The multinomial function in the hana_ml.algorithms.pal.random module draws samples from a multinomial distribution, given a database connection object, number of trials, success fractions of each category, and optional parameters for the number of random data to be generated, seed for the random number generator, and thread ratio.
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Here is the executable code template based on the help doc:

```python
from hana_ml.algorithms.pal.random import multinomial
from hana_ml import dataframe as df

# Create a connection context
cc = df.ConnectionContext(address='<address>', port='<port>', user='<user>', password='<password>')

# Define parameters
n = 10
pvals = (0.1, 0.2, 0.3, 0.4)
num_random = 10
seed = None
thread_ratio = None

# Draw samples from a multinomial distribution
res = multinomial(conn_context=cc, n=n, pvals=pvals, num_random=num_random, seed=seed, thread_ratio=thread_ratio)

# Collect and print the result
print(res.collect())
```

Please replace `<address>`, `<port>`, `<user>`, and `<password>` with your actual HANA database connection details.