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