named_parameters={'country': 'United States',
'limit': 10}))
async for row in res.rows():
print(f'Found row: {row}')
print(f'metadata={res.metadata()}')
if __name__ == '__main__':
loop = get_event_loop()
loop.run_until_complete(main())
```
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"description": "# Couchbase Python Columnar Client\nPython client for [Couchbase](https://couchbase.com) Columnar\n\nCurrently Python 3.8 - Python 3.12 is supported.\n\nThe Columnar SDK supports static typing. Currently only [mypy](https://github.com/python/mypy) is supported. You mileage may vary (YMMV) with the use of other static type checkers (e.g. [pyright](https://github.com/microsoft/pyright)).\n\n# Installing the SDK<a id=\"installing-the-sdk\"></a>\n\nWheels are provided for linux, MacOS and Windows environments for supported Python versions (currently Python 3.8 - Python 3.12).\n\n>Note: It is strongly recommended to update pip, setuptools and wheel prior to installing the SDK: `python3 -m pip install --upgrade pip setuptools wheel`\n\nInstall the SDK via `pip`:\n```console\npython3 -m pip install couchbase-columnar\n```\n\n# Installing the SDK from source\n\nIf a compatible wheel is not available, the SDK's binary will need to be built from source:\n\n1. Follow the steps on the [BUILDING page](https://github.com/couchbaselabs/columnar-python-client/blob/main/BUILDING.md)\n2. After the build succeeds, the SDK can be used by running Python scripts from within the cloned repository or the SDK can be installed via pip: `python3 -m pip install <path to cloned repository>`\n4. Install the `typing-extensions` dependency: `python3 -m pip install typing-extensions`\n\n\n# Using the SDK<a id=\"using-the-sdk\"></a>\n\nSome more examples are provided in the [examples directory](https://github.com/couchbaselabs/columnar-python-client/tree/main/examples).\n\n**Connecting and executing a query**\n```python\nfrom couchbase_columnar.cluster import Cluster\nfrom couchbase_columnar.credential import Credential\nfrom couchbase_columnar.options import QueryOptions\n\n\ndef main() -> None:\n # Update this to your cluster\n connstr = 'couchbases://--your-instance--'\n username = 'username'\n pw = 'Password!123'\n # User Input ends here.\n\n cred = Credential.from_username_and_password(username, pw)\n cluster = Cluster.create_instance(connstr, cred)\n\n # Execute a query and buffer all result rows in client memory.\n statement = 'SELECT * FROM `travel-sample`.inventory.airline LIMIT 10;'\n res = cluster.execute_query(statement)\n all_rows = res.get_all_rows()\n for row in all_rows:\n print(f'Found row: {row}')\n print(f'metadata={res.metadata()}')\n\n # Execute a query and process rows as they arrive from server.\n statement = 'SELECT * FROM `travel-sample`.inventory.airline WHERE country=\"United States\" LIMIT 10;'\n res = cluster.execute_query(statement)\n for row in res.rows():\n print(f'Found row: {row}')\n print(f'metadata={res.metadata()}')\n\n # Execute a streaming query with positional arguments.\n statement = 'SELECT * FROM `travel-sample`.inventory.airline WHERE country=$1 LIMIT $2;'\n res = cluster.execute_query(statement, QueryOptions(positional_parameters=['United States', 10]))\n for row in res:\n print(f'Found row: {row}')\n print(f'metadata={res.metadata()}')\n\n # Execute a streaming query with named arguments.\n statement = 'SELECT * FROM `travel-sample`.inventory.airline WHERE country=$country LIMIT $limit;'\n res = cluster.execute_query(statement, QueryOptions(named_parameters={'country': 'United States',\n 'limit': 10}))\n for row in res.rows():\n print(f'Found row: {row}')\n print(f'metadata={res.metadata()}')\n\n\nif __name__ == '__main__':\n main()\n\n```\n\n## Using the async API\n```python\nfrom acouchbase_columnar import get_event_loop\nfrom acouchbase_columnar.cluster import AsyncCluster\nfrom couchbase_columnar.credential import Credential\nfrom couchbase_columnar.options import QueryOptions\n\n\nasync def main() -> None:\n # Update this to your cluster\n connstr = 'couchbases://--your-instance--'\n username = 'username'\n pw = 'Password!123'\n # User Input ends here.\n\n cred = Credential.from_username_and_password(username, pw)\n cluster = AsyncCluster.create_instance(connstr, cred)\n\n # Execute a query and buffer all result rows in client memory.\n statement = 'SELECT * FROM `travel-sample`.inventory.airline LIMIT 10;'\n res = await cluster.execute_query(statement)\n all_rows = await res.get_all_rows()\n # NOTE: all_rows is a list, _do not_ use `async for`\n for row in all_rows:\n print(f'Found row: {row}')\n print(f'metadata={res.metadata()}')\n\n # Execute a query and process rows as they arrive from server.\n statement = 'SELECT * FROM `travel-sample`.inventory.airline WHERE country=\"United States\" LIMIT 10;'\n res = await cluster.execute_query(statement)\n async for row in res.rows():\n print(f'Found row: {row}')\n print(f'metadata={res.metadata()}')\n\n # Execute a streaming query with positional arguments.\n statement = 'SELECT * FROM `travel-sample`.inventory.airline WHERE country=$1 LIMIT $2;'\n res = await cluster.execute_query(statement, QueryOptions(positional_parameters=['United States', 10]))\n async for row in res:\n print(f'Found row: {row}')\n print(f'metadata={res.metadata()}')\n\n # Execute a streaming query with named arguments.\n statement = 'SELECT * FROM `travel-sample`.inventory.airline WHERE country=$country LIMIT $limit;'\n res = await cluster.execute_query(statement, QueryOptions(named_parameters={'country': 'United States',\n 'limit': 10}))\n async for row in res.rows():\n print(f'Found row: {row}')\n print(f'metadata={res.metadata()}')\n\nif __name__ == '__main__':\n loop = get_event_loop()\n loop.run_until_complete(main())\n\n```\n",
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