SPRKPY1061

pyspark.sql.functions.unix_timestamp

Message: Snowpark does not support unix_timestamp functions

Category: Warning

Description

In Snowpark, the first parameter is mandatory; the issue appears when the tool detects the usage of pyspark.sql.functions.unix_timestamp with no parameters.

Scenario

Input

Below an example that calls the unix_timestamp method without parameters.

data = [["2015-04-08", "10"],["2015-04-10", "15"]]

df = spark.createDataFrame(data, ['dt', 'val'])
df.select(unix_timestamp()).show()

Output

The Snowpark signature for this function unix_timestamp(e: ColumnOrName, fmt: Optional["Column"] = None), as you can notice the first parameter it's required.

The tool adds this EWI SPRKPY1061 to let you know that function unix_timestamp with no parameters it's not supported in Snowpark.

data = [["2015-04-08", "10"],["2015-04-10", "15"]]

df = spark.createDataFrame(data, ['dt', 'val'])
#EWI: SPRKPY1061 => Snowpark does not support unix_timestamp functions with no parameters. See documentation for more info.
df.select(unix_timestamp()).show()

Recommended fix

As a workaround, you can add at least the name or column of the timestamp string.

data = [["2015-04-08", "10"],["2015-04-10", "15"]]

df = spark.createDataFrame(data, ["dt", "val"])
df.select(unix_timestamp("dt")).show()

Additional recommendations

• You also can add the current_timestamp() as the first parameter.

• For more support, you can email us at [e-mail] or post an issue in the SMA.