Serverless UDFs

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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
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import tiledb, tiledb.cloud, numpy, random
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​
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def median():
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  vals = []
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  for i in range(1, random.randrange(2,50)):
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    vals.append(random.randrange(0, i))
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  return numpy.median(vals)
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​
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tiledb.cloud.login(username="my_username", password="my_password")
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# or tiledb.cloud.login(token="my_token")
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​
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res = tiledb.cloud.udf.exec(median)
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print(res)
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Passing Arguments
The UDF can receive any number of arguments, with keyword arguments supported as well.
Python
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import tiledb, tiledb.cloud, numpy, random
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​
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def multi_args(arg1, arg2, arg3=None, arg4={}):
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  # These will print in the logs of the udf
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  print("type(arg1)={}, arg1={}\n".format(type(arg1), arg1))
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  print("type(arg2)={}, arg2={}\n".format(type(arg2), arg2))
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  print("type(arg3)={}, arg3={}\n".format(type(arg3), arg3))
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  print("type(arg4)={}, arg4={}\n".format(type(arg4), arg4))
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  return
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​
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tiledb.cloud.login(username="my_username", password="my_password")
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# or tiledb.cloud.login(token="my_token")
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​
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res = tiledb.cloud.udf.exec(multi_args, 
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        [1,2,3], 
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        {"dictionary": "arg2_test"}, 
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        False, 
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        arg4=True)
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print(res) # None since the function returned nothing
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​
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# View the logs
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print(tiledb.cloud.last_udf_task().logs)
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Asynchronous Execution
An async version of UDFs is available, which returns a future.
Python
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import tiledb, tiledb.cloud, numpy, random
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​
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def median():
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  vals = []
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  for i in range(1, random.randrange(2,50)):
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    vals.append(random.randrange(0, i))
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  return numpy.median(vals)
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​
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tiledb.cloud.login(username="my_username", password="my_password")
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# or tiledb.cloud.login(token="my_token")
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​
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# Res will be a future
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res = tiledb.cloud.udf.exec_async(median)
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​
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# call res.get() to block on the results
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print(res.get())
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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
1
import tiledb, tiledb.cloud, numpy, random
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​
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def median():
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  vals = []
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  for i in range(1, random.randrange(2,50)):
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    vals.append(random.randrange(0, i))
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  return numpy.median(vals)
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​
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tiledb.cloud.login(username="my_username", password="my_password")
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# or tiledb.cloud.login(token="my_token")
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​
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res = tiledb.cloud.udf.exec(median, namespace="my_username")
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print(res)
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Registering a UDF
You can register a UDF (similar to arrays) as follows:
Python
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import tiledb, tiledb.cloud, numpy, random
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​
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def median():
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  vals = []
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  for i in range(1, random.randrange(2,50)):
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    vals.append(random.randrange(0, i))
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  return numpy.median(vals)
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​
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tiledb.cloud.login(username="my_username", password="my_password")
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# or tiledb.cloud.login(token="my_token")
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​
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tiledb.cloud.udf.register_generic_udf(median, name="my_median", namespace="my_username")
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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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Serverless Array UDFs
Last modified 8mo ago
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Contents
Basic Usage
Passing Arguments
Asynchronous Execution
Selecting Who to Charge
Registering a UDF
Retry Settings