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Posted to issues@spark.apache.org by "Brian ONeill (JIRA)" <ji...@apache.org> on 2016/04/06 03:17:25 UTC
[jira] [Created] (SPARK-14421) Kinesis deaggregation with PySpark
Brian ONeill created SPARK-14421:
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Summary: Kinesis deaggregation with PySpark
Key: SPARK-14421
URL: https://issues.apache.org/jira/browse/SPARK-14421
Project: Spark
Issue Type: Bug
Affects Versions: 1.6.1
Environment: PySpark w/ Kinesis word count example
Reporter: Brian ONeill
I'm creating this issue as a precaution...
We have some preliminary evidence that indicates that KPL de-aggregation for Kinesis streams may not work in Spark 1.6.1. Using the PySpark Kinesis Word Count example, we don't receive records when KPL is used to produce the data, with aggregation turned on, using masterUrl = local[16].
At the same time, I noticed this thread:
https://forums.aws.amazon.com/message.jspa?messageID=707122
Following the instructions here:
http://brianoneill.blogspot.com/2016/03/pyspark-on-amazon-emr-w-kinesis.html
The example will sometimes work. When aggregation is disabled, it appears to always work. I'm going to dig a bit deeper, but thought you might have some pointers.
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