The function ftest_equal_var in the hana_ml.algorithms.pal.stats module tests the equality of two random variances using F-test, with parameters for two dataframes and an optional test type, returning a dataframe with the test results.
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Here is the executable code template based on the provided help doc:

```python
# Import required module
from hana_ml.algorithms.pal import stats

# Define the data
data_x = DataFrame(...)  # replace with actual DataFrame
data_y = DataFrame(...)  # replace with actual DataFrame

# Apply the ftest_equal_var function
res = stats.ftest_equal_var(data_x=data_x, data_y=data_y, test_type='two_sides')

# Collect the results
result = res.collect()
print(result)
```

Please replace `DataFrame(...)` with your actual DataFrame. The DataFrame should be structured in a way that it contains the data you want to test.