Overview
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Spark SQL
Pandas API on Spark
Structured Streaming
MLlib (DataFrame-based)
Spark Streaming (Legacy)
MLlib (RDD-based)
Spark Core
Resource Management
Errors
pyspark.errors.PySparkException
¶
exception
pyspark.errors.
PySparkException
(
message
:
Optional
[
str
]
=
None
,
error_class
:
Optional
[
str
]
=
None
,
message_parameters
:
Optional
[
Dict
[
str
,
str
]
]
=
None
)
[source]
¶
Base Exception for handling errors generated from PySpark.
Errors
pyspark.errors.AnalysisException