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Posted to issues@spark.apache.org by "Sergio Monteiro (JIRA)" <ji...@apache.org> on 2017/05/02 00:43:04 UTC
[jira] [Created] (SPARK-20551) ImportError adding custom class from
jar in pyspark
Sergio Monteiro created SPARK-20551:
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Summary: ImportError adding custom class from jar in pyspark
Key: SPARK-20551
URL: https://issues.apache.org/jira/browse/SPARK-20551
Project: Spark
Issue Type: Bug
Components: PySpark, Spark Shell
Affects Versions: 2.1.0
Reporter: Sergio Monteiro
the flowwing imports are failing in PySpark, even when I set the --jars or --driver-class-path:
import net.ripe.hadoop.pcap.io.PcapInputFormat
import net.ripe.hadoop.pcap.io.CombinePcapInputFormat
import net.ripe.hadoop.pcap.packet.Packet
Using Python version 2.7.12 (default, Nov 19 2016 06:48:10)
SparkSession available as 'spark'.
>>> import net.ripe.hadoop.pcap.io.PcapInputFormat
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
ImportError: No module named net.ripe.hadoop.pcap.io.PcapInputFormat
>>> import net.ripe.hadoop.pcap.io.CombinePcapInputFormat
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
ImportError: No module named net.ripe.hadoop.pcap.io.CombinePcapInputFormat
>>> import net.ripe.hadoop.pcap.packet.Packet
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
ImportError: No module named net.ripe.hadoop.pcap.packet.Packet
>>>
The same works great in spark-shell.
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