Github user obaidcuet commented on the pull request:
https://github.com/apache/spark/pull/9360#issuecomment-216732472
Hi,
Just FYI.
Hope it may be helpful for someone.
I had exactly same issue while reading twitter data from Kafka (collected
using flume).
I have no idea where those non-UTF8 data coming from. The should be
rejected by flume itself.
However, I do not need those special characters and used below to ignore
them:
## create a decoder function with parameter "ignore"
def utf8_decoder_ignore_error(s):
""" Decode the unicode as UTF-8 """
if s is None:
return None
return s.decode('utf-8', "ignore")
## then use that decoder in createDirectStream as below
kvs = KafkaUtils.createDirectStream(ssc, [topic], {"metadata.broker.list":
brokers}, keyDecoder=utf8_decoder_ignore_error,
valueDecoder=utf8_decoder_ignore_error )
-Obaid
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