Serverless UDFs

Basic Usage
Below we show how to use Python UDFs in TileDB Cloud, with an example that uses numpy to compute the median of random numbers.
Python
Python
import tiledb, tiledb.cloud, numpy, random
​
def median():
  vals = []
  for i in range(1, random.randrange(2,50)):
    vals.append(random.randrange(0, i))
  return numpy.median(vals)
​
tiledb.cloud.login(username="my_username", password="my_password")
# or tiledb.cloud.login(token="my_token")
​
res = tiledb.cloud.udf.exec(median)
print(res)
Passing Arguments
The UDF can receive any number of arguments, with keyword arguments supported as well.
Python
Python
import tiledb, tiledb.cloud, numpy, random
​
def multi_args(arg1, arg2, arg3=None, arg4={}):
  # These will print in the logs of the udf
  print("type(arg1)={}, arg1={}\n".format(type(arg1), arg1))
  print("type(arg2)={}, arg2={}\n".format(type(arg2), arg2))
  print("type(arg3)={}, arg3={}\n".format(type(arg3), arg3))
  print("type(arg4)={}, arg4={}\n".format(type(arg4), arg4))
  return
​
tiledb.cloud.login(username="my_username", password="my_password")
# or tiledb.cloud.login(token="my_token")
​
res = tiledb.cloud.udf.exec(multi_args, 
        [1,2,3], 
        {"dictionary": "arg2_test"}, 
        False, 
        arg4=True)
print(res) # None since the function returned nothing
​
# View the logs
print(tiledb.cloud.last_udf_task().logs)
Asynchronous Execution
An async version of UDFs is available, which returns a future.
Python
Python
import tiledb, tiledb.cloud, numpy, random
​
def median():
  vals = []
  for i in range(1, random.randrange(2,50)):
    vals.append(random.randrange(0, i))
  return numpy.median(vals)
​
tiledb.cloud.login(username="my_username", password="my_password")
# or tiledb.cloud.login(token="my_token")
​
# Res will be a future
res = tiledb.cloud.udf.exec_async(median)
​
# call res.get() to block on the results
print(res.get())
Selecting Who to Charge
If you you are a member of an organization, then by default the organization is charged for your UDF. If you would like to charge the UDF task to yourself, you just need to add one extra argument namespace. 
Python
Python
import tiledb, tiledb.cloud, numpy, random
​
def median():
  vals = []
  for i in range(1, random.randrange(2,50)):
    vals.append(random.randrange(0, i))
  return numpy.median(vals)
​
tiledb.cloud.login(username="my_username", password="my_password")
# or tiledb.cloud.login(token="my_token")
​
res = tiledb.cloud.udf.exec(median, namespace="my_username")
print(res)
Registering a UDF
You can register a UDF (similar to arrays) as follows:
Python
Python
import tiledb, tiledb.cloud, numpy, random
​
def median():
  vals = []
  for i in range(1, random.randrange(2,50)):
    vals.append(random.randrange(0, i))
  return numpy.median(vals)
​
tiledb.cloud.login(username="my_username", password="my_password")
# or tiledb.cloud.login(token="my_token")
​
tiledb.cloud.udf.register_generic_udf(median, name="my_median", namespace="my_username")
In order to be able to register a UDF you need to set up the default storage path for you and/or your organization.
Retry Settings
See Retry Settings.
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Last updated 5 months ago