This repo archived Sept 2022 as part of the transition from Pilosa to FeatureBase. Please contact community[at]featurebase[dot]com with any questions.
Python client for Pilosa high performance distributed row index.
See: CHANGELOG
- Compatible with Pilosa 1.2 and Pilosa 1.3
- Requires Python 2.7 and higher or Python 3.4 and higher.
Pilosa client is on PyPI. You can install the library using pip:
pip install pilosa
Assuming Pilosa server is running at localhost:10101 (the default):
import pilosa # Create the default client client = pilosa.Client() # Retrieve the schema schema = client.schema() # Create an Index object myindex = schema.index("myindex") # Create a Field object myfield = myindex.field("myfield") # make sure the index and field exists on the server client.sync_schema(schema) # Send a Set query. PilosaError is thrown if execution of the query fails. client.query(myfield.set(5, 42)) # Send a Row query. PilosaError is thrown if execution of the query fails. response = client.query(myfield.row(5)) # Get the result result = response.result # Act on the result if result: columns = result.row.columns print("Got columns: ", columns) # You can batch queries to improve throughput response = client.query( myindex.batch_query( myfield.row(5), myfield.row(10), ) ) for result in response.results: # Act on the result print(result.row.columns)
See: Server Interaction
See: Importing and Exporting Data
See: CONTRIBUTING
See: LICENSE