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Posted to issues@spark.apache.org by "Sandeep Singh (Jira)" <ji...@apache.org> on 2023/01/04 02:39:00 UTC

[jira] [Updated] (SPARK-41868) Support data type Duration(NANOSECOND)

     [ https://issues.apache.org/jira/browse/SPARK-41868?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sandeep Singh updated SPARK-41868:
----------------------------------
    Description: 
{code:java}
import pandas as pd
from datetime import timedelta

df = self.spark.createDataFrame(pd.DataFrame({"a": [timedelta(microseconds=123)]})) {code}
{code:java}
Traceback (most recent call last):
  File "/Users/s.singh/personal/spark-oss/python/pyspark/sql/tests/test_dataframe.py", line 1291, in test_create_dataframe_from_pandas_with_day_time_interval
    self.assertEqual(df.toPandas().a.iloc[0], timedelta(microseconds=123))
  File "/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/dataframe.py", line 1031, in toPandas
    return self._session.client.to_pandas(query)
  File "/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/client.py", line 413, in to_pandas
    return self._execute_and_fetch(req)
  File "/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/client.py", line 573, in _execute_and_fetch
    self._handle_error(rpc_error)
  File "/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/client.py", line 623, in _handle_error
    raise SparkConnectException(status.message, info.reason) from None
pyspark.sql.connect.client.SparkConnectException: (org.apache.spark.SparkUnsupportedOperationException) Unsupported data type: Duration(NANOSECOND){code}

  was:
{code:java}
File "/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/functions.py", line 1966, in pyspark.sql.connect.functions.hour
Failed example:
    df.select(hour('ts').alias('hour')).collect()
Exception raised:
    Traceback (most recent call last):
      File "/usr/local/Cellar/python@3.10/3.10.8/Frameworks/Python.framework/Versions/3.10/lib/python3.10/doctest.py", line 1350, in __run
        exec(compile(example.source, filename, "single",
      File "<doctest pyspark.sql.connect.functions.hour[2]>", line 1, in <module>
        df.select(hour('ts').alias('hour')).collect()
      File "/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/dataframe.py", line 1017, in collect
        pdf = self.toPandas()
      File "/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/dataframe.py", line 1031, in toPandas
        return self._session.client.to_pandas(query)
      File "/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/client.py", line 413, in to_pandas
        return self._execute_and_fetch(req)
      File "/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/client.py", line 573, in _execute_and_fetch
        self._handle_error(rpc_error)
      File "/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/client.py", line 623, in _handle_error
        raise SparkConnectException(status.message, info.reason) from None
    pyspark.sql.connect.client.SparkConnectException: (org.apache.spark.SparkUnsupportedOperationException) Unsupported data type: Timestamp(NANOSECOND, null){code}


> Support data type Duration(NANOSECOND)
> --------------------------------------
>
>                 Key: SPARK-41868
>                 URL: https://issues.apache.org/jira/browse/SPARK-41868
>             Project: Spark
>          Issue Type: Sub-task
>          Components: Connect
>    Affects Versions: 3.4.0
>            Reporter: Sandeep Singh
>            Priority: Major
>
> {code:java}
> import pandas as pd
> from datetime import timedelta
> df = self.spark.createDataFrame(pd.DataFrame({"a": [timedelta(microseconds=123)]})) {code}
> {code:java}
> Traceback (most recent call last):
>   File "/Users/s.singh/personal/spark-oss/python/pyspark/sql/tests/test_dataframe.py", line 1291, in test_create_dataframe_from_pandas_with_day_time_interval
>     self.assertEqual(df.toPandas().a.iloc[0], timedelta(microseconds=123))
>   File "/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/dataframe.py", line 1031, in toPandas
>     return self._session.client.to_pandas(query)
>   File "/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/client.py", line 413, in to_pandas
>     return self._execute_and_fetch(req)
>   File "/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/client.py", line 573, in _execute_and_fetch
>     self._handle_error(rpc_error)
>   File "/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/client.py", line 623, in _handle_error
>     raise SparkConnectException(status.message, info.reason) from None
> pyspark.sql.connect.client.SparkConnectException: (org.apache.spark.SparkUnsupportedOperationException) Unsupported data type: Duration(NANOSECOND){code}



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