FeatureBaseDB / python-featurebase

Python client for Featurebase SQL endpoint.

python-featurebase

Python client for Featurebase SQL endpoint.

Client Library Usage:

First install the python-featuebase package. Running make from project folder will build and install the package. After installing the package you can try executing queries as shown in the following examples.

import featurebase

# assuming featurebase runs at "localhost:10101"
# for cloud, pass hostport="query.featurebase.com/v2", database="<database_id>", apikey="<APIKey_secret>"
# create client
client = featurebase.client()

# query the endpoint with SQL
result = client.query("SELECT * from demo;")
if result.ok: 
    print(result.data)

# query the endpoint with a batch of SQLs, running the SQLs synchronously
# Synchronous run best suited for executing DDL and DMLs that need to follow specific run order
# passing the optional parameter "stoponerror=True" will stop execution at the failed SQL and the remaining SQLs in the list will not be executed. 
    sqllist=[]
    sqllist.append("CREATE TABLE demo1(_id id, i1 int);")
    sqllist.append("INSERT INTO demo1(_id, i1) VALUES(1, 100);")
    sqllist.append("INSERT INTO demo1(_id, i1) VALUES(2, 200);")
    sqllist.append("select * from demo1;")
    results = client.querybatch(sqllist, stoponerror=True)
    for result in results:
        if result.ok: 
            print(result.data)
        
# query the endpoint with a batch of SQLs, running the SQLs Asynchronously
# Asynchronous run best suited for running SELECT queries that can be run concurrently.
    sqllist=[]
    sqllist.append("SELECT * from demo1;")
    sqllist.append("SELECT count(*) from demo1;")
    sqllist.append("SELECT max(i1) from demo1;")
    results = client.querybatch(sqllist, asynchronous=True)
    for result in results:
        if result.ok: 
            print(result.data)