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Posted to issues@spark.apache.org by "Sandeep Singh (Jira)" <ji...@apache.org> on 2023/01/05 17:28:00 UTC
[jira] [Updated] (SPARK-41897) Parity in Error types between pyspark and connect functions
[ https://issues.apache.org/jira/browse/SPARK-41897?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sandeep Singh updated SPARK-41897:
----------------------------------
Description:
PySpark throws Py4JJavaError where as connect throws SparkConnectException
{code:java}
from pyspark.sql.functions import assert_true
df = self.spark.range(3)
self.assertEqual(
df.select(assert_true(df.id < 3)).toDF("val").collect(),
[Row(val=None), Row(val=None), Row(val=None)],
)
with self.assertRaises(Py4JJavaError) as cm:
df.select(assert_true(df.id < 2, "too big")).toDF("val").collect(){code}
{code:java}
Traceback (most recent call last):
File "/Users/s.singh/personal/spark-oss/python/pyspark/sql/tests/test_functions.py", line 950, in test_assert_true
df.select(assert_true(df.id < 2, "too big")).toDF("val").collect()
File "/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/dataframe.py", line 1076, in collect
table = self._session.client.to_table(query)
File "/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/client.py", line 414, in to_table
table, _ = self._execute_and_fetch(req)
File "/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/client.py", line 586, in _execute_and_fetch
self._handle_error(rpc_error)
File "/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/client.py", line 629, in _handle_error
raise SparkConnectException(status.message, info.reason) from None
pyspark.sql.connect.client.SparkConnectException: (java.lang.RuntimeException) too big {code}
was:
{code:java}
df = self.spark.range(10e10).toDF("id")
such_a_nice_list = ["itworks1", "itworks2", "itworks3"]
hinted_df = df.hint("my awesome hint", 1.2345, "what", such_a_nice_list){code}
> Parity in Error types between pyspark and connect functions
> -----------------------------------------------------------
>
> Key: SPARK-41897
> URL: https://issues.apache.org/jira/browse/SPARK-41897
> Project: Spark
> Issue Type: Sub-task
> Components: Connect
> Affects Versions: 3.4.0
> Reporter: Sandeep Singh
> Priority: Major
>
> PySpark throws Py4JJavaError where as connect throws SparkConnectException
> {code:java}
> from pyspark.sql.functions import assert_true
> df = self.spark.range(3)
> self.assertEqual(
> df.select(assert_true(df.id < 3)).toDF("val").collect(),
> [Row(val=None), Row(val=None), Row(val=None)],
> )
> with self.assertRaises(Py4JJavaError) as cm:
> df.select(assert_true(df.id < 2, "too big")).toDF("val").collect(){code}
> {code:java}
> Traceback (most recent call last):
> File "/Users/s.singh/personal/spark-oss/python/pyspark/sql/tests/test_functions.py", line 950, in test_assert_true
> df.select(assert_true(df.id < 2, "too big")).toDF("val").collect()
> File "/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/dataframe.py", line 1076, in collect
> table = self._session.client.to_table(query)
> File "/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/client.py", line 414, in to_table
> table, _ = self._execute_and_fetch(req)
> File "/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/client.py", line 586, in _execute_and_fetch
> self._handle_error(rpc_error)
> File "/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/client.py", line 629, in _handle_error
> raise SparkConnectException(status.message, info.reason) from None
> pyspark.sql.connect.client.SparkConnectException: (java.lang.RuntimeException) too big {code}
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