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https://issues.apache.org/jira/browse/IGNITE-11724?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Nikolay Izhikov updated IGNITE-11724:
-------------------------------------
Description:
Next code could hang in case if PairFunction logic will throw the exception:
{code:java}
JavaPairRDD<Key, Value> rdd_records = records.mapToPair(new MapFunction());
JavaIgniteContext<Key, Value> igniteContext = new JavaIgniteContext<>(sparkCtx,
configUrl);
JavaIgniteRDD<Key, Value> igniteRdd = igniteContext.<Key,
Value>fromCache(cacheName);
igniteRdd.savePairs(rdd_records);
Looks like next internal code (saveValues method)should also close the
IgniteContext in case of an unexpected exception, not only data streamer:
try {
it.foreach(value ⇒
{ val key = affinityKeyFunc(value, node.orNull)
streamer.addData(key, value) }
)
}
finally
{ streamer.close() }
})
}
{code}
was:
Next code could hang in case if PairFunction logic will throw the exception:
JavaPairRDD<Key, Value> rdd_records = records.mapToPair(new MapFunction());
JavaIgniteContext<Key, Value> igniteContext = new JavaIgniteContext<>(sparkCtx,
configUrl);
JavaIgniteRDD<Key, Value> igniteRdd = igniteContext.<Key,
Value>fromCache(cacheName);
igniteRdd.savePairs(rdd_records);
Looks like next internal code (saveValues method)should also close the
IgniteContext in case of an unexpected exception, not only data streamer:
try {
it.foreach(value ⇒ {
val key = affinityKeyFunc(value, node.orNull)
streamer.addData(key, value)
})
}
finally {
streamer.close()
}
})
}
> IgniteSpark integration forget to close the IgniteContext and stops the
> client node in case if error during PairFunction logic
> -------------------------------------------------------------------------------------------------------------------------------
>
> Key: IGNITE-11724
> URL: https://issues.apache.org/jira/browse/IGNITE-11724
> Project: Ignite
> Issue Type: Bug
> Components: spark
> Affects Versions: 2.8
> Reporter: Andrey Aleksandrov
> Assignee: Alexey Zinoviev
> Priority: Major
> Labels: await
> Fix For: 2.8
>
> Time Spent: 20m
> Remaining Estimate: 0h
>
> Next code could hang in case if PairFunction logic will throw the exception:
> {code:java}
> JavaPairRDD<Key, Value> rdd_records = records.mapToPair(new MapFunction());
> JavaIgniteContext<Key, Value> igniteContext = new
> JavaIgniteContext<>(sparkCtx, configUrl);
> JavaIgniteRDD<Key, Value> igniteRdd = igniteContext.<Key,
> Value>fromCache(cacheName);
> igniteRdd.savePairs(rdd_records);
> Looks like next internal code (saveValues method)should also close the
> IgniteContext in case of an unexpected exception, not only data streamer:
> try {
> it.foreach(value ⇒
> { val key = affinityKeyFunc(value, node.orNull)
> streamer.addData(key, value) }
> )
> }
> finally
> { streamer.close() }
> })
> }
> {code}
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