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https://github.com/couchbase/columnar-python-client

Couchbase Python Columnar Client Library
https://github.com/couchbase/columnar-python-client

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Couchbase Python Columnar Client Library

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# 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

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 `
4. Install the `typing-extensions` dependency: `python3 -m pip install typing-extensions`

# Using the SDK

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())

```